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ORCID31st BMVC 2020: Virtual Event, UK
- 31st British Machine Vision Conference 2020, BMVC 2020, Virtual Event, UK, September 7-10, 2020. BMVA Press 2020
Oral Session 1: Looking at People
- Vítor Albiero, Kevin W. Bowyer:
Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are. - Deying Kong, Haoyu Ma, Xiaohui Xie:
SIA-GCN: A Spatial Information Aware Graph Neural Network with 2D Convolutions for Hand Pose Estimation. - Yumeng Zhang, Li Chen, Yufeng Liu, Wen Zheng, Jun-Hai Yong:
Explicit Knowledge Distillation for 3D Hand Pose Estimation from Monocular RGB. - Sara Iodice, Krystian Mikolajczyk:
Text Attribute Aggregation and Visual Feature Decomposition for Person Search.
Oral Session 2: Cross Modality and Weak Supervision
- Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song:
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. - Surbhi Aggarwal, Jogendra Nath Kundu, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation. - Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin:
Advancing weakly supervised cross-domain alignment with optimal transport. - Xin Tian, Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau:
Weakly-supervised Salient Instance Detection.
Poster Session 1
- Andrew Gilbert, Matthew Trumble, Adrian Hilton, John P. Collomosse:
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras. - Chen Li, Gim Hee Lee:
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses. - Samik Some, Mithun Das Gupta, Vinay P. Namboodiri:
Determinantal Point Process as an alternative to NMS. - Hei Law, Yun Teng, Olga Russakovsky, Jia Deng:
CornerNet-Lite: Efficient Keypoint based Object Detection. - Yanan Liu, Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio W. Mayol-Cuevas:
High-speed Light-weight CNN Inference via Strided Convolutions on a Pixel Processor Array. - Brian L. Davis, Bryan S. Morse, Brian L. Price, Chris Tensmeyer, Curtis Wigington, Rajiv Jain:
Text and Style Conditioned GAN for the Generation of Offline-Handwriting Lines. - Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. - Sunhee Hwang, Sungho Park, Dohyung Kim, Mirae Do, Hyeran Byun:
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation. - Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang:
Annealing Genetic GAN for Minority Oversampling. - Ren Harada, Antonio Tejero-de-Pablos, Tatsuya Harada:
Accurate Parts Visualization for Explaining CNN Reasoning via Semantic Segmentation. - Sagnik Das, Hassan A. Sial, Ke Ma, Ramón Baldrich, María Vanrell, Dimitris Samaras:
Intrinsic Decomposition of Document Images In-the-Wild. - Yuewei Yang, Kevin J. Liang, Lawrence Carin:
Object Detection as a Positive-Unlabeled Problem. - Sangpil Kim, Hyung-Gun Chi, Xiao Hu, Anirudh Vegesana, Karthik Ramani:
First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset. - Joseph Jenkins, Adeline Paiement, Jean Aboudarham, Xavier Bonnin:
Physics-informed detection and segmentation of type II solar radio bursts. - Julian Habekost, Takaaki Shiratori, Yuting Ye, Taku Komura:
Learning 3D Global Human Motion Estimation from Unpaired, Disjoint Datasets. - Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Bridges. - Rasmus Kjær Høier, Christopher Zach:
Lifted Regression/Reconstruction Networks. - Joan Pep Company-Corcoles, Emilio Garcia-Fidalgo, Alberto Ortiz:
LiPo-LCD: Combining Lines and Points for Appearance-based Loop Closure Detection. - Devesh Adlakha, Adlane Habed, Fabio Morbidi, Cédric Demonceaux, Michel de Mathelin:
Stratified Autocalibration of Cameras with Euclidean Image Plane. - William Thong, Cees Snoek:
Bias-Awareness for Zero-Shot Learning the Seen and Unseen. - Hanwen Cao, Yongyi Lu, Bo Pang, Cewu Lu, Alan L. Yuille, Gongshen Liu:
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. - Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang:
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization. - Geoffrey French, Samuli Laine, Timo Aila, Michal Mackiewicz, Graham D. Finlayson:
Semi-supervised semantic segmentation needs strong, varied perturbations. - Steffen Wolf, Fred A. Hamprecht, Jan Funke:
Inpainting Networks Learn to Separate Cells in Microscopy Images. - Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter. - Samu Koskinen, Dan Yang, Joni-Kristian Kamarainen:
Cross-dataset Color Constancy Revisited Using Sensor-to-Sensor Transfer. - Ankit Jha, Awanish Kumar, Biplab Banerjee, Vinay P. Namboodiri:
SD-MTCNN: Self-Distilled Multi-Task CNN. - Amnon Drory, Oria Ratzon, Shai Avidan, Raja Giryes:
The Resistance to Label Noise in K-NN and DNN Depends on its Concentration. - Kangmin Bae, Kimin Yun, Hyung-Il Kim, Youngwan Lee, Jongyoul Park:
Anti-Litter Surveillance based on Person Understanding via Multi-Task Learning. - Taiki Miyanishi, Takuya Maekawa, Motoaki Kawanabe:
Two-Stream Spatiotemporal Compositional Attention Network for VideoQA. - Yijun Zhou, James Gregson:
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose. - Chao Zhang, Sen He, Stephan Liwicki:
A Spherical Approach to Planar Semantic Segmentation. - Ziwen Chen, Wenxuan Wu, Zhongang Qi, Fuxin Li:
Visualizing point cloud classifiers by curvature smoothing. - Eden Belouadah, Adrian Popescu, Ioannis Kanellos:
Initial Classifier Weights Replay for Memoryless Class Incremental Learning. - Liliane Momeni, Triantafyllos Afouras, Themos Stafylakis, Samuel Albanie, Andrew Zisserman:
Seeing wake words: Audio-visual Keyword Spotting. - Tobias Ringwald, Rainer Stiefelhagen:
Unsupervised Domain Adaptation by Uncertain Feature Alignment. - Youshan Zhang:
Bayesian Geodesic Regression on Riemannian Manifolds. - Zhiming Zou, Kenkun Liu, Le Wang, Wei Tang:
High-order Graph Convolutional Networks for 3D Human Pose Estimation. - Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Wei-Chen Chiu:
Boosting Image and Video Compression via Learning Latent Residual Patterns. - Zechao Hu, Adrian G. Bors:
Conditional Attention for Content-based Image Retrieval. - Sri Aurobindo Munagala, Ameya Prabhu, Anoop M. Namboodiri:
STQ-Nets: Unifying Network Binarization and Structured Pruning. - Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi:
Attribute Adaptive Margin Softmax Loss using Privileged Information. - Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai Nguyen:
Attentive Action and Context Factorization.
Oral Session 3: Segmentation
- Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister, Michael Moeller:
Fast Convex Relaxations using Graph Discretizations. - Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. - Sadeep Jayasumana, Kanchana Ranasinghe, Sahan Liyanaarachchi, Mayuka Jayawardhana, Harsha Ranasinghe, Sina Samangooei:
Bipartite Conditional Random Fields for Panoptic Segmentation. - Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee:
Delving Deeper into Anti-aliasing in ConvNets.
Oral Session 4: Shape-from-X / 3D Reconstruction
- Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla:
A CNN Based Approach for the Near-Field Photometric Stereo Problem. - Adrian Lopez Rodriguez, Krystian Mikolajczyk:
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency. - Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang:
Visibility-aware Multi-view Stereo Network. - Wei Zeng, Sezer Karaoglu, Theo Gevers:
Pano2Scene: 3D Indoor Semantic Scene Reconstruction from a Single Indoor Panorama Image. - Zirui Wang, Victor Prisacariu:
Neighbourhood-Insensitive Point Cloud Normal Estimation Network.
Poster Session 2
- Laurent Dillard, Yosuke Shinya, Taiji Suzuki:
Domain Adaptation Regularization for Spectral Pruning. - Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. - Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson:
A Simple and Scalable Shape Representation for 3D Reconstruction. - Joonhyuk Kim, Inug Yoon, Gyeong-Moon Park, Jong-Hwan Kim:
Non-Probabilistic Cosine Similarity Loss for Few-Shot Image Classification. - Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs:
Improved Trainable Calibration Method for Neural Networks. - Dipan K. Pal, Sreena Nallamothu, Marios Savvides:
Towards a Hypothesis on Visual Transformation based Self-Supervision. - Lucas Brynte, Fredrik Kahl:
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors. - Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
Zero-Shot Domain Generalization. - David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. - Shaoqi Li, Wenfeng Song, Shuai Li, Aimin Hao, Hong Qin:
Meta-RetinaNet for Few-shot Object Detection. - Abhay Kumar Yadav, Tom Goldstein, David W. Jacobs:
Making L-BFGS Work with Industrial-Strength Nets. - Madan Ravi Ganesh, Jason J. Corso:
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation. - Farshid Rayhan, Aphrodite Galata, Timothy F. Cootes:
Not all points are created equal - an anisotropic cost function for facial landmark location. - Xiahan Shi, Leonard Salewski, Martin Schiegg, Max Welling:
Relational Generalized Few-Shot Learning. - Mayu Otani
, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. - Jisan Mahmud, Rajat Vikram Singh, Peri Akiva, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm:
ViewSynth: Learning Local Features from Depth using View Synthesis. - Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney:
Domain Adaptation of Learned Featuresfor Visual Localization. - Md. Atiqur Rahman, Robert Laganière:
Mid-level Fusion for End-to-End Temporal Activity Detection in Untrimmed Video. - Qing Jin, Linjie Yang, Zhenyu Liao, Xiaoning Qian:
Neural Network Quantization with Scale-Adjusted Training. - Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere:
Branched Multi-Task Networks: Deciding what layers to share. - Alexander Wolpert, Michael Teutsch, M. Saquib Sarfraz, Rainer Stiefelhagen:
Anchor-free Small-scale Multispectral Pedestrian Detection. - Kewen Wang, Xilin Chen:
PMD-Net: Privileged Modality Distillation Network for 3D Hand Pose Estimation from a Single RGB Image. - Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. - Zhenyu Li, Ning Li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong:
