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ORCID17th ICCV Workshops 2019: Seoul, South Korea
- 2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019. IEEE 2019, ISBN 978-1-7281-5023-9
VisDrone 2019 Workshop
- Junyi Zhang, Junying Huang, Xuankun Chen, Dongyu Zhang:
How to Fully Exploit The Abilities of Aerial Image Detectors. 1-8 - Junyi Zhang, Ziliang Chen, Junying Huang, Liang Lin, Dongyu Zhang:
Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing. 9-17 - Haoyue Bai, Song Wen, S.-H. Gary Chan:
Crowd Counting on Images with Scale Variation and Isolated Clusters. 18-27 - Ding Ma, Xiangqian Wu:
Learning Cascaded Context-Aware Framework for Robust Visual Tracking. 28-36 - Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li:
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications. 37-45 - Håkan Ardö, Mikael G. Nilsson:
Multi Target Tracking from Drones by Learning from Generalized Graph Differences. 46-54 - Wei Ren Tan, Shang-Hong Lai
:
i-Siam: Improving Siamese Tracker with Distractors Suppression and Long-Term Strategies. 55-63 - Haoran Wang, Zexin Wang, Meixia Jia, Aijin Li, Tuo Feng, Wenhua Zhang, Licheng Jiao:
Spatial Attention for Multi-Scale Feature Refinement for Object Detection. 64-72 - Amarjot Singh, Kranthi Kiran G. V., Onkar Harsh, Rishav Kumar, Koushlendra Singh Rajput, Chandra S. S. Vamsi:
Real-Time Aerial Suspicious Analysis (ASANA) System for the Identification and Re-Identification of Suspicious Individuals using the Bayesian ScatterNet Hybrid (BSH) Network. 73-81 - Wenxiang Shen, Pinle Qin, Jianchao Zeng:
An Indoor Crowd Detection Network Framework Based on Feature Aggregation Module and Hybrid Attention Selection Module. 82-90 - Yuan Gao, Chenglong Li, Yabin Zhu, Jin Tang, Tao He, Futian Wang:
Deep Adaptive Fusion Network for High Performance RGBT Tracking. 91-99 - Changrui Chen, Yu Zhang, Qingxuan Lv, Shuo Wei, Xiaorui Wang, Xin Sun, Junyu Dong:
RRNet: A Hybrid Detector for Object Detection in Drone-Captured Images. 100-108 - Wenhua Zhang, Haoran Wang, Zhongjian Huang, Yuxuan Li, Jinliu Zhou, Licheng Jiao:
Accuracy and Long-Term Tracking via Overlap Maximization Integrated with Motion Continuity. 109-117 - Xindi Zhang, Ebroul Izquierdo, Krishna Chandramouli:
Dense and Small Object Detection in UAV Vision Based on Cascade Network. 118-126 - Sungeun Hong, Sungil Kang, Donghyeon Cho:
Patch-Level Augmentation for Object Detection in Aerial Images. 127-134 - Siyang Pan, Zhihang Tong, Yanyun Zhao, Zhicheng Zhao, Fei Su, Bojin Zhuang:
Multi-Object Tracking Hierarchically in Visual Data Taken From Drones. 135-143 - Yong Wang, Lu Ding, Robert Laganière:
Real-Time UAV Tracking Based on PSR Stability. 144-152 - Yong Zhou, Dengqing Tang, Han Zhou, Xiaojia Xiang, Tianjiang Hu:
Vision-Based Online Localization and Trajectory Smoothing for Fixed-Wing UAV Tracking a Moving Target. 153-160 - Weiqiang Li, Jiatong Mu, Guizhong Liu:
Multiple Object Tracking with Motion and Appearance Cues. 161-169 - Han Wu, Xueyuan Yang, Yong Yang, Guizhong Liu:
Flow Guided Short-Term Trackers with Cascade Detection for Long-Term Tracking. 170-178 - Zhaoliang Pi, Yanchao Lian, Xier Chen, Yinan Wu, Yingping Li, Licheng Jiao:
A Novel Spatial and Temporal Context-Aware Approach for Drone-Based Video Object Detection. 179-188 - Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang:
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. 189-198 - Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhen-Hua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang:
VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. 199-212 - Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong:
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. 213-226 - Pengfei Zhu, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Dawei Du, Jing Ge, Jingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Longyin Wen, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Xiao Bian, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang:
VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results. 227-235
CVWC 2019 Workshop
- Max Bain, Arsha Nagrani, Daniel Schofield, Andrew Zisserman:
Count, Crop and Recognise: Fine-Grained Recognition in the Wild. 236-246 - Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam:
Geo-Aware Networks for Fine-Grained Recognition. 247-254 - Xinyu Yang, Majid Mirmehdi, Tilo Burghardt:
Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending. 255-262 - Matthias Körschens, Joachim Denzler:
ELPephants: A Fine-Grained Dataset for Elephant Re-Identification. 263-270 - Julian Marstaller, Frederic Tausch, Simon Stock:
DeepBees - Building and Scaling Convolutional Neuronal Nets For Fast and Large-Scale Visual Monitoring of Bee Hives. 271-278 - Hongnian Wang, Han Su, Peng Chen, Rong Hou, Zhihe Zhang, Weiyi Xie:
Learning Deep Features for Giant Panda Gender Classification using Face Images. 279-285 - Ning Liu, Qijun Zhao, Nan Zhang, Xinhua Cheng, Jianing Zhu:
Pose-Guided Complementary Features Learning for Amur Tiger Re-Identification. 286-293 - Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell:
A Hybrid Approach to Tiger Re-Identification. 294-301 - Jiwen Yu, Haibo Su, Junnan Liu, Zhizheng Yang, Zhouyangzi Zhang, Yixin Zhu, Lu Yang, Bingliang Jiao:
A Strong Baseline for Tiger Re-ID and its Bag of Tricks. 302-309 - Orest Kupyn, Dmitry Pranchuk:
Fast and Efficient Model for Real-Time Tiger Detection In The Wild. 310-314 - Cen Liu, Rong Zhang, Lijun Guo:
Part-Pose Guided Amur Tiger Re-Identification. 315-322
VRMI 2019 Workshop
- Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan:
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. 323-331 - Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Site Li, Lu Jun:
Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis. 332-341 - Sajid Javed, Arif Mahmood, Naoufel Werghi, Nasir M. Rajpoot:
Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images. 342-351 - Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala:
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. 352-361 - Zhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma:
DeepLIMa: Deep Learning Based Lesion Identification in Mammograms. 362-370 - Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko:
Breast Tumor Cellularity Assessment Using Deep Neural Networks. 371-380 - Mengliu Zhao, Ghassan Hamarneh:
Retinal Image Classification via Vasculature-Guided Sequential Attention. 381-387 - Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. 388-398 - Pablo Laiz, Jordi Vitrià, Santi Seguí:
Using the Triplet Loss for Domain Adaptation in WCE. 399-405 - Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera:
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions. 406-415 - Huan Qi, Sally L. Collins, J. Alison Noble:
UPI-Net: Semantic Contour Detection in Placental Ultrasound. 416-424 - Shohrukh Bekmirzaev, Seoyoung Oh, Sangwook Yoo:
RethNet: Object-by-Object Learning for Detecting Facial Skin Problems. 425-433 - Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung:
Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. 434-439 - Hyebin Lee, Seong Tae Kim, Yong Man Ro:
Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided Diagnosis. 440-449 - Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala:
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. 450-459 - Jaehwan Lee, Donggeun Yoo, Hyo-Eun Kim:
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction. 460-466 - Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition. 467-475 - Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh:
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. 476-484
DFW 2019 Workshop
- Jiankang Deng, Stefanos Zafeiriou:
ArcFace for Disguised Face Recognition. 485-493 - Taewook Kim, Yonghyun Kim, Inhan Kim, Daijin Kim:
BASN: Enriching Feature Representation Using Bipartite Auxiliary Supervisions for Face Anti-Spoofing. 494-503 - Lei Jiang, Xiao-Jun Wu, Josef Kittler:
Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment. 504-513 - Timothy Zee, Geeta Gali, Ifeoma Nwogu:
Enhancing Human Face Recognition with an Interpretable Neural Network. 514-522 - Quanxue Gao, Jiafeng Cheng, De-Yan Xie, Pu Zhang, Wei Xia, Qianqian Wang:
Tensor Linear Regression and Its Application to Color Face Recognition. 523-531 - Arulkumar Subramaniam, Ajay Narayanan Sridhar, Anurag Mittal:
Feature Ensemble Networks with Re-Ranking for Recognizing Disguised Faces in the Wild. 532-541 - Maneet Singh, Mohit Chawla, Richa Singh, Mayank Vatsa, Rama Chellappa:
Disguised Faces in the Wild 2019. 542-550 - Evgeny Smirnov, Andrei Oleinik, Aleksandr Lavrentev, Elizaveta Shulga, Vasiliy Galyuk, Nikita Garaev, Margarita Zakuanova, Aleksandr Melnikov:
Face Representation Learning using Composite Mini-Batches. 551-559
RSL-CV 2019 Workshop
- Maren Awiszus, Hanno Ackermann, Bodo Rosenhahn:
Learning Disentangled Representations via Independent Subspaces. 560-568 - Sami Sebastian Brandt, Hanno Ackermann, Stella Grasshof:
Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis. 569-578 - Björn Browatzki, Christian Wallraven:
Robust Discrimination and Generation of Faces using Compact, Disentangled Embeddings. 579-588 - Lei He, Hongwei Yang, Lina Zhao:
Tensor Subspace Learning and Classification: Tensor Local Discriminant Embedding for Hyperspectral Image. 589-598 - Taehyeon Kim, Jieun Lee, Yoonsik Choe:
Tensor Train Decomposition for Efficient Memory Saving in Perceptual Feature-Maps. 599-604 - Sajid Javed, Jorge Dias, Naoufel Werghi:
Low-Rank Tensor Tracking. 605-614 - Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Structuring Autoencoders. 615-623 - Kewei Tang, Kaiqiang Xu, Zhixun Su, Wei Jiang, Xiaonan Luo, Xiyan Sun:
Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering. 624-632 - Junghoon Seo, Jamyoung Koo, Taegyun Jeon:
Deep Closed-Form Subspace Clustering. 633-642 - Kyle Gilman, Laura Balzano:
Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation. 643-651 - Hiroki Hiraoka, Atsushi Imiya:
Topological Labelling of Scene using Background/Foreground Separation and Epipolar Geometry. 652-660 - Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung:
Complete Moving Object Detection in the Context of Robust Subspace Learning. 661-668 - Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal:
Classifying and Comparing Approaches to Subspace Clustering with Missing Data. 669-677 - Connor Lane, Benjamin D. Haeffele, René Vidal:
Adaptive Online k-Subspaces with Cooperative Re-Initialization. 678-688
YouTube-VOS 2019 Workshop
- Zhishan Zhou, Lejian Ren, Pengfei Xiong, Yifei Ji, Peisen Wang, Haoqiang Fan, Si Liu:
Enhanced Memory Network for Video Segmentation. 689-692 - Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Wenyu Liu, Xinggang Wang:
Motion-Guided Spatial Time Attention for Video Object Segmentation. 693-696 - Zongxin Yang, Peike Li, Qianyu Feng, Yunchao Wei, Yi Yang:
Going Deeper Into Embedding Learning for Video Object Segmentation. 697-700 - Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang:
Towards Good Practices for Video Object Segmentation. 701-704 - Jonathon Luiten, Paul Voigtlaender, Bastian Leibe:
Exploring the Combination of PReMVOS, BoLTVOS and UnOVOST for the 2019 YouTube-VOS Challenge. 705-708 - Jonathon Luiten, Philip H. S. Torr, Bastian Leibe:
Video Instance Segmentation 2019: A Winning Approach for Combined Detection, Segmentation, Classification and Tracking. 709-712 - Qiang Wang, Yi He, Xiaoyun Yang, Zhao Yang, Philip H. S. Torr:
An Empirical Study of Detection-Based Video Instance Segmentation. 713-716 - Qianyu Feng, Zongxin Yang, Peike Li, Yunchao Wei, Yi Yang:
Dual Embedding Learning for Video Instance Segmentation. 717-720 - Minghui Dong, Jian Wang, Yuanyuan Huang, Dongdong Yu, Kai Su, Kaihui Zhou, Jie Shao, Shiping Wen, Changhu Wang:
Temporal Feature Augmented Network for Video Instance Segmentation. 721-724 - Xiaoyu Liu, Haibing Ren, Tingmeng Ye:
Spatio-Temporal Attention Network for Video Instance Segmentation. 725-727
SDL-CV 2019 Workshop
- Qiyu Liao, Dadong Wang, Hamish Holewa, Min Xu:
Squeezed Bilinear Pooling for Fine-Grained Visual Categorization. 728-732 - Wei Shen, Fei Li, Rujie Liu:
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks. 733-737 - Lei Zhao, Lei Huang:
Exploring Dynamic Routing As A Pooling Layer. 738-742 - Mara Graziani, Henning Müller, Vincent Andrearczyk:
Interpreting Intentionally Flawed Models with Linear Probes. 743-747 - Amal Rannen-Triki, Maxim Berman, Vladimir Kolmogorov, Matthew B. Blaschko:
Function Norms for Neural Networks. 748-752 - Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh:
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? 753-757 - Adar Elad, Doron Haviv, Yochai Blau, Tomer Michaeli:
Direct Validation of the Information Bottleneck Principle for Deep Nets. 758-762 - Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes:
Lautum Regularization for Semi-Supervised Transfer Learning. 763-767 - Zhihang Hu, Jason Tsong-Li Wang:
A Novel Adversarial Inference Framework for Video Prediction with Action Control. 768-772 - Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks. 773-777 - Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu:
UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss. 778-782 - Yury Gorbachev, Mikhail Fedorov, Iliya Slavutin, Artyom Tugarev, Marat Fatekhov, Yaroslav Tarkan:
OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference. 783-787 - Kang Min Yoo, Hyun Soo Jo, Hanbit Lee, Jeeseung Han, Sang-goo Lee:
Stochastic Relational Network. 788-792 - Matteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman:
On the Geometry of Rectifier Convolutional Neural Networks. 793-797 - Sambuddha Saha, Aashish Kumar, Pratyush Sahay, George Jose, Srinivas S. Kruthiventi, Harikrishna Muralidhara:
Attack Agnostic Statistical Method for Adversarial Detection. 798-802
CVRSUAD 2019 Workshop
- Danila Rukhovich, Daniel Mouritzen, Ralf Kaestner, Martin Rufli, Alexander Velizhev:
Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data. 803-812 - Lukas Hoyer, Patrick Kesper, Anna Khoreva, Volker Fischer:
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. 813-821 - Max Coenen, Franz Rottensteiner:
Probabilistic Vehicle Reconstruction Using a Multi-Task CNN. 822-831 - Karsten Behrendt, Ryan Soussan:
Unsupervised Labeled Lane Markers Using Maps. 832-839 - Karsten Behrendt:
Boxy Vehicle Detection in Large Images. 840-846 - Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek:
ShelfNet for Fast Semantic Segmentation. 847-856 - Xinshuo Weng, Kris Kitani:
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud. 857-866 - Liat Sless, Bat El Shlomo, Gilad Cohen, Shaul Oron:
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation. 867-875 - Jee-Young Sun, Seung-Wook Kim, Sang-Won Lee, Ye-Won Kim, Sung-Jea Ko:
Reverse and Boundary Attention Network for Road Segmentation. 876-885 - Minjie Hua, Yibing Nan, Shiguo Lian:
Small Obstacle Avoidance Based on RGB-D Semantic Segmentation. 886-894 - Hichem Abdellali, Robert Frohlich, Zoltan Kato:
Robust Absolute and Relative Pose Estimation of a Central Camera System from 2D-3D Line Correspondences. 895-904 - Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. 905-913 - Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. 914-923 - Bence Major, Daniel Fontijne, Amin Ansari, Ravi Teja Sukhavasi, Radhika Gowaiker, Michael Hamilton, Sean Lee, Slawomir K. Grzechnik, Sundar Subramanian:
Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors. 924-932 - Radu Sibechi, Olaf Booij, Nora Baka, Peter Bloem:
Exploiting Temporality for Semi-Supervised Video Segmentation. 933-941 - Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. 942-950 - Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian:
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. 951-960
RLQ 2019 Workshop
- Didik Purwanto, Rizard Renanda Adhi Pramono, Yie-Tarng Chen, Wen-Hsien Fang:
Extreme Low Resolution Action Recognition with Spatial-Temporal Multi-Head Self-Attention and Knowledge Distillation. 961-969 - Gan Sun, Yang Cong, Lichen Wang, Zhengming Ding, Yun Fu:
Online Multi-Task Clustering for Human Motion Segmentation. 970-979 - Zhunxuan Wang, Zipei Wang, Qiqi Li, Hakan Bilen:
Image Deconvolution with Deep Image and Kernel Priors. 980-989 - Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shaohua Li, Shiguo Lian:
Feature Aggregation Network for Video Face Recognition. 990-998 - Reza Pourreza, Amir Ghodrati, AmirHossein Habibian:
Recognizing Compressed Videos: Challenges and Promises. 999-1007 - Rohan Raju Dhanakshirur, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion Deblurring. 1008-1016 - Younkwan Lee, Juhyun Lee, Hoyeon Ahn, Moongu Jeon:
SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate Recognition. 1017-1026 - Sixue Gong, Yichun Shi, Anil K. Jain:
Low Quality Video Face Recognition: Multi-Mode Aggregation Recurrent Network (MARN). 1027-1035 - Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard:
Non-Discriminative Data or Weak Model? On the Relative Importance of Data and Model Resolution. 1036-1044 - Alfred Laugros, Alice Caplier, Matthieu Ospici:
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ? 1045-1054 - Can Qin, Lichen Wang, Yulun Zhang, Yun Fu:
Generatively Inferential Co-Training for Unsupervised Domain Adaptation. 1055-1064 - Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Unsupervised Deep Feature Transfer for Low Resolution Image Classification. 1065-1069 - Yu-Kai Huang, Tsung-Han Wu, Yueh-Cheng Liu, Winston H. Hsu:
Indoor Depth Completion with Boundary Consistency and Self-Attention. 1070-1078 - Xiangping Zhu, Xiatian Zhu, Minxian Li, Vittorio Murino, Shaogang Gong:
Intra-Camera Supervised Person Re-Identification: A New Benchmark. 1079-1087 - Zhaokang Chen, Didan Deng, Jimin Pi, Bertram E. Shi:
Unsupervised Outlier Detection in Appearance-Based Gaze Estimation. 1088-1097 - Thomhert Suprapto Siadari, Mikyong Han, Hyunjin Yoon:
GSR-MAR: Global Super-Resolution for Person Multi-Attribute Recognition. 1098-1103 - Diep Thi Ngoc Nguyen:
State-of-the-Art in Action: Unconstrained Text Detection. 1104-1111 - Saurabh Bodhe, Prathamesh Kapse, Amarjot Singh:
Real-Time Age-Invariant Face Recognition in Videos Using the ScatterNet Inception Hybrid Network (SIHN). 1112-1120 - Siva Chaitanya Mynepalli, Peiyun Hu, Deva Ramanan:
Recognizing Tiny Faces. 1121-1130
GAZE 2019 Workshop
- Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi:
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone. 1131-1139 - Erik Lindén, Jonas Sjöstrand, Alexandre Proutière:
Learning to Personalize in Appearance-Based Gaze Tracking. 1140-1148 - Junfeng He, Khoi Pham, Nachiappan Valliappan, Pingmei Xu, Chase Roberts, Dmitry Lagun, Vidhya Navalpakkam:
On-Device Few-Shot Personalization for Real-Time Gaze Estimation. 1149-1158 - Kévin Cortacero, Tobias Fischer, Yiannis Demiris:
RT-BENE: A Dataset and Baselines for Real-Time Blink Estimation in Natural Environments. 1159-1168 - Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation using Visual Saliency. 1169-1178
HBU 2019 Workshop
- Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons. 1179-1187 - Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen:
Weakly-Supervised Completion Moment Detection using Temporal Attention. 1188-1196 - Yazan Abu Farha, Juergen Gall:
Uncertainty-Aware Anticipation of Activities. 1197-1204 - Irene Amerini, Leonardo Galteri, Roberto Caldelli, Alberto Del Bimbo:
