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ORCIDCVPR 2019: Long Beach, CA, USA - Workshops
- IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019. Computer Vision Foundation / IEEE 2019
The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security
- Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang:
Privacy-Preserving Action Recognition Using Coded Aperture Videos. 1-10 - Puspita Majumdar, Akshay Agarwal
, Richa Singh, Mayank Vatsa:
Evading Face Recognition via Partial Tampering of Faces. 11-20 - Sola S. Shirai, Jacob Whitehill:
Privacy-Preserving Annotation of Face Images Through Attribute-Preserving Face Synthesis. 21-29 - Xiuli Bi, Yang Wei, Bin Xiao, Weisheng Li:
RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection. 30-39 - Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shai Halevi:
Towards Deep Neural Network Training on Encrypted Data. 40-48 - Simen Thys, Wiebe Van Ranst, Toon Goedemé:
Fooling Automated Surveillance Cameras: Adversarial Patches to Attack Person Detection. 49-55 - Tao Li, Lei Lin:
AnonymousNet: Natural Face De-Identification With Measurable Privacy. 56-65 - Vivek B. S., Arya Baburaj, R. Venkatesh Babu:
Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training. 66-73 - Marzieh Gheisari, Teddy Furon, Laurent Amsaleg:
Privacy Preserving Group Membership Verification and Identification. 74-82 - Viresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty, Richa Singh, Mayank Vatsa:
Bag-Of-Lies: A Multimodal Dataset for Deception Detection. 83-90 - Hossein Hosseini, Sreeram Kannan, Radha Poovendran:
Dropping Pixels for Adversarial Robustness. 91-97 - Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten:
DP-CGAN: Differentially Private Synthetic Data and Label Generation. 98-104 - Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forest. 105-114
3rd International Workshop on Visual Odometry & Computer Vision Applications Based on Location Clues
- Minhaeng Lee, Charless C. Fowlkes:
CeMNet: Self-Supervised Learning for Accurate Continuous Ego-Motion Estimation. 354-363 - Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani, Mohamed El-Helw:
Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation. 364-370 - Liang Yang, Hao Jiang, Zhouyuan Huo, Jizhong Xiao:
Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association. 371-380 - Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. 381-388
Precognition: Seeing through the Future
- Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran:
Leveraging the Present to Anticipate the Future in Videos. 2915-2922 - Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Predicting the What and How - a Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling. 2923-2926 - Son Thai Ly, Nhu-Tai Do, Gueesang Lee, Soo-Hyung Kim, Hyung-Jeong Yang:
Multimodal 2D and 3D for In-The-Wild Facial Expression Recognition. 2927-2934 - Lukás Neumann, Andrew Zisserman, Andrea Vedaldi:
Future Event Prediction: If and When. 2935-2943 - Max Hudnell, True Price, Jan-Michael Frahm:
Robust Aleatoric Modeling for Future Vehicle Localization. 2944-2951 - Chiho Choi, Behzad Dariush:
Learning to Infer Relations for Future Trajectory Forecast. 2952-2955 - Sebastian Agethen, Hu-Cheng Lee, Winston H. Hsu:
Anticipation of Human Actions With Pose-Based Fine-Grained Representations. 2956-2959 - Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. 2960-2963 - Javad Amirian, Jean-Bernard Hayet, Julien Pettré:
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories With GANs. 2964-2972 - Baohua Sun, Lin Yang, Wenhan Zhang, Michael Lin, Patrick Dong, Charles Young, Jason Dong:
SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data. 2973-2981
Multimodal Learning and Applications
- Giorgio Santolini, Paolo Rota, Davide Gandolfi, Paolo Bosetti:
Cut Quality Estimation in Industrial Laser Cutting Machines: A Machine Learning Approach. 389-397 - Bo Zhao, Yanwei Fu, Rui Liang, Jiahong Wu, Yonggang Wang, Yizhou Wang:
A Large-Scale Attribute Dataset for Zero-Shot Learning. 398-407 - Giorgio Giannone, Boris Chidlovskii:
Learning Common Representation From RGB and Depth Images. 408-415 - Martin Garbade, Yueh-Tung Chen, Johann Sawatzky, Juergen Gall:
Two Stream 3D Semantic Scene Completion. 416-425 - Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou, Costas J. Spanos:
WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition. 426-433 - Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang:
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. 434-443 - Wentong Liao, Bodo Rosenhahn, Ling Shuai, Michael Ying Yang:
Natural Language Guided Visual Relationship Detection. 444-453 - Bowen Pan, Jiankai Sun, Wuwei Lin, Limin Wang, Weiyao Lin:
Cross-Stream Selective Networks for Action Recognition. 454-460 - Timmy S. T. Wan, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen:
Co-Compressing and Unifying Deep CNN Models for Efficient Human Face and Speaker Recognition. 461-468
Photogrammetric Computer Vision
- Iraklis Tsekourakis, Philippos Mordohai:
Measuring the Effects of Temporal Coherence in Depth Estimation for Dynamic Scenes. 2867-2875 - Soshi Shimada, Vladislav Golyanik, Christian Theobalt, Didier Stricker:
IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction. 2876-2885 - Matan Goldman, Tal Hassner, Shai Avidan:
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation. 2886-2895 - Xin Wang, Teng Xiao, Michael Gruber, Christian Heipke:
Robustifying Relative Orientations With Respect to Repetitive Structures and Very Short Baselines for Global SfM. 2896-2904 - Oleksandra Bielova, Ronny Hänsch, Andreas Ley, Olaf Hellwich:
A Digital Image Processing Pipeline for Modelling of Realistic Noise in Synthetic Images. 2905-2914
4th BMTT MOT Challenge Workshop - How crowded can it get?
