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ORCIDBMVC 2017: London, UK
- British Machine Vision Conference 2017, BMVC 2017, London, UK, September 4-7, 2017. BMVA Press 2017
Tutorials
- Andreas Geiger:
Probabilistic and Deep Models for 3D Reconstruction. BMVC 2017 - Shimon Whiteson:
Intro to Reinforcement Learning. BMVC 2017 - Vincent Lepetit:
Deep Learning for 3D Localization. BMVC 2017 - Lourdes Agapito:
3D Reconstruction of Dynamic Scenes from Monocular Video. BMVC 2017
Spotlights 1
- Shi-Yen Tao, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Semantics-Preserving Locality Embedding for Zero-Shot Learning. - Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy:
Hyperspectral CNN Classification with Limited Training Samples. - Mariko Isogawa, Dan Mikami, Kosuke Takahashi, Hideaki Kimata:
Which is the better inpainted image? Learning without subjective annotation. - Farnoosh Ghadiri, Robert Bergevin, Guillaume-Alexandre Bilodeau:
Spatio-Temporal Consistency to Detect and Segment Carried Objects. - Marc Bosch, Christopher M. Gifford, Austin G. Dress, Clare W. Lau, Jeffrey G. Skibo:
Improved Image Segmentation via Cost Minimization of Multiple Hypotheses. - Sifei Liu, Jianping Shi, Liang Ji, Ming-Hsuan Yang:
Face Parsing via Recurrent Propagation. - Anil Armagan, Martin Hirzer, Peter M. Roth, Vincent Lepetit:
Accurate Camera Registration in Urban Environments Using High-Level Feature Matching. - Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari:
The Devil is in the Decoder. - Xinlei Pan, Yurong You, Ziyan Wang, Cewu Lu:
Virtual to Real Reinforcement Learning for Autonomous Driving. - Xuebin Qin, Shida He, Zichen Zhang, Masood Dehghan, Martin Jägersand:
Real-Time Salient Closed Boundary Tracking using Perceptual Grouping and Shape Priors.
Orals: Pose Estimation
- Seungryul Baek, Zhiyuan Shi, Masato Kawade, Tae-Kyun Kim
:
Kinematic-Layout-aware Random Forests for Depth-based Action Recognition. - Matthew Trumble, Andrew Gilbert, Charles Malleson, Adrian Hilton, John P. Collomosse:
Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors. - Vince Tan, Ignas Budvytis, Roberto Cipolla:
Indirect deep structured learning for 3D human body shape and pose prediction. - Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza:
Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization.
Posters 1
- Jong-Chyi Su, Subhransu Maji:
Adapting Models to Signal Degradation using Distillation. - Pascal Mettes, Cees Snoek, Shih-Fu Chang:
Localizing Actions from Video Labels and Pseudo-Annotations. - Vladislav Golyanik, Torben Fetzer, Didier Stricker:
Introduction to Coherent Depth Fields for Dense Monocular Surface Recovery. - James Charles, Ignas Budvytis, Roberto Cipolla:
Real-time Factored ConvNets: Extracting the X Factor in Human Parsing. - Qizhu Li, Anurag Arnab, Philip H. S. Torr:
Holistic, Instance-level Human Parsing. - Julien Pansiot, Edmond Boyer:
CT from Motion: Volumetric Capture of Moving Shapes using X-rays. - Han Gong, Graham D. Finlayson, Maryam M. Darrodi:
Concise Radiometric Calibration Using The Power of Ranking. - Stephan Liwicki, Christopher Zach:
Scale Exploiting Minimal Solvers for Relative Pose with Calibrated Cameras. - Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, C.-C. Jay Kuo:
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection. - Konda Reddy Mopuri, Utsav Garg, Venkatesh Babu Radhakrishnan:
Fast Feature Fool: A data independent approach to universal adversarial perturbations. - Rada Deeb, Damien Muselet, Mathieu Hébert, Alain Trémeau, Joost van de Weijer:
3D color charts for camera spectral sensitivity estimation. - Ruggero Pintus, Andrea Giachetti, Giovanni Pintore, Enrico Gobbetti:
Guided Robust Matte-Model Fitting for Accelerating Multi-light Reflectance Processing Techniques. - Elias Mueggler, Chiara Bartolozzi, Davide Scaramuzza:
Fast Event-based Corner Detection. - Shiguang Wang:
PCN: Part and Context Information for Pedestrian Detection with CNNs. - Mahdi Rad, Vincent Lepetit, Peter M. Roth:
Adaptive Local Contrast Normalization for Robust Object Detection and Pose Estimation. - Amogh Gudi, Nicolai van Rosmalen, Marco Loog, Jan C. van Gemert:
Object-Extent Pooling for Weakly Supervised Single-Shot Localization. - Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang:
Transformed Anti-Sparse Hashing. - Trung-Nghia Le, Akihiro Sugimoto:
Deeply Supervised 3D Recurrent FCN for Salient Object Detection in Videos. - Dongqing Zou, Feng Shi, Wei-Heng Liu, Jia Li, Qiang Wang, Paul K. J. Park, Hyunsurk Ryu:
Robust Dense Depth Maps Generations from Sparse DVS Stereos. - Jia Li, Feng Shi, Wei-Heng Liu, Dongqing Zou, Qiang Wang, Paul K. J. Park, Hyunsurk Ryu:
Adaptive Temporal Pooling for Object Detection using Dynamic Vision Sensor. - Chloe LeGendre, Konstantinos Batsos, Philippos Mordohai:
High-Resolution Stereo Matching based on Sampled Photoconsistency Computation. - Zongyuan Ge, Sergey Demyanov, Rahil Garnavi:
Generative OpenMax for Multi-Class Open Set Classification. - Victor Fragoso, Christopher Sweeney, Pradeep Sen, Matthew A. Turk:
ANSAC: Adaptive Non-Minimal Sample and Consensus. - Dana Menaker, Tali Treibitz, Shai Avidan:
Color Restoration of Underwater Images. - Jifei Song, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales:
Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma. - Kaiyue Pang, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales:
Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval. - Oriel Frigo:
Epipolar Plane Diffusion: An Efficient Approach for Light Field Editing. - Chengju Zhou, Meiqing Wu, Siew-Kei Lam:
Group Cost-sensitive Boosting with Multi-scale Decorrelated Filters for Pedestrian Detection. - Geethu Miriam Jacob, Sukhendu Das:
Moving Object Segmentation in Jittery Videos by Stabilizing Trajectories Modeled in Kendall's Shape Space. - Joo Ho Lee, Seung-Hwan Baek, Min H. Kim:
Urban Image Stitching using Planar Perspective Guidance. - Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid:
Detecting Parts for Action Localization. - Jiyang Gao, Zhenheng Yang, Ram Nevatia:
Cascaded Boundary Regression for Temporal Action Detection. - Bhavin Modi, Adriana Kovashka:
Confidence and Diversity for Active Selection of Feedback in Image Retrieval. - Matheus Gadelha, Subhransu Maji, Rui Wang:
Shape Generation using Spatially Partitioned Point Clouds. - Tanzila Rahman, Mrigank Rochan, Yang Wang:
Person Re-Identification by Localizing Discriminative Regions. - Omit Chanda, Eu Wern Teh, Mrigank Rochan, Zhenyu Guo, Yang Wang:
Adapting Object Detectors from Images to Weakly Labeled Videos. - Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla:
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. - Amir Atapour Abarghouei, Toby P. Breckon:
DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation. - Yu Mitsuzumi, Atsushi Nakazawa, Toyoaki Nishida:
DEEP eye contact detector: Robust eye contact bid detection using convolutional neural network. - Viet Quoc Pham, Satoshi Ito, Tatsuo Kozakaya:
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks. - Md. Amirul Islam, Mahmoud Kalash, Mrigank Rochan, Neil D. B. Bruce, Yang Wang:
Salient Object Detection using a Context-Aware Refinement Network. - Pyojin Kim, Brian Coltin, Hyoun Jin Kim:
Visual Odometry with Drift-Free Rotation Estimation Using Indoor Scene Regularities. - David Joseph Tan, Federico Tombari, Nassir Navab:
One For All: Adaptive Learning-based Temporal Tracker for 3D Head Shape Models. - Chu Wang, Marcello Pelillo, Kaleem Siddiqi:
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition. - Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC). - Huijing Zhan, Boxin Shi, Alex C. Kot:
DeepShoe: A Multi-Task View-Invariant CNN for Street-to-Shop Shoe Retrieval. - Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang:
Weakly Supervised Saliency Detection with A Category-Driven Map Generator. - Qi Zheng, Peng Zhang, Xinge You:
Saliency Detection by Compactness Diffusion. - Yang Zhou, Kai Yu, Biao Leng, Zhang Zhang, Dangwei Li, Kaiqi Huang:
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization. - Shu-hui Wang, Chiou-Ting Hsu:
AST-Net: An Attribute-based Siamese Temporal Network for Real-Time Emotion Recognition. - Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Combined Internal and External Category-Specific Image Denoising. - Yueyu Hu, Chunhui Liu, Yanghao Li, Jiaying Liu:
Temporal Perceptive Network for Skeleton-Based Action Recognition. - Jianyu Wang, Zhishuai Zhang, Cihang Xie, Jun Zhu, Lingxi Xie, Alan L. Yuille:
Detecting Semantic Parts on Partially Occluded Objects. - Yawei Ye, Titus Cieslewski, Antonio Loquercio, Davide Scaramuzza:
Place Recognition in Semi-Dense Maps. - Soomin Kim, Taeyoung Kim, Min H. Kim, Sung-Eui Yoon:
Image Completion with Intrinsic Reflectance Guidance. - Jisoo Jeong, Hyojin Park, Nojun Kwak:
Enhancement of SSD by concatenating feature maps for object detection. - Arash Akbarinia, Raquel Gil Rodríguez, C. Alejandro Párraga:
Colour Constancy: Biologically-inspired Contrast Variant Pooling Mechanism. - Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. - Guisik Kim, Junseok Kwon:
Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features. - Ching Wei Tseng, Hung-Jin Lin, Shang-Hong Lai:
General Deep Image Completion with Lightweight Conditional Generative Adversarial Networks. - Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother:
Augmented Reality meets Deep Learning. - Matthias Limmer, Hendrik P. A. Lensch:
Improved IR-Colorization using Adversarial Training and Estuary Networks. - Yuta Nakashima, Fumio Okura, Norihiko Kawai, Ryosuke Kimura, Hiroshi Kawasaki, Katsushi Ikeuchi, Ambrosio Blanco:
Realtime Novel View Synthesis with Eigen-Texture Regression. - Hany A. El-Ghaish, Mohamed E. Hussein, Amin A. Shoukry:
Human Action Recognition Using A Multi-Modal Hybrid Deep Learning Model. - Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert:
Probabilistic Image Colorization. - Christopher Zach, Guillaume Bourmaud:
Iterated Lifting for Robust Cost Optimization.
Orals: Scene Understanding
- Daniel Hernández Juárez, Lukas Schneider, Antonio Espinosa, Juan C. Moure, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys:
Slanted Stixels: Representing San Francisco's Steepest Streets. - Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Deformable Part-based Fully Convolutional Network for Object Detection. - Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan L. Yuille:
Multiple Instance Visual-Semantic Embedding. - Martin Garbade, Juergen Gall:
Thinking Outside the Box: Spatial Anticipation of Semantic Categories.
Orals: Action Recognition
- Rui Hou, Rahul Sukthankar, Mubarak Shah:
Real-Time Temporal Action Localization in Untrimmed Videos by Sub-Action Discovery. - Jiyang Gao, Zhenheng Yang, Ram Nevatia:
RED: Reinforced Encoder-Decoder Networks for Action Anticipation. - Shyamal Buch, Victor Escorcia, Bernard Ghanem, Li Fei-Fei, Juan Carlos Niebles:
End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos. - Yufei Wang, Zhe Lin, Xiaohui Shen, Radomír Mech, Gavin S. P. Miller, Garrison W. Cottrell:
Recognizing and Curating Photo Albums via Event-Specific Image Importance. - Zhenheng Yang, Jiyang Gao, Ram Nevatia:
Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation.