Superpixel Masking and Inpainting for Self-Supervised Anomaly Detection. - Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Maragos:
From Saturation to Zero-Shot Visual Relationship Detection Using Local Context. - Sanghyun Woo, Dahun Kim, KwanYong Park, Joon-Young Lee, In So Kweon:
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting. - John Brennan Peace, Eric Psota, Yanfeng Liu, Lance C. Pérez:
E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers. - Luigi Musto, Andrea Zinelli:
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. - Weidi Xie, Jeffrey Byrne, Andrew Zisserman:
Inducing Predictive Uncertainty Estimation for Face Verification. - Mingshuang Luo, Shuang Yang, Xilin Chen, Zitao Liu, Shiguang Shan:
Synchronous Bidirectional Learning for Multilingual Lip Reading. - Diganta Misra:
Mish: A Self Regularized Non-Monotonic Activation Function. - Soumajit Majumder, Abhinav Rai, Ansh Khurana, Angela Yao:
Two-in-One Refinement for Interactive Segmentation. - Shuyu Lin, Ronald Clark:
LaDDer: Latent Data Distribution Modelling with a Generative Prior. - Duong H. Le, Vo Trung Nhan, Nam Thoai:
Paying more Attention to Snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation. - Peike Li, Xuanyi Dong, Xin Yu, Yi Yang:
When Humans Meet Machines: Towards Efficient Segmentation Networks. - Mohit Lamba, Atul Balaji, Kaushik Mitra:
Towards Fast and Light-Weight Restoration of Dark Images. - Dichao Liu, Yu Wang, Jien Kato, Kenji Mase:
Contrastively-reinforced Attention Convolutional Neural Network for Fine-grained Image Recognition. - Jun Wang, Shaoguo Wen, Jianghua Yu, Kaixing Chen, Xin Zhou, Peng Gao, Guotong Xie, Changsheng Li:
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. - Dipan K. Pal, Akshay Chawla, Marios Savvides:
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes.
Oral Session 5: Computational Photography
- Kunyuan Li, Jun Zhang, Rui Sun, Xudong Zhang, Jun Gao:
EPI-based Oriented Relation Networks for Light Field Depth Estimation. - Shachar Ben Dayan, David Mendlovic, Raja Giryes:
Deep Sparse Light Field Refocusing. - William Chamorro, Juan Andrade-Cetto, Joan Solà:
High-speed event-based camera tracking. - Jeffrey Byrne, Brian DeCann, Scott Bloom:
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors.
Oral Session 6: Zero/Few Shot Learning
- Xianghui Yang, Bairun Wang, Xinchi Zhou, Kaige Chen, Shuai Yi, Wanli Ouyang, Luping Zhou:
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation. - He Huang, Wei Tang, Philip S. Yu, Yuanwei Chen, Wenhao Zheng, Qing-Guo Chen:
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge. - Zhen Liu, Baochang Zhang, Guodong Guo:
Few-Shot Learning with Complex-valued Neural Networks. - Meixue Huang, Dayan Wu, Wanqian Zhang, Zhi Xiong, Bo Li, Weiping Wang:
Marginalized Graph Attention Hashing for Zero-Shot Image Retrieval.
Poster Session 3
- Hoang-An Le, Thomas Mensink, Partha Das, Theo Gevers:
Novel View Synthesis from Single Images via Point Cloud Transformation. - Ke Ma, Bo Zhao, Leonid Sigal:
Attribute-Guided Image Generation from Layout. - Dor Bank, Raja Giryes:
An ETF view of Dropout regularization. - Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf:
Tripping through time: Efficient Localization of Activities in Videos. - Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara:
ALBA: Reinforcement Learning for Video Object Segmentation. - Yangyuxuan Kang, Anbang Yao, Shandong Wang, Ming Lu, Yurong Chen, Enhua Wu:
Explicit Residual Descent for 3D Human Pose Estimation from 2D Joint Locations. - Ben Saunders, Richard Bowden, Necati Cihan Camgöz:
Adversarial Training for Multi-Channel Sign Language Production. - S. Alireza Golestaneh, Kris Kitani:
Importance of Self-Consistency in Active Learning for Semantic Segmentation. - Manh Huynh, Gita Alaghband:
AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes. - Yushi Lan, Yuan Liu, Xinchi Zhou, Maoqing Tian, Xuesen Zhang, Shuai Yi, Hongsheng Li:
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identification. - Manoj Acharya, Tyler L. Hayes, Christopher Kanan:
RODEO: Replay for Online Object Detection. - Shantanu Jaiswal, Dongkyu Choi, Basura Fernando:
What do CNNs gain by imitating the visual development of primate infants? - Haoran Duan, Shidong Wang, Yu Guan:
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting. - Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu:
CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation. - Bharti Munjal, Sikandar Amin, Fabio Galasso:
Class Interference Regularization. - Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen:
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models. - Sonaal Kant:
Learning Gaussian Maps for Dense Object Detection. - Kunyuan Du, Ya Zhang, Haibing Guan:
From Quantized DNNs to Quantizable DNNs. - Takashi Isobe, Fang Zhu, Shengjin Wang:
Revisiting Temporal Modeling for Video Super-resolution.