Deepfake Video Detection through Optical Flow Based CNN. 1205-1207 - Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg:
Dance Dance Generation: Motion Transfer for Internet Videos. 1208-1216 - Bin Yan, Mingtao Pei, Zhengang Nie:
Attributes Preserving Face De-Identification. 1217-1221 - Ling Mei, Jian-Huang Lai, Zeyu Chen, Xiaohua Xie:
Measuring Crowd Collectiveness via Global Motion Correlation. 1222-1231 - Zhaoxiang Liu, Zezhou Chen, Jinqiang Bai, Shaohua Li, Shiguo Lian:
Facial Pose Estimation by Deep Learning from Label Distributions. 1232-1240 - Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle M. Massart:
Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition. 1241-1250 - Minjie Hua, Yibing Nan, Shiguo Lian:
Falls Prediction Based on Body Keypoints and Seq2Seq Architecture. 1251-1259 - Muhammad Shahid, Cigdem Beyan, Vittorio Murino:
Voice Activity Detection by Upper Body Motion Analysis and Unsupervised Domain Adaptation. 1260-1269 - Nedko Savov, Minh Ngô, Sezer Karaoglu, Hamdi Dibeklioglu, Theo Gevers:
Pose and Expression Robust Age Estimation via 3D Face Reconstruction from a Single Image. 1270-1278 - Kumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy:
Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework. 1279-1281 - Marcos Baptista-Ríos, Roberto Javier López-Sastre, Fabian Caba Heilbron, Jan van Gemert, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón:
The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos. 1282-1284 - Hyeonseong Jeon, Youngoh Bang, Simon S. Woo:
FakeTalkerDetect: Effective and Practical Realistic Neural Talking Head Detection with a Highly Unbalanced Dataset. 1285-1287 - Ahmet Alp Kindiroglu, Ogulcan Özdemir, Lale Akarun:
Temporal Accumulative Features for Sign Language Recognition. 1288-1297
MDALC 2019 Workshop
- Matteo Bustreo, Jacopo Cavazza, Vittorio Murino:
Enhancing Visual Embeddings through Weakly Supervised Captioning for Zero-Shot Learning. 1298-1307 - Sai Kumar Dwivedi, Vikram Gupta, Rahul Mitra, Shuaib Ahmed, Arjun Jain:
ProtoGAN: Towards Few Shot Learning for Action Recognition. 1308-1316 - Bin Liu, Zhirong Wu, Han Hu, Stephen Lin:
Deep Metric Transfer for Label Propagation with Limited Annotated Data. 1317-1326 - Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic:
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. 1327-1336 - Martin de la Riva, Pascal Mettes:
Bayesian 3D ConvNets for Action Recognition from Few Examples. 1337-1343 - Safa Cicek, Stefano Soatto:
Input and Weight Space Smoothing for Semi-Supervised Learning. 1344-1353 - Ignasi Mas, Ramon Morros, Verónica Vilaplana:
Picking Groups Instead of Samples: A Close Look at Static Pool-Based Meta-Active Learning. 1354-1362 - Naoki Kato, Toshihiko Yamasaki, Kiyoharu Aizawa:
Zero-Shot Semantic Segmentation via Variational Mapping. 1363-1370 - Will Price, Dima Damen:
Retro-Actions: Learning 'Close' by Time-Reversing 'Open' Videos. 1371-1380 - Shudong Xie, Yiqun Li, Dongyun Lin, Tin Lay Nwe, Sheng Dong:
Meta Module Generation for Fast Few-Shot Incremental Learning. 1381-1390 - Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal:
Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval. 1391-1400 - Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi:
Weakly Supervised One Shot Segmentation. 1401-1406 - Lei Chen, Mengyao Zhai, Jiawei He, Greg Mori:
Object Grounding via Iterative Context Reasoning. 1407-1415 - Ryuji Imamura, Tatsuki Itasaka, Masahiro Okuda:
Zero-Shot Hyperspectral Image Denoising With Separable Image Prior. 1416-1420
EH 2019 Workshop
- Je Hyeong Hong, Young Min Kim, Koang-Chul Wi, Jinwook Kim:
PotSAC: A Robust Axis Estimator for Axially Symmetric Pot Fragments. 1421-1428 - Oleksii Sidorov, Jon Yngve Hardeberg:
Craquelure as a Graph: Application of Image Processing and Graph Neural Networks to the Description of Fracture Patterns. 1429-1436 - Ziqi Wang, Jiahui Li, Seyran Khademi, Jan van Gemert:
Attention-Aware Age-Agnostic Visual Place Recognition. 1437-1446 - Tianxiu Yu, Cong Lin, Shijie Zhang, Shaodi You, Xiaohong Ding, Jian Wu, Jiawan Zhang:
End-to-End Partial Convolutions Neural Networks for Dunhuang Grottoes Wall-Painting Restoration. 1447-1455
HVU 2019 Workshop
- Gurkirt Singh, Fabio Cuzzolin:
Recurrent Convolutions for Causal 3D CNNs. 1456-1465 - Ahsan Iqbal, Juergen Gall:
Level Selector Network for Optimizing Accuracy-Specificity Trade-Offs. 1466-1473 - Silvio Olivastri, Gurkirt Singh, Fabio Cuzzolin:
End-to-End Video Captioning. 1474-1482 - Tengda Han, Weidi Xie, Andrew Zisserman:
Video Representation Learning by Dense Predictive Coding. 1483-1492 - Achal Dave, Pavel Tokmakov, Deva Ramanan:
Towards Segmenting Anything That Moves. 1493-1502 - Mayoore Jaiswal, H. Peter Hofstee, Valerie Chen, Suvadip Paul, Rogério Feris, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah:
Video-Text Compliance: Activity Verification Based on Natural Language Instructions. 1503-1512 - Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal:
Interpretable Spatio-Temporal Attention for Video Action Recognition. 1513-1522 - Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth:
Markov Decision Process for Video Generation. 1523-1532
CoView 2019 Workshop
- Ahsan Iqbal, Alexander Richard, Juergen Gall:
Enhancing Temporal Action Localization with Transfer Learning from Action Recognition. 1533-1540 - Heeseung Kwon, Woohyun Shim, Minsu Cho:
Temporal U-Nets for Video Summarization with Scene and Action Recognition. 1541-1544 - Jungin Park, Jiyoung Lee, Sangryul Jeon, Kwanghoon Sohn:
Video Summarization by Learning Relationships between Action and Scene. 1545-1552 - Hongje Seong, Junhyuk Hyun, Euntai Kim:
Video Multitask Transformer Network. 1553-1561 - Yudong Jiang, Kaixu Cui, Bo Peng, Changliang Xu:
Comprehensive Video Understanding: Video Summarization with Content-Based Video Recommender Design. 1562-1569
CVPM 2019 Workshop
- Amogh Gudi, Marian Bittner, Roelof Lochmans, Jan van Gemert:
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability. 1570-1579 - Christian S. Pilz:
On the Vector Space in Photoplethysmography Imaging. 1580-1588 - Tal Hakim, Ilan Shimshoni:
A-MAL: Automatic Motion Assessment Learning from Properly Performed Motions in 3D Skeleton Videos. 1589-1598 - Alessandro Masullo, Tilo Burghardt, Dima Damen, Toby Perrett, Majid Mirmehdi:
Who Goes There? Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person Environments. 1599-1607 - Siyang Song, Enrique Sánchez-Lozano, Mani Kumar Tellamekala, Linlin Shen, Alan Johnston, Michel F. Valstar:
Dynamic Facial Models for Video-Based Dimensional Affect Estimation. 1608-1617 - Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig:
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. 1618-1627 - Zhipeng Bao, Shaodi You, Lin Gu, Zhenglu Yang:
Single-Image Facial Expression Recognition Using Deep 3D Re-Centralization. 1628-1636 - Thomas J. Smith, Michel F. Valstar, Don Sharkey, John A. Crowe:
Clinical Scene Segmentation with Tiny Datasets. 1637-1645 - Changchen Zhao, Peiyi Mei, Shoushuai Xu, Yongqiang Li, Yuanjing Feng:
Performance Evaluation of Visual Object Detection and Tracking Algorithms Used in Remote Photoplethysmography. 1646-1655 - Ilde Lorato, Sander Stuijk, Mohammed Meftah, Wim Verkruijsse, Gerard de Haan:
Camera-Based On-Line Short Cessation of Breathing Detection. 1656-1663 - Gasper Slapnicar, Erik Dovgan, Pia Cuk, Mitja Lustrek:
Contact-Free Monitoring of Physiological Parameters in People With Profound Intellectual and Multiple Disabilities. 1664-1672 - Hadas Shahar, Hagit Hel-Or:
Micro Expression Classification using Facial Color and Deep Learning Methods. 1673-1680 - Jia-Wei Lin, Ming-Hung Lu, Yuan-Hsiang Lin:
A Thermal Camera Based Continuous Body Temperature Measurement System. 1681-1687 - Mikhail Kopeliovich, Yuriy Mironenko, Mikhail Petrushan:
Architectural Tricks for Deep Learning in Remote Photoplethysmography. 1688-1696 - Alexander Woyczyk, Stefan Rasche, Sebastian Zaunseder:
Impact of Sympathetic Activation in Imaging Photoplethysmography. 1697-1705 - Ewa Magdalena Nowara, Daniel McDuff:
Combating the Impact of Video Compression on Non-Contact Vital Sign Measurement Using Supervised Learning. 1706-1712 - Yiyin Wang, Wenjin Wang, Mark van Gastel, Gerard de Haan:
Modeling on the Feasibility of Camera-Based Blood Glucose Measurement. 1713-1720 - Steven Lawrence Fernandes, Sunny Raj, Eddy Ortiz, Iustina Vintila, Margaret Salter, Gordana Urosevic, Sumit Kumar Jha:
Predicting Heart Rate Variations of Deepfake Videos using Neural ODE. 1721-1729
SGRL 2019 Workshop
- Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. 1730-1739 - Cong Wu, Xiao-Jun Wu, Josef Kittler:
Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition. 1740-1748 - Alexander Kolesnikov, Alina Kuznetsova, Christoph Lampert, Vittorio Ferrari:
Detecting Visual Relationships Using Box Attention. 1749-1753 - Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Koutras, Petros Maragos:
Attention-Translation-Relation Network for Scalable Scene Graph Generation. 1754-1764 - Daniel Dorda, Moin Nabi:
SynthRel0: Towards a Diagnostic Dataset for Relational Representation Learning. 1765-1771 - Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. 1772-1782 - Brigit Schroeder, Subarna Tripathi, Hanlin Tang:
Triplet-Aware Scene Graph Embeddings. 1783-1787 - Catherine Potts, Liping Yang, Diane Oyen, Brendt Wohlberg:
A Topological Graph-Based Representation for Denoising Low Quality Binary Images. 1788-1798
WIDER Workshop
- Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo, Zhangyang Wang:
Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image Matching. 1799-1804 - Jiaze Wang:
Part Matching with Multi-Level Attention for Person Re-Identification. 1805-1814 - Kai Niu, Yan Huang, Liang Wang:
Fusing Two Directions in Cross-Domain Adaption for Real Life Person Search by Language. 1815-1818 - Semih Günel, Helge Rhodin, Pascal Fua:
What Face and Body Shapes Can Tell Us About Height. 1819-1827 - Amarjot Singh, Aman Kumar, Anisha Jain:
Bayesian Gait-Based Gender Identification (BGGI) Network on Individuals Wearing Loosely Fitted Clothing. 1828-1835 - Jiankang Deng, Jia Guo, Stefanos Zafeiriou:
Single-Stage Joint Face Detection and Alignment. 1836-1839 - Abhilash Nandy:
A Densenet Based Robust Face Detection Framework. 1840-1847 - T. M. Feroz Ali, Subhasis Chaudhuri:
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-Identification. 1848-1857 - Jhih-Ciang Wu, Bing-Jhang Lin, Bing-Yuan Zeng, Li-Chen Fu, Chiou-Shann Fuh, Tyng-Luh Liu:
Cast Search via Two-Stream Label Propagation. 1858-1862
ViRaL 2019 Workshop
- Dong Liang, Lanfen Lin, Rui Wang, Jie Shao, Changhu Wang, Yen-Wei Chen:
Unsupervised Teacher-Student Model for Large-Scale Video Retrieval. 1863-1867 - Danny Francis, Phuong Anh Nguyen, Benoit Huet, Chong-Wah Ngo:
Fusion of Multimodal Embeddings for Ad-Hoc Video Search. 1868-1872 - Zhicheng Zhao, Guanyu Chen, Chong Chen, Xinyu Li, Xuanlu Xiang, Yanyun Zhao, Fei Su:
Instance-Based Video Search via Multi-Task Retrieval and Re-Ranking. 1873-1878
CLVL 2019 Workshop
- Bhavan Jasani, Rohit Girdhar, Deva Ramanan:
Are we Asking the Right Questions in MovieQA? 1879-1882 - Cecilia Mauceri, Martha Palmer, Christoffer Heckman:
SUN-Spot: An RGB-D Dataset With Spatial Referring Expressions. 1883-1886 - Hexiang Hu, Ishan Misra, Laurens van der Maaten:
Evaluating Text-to-Image Matching using Binary Image Selection (BISON). 1887-1890
Neural Architects 2019 Workshop
Regular Papers
- Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu:
EENA: Efficient Evolution of Neural Architecture. 1891-1899 - Yiwen Huang, Pinglai Ou, Rihui Wu, Ziyong Feng:
Sequentially Aggregated Convolutional Networks. 1900-1909 - Okan Köpüklü, Neslihan Kose, Ahmet Gunduz, Gerhard Rigoll:
Resource Efficient 3D Convolutional Neural Networks. 1910-1919 - Lingyu Zhu, Tinghuai Wang, Emre Aksu, Joni-Kristian Kamarainen:
Cross-Granularity Attention Network for Semantic Segmentation. 1920-1930 - Yosuke Shinya, Edgar Simo-Serra, Taiji Suzuki:
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum. 1931-1941 - Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Mi Zhang, Hui Xu:
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking. 1942-1950 - Joseph Bethge, Haojin Yang, Marvin Bornstein, Christoph Meinel:
BinaryDenseNet: Developing an Architecture for Binary Neural Networks. 1951-1960 - Ruizhe Zhao, Wayne Luk:
Efficient Structured Pruning and Architecture Searching for Group Convolution. 1961-1970 - Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond. 1971-1980 - Jaewoong Choi, Hyun Seo, Suii Im, Myungjoo Kang:
Attention Routing Between Capsules. 1981-1989 - Andrew Brown, Pascal Mettes, Marcel Worring:
4-Connected Shift Residual Networks. 1990-1997 - Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Paulo Lopez-Meyer, Omesh Tickoo:
Adaptive Convolutional Kernels. 1998-2005 - Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, José Rodrigo Camacho Pérez, Paulo Lopez-Meyer, Héctor A. Cordourier, Omesh Tickoo:
Adaptive Activation Functions Using Fractional Calculus. 2006-2013 - Albert E. Shaw, Daniel Hunter, Forrest Landola, Sammy Sidhu:
SqueezeNAS: Fast Neural Architecture Search for Faster Semantic Segmentation. 2014-2024
Short Papers
- Abdullah Rashwan, Agastya Kalra, Pascal Poupart:
Matrix Nets: A New Deep Architecture for Object Detection. 2025-2028 - Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Localizing Occluders with Compositional Convolutional Networks. 2029-2032 - Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li:
MSNet: Structural Wired Neural Architecture Search for Internet of Things. 2033-2036 - Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang:
HoloGAN: Unsupervised Learning of 3D Representations From Natural Images. 2037-2040 - Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. 2041-2044 - Surgan Jandial, Puneet Mangla, Sakshi Varshney, Vineeth Balasubramanian:
AdvGAN++: Harnessing Latent Layers for Adversary Generation. 2045-2048 - Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi:
Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN Training. 2049-2052 - Rohan Ghosh, Anupam K. Gupta, Mehul Motani:
Investigating Convolutional Neural Networks using Spatial Orderness. 2053-2056 - John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu:
Why Does Data-Driven Beat Theory-Driven Computer Vision? 2057-2060
3DRW 2019 Workshop
- Kristina Prokopetc, Romain Dupont:
Towards Dense 3D Reconstruction for Mixed Reality in Healthcare: Classical Multi-View Stereo vs Deep Learning. 2061-2069 - Max Mehltretter, Christian Heipke:
CNN-Based Cost Volume Analysis as Confidence Measure for Dense Matching. 2070-2079 - Lin Li, Salman H. Khan, Nick Barnes:
Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered Scene. 2080-2088 - Denys Rozumnyi, Ian Cherabier, Marc Pollefeys, Martin R. Oswald:
Learned Semantic Multi-Sensor Depth Map Fusion. 2089-2099 - Hayato Onizuka, Diego Thomas, Hideaki Uchiyama, Rin-Ichiro Taniguchi:
Landmark-Guided Deformation Transfer of Template Facial Expressions for Automatic Generation of Avatar Blendshapes. 2100-2108 - Michaël Ramamonjisoa, Vincent Lepetit:
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation. 2109-2118 - Hichem Abdellali, Robert Frohlich, Zoltan Kato:
A Direct Least-Squares Solution to Multi-View Absolute and Relative Pose from 2D-3D Perspective Line Pairs. 2119-2128 - Theerasit Issaranon, Chuhang Zou, David A. Forsyth:
Counterfactual Depth from a Single RGB Image. 2129-2138 - Kai Zhang, Noah Snavely, Jin Sun:
Leveraging Vision Reconstruction Pipelines for Satellite Imagery. 2139-2148 - Takeshi Masuda:
3D Shape Reconstruction of Plant Roots in a Cylindrical Tank From Multiview Images. 2149-2157 - Akin Caliskan, Armin Mustafa, Evren Imre, Adrian Hilton:
Learning Dense Wide Baseline Stereo Matching for People. 2158-2167 - Mihai Bujanca, Mikel Luján, Barry Lennox:
FullFusion: A Framework for Semantic Reconstruction of Dynamic Scenes. 2168-2177 - Abbhinav Venkat, Chaitanya Patel, Yudhik Agrawal, Avinash Sharma:
HumanMeshNet: Polygonal Mesh Recovery of Humans. 2178-2187 - Roger Marí, Carlo de Franchis, Enric Meinhardt-Llopis, Gabriele Facciolo:
To Bundle Adjust or Not: A Comparison of Relative Geolocation Correction Strategies for Satellite Multi-View Stereo. 2188-2196 - Enric Meinhardt-Llopis, Marie d'Autume:
3D Texturing From Multi-Date Satellite Images. 2197-2205
VOT 2019 Workshop
- Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. 2206-2241 - Amanda Berg, Joakim Johnander, Flavie Durand de Gevigney, Jörgen Ahlberg, Michael Felsberg:
Semi-Automatic Annotation of Objects in Visual-Thermal Video. 2242-2251 - Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. 2252-2261 - Chenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, Jin Tang:
Multi-Adapter RGBT Tracking. 2262-2270 - Hakan Cevikalp, Hasan Saribas, Burak Benligiray, Sinem Kahvecioglu:
Visual Object Tracking by Using Ranking Loss. 2271-2280 - Bao Xin Chen, John K. Tsotsos:
Fast Visual Object Tracking using Ellipse Fitting for Rotated Bounding Boxes. 2281-2289 - Matteo Dunnhofer, Niki Martinel, Gian Luca Foresti, Christian Micheloni:
Visual Tracking by Means of Deep Reinforcement Learning and an Expert Demonstrator. 2290-2299 - Jan Kotera, Denys Rozumnyi, Filip Sroubek, Jiri Matas:
Intra-Frame Object Tracking by Deblatting. 2300-2309
ADW 2019 Workshop
- Thibault Buhet, Émilie Wirbel, Xavier Perrotton:
Conditional Vehicle Trajectories Prediction in CARLA Urban Environment. 2310-2319 - Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu:
Range Adaptation for 3D Object Detection in LiDAR. 2320-2328 - Stefano Alletto, Casey Carlin, Luca Rigazio, Yasunori Ishii, Sotaro Tsukizawa:
Adherent Raindrop Removal with Self-Supervised Attention Maps and Spatio-Temporal Generative Adversarial Networks. 2329-2338 - Ashok Dahal, Jakir Hossen, Sumanth Chennupati, Ganesh Sistu, Kazumi Malhan, Muhammad Amasha, Senthil Kumar Yogamani:
DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera. 2339-2346 - Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell:
Spatio-Temporal Action Graph Networks. 2347-2356 - Hee Min Choi, Hyoa Kang, Yoonsuk Hyun:
Multi-View Reprojection Architecture for Orientation Estimation. 2357-2366 - Antonín Vobecký, Michal Uricár, David Hurych, Radoslav Skoviera:
Advanced Pedestrian Dataset Augmentation for Autonomous Driving. 2367-2372 - Bruno Arsenali, Prashanth Viswanath, Jelena Novosel:
RotInvMTL: Rotation Invariant MultiNet on Fisheye Images for Autonomous Driving Applications. 2373-2382 - Zhenyi Liu, Trisha Lian, Joyce E. Farrell, Brian A. Wandell:
Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network. 2383-2392 - Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Kumar Yogamani:
FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving. 2393-2402 - Hermann Blum, Paul-Edouard Sarlin, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
Fishyscapes: A Benchmark for Safe Semantic Segmentation in Autonomous Driving. 2403-2412 - Sehyun Chun, Nima Hamidi Ghalehjegh, Joseph B. Choi, Chris Schwarz, John G. Gaspar, Daniel V. McGehee, Stephen S. Baek:
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks. 2413-2421 - Nachiket Deo, Nasha Meoli, Akshay Rangesh, Mohan M. Trivedi:
On Control Transitions in Autonomous Driving: A Framework and Analysis for Characterizing Scene Complexity. 2422-2426 - Yichuan Tang:
Towards Learning Multi-Agent Negotiations via Self-Play. 2427-2435 - Max Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu:
DBUS: Human Driving Behavior Understanding System. 2436-2444
LPCV 2019 Workshop
- Donghyeon Han, Hoi-Jun Yoo:
Direct Feedback Alignment Based Convolutional Neural Network Training for Low-Power Online Learning Processor. 2445-2452 - Feiyang Zhu, Qijun Zhao:
Efficient Single Image Super-Resolution via Hybrid Residual Feature Learning with Compact Back-Projection Network. 2453-2460 - Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng:
A System-Level Solution for Low-Power Object Detection. 2461-2468 - Gaétan Bahl, Lionel Daniel, Matthieu Moretti, Florent Lafarge:
Low-Power Neural Networks for Semantic Segmentation of Satellite Images. 2469-2476 - Chien-Yao Wang, Hong-Yuan Mark Liao, Ping-Yang Chen, Jun-Wei Hsieh:
Enriching Variety of Layer-Wise Learning Information by Gradient Combination. 2477-2484 - George Jose, Aashish Kumar, Srinivas Kruthiventi S. S, Sambuddha Saha, Harikrishna Muralidhara:
Real-Time Object Detection On Low Power Embedded Platforms. 2485-2492 - Maxim Zemlyanikin, Alexander Smorkalov, Tatiana Khanova, Anna Petrovicheva, Grigory Serebryakov:
512KiB RAM Is Enough! Live Camera Face Recognition DNN on MCU. 2493-2500 - Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets:
Automated Multi-Stage Compression of Neural Networks. 2501-2508 - Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han:
On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning. 2509-2513
ACVR 2019 Workshop
- Akshay Rangesh, Mohan M. Trivedi:
Forced Spatial Attention for Driver Foot Activity Classification. 2514-2521 - Mohammed Kutbi, Yizhe Chang, Bo Sun, Philippos Mordohai:
Learning to Navigate Robotic Wheelchairs from Demonstration: Is Training in Simulation Viable? 2522-2531 - Gregor Koporec, Janez Pers:
Deep Learning Performance in the Presence of Significant Occlusions - An Intelligent Household Refrigerator Case. 2532-2540 - Chunbiao Zhu, Wei Yan, Shan Liu, Thomas H. Li, Ge Li:
Salient Contour-Aware Based Twice Learning Strategy for Saliency Detection. 2541-2548 - Yimin Lin, Kai Wang, Wanxin Yi, Shiguo Lian:
Deep Learning Based Wearable Assistive System for Visually Impaired People. 2549-2557 - Ruxandra Tapu, Bogdan Mocanu, Titus B. Zaharia:
Dynamic Subtitles: A Multimodal Video Accessibility Enhancement Dedicated to Deaf and Hearing Impaired Users. 2558-2566 - Matteo Lisotto, Pasquale Coscia, Lamberto Ballan:
Social and Scene-Aware Trajectory Prediction in Crowded Spaces. 2567-2574 - Zezhou Chen, Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shiguo Lian, Fuyuan Shi, Kai Wang:
A Realistic Face-to-Face Conversation System Based on Deep Neural Networks. 2575-2583 - Anh Nguyen, Quang D. Tran, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
Object Captioning and Retrieval with Natural Language. 2584-2592 - Samuel Yu, Heon Lee, Jung Hoon Kim:
Street Crossing Aid Using Light-Weight CNNs for the Visually Impaired. 2593-2601 - Yiming Wang, Marco Carletti, Francesco Setti, Marco Cristani, Alessio Del Bue:
Active 3D Classification of Multiple Objects in Cluttered Scenes. 2602-2610 - Dario Cazzato, Marco Leo, Pierluigi Carcagnì, Cosimo Distante, Javier Lorenzo-Navarro, Holger Voos:
Video Indexing Using Face Appearance and Shot Transition Detection. 2611-2618 - Yiwen Gu, Shreya Pandit, Elham Saraee, Timothy J. Nordahl, Terry Ellis, Margrit Betke:
Home-Based Physical Therapy with an Interactive Computer Vision System. 2619-2628 - Maddalena Sebastiani, Nicola Garau, Francesco G. B. De Natale, Nicola Conci:
Joint Trajectory and Fatigue Analysis in Wheelchair Users. 2629-2637
LFR 2019 Workshop
- Jiankang Deng, Jia Guo, Debing Zhang, Yafeng Deng, Xiangju Lu, Song Shi:
Lightweight Face Recognition Challenge. 2638-2646 - Mengjia Yan, Mengao Zhao, Zining Xu, Qian Zhang, Guoli Wang, Zhizhong Su:
VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition. 2647-2654 - Mengjiao Wang, Rujie Liu, Hajime Nada, Narishige Abe, Hidetsugu Uchida, Tomoaki Matsunami:
Improved Knowledge Distillation for Training Fast Low Resolution Face Recognition Model. 2655-2661 - Haiming Yu, Yin Fan, Keyu Chen, He Yan, Xiangju Lu, Junhui Liu, Danming Xie:
Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition. 2662-2669 - Baoyun Peng, Xiao Jin, Yichao Wu, Dongsheng Li:
Geometry Guided Feature Aggregation in Video Face Recognition. 2670-2677 - Xianyang Li, Feng Wang, Qinghao Hu, Cong Leng:
AirFace: Lightweight and Efficient Model for Face Recognition. 2678-2682 - Yidong Ma:
Effective Methods for Lightweight Image-Based and Video-Based Face Recognition. 2683-2688 - Yaqi Lyu, Jing Jiang, Kun Zhang, Yilun Hua, Miao Cheng:
Factorizing and Reconstituting Large-Kernel MBConv for Lightweight Face Recognition. 2689-2697 - Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan:
Towards Flops-Constrained Face Recognition. 2698-2702 - Zhenhua Chai, Shengxi Li, Huanhuan Meng, Shenqi Lai, Xiaoming Wei, Jianwei Zhang:
A Progressive Learning Framework for Unconstrained Face Recognition. 2703-2710 - Yu Cheng, Yanfeng Li, Qiankun Liu, Yuan Yao, Venkata Sai Vijay Kumar Pedapudi, Xiaotian Fan, Chi Su, Shengmei Shen:
A Graph Based Unsupervised Feature Aggregation for Face Recognition. 2711-2720 - Yoanna Martínez-Díaz, Luis S. Luevano, Heydi Mendez Vazquez, Miguel Nicolás-Díaz, Leonardo Chang, Miguel González-Mendoza:
ShuffleFaceNet: A Lightweight Face Architecture for Efficient and Highly-Accurate Face Recognition. 2721-2728
MCMV 2019 Workshop
- Xinyi Wu, Zhenyao Wu, Yujun Zhang, Lili Ju, Song Wang:
Multi-Video Temporal Synchronization by Matching Pose Features of Shared Moving Subjects. 2729-2738 - Ye Lyu, George Vosselman, Guisong Xia, Michael Ying Yang:
LIP: Learning Instance Propagation for Video Object Segmentation. 2739-2748 - Pedro E. López-de-Teruel, Manuel Gil Pérez, Félix J. García Clemente, Alberto Ruiz García, Gregorio Martínez Pérez:
5G-CAGE: A Context and Situational Awareness System for City Public Safety with Video Processing at a Virtualized Ecosystem. 2749-2757
R6D 2019 Workshop
- Kartik Gupta, Lars Petersson, Richard Hartley:
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. 2758-2766 - Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. 2767-2776 - Yuanwei Wu, Tim K. Marks, Anoop Cherian, Siheng Chen, Chen Feng, Guanghui Wang, Alan Sullivan:
Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation. 2777-2786 - Stefan Hinterstoisser, Olivier Pauly, Hauke Heibel, Martina Marek, Martin Bokeloh:
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Detection. 2787-2796 - Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis:
A Refined 3D Pose Dataset for Fine-Grained Object Categories. 2797-2806 - Giorgia Pitteri, Slobodan Ilic, Vincent Lepetit:
CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining. 2807-2815 - Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin:
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. 2816-2824
HANDS 2019 Workshop
- Xiao Sun, Chuankang Li, Stephen Lin:
Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose. 2825-2835 - Okan Köpüklü, Yao Rong, Gerhard Rigoll:
Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs. 2836-2845 - Yikang Li, Christopher D. Twigg, Yuting Ye, Lingling Tao, Xiaogang Wang:
Disentangling Pose from Appearance in Monochrome Hand Images. 2846-2855 - Tianqiang Zhu, Yi Sun, Xiaohong Ma, Xiangbo Lin:
Hand Pose Ensemble Learning Based on Grouping Features of Hand Point Sets. 2856-2865 - Shanxin Yuan, Björn Stenger, Tae-Kyun Kim:
3D Hand Pose Estimation from RGB Using Privileged Learning with Depth Data. 2866-2873 - Joanna Materzynska, Guillaume Berger, Ingo Bax, Roland Memisevic:
The Jester Dataset: A Large-Scale Video Dataset of Human Gestures. 2874-2882
CEFRL 2019 Workshop
- Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ziyi Shen:
Embarrassingly Simple Binary Representation Learning. 2883-2892 - Xin Yu, Yurun Tian, Fatih Porikli, Richard Hartley, Hongdong Li, Huub Heijnen, Vassileios Balntas:
Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking Loss. 2893-2902 - Byung Cheol Song, Dae Ha Kim, Seung Hyun Lee:
Metric-Based Regularization and Temporal Ensemble for Multi-Task Learning using Heterogeneous Unsupervised Tasks. 2903-2912 - Tsun-Yi Yang, Duy-Kien Nguyen, Huub Heijnen, Vassileios Balntas:
DAME WEB: DynAmic MEan with Whitening Ensemble Binarization for Landmark Retrieval without Human Annotation. 2913-2922 - Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler:
More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation. 2923-2932 - Mohammed Al-Rawi, Ernest Valveny:
Compact and Efficient Multitask Learning in Vision, Language and Speech. 2933-2942 - Hesen Chen, Ming Lin, Xiuyu Sun, Qian Qi, Hao Li, Rong Jin:
MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning. 2943-2952 - Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Jianyu Miao, Qiufeng Wang:
Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning. 2953-2962 - Weicong Chen, Lu Tian, Liwen Fan, Yu Wang:
Augmentation Invariant Training. 2963-2971 - Shangpeng Yan, Xiaoyun Zhang, Li Chen, Wenbo Bao, Zhiyong Gao:
Large Scale Near-Duplicate Image Retrieval via Patch Embedding. 2972-2979 - Susan Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez:
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. 2980-2988 - Shan Gao, Guangqian Guo, C. L. Philip Chen:
Event-Based Incremental Broad Learning System for Object Classification. 2989-2998 - Wenbo Zheng, Chao Gou, Lan Yan, Fei-Yue Wang:
Differential-Evolution-Based Generative Adversarial Networks for Edge Detection. 2999-3008 - Yoni Choukroun, Eli Kravchik, Fan Yang, Pavel Kisilev:
Low-bit Quantization of Neural Networks for Efficient Inference. 3009-3018 - Olivia Wiles, A. Sophia Koepke, Andrew Zisserman:
Self-Supervised Learning of Class Embeddings from Video. 3019-3027 - Hichem Sahbi:
Deep Total Variation Support Vector Networks. 3028-3038 - Marcus A. Angeloni, Rodrigo de Freitas Pereira, Hélio Pedrini:
Age Estimation From Facial Parts Using Compact Multi-Stream Convolutional Neural Networks. 3039-3045 - Dharma Teja Vooturi, Girish Varma, Kishore Kothapalli:
Dynamic Block Sparse Reparameterization of Convolutional Neural Networks. 3046-3053 - Jiehao Xu, Chengyu Guo, Qingjie Liu, Jie Qin, Yunhong Wang, Li Liu:
DHA: Supervised Deep Learning to Hash with an Adaptive Loss Function. 3054-3062 - Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim:
Sparse Generative Adversarial Network. 3063-3071 - Sergey Prokudin, Christoph Lassner, Javier Romero:
Efficient Learning on Point Clouds with Basis Point Sets. 3072-3081
3DFAW 2019 Workshop
- Rohith Krishnan Pillai, László Attila Jeni, Huiyuan Yang, Zheng Zhang, Lijun Yin, Jeffrey F. Cohn:
The 2nd 3D Face Alignment in the Wild Challenge (3DFAW-Video): Dense Reconstruction From Video. 3082-3089 - Xiaohu Shao, Jiangjing Lyu, Junliang Xing, Lijun Zhang, Xiaobo Li, Xiangdong Zhou, Yu Shi:
3D Face Shape Regression From 2D Videos with Multi-Reconstruction and Mesh Retrieval. 3090-3095 - Eduard Ramon, Janna Escur, Xavier Giró-i-Nieto:
Multi-View 3D Face Reconstruction in the Wild Using Siamese Networks. 3096-3100
CVFAD 2019 Workshop
- Ming Chen, Yingjie Qin, Lizhe Qi, Yunquan Sun:
Improving Fashion Landmark Detection by Dual Attention Feature Enhancement. 3101-3104 - Shizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo:
UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network. 3105-3108 - Furkan Kinli, Baris Özcan, Furkan Kiraç:
Fashion Image Retrieval with Capsule Networks. 3109-3112 - Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Hartwig Adam, Matthew R. Scott, Serge J. Belongie:
The iMaterialist Fashion Attribute Dataset. 3113-3116 - Maximilian Müller-Eberstein, Nanne van Noord:
Translating Visual Art Into Music. 3117-3120 - Kenan Emir Ak, Joo Hwee Lim, Jo Yew Tham, Ashraf A. Kassim:
Semantically Consistent Hierarchical Text to Fashion Image Synthesis with an Enhanced-Attentional Generative Adversarial Network. 3121-3124 - Beatriz Quintino Ferreira, João Paulo Costeira, Ricardo Gamelas Sousa, Liang-Yan Gui, João Pedro Gomes:
Pose Guided Attention for Multi-Label Fashion Image Classification. 3125-3128 - Hyug Jae Lee, Rokkyu Lee, Minseok Kang, Myounghoon Cho, Gunhan Park:
LA-VITON: A Network for Looking-Attractive Virtual Try-On. 3129-3132 - John Martinsson, Olof Mogren:
Semantic Segmentation of Fashion Images Using Feature Pyramid Networks. 3133-3136 - Sabine Wieluch, Friedhelm Schwenker:
Dropout Induced Noise for Co-Creative GAN Systems. 3137-3140 - Dongjoe Shin, Yu Chen:
Deep Garment Image Matting for a Virtual Try-on System. 3141-3144 - Fabian Caba Heilbron, Bojan Pepik, Zohar Barzelay, Michael Donoser:
Clothing Recognition in the Wild using the Amazon Catalog. 3145-3148 - Kotaro Kikuchi, Kota Yamaguchi, Edgar Simo-Serra, Tetsunori Kobayashi:
Regularized Adversarial Training for Single-Shot Virtual Try-On. 3149-3152 - Sumin Lee, Sungchan Oh, Chanho Jung, Changick Kim:
A Global-Local Embedding Module for Fashion Landmark Detection. 3153-3156 - Harrish Thasarathan, Mehran Ebrahimi:
Artist-Guided Semiautomatic Animation Colorization. 3157-3160 - Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann:
Generating High-Resolution Fashion Model Images Wearing Custom Outfits. 3161-3164 - Sarah Ibrahimi, Nanne van Noord, Zeno J. M. H. Geradts, Marcel Worring:
Deep Metric Learning for Cross-Domain Fashion Instance Retrieval. 3165-3168 - Marie Korneliusson, John Martinsson, Olof Mogren:
Generative Modelling of Semantic Segmentation Data in the Fashion Domain. 3169-3172 - Mattie Tesfaldet, Xavier Snelgrove, David Vázquez:
Fourier-CPPNs for Image Synthesis. 3173-3176 - Xiaonan Zhao, Huan Qi, Rui Luo, Larry Davis:
A Weakly Supervised Adaptive Triplet Loss for Deep Metric Learning. 3177-3180 - Albert Pumarola, Vedanuj Goswami, Francisco Vicente, Fernando De la Torre, Francesc Moreno-Noguer:
Unsupervised Image-to-Video Clothing Transfer. 3181-3184 - Aven Le Zhou:
Walking Through Shanshui: Generating Chinese Shanshui Paintings via Real-Time Tracking of Human Position. 3185-3188 - Lironne Kurzman, David Vázquez, Issam H. Laradji:
Class-Based Styling: Real-Time Localized Style Transfer with Semantic Segmentation. 3189-3192 - Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy:
Powering Virtual Try-On via Auxiliary Human Segmentation Learning. 3193-3196 - Hyunsoo Cho, Chaemin Ahn, Kang Min Yoo, Jinseok Seol, Sang-goo Lee:
Leveraging Class Hierarchy in Fashion Classification. 3197-3200 - Alexey Sidnev, Alexey Trushkov, Maxim Kazakov, Ivan Korolev, Vladislav Sorokin:
DeepMark: One-Shot Clothing Detection. 3201-3204
TASK-CV 2019 Workshop
- Umberto Michieli, Pietro Zanuttigh:
Incremental Learning Techniques for Semantic Segmentation. 3205-3212 - Rongchang Xie, Fei Yu, Jiachao Wang, Yizhou Wang, Li Zhang:
Multi-Level Domain Adaptive Learning for Cross-Domain Detection. 3213-3219 - Milan Sulc, Jiri Matas:
Improving CNN Classifiers by Estimating Test-Time Priors. 3220-3226 - Fabio Maria Carlucci, Paolo Russo, Tatiana Tommasi, Barbara Caputo:
Hallucinating Agnostic Images to Generalize Across Domains. 3227-3234 - Khaled Saleh, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data. 3235-3242 - Ziwei Deng, Quan Kong, Tomokazu Murakami:
Towards Efficient Instance Segmentation with Hierarchical Distillation. 3243-3249 - Xin Liu, Seyran Khademi, Jan C. van Gemert:
Cross Domain Image Matching in Presence of Outliers. 3250-3256 - Jinyong Hou, Xuejie Ding, Jeremiah D. Deng, Stephen Cranefield:
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks. 3257-3264
AIM 2019 Workshop
- Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi:
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction. 3265-3274 - Kamyar Nazeri, Harrish Thasarathan, Mehran Ebrahimi:
Edge-Informed Single Image Super-Resolution. 3275-3284 - Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte:
SMIT: Stochastic Multi-Label Image-to-Image Translation. 3285-3294 - Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh:
SteReFo: Efficient Image Refocusing with Stereo Vision. 3295-3304 - Fengdi Che, Xiru Zhu, Tianzi Yang, Tzu-Yang Yu:
3SGAN: 3D Shape Embedded Generative Adversarial Networks. 3305-3314 - Paramanand Chandramouli, Kanchana Vaishnavi Gandikota:
Blind Single Image Reflection Suppression for Face Images using Deep Generative Priors. 3315-3323 - Adam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki:
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation. 3324-3332 - Naila Murray:
PFAGAN: An Aesthetics-Conditional GAN for Generating Photographic Fine Art. 3333-3341 - Mohammed Al-Rawi, Dena Bazazian, Ernest Valveny:
Can Generative Adversarial Networks Teach Themselves Text Segmentation? 3342-3350 - Thomas W. Mitchel, Christian Wülker, Jin Seob Kim, Sipu Ruan, Gregory S. Chirikjian:
Quotienting Impertinent Camera Kinematics for 3D Video Stabilization. 3351-3360 - Kumar Tanmay, Ayush Kumar:
Augmented Reality Based Recommendations Based on Perceptual Shape Style Compatibility with Objects in the Viewpoint and Color Compatibility with the Background. 3361-3367 - Samarth Shukla, Luc Van Gool, Radu Timofte:
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation. 3368-3377 - Dongliang Xiong, Kai Huang, Siang Chen, Bowen Li, Haitian Jiang, Wenyuan Xu:
NoUCSR: Efficient Super-Resolution Network without Upsampling Convolution. 3378-3387 - Seungjun Nah, Heewon Kim, Bohyung Han, Ning Xu, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Wang Shen, Wenbo Bao, Guangtao Zhai, Sanghyun Son, Li Chen, Zhiyong Gao, Guannan Chen, Yunhua Lu, Ran Duan, Tong Liu, Lijie Zhang, Woon-Sung Park, Munchurl Kim, George Pisha, Radu Timofte, Eyal Naor, Lior Aloni, Kyoung Mu Lee, Li Siyao, Ze Pan, Xiangyu Xu, Wenxiu Sun, Myungsub Choi:
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results. 3388-3398 - Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu:
MGBPv2: Scaling Up Multi-Grid Back-Projection Networks. 3399-3407 - Andreas Lugmayr, Martin Danelljan, Radu Timofte:
Unsupervised Learning for Real-World Super-Resolution. 3408-3416 - Kuldeep Purohit, Maitreya Suin, Praveen Kandula, Rajagopalan Ambasamudram:
Depth-Guided Dense Dynamic Filtering Network for Bokeh Effect Rendering. 3417-3426 - Siyao Li, Xiangyu Xu, Ze Pan, Wenxiu Sun:
Quadratic Video Interpolation for VTSR Challenge. 3427-3431 - Tangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li:
Adaptive Densely Connected Single Image Super-Resolution. 3432-3440 - Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang:
HighEr-Resolution Network for Image Demosaicing and Enhancing. 3441-3448 - Yuzhi Zhao, Chang Zhou, Wing Yin Yu, Lai-Man Po, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong:
Saliency Map-Aided Generative Adversarial Network for RAW to RGB Mapping. 3449-3457 - Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao:
Un-Paired Real World Super-Resolution with Degradation Consistency. 3458-3466 - Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai:
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. 3467-3475 - Dario Fuoli, Shuhang Gu, Radu Timofte:
Efficient Video Super-Resolution through Recurrent Latent Space Propagation. 3476-3485 - Xi Cheng, Zhenyong Fu, Jian Yang:
Multi-Scale Dynamic Feature Encoding Network for Image Demoiréing. 3486-3493 - Bumjun Park, Songhyun Yu, Jechang Jeong:
Robust Temporal Super-Resolution for Dynamic Motion Videos. 3494-3502 - Songhyun Yu, Bumjun Park, Jechang Jeong:
PoSNet: 4x Video Frame Interpolation Using Position-Specific Flow. 3503-3511 - Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte:
DIV8K: DIVerse 8K Resolution Image Dataset. 3512-3516 - Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan:
Image Super-Resolution via Attention Based Back Projection Networks. 3517-3525 - Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis:
AIM 2019 Challenge on Image Demoireing: Dataset and Study. 3526-3533 - Shanxin Yuan, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Radu Timofte, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng:
AIM 2019 Challenge on Image Demoireing: Methods and Results. 3534-3545 - Berk Kaya, Yigit Baran Can, Radu Timofte:
Towards Spectral Estimation from a Single RGB Image in the Wild. 3546-3555 - Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen:
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. 3556-3564 - Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. 3565-3574 - Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. 3575-3583 - Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei:
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. 3584-3590 - Andrey Ignatov, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Zhiwei Xiong, Jie Huang, Guanting Dong, Mingde Yao, Dong Liu, Wenjin Yang, Ming Hong, Wenying Lin, Jagruti Patel, Yanyun Qu, Jae-Seok Choi, Woonsung Park, Munchurl Kim, Rui Liu, Xiangyu Mao, Chengxi Yang, Qiong Yan, Wenxiu Sun, Junkai Fang, Radu Timofte, Meimei Shang, Fei Gao, Sujoy Ghosh, Prasen Kumar Sharma, Arijit Sur, Bolun Zheng, Xin Ye, Li Huang, Xiang Tian, Saikat Dutta, Kuldeep Purohit:
AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results. 3591-3598 - Manuel Fritsche, Shuhang Gu, Radu Timofte:
Frequency Separation for Real-World Super-Resolution. 3599-3608 - Sohyeong Kim, Guanju Li, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Shuhang Gu, Radu Timofte:
The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping. 3609-3616 - Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool:
AI Benchmark: All About Deep Learning on Smartphones in 2019. 3617-3635 - Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko:
W-Net: Two-Stage U-Net With Misaligned Data for Raw-to-RGB Mapping. 3636-3642 - Chih-Chung Hsu, Chia-Hsiang Lin:
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. 3643-3650
OpenEDS 2019 Workshop
- Henry K. Griffith, Dmytro Katrychuk, Oleg Komogortsev:
Assessment of Shift-Invariant CNN Gaze Mappings for PS-OG Eye Movement Sensors. 3651-3659 - Sonia Porta, Benoît Bossavit, Rafael Cabeza, Andoni Larumbe-Bergera, Gonzalo Garde, Arantxa Villanueva:
U2Eyes: A Binocular Dataset for Eye Tracking and Gaze Estimation. 3660-3664 - Fadi Boutros, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Eye-MMS: Miniature Multi-Scale Segmentation Network of Key Eye-Regions in Embedded Applications. 3665-3670 - Jonathan Perry, Amanda S. Fernandez:
MinENet: A Dilated CNN for Semantic Segmentation of Eye Features. 3671-3676 - Naser Damer, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper:
D-ID-Net: Two-Stage Domain and Identity Learning for Identity-Preserving Image Generation From Semantic Segmentation. 3677-3682 - Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Vijay Badrinarayanan, Andrew Rabinovich:
EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze Estimation. 3683-3687 - Priya Kansal, Sabarinathan Devanathan:
EyeNet: Attention Based Convolutional Encoder-Decoder Network for Eye Region Segmentation. 3688-3693 - Van Thong Huynh, Soo-Hyung Kim, Gueesang Lee, Hyung-Jeong Yang:
Eye Semantic Segmentation with A Lightweight Model. 3694-3697 - Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz:
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. 3698-3702
MMVAMTC 2019 Workshop
- Yoonjae Cho, Dohyeong Kim, Edwin Truman, Jean-Charles Bazin:
FaceSyncNet: A Deep Learning-Based Approach for Non-Linear Synchronization of Facial Performance Videos. 3703-3707 - Pankaj Joshi, Chitwan Saharia, Vishwajeet Singh, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi:
A Tale of Two Modalities for Video Captioning. 3708-3712 - Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein:
Learning to Detect and Retrieve Objects From Unlabeled Videos. 3713-3717 - Joseph Roth, Zhonghua Xi, Caroline Pantofaru, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid:
Supplementary Material: AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection. 3718-3722 - Jonathan Munro, Dima Damen:
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition. 3723-3726 - Hansol Lee, Gyemin Lee:
Summarizing Long-Length Videos with GAN-Enhanced Audio/Visual Features. 3727-3731 - Jinsoo Choi, In So Kweon:
DIFRINT: Deep Iterative Frame Interpolation for Full-Frame Video Stabilization. 3732-3736 - Xuan-Bac Nguyen, Gueesang Lee, Soo-Hyung Kim, Hyung-Jeong Yang:
Audio-Video Based Emotion Recognition Using Minimum Cost Flow Algorithm. 3737-3741 - Carlos Roig, Manuel Sarmiento, David Varas, Issey Masuda, Juan Carlos Riveiro, Elisenda Bou-Balust:
Multi-Modal Pyramid Feature Combination for Human Action Recognition. 3742-3746
DL4VSLAM 2019 Workshop
- Masaya Kaneko, Ken Sakurada, Kiyoharu Aizawa:
TriDepth: Triangular Patch-Based Deep Depth Prediction. 3747-3750 - Chung-yeon Lee, Hyundo Lee, Injune Hwang, Byoung-Tak Zhang:
Spatial Perception by Object-Aware Visual Scene Representation. 3751-3758 - Matthias Schörghuber, Daniel Steininger, Yohann Cabon, Martin Humenberger, Margrit Gelautz:
SLAMANTIC - Leveraging Semantics to Improve VSLAM in Dynamic Environments. 3759-3768 - Ming Cai, Huangying Zhan, Chamara Saroj Weerasekera, Kejie Li, Ian Reid:
Camera Relocalization by Exploiting Multi-View Constraints for Scene Coordinates Regression. 3769-3777 - Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni:
Adversarial Networks for Camera Pose Regression and Refinement. 3778-3787 - Soroush Seifi, Tinne Tuytelaars:
How to Improve CNN-Based 6-DoF Camera Pose Estimation. 3788-3795 - Lifeng Liu, Jian Li:
A System Framework for Localization and Mapping using High Resolution Cameras of Mobile Devices. 3796-3803
LCI 2019 Workshop
- Tran Minh Quan, David Grant Colburn Hildebrand, Kanggeun Lee, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Won-Ki Jeong:
Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data. 3804-3813 - Juncheng Li, Yiting Yuan, Kangfu Mei, Faming Fang:
Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution. 3814-3823 - Jochen Gast, Stefan Roth:
Deep Video Deblurring: The Devil is in the Details. 3824-3833 - Fahad Shamshad, Asif Hanif, Farwa Abbas, Muhammad Awais, Ali Ahmed:
Adaptive Ptych: Leveraging Image Adaptive Generative Priors for Subsampled Fourier Ptychography. 3834-3843 - Oleksii Sidorov, Jon Yngve Hardeberg:
Deep Hyperspectral Prior: Single-Image Denoising, Inpainting, Super-Resolution. 3844-3851 - Yingqian Wang, Longguang Wang, Jun-Gang Yang, Wei An, Yulan Guo:
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution. 3852-3857 - Feida Zhu, Hongji Cao, Zunlei Feng, Yongqiang Zhang, Wenbin Luo, Hucheng Zhou, Mingli Song, Kai-Kuang Ma:
Semi-Supervised Eye Makeup Transfer by Swapping Learned Representation. 3858-3867 - Sivalogeswaran Ratnasingam:
Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing. 3868-3878 - Tao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia:
Image Super-Resolution via Residual Block Attention Networks. 3879-3886 - Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek Kamilov:
Online Regularization by Denoising with Applications to Phase Retrieval. 3887-3895 - Shengkai Zhuo, Zhi Jin, Wenbin Zou, Xia Li:
RIDNet: Recursive Information Distillation Network for Color Image Denoising. 3896-3903 - Taimoor Tariq, Juan Luis Gonzalez Bello, Munchurl Kim:
A HVS-Inspired Attention to Improve Loss Metrics for CNN-Based Perception-Oriented Super-Resolution. 3904-3912 - Dan Yang, Veli-Tapani Peltoketo, Joni-Kristian Kämäräinen:
CNN-Based Cross-Dataset No-Reference Image Quality Assessment. 3913-3921 - Muhammad Usman Ghani, W. Clem Karl:
Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium. 3922-3932 - Cameron J. Blocker, Jeffrey A. Fessler:
Blind Unitary Transform Learning for Inverse Problems in Light-Field Imaging. 3933-3942 - Hengyuan Zhao, Wenze Shao, Bingkun Bao, Haibo Li:
A Simple and Robust Deep Convolutional Approach to Blind Image Denoising. 3943-3951 - Ali Pour Yazdanpanah, Onur Afacan, Simon K. Warfield:
Deep Plug-and-Play Prior for Parallel MRI Reconstruction. 3952-3958 - Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar:
SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction. 3959-3968 - Artem V. Nikonorov, Viktoria Evdokimova, Maksim V. Petrov, Pavel Y. Yakimov, Sergey A. Bibikov, Yuriy V. Yuzifovich, Roman V. Skidanov, Nikolay Lvovich Kazanskiy:
Deep Learning-Based Imaging using Single-Lens and Multi-Aperture Diffractive Optical Systems. 3969-3977 - Thuong Nguyen Canh, Hajime Nagahara:
Deep Compressive Sensing for Visual Privacy Protection in FlatCam Imaging. 3978-3986
GMDL 2019 Workshop
- Oliver Nina, Jamison Moody, Clarissa Milligan:
A Decoder-Free Approach for Unsupervised Clustering and Manifold Learning with Random Triplet Mining. 3987-3994 - Maximilian Jaritz, Jiayuan Gu, Hao Su:
Multi-View PointNet for 3D Scene Understanding. 3995-4003 - Shuang Sun, Chen Li, Zhenhua Guo, Yu-Wing Tai:
Parametric Human Shape Reconstruction via Bidirectional Silhouette Guidance. 4004-4013 - Alexandre Bône, Olivier Colliot, Stanley Durrleman:
Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers. 4014-4023 - Luyang Wang, Yan Chen, Zhenhua Guo, Keyuan Qian, Mude Lin, Hongsheng Li, Jimmy S. J. Ren:
Generalizing Monocular 3D Human Pose Estimation in the Wild. 4024-4033 - Aggeliki Tsoli, Antonis A. Argyros:
Patch-Based Reconstruction of a Textureless Deformable 3D Surface from a Single RGB Image. 4034-4043 - Tianwei Shen, Lei Zhou, Zixin Luo, Yao Yao, Shiwei Li, Jiahui Zhang, Tian Fang, Long Quan:
Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency. 4044-4053 - Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos:
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion. 4054-4064 - Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa:
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. 4065-4074 - Eduard Ramon, Guillermo Ruiz, Thomas Batard, Xavier Giró-i-Nieto:
Hyperparameter-Free Losses for Model-Based Monocular Reconstruction. 4075-4084 - Mor Joseph-Rivlin, Alon Zvirin, Ron Kimmel:
Momen^et: Flavor the Moments in Learning to Classify Shapes. 4085-4094 - Syed Ammar Abbas, Andrew Zisserman:
A Geometric Approach to Obtain a Bird's Eye View From an Image. 4095-4104 - Kosuke Arase, Yusuke Mukuta, Tatsuya Harada:
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds. 4105-4113 - Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker:
Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion. 4114-4122 - Albert Mosella-Montoro, Javier Ruiz Hidalgo:
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification. 4123-4132 - Hardik Jain, Manuel Wöllhaf, Olaf Hellwich:
Learning to Reconstruct Symmetric Shapes using Planar Parameterization of 3D Surface. 4133-4140 - Shunwang Gong, Lei Chen, Michael M. Bronstein, Stefanos Zafeiriou:
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator. 4141-4148
VXAI: Interpreting and Explaining Visual AI Models
- Beomsu Kim, Junghoon Seo, Seunghyeon Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon:
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps. 4149-4157 - Ruth Fong:
Occlusions for Effective Data Augmentation in Image Classification. 4158-4166 - Álvaro Parafita, Jordi Vitrià:
Explaining Visual Models by Causal Attribution. 4167-4175 - Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation. 4176-4185 - Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang:
Understanding Convolutional Networks Using Linear Interpreters - Extended Abstract. 4186-4189 - Byeongmoon Ji, Hyemin Jung, Jihyeun Yoon, Kyungyul Kim, Younghak Shin:
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques. 4190-4196 - Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards A Rigorous Evaluation Of XAI Methods On Time Series. 4197-4201 - Asma Ghandeharioun, Brian Eoff, Brendan Jou, Rosalind W. Picard:
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. 4202-4206 - Diego Marcos, Sylvain Lobry, Devis Tuia:
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. 4207-4215 - Tristan Hascoet, Xuejiao Deng, Kiyoto Tai, Yuji Adachi, Sachiko Nakamura, Tomoko Hayashi, Mari Sugiyama, Yasuo Ariki, Tetsuya Takiguchi:
Assisting human experts in the interpretation of their visual process: A case study on assessing copper surface adhesive potency. 4216-4225 - Jihyeun Yoon, Kyungyul Kim, Jongseong Jang:
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation. 4226-4234 - Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision explanation and feature importance for invertible networks. 4235-4239 - Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey I. Nikolenko:
Free-Lunch Saliency via Attention in Atari Agents. 4240-4249 - Sin-Han Kang, Honggyu Jung, Seong-Whan Lee:
Interpreting Undesirable Pixels for Image Classification on Black-Box Models. 4250-4254 - Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas, Ronald Poppe, Remco C. Veltkamp:
Class Feature Pyramids for Video Explanation. 4255-4264
AUTONUE 2019 Workshop
- Feng Ni, Yuehan Yao:
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head. 4265-4272 - Michal Uricár, Ján Ulicný, Ganesh Sistu, Hazem Rashed, Pavel Krízek, David Hurych, Antonín Vobecký, Senthil Kumar Yogamani:
Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras. 4273-4279 - Federica Arrigoni, Tomás Pajdla:
Motion Segmentation via Synchronization. 4280-4290 - Nabil Belbachir, Nadia Noori, Benyamin Akdemir:
Real-Time Vehicle Localization using on-Board Visual SLAM for Detection and Tracking. 4291-4295 - Prajjwal Bhargava:
On Generalizing Detection Models for Unconstrained Environments. 4296-4301 - Nitheesh Lakshminarayana:
Large Scale Multimodal Data Capture, Evaluation and Maintenance Framework for Autonomous Driving Datasets. 4302-4309
PBDL 2019 Workshop
- Zongji Wang, Feng Lu:
Single Image Intrinsic Decomposition with Discriminative Feature Encoding. 4310-4319 - Zihao W. Wang, Weixin Jiang, Kuan He, Boxin Shi, Aggelos K. Katsaggelos, Oliver Cossairt:
Event-Driven Video Frame Synthesis. 4320-4329 - Xian-Hua Han, Yinqiang Zheng, Yen-Wei Chen:
Multi-Level and Multi-Scale Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution. 4330-4339 - Zhixiang Hao, Shaodi You, Yu Li, Kunming Li, Feng Lu:
Learning From Synthetic Photorealistic Raindrop for Single Image Raindrop Removal. 4340-4349 - Nirit Nussbaum Hoffer, Tomer Michaeli:
Multispectral Reconstruction From Reference Objects in the Scene. 4350-4358
EPIC 2019 Workshop
- Chenyou Fan:
EgoVQA - An Egocentric Video Question Answering Benchmark Dataset. 4359-4366 - Tejo Chalasani, Aljosa Smolic:
Simultaneous Segmentation and Recognition: Towards More Accurate Ego Gesture Recognition. 4367-4375 - Chayma Zatout, Slimane Larabi, Ilyes Mendili, Soedji Ablam Edoh Barnabé:
Ego-Semantic Labeling of Scene from Depth Image for Visually Impaired and Blind People. 4376-4384 - Zhenqiang Li, Yifei Huang, Minjie Cai, Yoichi Sato:
Manipulation-Skill Assessment from Videos with Spatial Attention Network. 4385-4395 - Georgios Kapidis, Ronald Poppe, Elsbeth A. van Dam, Lucas P. J. J. Noldus, Remco C. Veltkamp:
Multitask Learning to Improve Egocentric Action Recognition. 4396-4405 - Wolfgang Fuhl, David Geisler, Wolfgang Rosenstiel, Enkelejda Kasneci:
The Applicability of Cycle GANs for Pupil and Eyelid Segmentation, Data Generation and Image Refinement. 4406-4415 - Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi:
Weakly-Supervised Degree of Eye-Closeness Estimation. 4416-4424 - Minlong Lu, Danping Liao, Ze-Nian Li:
Learning Spatiotemporal Attention for Egocentric Action Recognition. 4425-4434 - Atsushi Nakazawa, Miwako Honda:
First-Person Camera System to Evaluate Tender Dementia-Care Skill. 4435-4442 - Yamato Maekawa, Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase:
An Analysis of How Driver Experience Affects Eye-Gaze Behavior for Robotic Wheelchair Operation. 4443-4451 - Giorgio Ballestin, Manuela Chessa, Fabio Solari:
Assessment of Optical See-Through Head Mounted Display Calibration for Interactive Augmented Reality. 4452-4460 - Youngkyoon Jang, Brian Sullivan, Casimir J. H. Ludwig, Iain D. Gilchrist, Dima Damen, Walterio W. Mayol-Cuevas:
EPIC-Tent: An Egocentric Video Dataset for Camping Tent Assembly. 4461-4469 - Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
Seeing and Hearing Egocentric Actions: How Much Can We Learn? 4470-4480
CROMOL 2019 Workshop
- Johann Sawatzky, Debayan Banerjee, Juergen Gall:
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation. 4481-4490 - Ziad Al-Halah, Andrew P. Aitken, Wenzhe Shi, Jose Caballero:
Smile, Be Happy : ) Emoji Embedding for Visual Sentiment Analysis. 4491-4500 - Shah Nawaz, Muhammad Kamran Janjua, Ignazio Gallo, Arif Mahmood, Alessandro Calefati, Faisal Shafait:
Do Cross Modal Systems Leverage Semantic Relationships? 4501-4510 - Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian:
Two-Stream Video Classification with Cross-Modality Attention. 4511-4520 - Shuo-Diao Yang, Hung-Ting Su, Winston H. Hsu, Wen-Chin Chen:
DECCNet: Depth Enhanced Crowd Counting. 4521-4530 - Ge Song, Xiaoyang Tan:
Sequential Learning for Cross-Modal Retrieval. 4531-4539 - Nihat Tekeli, Ahmet Burak Can:
Distance Based Training for Cross-Modality Person Re-Identification. 4540-4549 - Koustav Ghosal, Aakanksha Rana, Aljosa Smolic:
Aesthetic Image Captioning From Weakly-Labelled Photographs. 4550-4560 - Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth:
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. 4561-4570 - Shivam Pande, Avinandan Banerjee, Saurabh Kumar, Biplab Banerjee, Subhasis Chaudhuri:
An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification. 4571-4580
Pregistration Workshop
- Anuj Pahuja, Simon Lucey:
Lossy GIF Compression Using Deep Intrinsic Parameterization. 4581-4583 - Florin Brad:
Scene Graph Contextualization in Visual Commonsense Reasoning. 4584-4586 - Alex Hernández-García, Peter König:
Learning Representational Invariance Instead of Categorization. 4587-4590 - Mohamed Abbas Hedjazi, Yakup Genç:
Learning to Inpaint by Progressively Growing the Mask Regions. 4591-4596 - Emir Konuk, Kevin Smith:
An Empirical Study of the Relation Between Network Architecture and Complexity. 4597-4599 - Eimear O' Sullivan:
Extending Convolutional Pose Machines for Facial Landmark Localization in 3D Point Clouds. 4600-4602 - John Kevin Cava, Todd Houghton, Hongbin Yu:
Towards Generalizable Distance Estimation By Leveraging Graph Information. 4603-4605 - Joohyeong Yoon, Won Woo Ro:
Access Characteristic-based Cache Replacement Policy in an SSD. 1-4 - Ruipeng Gang, Shuai Liu, Chenghua Li, Ruixia Song:
ASSR: A Lightweight Super Resolution Network with Aggregative Structure. 1-10 - Marcel C. Bühler, Seonwook Park, Shalini De Mello, Xucong Zhang, Otmar Hilliges:
Content-Consistent Generation of Realistic Eyes with Style. 1-5
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