Spotlights 2
- Scott Wehrwein, Richard Szeliski:
Video Segmentation with Background Motion Models. - Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri, Thomas Brox:
Orientation-boosted Voxel Nets for 3D Object Recognition. - Audrey Richard, Christoph Vogel, Maros Blaha, Thomas Pock, Konrad Schindler:
Semantic 3D Reconstruction with Finite Element Bases. - Olivia Wiles, Andrew Zisserman:
SilNet : Single- and Multi-View Reconstruction by Learning from Silhouettes. - Roberto Mecca, Fotios Logothetis, Roberto Cipolla:
A Differential Approach to Shape from Polarization. - Christian Bailer, Tewodros Habtegebrial, Kiran Varanasi, Didier Stricker:
Fast dense feature extraction with convolutional neural networks that have pooling or striding layers. - Mohammad Amin Sadeghi, Mohammad Amin Shabani, Laleh Samadfam:
Local Visual Microphones: Improved Sound Extraction from Silent Video. - Yuming Shen, Li Liu, Ling Shao:
Unsupervised Deep Generative Hashing. - Karl Ni, Kyle Zaragoza, Alexander Gude, Yonas Tesfaye, Carmen Carrano, Charles Foster, Barry Chen:
Sampled Image Tagging and Retrieval Methods on User Generated Content. - James Tompkin, Kwang In Kim, Hanspeter Pfister, Christian Theobalt:
Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking.
Orals: Face Analysis
- Conghui Hu, Da Li, Yi-Zhe Song, Timothy M. Hospedales:
Now You See Me: Deep Face Hallucination for Unviewed Sketches. - Arsha Nagrani, Andrew Zisserman:
From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script. - Yunxuan Zhang, Li Liu, Cheng Li, Chen Change Loy:
Quantifying Facial Age by Posterior of Age Comparisons. - Joon Son Chung, Amir Jamaludin, Andrew Zisserman:
You said that?
Posters 2
- Bor-Chun Chen, Yan-Ying Chen, Francine Chen:
Video to Text Summary: Joint Video Summarization and Captioning with Recurrent Neural Networks. - Ikhsanul Habibie, Daniel Holden, Jonathan Schwarz, Joe Yearsley, Taku Komura:
A Recurrent Variational Autoencoder for Human Motion Synthesis. - Radwa Fathalla, George Vogiatzis:
A deep learning pipeline for semantic facade segmentation. - Xu Lan, Hangxiao Wang, Shaogang Gong, Xiatian Zhu:
Deep Reinforcement Learning Attention Selection For Person Re-Identification. - Qicheng Lao, Thomas Fevens:
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. - Meng Ye, Yuhong Guo:
Labelless Scene Classification with Semantic Matching. - Joshin Krishnan, José M. Bioucas-Dias:
Patch-based Interferometric Phase Estimation via Mixture of Gaussian Density Modelling & Non-local Averaging in the Complex Domain. - Takumi Kobayashi:
Feature Sequence Representation Via Slow Feature Analysis For Action Classification. - Qingle Huang, Zicheng Liao:
A Convolutional Temporal Encoder for Video Caption Generation. - Jian Zhao, Jianshu Li, Fang Zhao, Xuecheng Nie, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
Marginalized CNN: Learning Deep Invariant Representations. - Yue Cao, Mingsheng Long, Jianmin Wang:
Correlation Hashing Network for Efficient Cross-Modal Retrieval. - Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu:
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. - Bat El Shlomo:
BIM: Ball Intersection Multi Template Matching. - Difei Gao, Ruiping Wang, Shiguang Shan, Xilin Chen:
Visual Textbook Network: Watch Carefully before Answering Visual Questions. - Chen Chen, Min Cao, Silong Peng:
Key Person Aided Re-identification in Partially Ordered Pedestrian Set. - Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Alessio Tonioni, Luigi Di Stefano:
Learning confidence measures in the wild. - M. Saquib Sarfraz, Arne Schumann, Yan Wang, Rainer Stiefelhagen:
Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model. - Rui Yu, Zhichao Zhou, Song Bai, Xiang Bai:
Divide and Fuse: A Re-ranking Approach for Person Re-identification. - Chao Wang, Takahiro Okabe:
Joint Optimization of Coded Illumination and Grayscale Conversion for One-Shot Raw Material Classification. - Haitian Zheng, Mengqi Ji, Lei Han, Ziwei Xu, Haoqian Wang, Yebin Liu, Lu Fang:
Learning Cross-scale Correspondence and Patch-based Synthesis for Reference-based Super-Resolution. - Hanh Tran, David C. Hogg:
Anomaly Detection using a Convolutional Winner-Take-All Autoencoder. - Akshay Jain, Alexander Fell, Saket Anand:
A Parallel Architecture for High Frame Rate Stereo using Semi-Global Matching.