- Roberto Henschel, Yunzhe Zou, Bodo Rosenhahn:
Multiple People Tracking Using Body and Joint Detections. 770-779 - Roberto Henschel, Timo von Marcard, Bodo Rosenhahn:
Simultaneous Identification and Tracking of Multiple People Using Video and IMUs. 780-789
Women in Computer Vision Workshop
- Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador:
WiCV 2019: The Sixth Women In Computer Vision Workshop. 469-471 - Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin:
Post Disaster Mapping With Semantic Change Detection in Satellite Imagery. 472-474 - Mona Jalal, Josef B. Spjut, Ben Boudaoud, Margrit Betke:
SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition With Distractors. 475-477 - Samira Pouyanfar, Tianyi Wang, Shu-Ching Chen:
Residual Attention-Based Fusion for Video Classification. 478-480 - Doris Antensteiner, Svorad Stolc, Daniel Soukup:
Single Image Multi-Spectral Photometric Stereo Using a Split U-Shaped CNN. 481-483 - Carianne Martinez, Kevin M. Potter, Matthew D. Smith, Emily A. Donahue, Lincoln Collins, John P. Korbin, Scott A. Roberts:
Segmentation Certainty Through Uncertainty: Uncertainty-Refined Binary Volumetric Segmentation Under Multifactor Domain Shift. 484-486 - Brigit Schroeder, Alexandre Alahi:
Using a Priori Knowledge to Improve Scene Understanding. 487-489 - Kaylen J. Pfisterer, Robert Amelard, Braeden Syrnyk, Alexander Wong:
Towards Computer Vision Powered Color-Nutrient Assessment of Pureed Food. 490-492 - Zeinab Gharibbafghi, Jiaojiao Tian, Peter Reinartz:
Superpixel-Based 3D Building Model Refinement and Change Detection, Using VHR Stereo Satellite Imagery. 493-495 - Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Assessing Architectural Similarity in Populations of Deep Neural Networks. 496-498 - Akshita Mittel, Purna Sowmya Munukutla:
Visual Transfer Between Atari Games Using Competitive Reinforcement Learning. 499-501 - Jing Mu, Xinfeng Zhang, Shuyuan Zhu, Ruiqin Xiong:
Riemannian Loss for Image Restoration. 502-504 - Xiaodan Hu, Mohamed A. Naiel, Alexander Wong, Mark Lamm, Paul W. Fieguth:
RUNet: A Robust UNet Architecture for Image Super-Resolution. 505-507 - Anuja P. Parameshwaran, Heta P. Desai, Rajshekhar Sunderraman, Michael Weeks:
Transfer Learning for Classifying Single Hand Gestures on Comprehensive Bharatanatyam Mudra Dataset. 508-510 - Zengyan Wang, Fangyu Li, Thiab R. Taha, Hamid R. Arabnia:
Improved Automating Seismic Facies Analysis Using Deep Dilated Attention Autoencoders. 511-513 - Niveditha Kalavakonda, Blake Hannaford, Zeeshan Qazi, Laligam N. Sekhar:
Autonomous Neurosurgical Instrument Segmentation Using End-To-End Learning. 514-516
FFSS-USAD
- Xingxing Zou, Xiangheng Kong, Waikeung Wong, Congde Wang, Yuguang Liu, Yang Cao:
FashionAI: A Hierarchical Dataset for Fashion Understanding. 296-304 - Hirokatsu Kataoka, Yutaka Satoh, Kaori Abe, Munetaka Minoguchi, Akio Nakamura:
Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis. 305-312 - Yusan Lin, Maryam Moosaei, Hao Yang:
Learning Personal Tastes in Choosing Fashion Outfits. 313-315 - Sanghyuk Park, Minchul Shin, Sungho Ham, Seungkwon Choe, Yoohoon Kang:
Study on Fashion Image Retrieval Methods for Efficient Fashion Visual Search. 316-319 - Dong Liu, Rohit Puri, Nagendra Kamath, Subhabrata Bhattacharya:
Modeling Image Composition for Visual Aesthetic Assessment. 320-322 - Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan:
Fashion-AttGAN: Attribute-Aware Fashion Editing With Multi-Objective GAN. 323-325 - Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy:
Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. 326-334 - Nour Karessli, Romain Guigourès, Reza Shirvany:
SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images. 335-343 - Michal Kucer, Naila Murray:
A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. 344-353
Perception Beyond the Visible Spectrum workshop
- Rajeev Bhatt, M. Gökhan Uzunbas, Thai Hoang, Ozge C. Whiting:
Segmentation of Low-Level Temporal Plume Patterns From IR Video. 847-854 - James F. Mullen Jr., Franklin R. Tanner, Phil A. Sallee:
Comparing the Effects of Annotation Type on Machine Learning Detection Performance. 855-861 - David-Alexandre Beaupré, Guillaume-Alexandre Bilodeau:
Siamese CNNs for RGB-LWIR Disparity Estimation. 862-870 - Tegan H. Emerson, Colin C. Olson, Anthony Lutz:
Image Recovery in the Infrared Domain via Path-Augmented Compressive Sampling Matching Pursuit. 871-880 - Alexei Bastidas, Hanlin Tang:
Channel Attention Networks. 881-888 - Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu:
Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning. 889-897 - Samr Ali, Nizar Bouguila:
Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition. 898-906 - Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim:
SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. 907-915 - Sebastian Moosbauer, Daniel König, Jens Jäkel, Michael Teutsch:
A Benchmark for Deep Learning Based Object Detection in Maritime Environments. 916-925 - Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal:
Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping. 926-933 - Duohan Liang, Guoliang Fan, Guangfeng Lin, Wanjun Chen, Xiaorong Pan, Hong Zhu:
Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition. 934-940 - Farzan Erlik Nowruzi, Wassim A. El Ahmar, Robert Laganière, Amir H. Ghods:
In-Vehicle Occupancy Detection With Convolutional Networks on Thermal Images. 941-948 - Nate Lannan, Guoliang Fan:
Filter Guided Manifold Optimization in the Autoencoder Latent Space. 949-955 - Savas Özkan, Gozde Bozdagi Akar:
Hyperspectral Data to Relative Lidar Depth: An Inverse Problem for Remote Sensing. 956-963 - Mahdi Yazdanpour, Guoliang Fan, Weihua Sheng:
Online Reconstruction of Indoor Scenes With Local Manhattan Frame Growing. 964-970 - Armin Mehri, Ángel D. Sappa:
Colorizing Near Infrared Images Through a Cyclic Adversarial Approach of Unpaired Samples. 971-979 - Domenick Poster, Shuowen Hu, Nasser M. Nasrabadi, Benjamin S. Riggan:
An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery. 980-987 - Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman:
Pedestrian Detection in Thermal Images Using Saliency Maps. 988-997 - Edgar A. Bernal:
Surrogate Contrastive Network for Supervised Band Selection in Multispectral Computer Vision Tasks. 998-1006 - Lin Guo, Guoliang Fan, Weihua Sheng:
Dual Graphical Models for Relational Modeling of Indoor Object Categories. 1007-1013 - Patricia L. Suarez, Ángel D. Sappa, Boris Xavier Vintimilla, Riad I. Hammoud:
Image Vegetation Index Through a Cycle Generative Adversarial Network. 1014-1021 - Yumi Iwashita, Kazuto Nakashima, Sir Rafol, Adrian Stoica, Ryo Kurazume:
MU-Net: Deep Learning-Based Thermal IR Image Estimation From RGB Image. 1022-1028 - Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian:
Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery. 1029-1038
Embedded Vision Workshop
- Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato:
Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps. 149-157 - Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems. 158-167 - Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato:
DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection. 168-177
Bias Estimation in Face Analytics (BEFA)
- Rubén Vera-Rodríguez, Marta Blázquez, Aythami Morales, Ester Gonzalez-Sosa, João C. Neves, Hugo Proença:
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems. 2254-2260 - Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. 2261-2268 - Nisha Srinivas, Karl Ricanek, Dana Michalski, David S. Bolme, Michael King:
Face Recognition Algorithm Bias: Performance Differences on Images of Children and Adults. 2269-2277 - Krishnapriya K. S, Kushal Vangara, Michael C. King, Vitor Albiero, Kevin W. Bowyer:
Characterizing the Variability in Face Recognition Accuracy Relative to Race. 2278-2285 - Vidya Muthukumar:
Color-Theoretic Experiments to Understand Unequal Gender Classification Accuracy From Face Images. 2286-2295
EarthVision
- Benjamin Kellenberger, Diego Marcos, Devis Tuia:
When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. 1414-1422 - Xudong Jin, Yanfeng Gu:
Intrinsic Scene Properties From Hyperspectral Images and LiDAR. 1423-1431 - Jacob Shermeyer, Adam Van Etten:
The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery. 1432-1441 - Liuyun Duan, Mathieu Desbrun, Anne Giraud, Frederic Trastour, Lionel Laurore:
Large-Scale DTM Generation From Satellite Data. 1442-1450 - Matthew J. Leotta, Chengjiang Long, Bastien Jacquet, Matthieu Zins, Dan Lipsa, Jie Shan, Bo Xu, Zhixin Li, Xu Zhang, Shih-Fu Chang, Matthew Purri, Jia Xue, Kristin J. Dana:
Urban Semantic 3D Reconstruction From Multiview Satellite Imagery. 1451-1460 - Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. 1461-1470