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ORCID32nd BMVC 2021: Online
- 32nd British Machine Vision Conference 2021, BMVC 2021, Online, November 22-25, 2021. BMVA Press 2021
Oral Session 1: Multimodal Learning
- Rudrabha Mukhopadhyay, Sindhu B. Hegde, Vinay P. Namboodiri, C. V. Jawahar:
Audio-Visual Speech Super-Resolution. 0 - Rishabh Garg, Ruohan Gao, Kristen Grauman:
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video. 1 - Vladimir Iashin, Esa Rahtu:
Taming Visually Guided Sound Generation. 2 - Youshan Zhang, Brian D. Davison:
Deep Least Squares Alignment for Unsupervised Domain Adaptation. 3 - Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang:
Domain Attention Consistency for Multi-Source Domain Adaptation. 4
Oral Session 2: 3D
- Alexander Raistrick, Nilesh Kulkarni, David Fouhey:
Collision Replay: What Does Bumping Into Things Tell You About Scene Geometry? 5 - Antonin Sulc, Imari Sato, Bastian Goldluecke, Tali Treibitz:
Towards Monocular Shape from Refraction. 6 - Himangi Mittal, Brian Okorn, Arpit Jangid, David Held:
Self-Supervised Point Cloud Completion via Inpainting. 7 - Fei Yang, Huan Wang, Zhong Jin:
Adaptive GMM Convolution for Point Cloud Learning. 8 - Peng Xu, Na Jiang, Jun Li, Zhiping Shi:
Learning Attention Map for 3D Human Recovery from a Single RGB Image. 9
Poster Session 1
- Wonyoung Lee, Minsong Ki, Cheolhyun Mun, Sungpil Kho, Hyeran Byun:
Foreground Mining via Contrastive Guidance for Weakly Supervised Object Localization. 10 - Yi-Lun Lee, Yen-Chung Chen, Min-Yuan Tseng, Yi-Hsuan Tsai, Wei-Chen Chiu:
Learning to Hide Residual for Boosting Image Compression. 11 - Ntumba Elie Nsampi, Zhongyun Hu
, Qing Wang:
Learning Exposure Correction Via Consistency Modeling. 12 - Shang Li, Guixuan Zhang, Zhengxiong Luo, Jie Liu, Zhi Zeng, Shuwu Zhang:
Approaching the Limit of Image Rescaling via Flow Guidance. 13 - Xinmiao Lin, Wentao Bao, Matthew K. Wright, Yu Kong:
Gradient Frequency Modulation for Visually Explaining Video Understanding Models. 14 - Mahmoud Afifi, Abdullah Abuolaim:
Semi-Supervised Raw-to-Raw Mapping. 15 - Yang Hong, Kaixuan Wei, Linwei Chen, Ying Fu:
Crafting Object Detection in Very Low Light. 16 - Mats L. Richter, Justin Shenk, Wolf Byttner, Anna Wiedenroth, Mikael Huss:
Feature Space Saturation during Training. 17 - Zuyuan Zhong, Chen Liu, Yanwei Fu:
Adaptive End-to-End Budgeted Network Learning via Inverse Scale Space. 18 - Jiehua Zhang, Zhuo Su, Li Liu:
Median Pixel Difference Convolutional Network for Robust Face Recognition. 19 - JoonKyu Park, Seungjun Nah, Kyoung Mu Lee:
Recurrence-in-Recurrence Networks for Video Deblurring. 20 - Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Yong Xia, Olivier Déforges, Wassim Hamidouche, Lu Zhang:
Learning Synergistic Attention for Light Field Salient Object Detection. 21 - Yuzhen Ding, Nupur Thakur, Baoxin Li:
Does a GAN leave distinct model-specific fingerprints? 22 - Shuchang Lyu, Qi Zhao, Yujing Ma, Lijiang Chen:
Make Baseline Model Stronger: Embedded Knowledge Distillation in Weight-Sharing Based Ensemble Network. 23 - Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard:
FAR: A General Framework for Attributional Robustness. 24 - Philipp Benz, Soomin Ham, Chaoning Zhang, Adil Karjauv, In So Kweon:
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs. 25 - Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
PDF-Distil: including Prediction Disagreements in Feature-based Distillation for object detection. 26 - Damian Kaliroff, Guy Gilboa:
PhIT-Net: Photo-consistent Image Transform for Robust Illumination Invariant Matching. 27 - Nao Mishima, Akihito Seki, Shinsaku Hiura:
Absolute Scale from Varifocal Monocular Camera through SfM and Defocus Combined. 28 - Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim:
Deep Motion Blind Video Stabilization. 29 - Satoshi Ikehata:
PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism. 30 - Yu Gong, Ye Yu, Gaurav Mittal, Greg Mori, Mei Chen:
MUSE: Feature Self-Distillation with Mutual Information and Self-Information. 31 - Xiao Wang, Siyuan Yao, Pengwen Dai, Rui Wang, Xiaochun Cao:
Updated Paired Regions for Shadow Detection from Single Image. 32 - Zhiqiang Liu, Yanxia Liu, Chengkai Huang:
Semi-Online Knowledge Distillation. 33 - Shizun Wang, Ming Lu, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Chuang Zhang, Ming Wu:
SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution. 34 - Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. 35 - Sheng Xu, Junhe Zhao, Yanjing Li, Baochang Zhang, Guodong Guo:
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. 36 - Vinnam Kim, Hyunsouk Cho, Sehee Chung:
One-Step Pixel-Level Perturbation-Based Saliency Detector. 37 - Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
Rethinking Clustering for Robustness. 38 - Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang:
Inter-intra Variant Dual Representations for Self-supervised Video Recognition. 39 - Wei-Ting Chen, Cheng-Che Tsai, Hao-Yu Fang, I-Hsiang Chen, Jian-Jiun Ding, Sy-Yen Kuo:
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Representation and Hierarchical Decomposition. 40 - Hong Cai, Janarbek Matai, Shubhankar Borse, Yizhe Zhang, Amin Ansari, Fatih Porikli:
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation. 41 - Kai Zhang, Yifan Sun, Rui Wang, Haichang Li, Xiaohui Hu:
Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation. 42 - Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
ECINN: Efficient Counterfactuals from Invertible Neural Networks. 43 - Hyeontae Son, Young Min Kim:
Progressive Growing of Points with Tree-structured Generators. 44 - Mohammad Shafiei, Sai Bi, Zhengqin Li, Aidas Liaudanskas, Rodrigo Ortiz Cayon, Ravi Ramamoorthi:
Learning Neural Transmittance for Efficient Rendering of Reflectance Fields. 45 - Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin:
Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. 46 - Numair Khan, Min H. Kim, James Tompkin:
Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields. 47 - Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung:
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. 48 - Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka:
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. 49 - Hang Cheng, Shugong Xu, Xiufeng Jiang, Rongrong Wang:
Deep Image Matting with Flexible Guidance Input. 50 - Yi-Li Huang, Chengyu Gu, Shilin Wang, Zheng Huang, Kai Chen:
Spatial Aggregation for Scene Text Recognition. 51 - Jun-Hong Huang, Hai-Kun Wang, Zhi-Wu Liao:
SIR-SRGAN: Super-Resolution Generative Adversarial Networks with Self-Interpolation Ranker. 52 - Juan Borrego-Carazo, Mete Ozay, Frederik Laboyrie, Paul Wisbey:
A Mixed Quantization Network for Efficient Mobile Inverse Tone Mapping. 53 - Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Simpler Does It: Generating Semantic Labels with Objectness Guidance. 54 - Peiye Zhuang, Denis Demandolx, Ayush Saraf, Xuejian Rong, Changil Kim, Jia-Bin Huang:
AMICO: Amodal Instance Composition. 55 - Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa:
Noisy Annotation Refinement for Object Detection. 56 - Kyuwon Kim, Chulju Yang:
Quality Level Prediction of Image Compression using Block-wise Confidence-aware CNN. 57 - Shaiq Munir Malik, Fnu Mohbat, Muhammad Umair Haider, Muhammad Musab Rasheed, Murtaza Taj:
Teacher-Class Network: A Neural Network Compression Mechanism. 58 - Chen Lin, Zheyang Li, Bo Peng, Wenming Tan, Ye Ren, Shiliang Pu:
UWC: Unit-wise Calibration Towards Rapid Network Compression. 59 - Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele:
Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. 60 - Ying Nie, Kai Han, Yunhe Wang:
Multi-bit Adaptive Distillation for Binary Neural Networks. 61 - Kohei Yamamichi, Xian-Hua Han:
Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation. 62 - Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon:
Global Context and Geometric Priors for Effective Non-Local Self-Attention. 63 - Roberto Mecca, Fotios Logothetis, Ignas Budvytis, Roberto Cipolla:
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo. 64 - Gaurav Kumar Nayak, Monish Keswani, Sharan Seshadri, Anirban Chakraborty:
Beyond Classification: Knowledge Distillation using Multi-Object Impressions. 65 - Mohan Chen, Xinxuan Zhao, Bingfei Fu, Li Zhang, Xiangyang Xue:
Rethinking local and global feature representation for semantic segmentation. 66 - Lu Xiong, Xia Jia, Yue Ming, Jiangwan Zhou, Fan Feng, Nannan Hu:
Faster-FCoViAR: Faster Frequency-Domain Compressed Video Action Recognition. 67 - Daniel Pototzky, Matthias Kirschner, Azhar Sultan, Lars Schmidt-Thieme:
Training Object Detectors if Only Large Objects are Labeled. 68 - Paras Kapoor, Tien D. Bui:
TinyStarGAN v2: Distilling StarGAN v2 for Efficient Diverse Image Synthesis for Multiple Domains. 69 - S. M. A. Sharif, Rizwan Ali Naqvi, Mithun Biswas:
SAGAN: Adversarial Spatial-asymmetric Attention for Noisy Nona-Bayer Reconstruction. 70 - Yi-Ling Liu, Alessio Lomuscio:
Robustness Learning via Decision Tree Search Robust Optimisation. 71 - Bharat Bhusan Sau, Soumya Roy, Vinay P. Namboodiri, Raghu Sesha Iyengar:
Deep Knowledge Distillation using Trainable Dense Attention. 72 - Morteza Rezanejad, Sidharth Gupta, Chandra Gummaluru, Ryan Marten, John Wilder, Michael Gruninger, Dirk B. Walther:
Contour-guided Image Completion with Perceptual Grouping. 73 - Hazarapet Tunanyan:
C4Net: Contextual Compression and Complementary Combination Network for Salient Object Detection. 74 - Ekta Prashnani, Orazio Gallo, Joohwan Kim, Josef B. Spjut, Pradeep Sen, Iuri Frosio:
Noise-Aware Video Saliency Prediction. 75 - Igor Morawski, Yu-An Chen, Yu-Sheng Lin, Winston H. Hsu:
NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset. 76 - K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. 77 - Changho Jo, Woobin Im, Sung-Eui Yoon:
In-N-Out: Towards Good Initialization for Inpainting and Outpainting. 78 - Yi Xie, Hanxiao Wu, Fei Shen, Jianqing Zhu, Huanqiang Zeng:
Object Re-identification Using Teacher-Like and Light Students. 79 - Ziwen Li, Yuehuan Wang, Ruowang Chang:
From Under- to Overexposure: Single Image Contrast Enhancement via Semi-Supervised Learning. 80 - Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Multi-Exit Vision Transformer for Dynamic Inference. 81 - Nikolina Kubiak, Armin Mustafa, Graeme Phillipson, Stephen Jolly, Simon Hadfield:
SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition. 82 - Davide Abati, Amir Ghodrati, Amirhossein Habibian:
Efficient Video Super Resolution by Gated Local Self Attention. 83 - Leonhard Helminger, Roberto Azevedo, Abdelaziz Djelouah, Markus Gross, Christopher Schroers:
Microdosing: Knowledge Distillation for GAN Based Compression. 84 - Dongsik Yoon, Youngsaeng Jin, Jeong-gi Kwak, Yuanming Li, David K. Han, Hanseok Ko:
Reference Guided Image Inpainting using Facial Attributes. 85 - Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith:
Conditional De-Identification of 3D Magnetic Resonance Images. 86 - Seongyeop Kim, Yong Man Ro:
M-CAM: Visual Explanation of Challenging Conditioned Dataset with Bias-reducing Memory. 87 - Lixiong Chen, Victor Adrian Prisacariu:
A Design of Contractive Appearance Flow for Photometric Stereo. 88 - Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel:
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN. 89 - Avinav Goel, Manoj Kumar, Pavan Sudheendra:
IamAlpha: Instant and Adaptive Mobile Network for Alpha Matting. 90 - Ye Qian, Long Chen, Feng Su:
An Adaptive Rectification Model for Arbitrary-Shaped Scene Text Recognition. 91 - Sai Shyam Chanduri, Igor Vozniak, Zeeshan Khan Suri:
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters. 92 - Asya Grechka, Jean-François Goudou, Matthieu Cord:
MAGECally invert images for realistic editing. 93 - Jia Bi, Jonathon S. Hare, Geoff V. Merrett:
GhostShiftAddNet: More Features from Energy-Efficient Operations. 94 - Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, Kyung-Soo Kim:
Lightweight HDR Camera ISP for Robust Perception in Dynamic Illumination Conditions via Fourier Adversarial Networks. 95 - Jeong-gi Kwak, Youngsaeng Jin, Yuanming Li, Dongsik Yoon, Donghyeon Kim, Hanseok Ko:
Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN. 96 - Kyungdeuk Ko, Bokyeung Lee, Jonghwan Hong, David K. Han, Hanseok Ko:
Deep Degradation Prior for Real-World Super-Resolution. 97 - George Retsinas, Giorgos Sfikas, Christophoros Nikou, Petros Maragos:
From Seq2Seq Recognition to Handwritten Word Embeddings. 98 - Shimon Nakaune, Satoshi Iizuka, Kazuhiro Fukui:
Skeleton-aware Text Image Super-Resolution. 99 - Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen:
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation. 100 - Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni:
Sparse Adversarial Video Attacks with Spatial Transformations. 101 - Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner:
Corrosion Image Data Set for Automating Scientific Assessment of Materials. 102 - Etienne Meunier, Patrick Bouthemy:
Unsupervised computation of salient motion maps from the interpretation of a frame-based classification network. 103 - Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj:
Robust channel-wise illumination estimation. 104 - Loris Giulivi, Mark J. Carman, Giacomo Boracchi:
Perception Visualization: Seeing Through The Eyes Of a DNN. 105 - Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg:
Mitigating Reverse Engineering Attacks on Local Feature Descriptors. 106 - Zejiang Hou, Sun-Yuan Kung:
Parameter Efficient Dynamic Convolution via Tensor Decomposition. 107 - Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun:
Self-Validation: Early Stopping for Single-Instance Deep Generative Priors. 108
Oral Session 3: Action Recognition
- Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz:
Hierarchical Contrastive Motion Learning for Video Action Recognition. 109 - Gorjan Radevski, Marie-Francine Moens, Tinne Tuytelaars:
Revisiting spatio-temporal layouts for compositional action recognition. 110 - Khoa Vo, Hyekang Joo, Kashu Yamazaki, Sang Truong, Kris Kitani, Minh-Triet Tran, Ngan Le:
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation. 111 - Giancarlo Paoletti, Jacopo Cavazza, Cigdem Beyan, Alessio Del Bue:
Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance. 112 - Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition. 113
Oral Session 4: Recognition
- Xile Shen, Zongqing Lu, Youcheng Zhang, Jing-Hao Xue:
Lane Line Detection based on Parallel Spatial Separation Convolution. 114 - Madhu Kiran, Gnana Praveen Rajasekhar, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger:
Holistic Guidance for Occluded Person Re-Identification. 115 - Chaitra Jambigi, Ruchit Rawal, Anirban Chakraborty:
MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID. 116 - Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. 117 - Niels Leadholm, Marcus Lewis, Subutai Ahmad:
Grid Cell Path Integration For Movement-Based Visual Object Recognition. 118
Poster Session 2
- Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer:
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. 119 - Jonghyun Kim, Gen Li, Cheolkon Jung, Joongkyu Kim:
SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder. 120 - Tobias Ringwald, Rainer Stiefelhagen:
UBR²S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation. 121 - Amin Banitalebi-Dehkordi, Yong Zhang:
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. 122 - Vivien Sainte Fare Garnot, Loïc Landrieu:
Leveraging Class Hierarchies with Metric-Guided Prototype Learning. 123 - Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Measuring the Biases and Effectiveness of Content-Style Disentanglement. 124 - Yao-Hui Huang, Jun-Wei Hsieh, Ming-Ching Chang, Lipeng Ke, Siwei Lyu, Arpita Samanta Santra:
Multi-Teacher Single-Student Visual Transformer with Multi-Level Attention for Face Spoofing Detection. 125 - Linglan Zhao, Dashan Guo, Yunlu Xu, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Xiangzhong Fang:
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning. 126 - Dong-Jin Kim, Jae-Won Cho, Jinsoo Choi, Yunjae Jung, In So Kweon:
Single-Modal Entropy based Active Learning for Visual Question Answering. 127 - Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng:
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. 128