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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 - Jong-Chyi Su, Subhransu Maji:
Semi-Supervised Learning with Taxonomic Labels. 129 - William Thong, Cees Snoek:
Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias. 130 - Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. 131 - Dubok Park:
Two-directional Image Retargeting with Region-Aware Texture Enhancement. 132 - Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Yiming Zeng, Xiaowei Li:
DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search. 133 - Sungwon Hwang, Hyungtae Lim, Hyun Myung:
Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network. 134 - David Marwood, Shumeet Baluja:
Contextual Convolution Blocks. 135 - Wenjie Chang, Yueyi Zhang, Zhiwei Xiong:
Transformer-based Monocular Depth Estimation with Attention Supervision. 136 - Samrudhdhi B. Rangrej, James J. Clark:
A Probabilistic Hard Attention Model For Sequentially Observed Scenes. 137 - Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman:
Mitigating Bias in Visual Transformers via Targeted Alignment. 138 - Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
Rethinking Token-Mixing MLP for MLP-based Vision Backbone. 139 - Chaoqin Huang, Fei Ye, Peisen Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
ESAD: End-to-end Semi-supervised Anomaly Detection. 140 - Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille:
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. 141 - Sia Huat Tan, Runpei Dong, Kaisheng Ma:
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. 142 - Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman:
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. 143 - Bo Zhang, Li Niu, Liqing Zhang:
Image Composition Assessment with Saliency-augmented Multi-pattern Pooling. 144 - Jiachen Sun, Karl Koenig, Yulong Cao, Qi Alfred Chen, Zhuoqing Morley Mao:
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks. 145 - Xinyu Yang, Majid Mirmehdi, Tilo Burghardt:
Back to the Future: Cycle Encoding Prediction for Self-supervised Video Representation Learning. 146 - Haojian Zhang, Yabin Zhang, Kui Jia, Lei Zhang:
Unsupervised Domain Adaptation of Black-Box Source Models. 147 - Chang Nie, Huan Wang, Le Tian:
Adaptive Tensor Networks Decomposition. 148 - Ziyun Cai, Tengfei Zhang, Xiao-Yuan Jing, Ling Shao:
Grand Unified Domain Adaptation. 149 - Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci:
Human Attention in Fine-grained Classification. 150 - Xiaotian Yu, Zunlei Feng, Yuexuan Wang, Thomas Kwok To Li, Xiuming Zhang, Mingli Song:
Tendentious Noise-rectifying Framework for Pathological HCC Grading. 151 - Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-Shot Learning. 152 - Emanuela Haller, Elena Burceanu, Marius Leordeanu:
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift. 153 - Hui Ye, Xiulong Yang, Martin Takác, Rajshekhar Sunderraman, Shihao Ji:
Improving Text-to-Image Synthesis Using Contrastive Learning. 154 - Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo:
Prototype-based Incremental Few-Shot Segmentation. 155 - Xiang Li, Shihao Ji:
Generative Dynamic Patch Attack. 156 - Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
EBJR: Energy-Based Joint Reasoning for Adaptive Inference. 157 - Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao:
Robust Semantic Segmentation with Superpixel-Mix. 158 - Thomas Hartley, Kirill A. Sidorov, Christopher Willis, A. David Marshall:
Jitter-CAM: Improving the Spatial Resolution of CAM-Based Explanations. 159 - Jianbo Jiao, João F. Henriques:
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks. 160 - Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou:
Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue. 161 - Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon:
Variance-stationary Differentiable NAS. 162 - Yingying Jiang, Zhuoxin Gan, Ke Lin, Yong A:
AttNAS: Searching Attentions for Lightweight Semantic Segmentation. 163 - Yiwen Li, Gratianus Wesley Putra Data, Yunguan Fu, Yipeng Hu, Victor Adrian Prisacariu:
Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes. 164 - Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. 165 - Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak:
Learning to Generate Novel Classes for Deep Metric Learning. 166 - Faegheh Sardari, Björn Ommer, Majid Mirmehdi:
Unsupervised View-Invariant Human Posture Representation. 167 - Gianmarco J. Gallardo, Tyler L. Hayes, Christopher Kanan:
Self-Supervised Training Enhances Online Continual Learning. 168 - S. Divakar Bhat, Biplab Banerjee, Subhasis Chaudhuri:
SemGIF: A Semantics Guided Incremental Few-shot Learning Framework with Generative Replay. 169 - Jun Wang, Xiaohan Yu, Yongsheng Gao:
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization. 170 - Marin Scalbert, Florent Couzinié-Devy, Maria Vakalopoulou:
Multi-Source Domain Adaptation via supervised contrastive learning and confident consistency regularization. 171 - Duo Wang, Salah Karout:
Fine-grained Multi-Modal Self-Supervised Learning. 172 - Hao Ni, Shujian Liao, Weixin Yang, Kevin Schlegel, Terry J. Lyons:
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition. 173 - Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi:
CvS: Classification via Segmentation For Small Datasets. 174 - Shubhankar Borse, Hong Cai, Yizhe Zhang, Fatih Porikli:
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. 175 - Muhammad Haris Khan, Syed Muhammad talha Zaidi, Salman Khan, Fahad Shahbaz Khan:
Mode-Guided Feature Augmentation for Domain Generalization. 176 - Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. 177 - Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris Kitani:
Neighborhood-Aware Neural Architecture Search. 178 - Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. 179 - Wei-Ta Chu, Wei-Ting Cao:
Multi-Class Novelty Detection with Generated Hard Novel Features. 180 - Aakash Saboo, Prashnna K. Gyawali, Ankit Shukla, Manoj Sharma, Neeraj Jain, Linwei Wang:
Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation. 181 - Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. 182 - Rui Zeng, Jingsong He:
Grouping Bilinear Pooling. 183 - Shuyuan Li, Huabin Liu, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin:
Temporal Alignment via Event Boundary for Few-shot Action Recongnition. 184 - Shentong Mo, Zhun Sun, Chao Li:
Siamese Prototypical Contrastive Learning. 185 - Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci:
SPARROW: Semantically Coherent Prototypes for Image Classification. 186 - Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. 187 - Gaurav Kumar Nayak, Het Shah, Anirban Chakraborty:
Incremental Learning for Animal Pose Estimation using RBF k-DPP. 188 - Fengyi Shen, Akhil Gurram, Ahmet Faruk Tuna, Onay Urfalioglu, Alois C. Knoll:
TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation. 189 - Wei Yuen Teh, Ian Tan:
Coloured Edge Maps for Oil Palm Ripeness Classification. 190 - Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
SLURP: Side Learning Uncertainty for Regression Problems. 191 - David Mohlin, Gérald Bianchi, Josephine Sullivan:
Probabilistic Regression with Huber Distributions. 192 - Yang Sun, Abhishek Kolagunda, Steven Eliuk, Xiaolong Wang:
Training Better Deep Neural Networks with Uncertainty Mining Net. 193 - Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi:
Mini-batch Similarity Graphs for Robust Image Classification. 194 - Shubhang Bhatnagar, Sachin Goyal, Darshan Tank, Amit Sethi:
PAL : Pretext-based Active Learning. 195 - Uche Osahor, Nasser M. Nasrabadi:
Quality Map Fusion for Adversarial Learning. 196 - Eui Jun Hwang, Jung-Ho Kim, Jong C. Park:
Non-Autoregressive Sign Language Production with Gaussian Space. 197 - Yan Hao, Yuhong Guo, Chunsheng Yang:
Source-free Unsupervised Domain Adaptation with Surrogate Data Generation. 198 - Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez:
Evolving Image Compositions for Feature Representation Learning. 199 - Bor-Shiun Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Lipeng Ke, Siwei Lyu:
Learnable Discrete Wavelet Pooling (LDW-Pooling) for Convolutional Networks. 200 - Houssem-eddine Boulahbal, Adrian Voicila, Andrew I. Comport:
Are conditional GANs explicitly conditional? 201 - Patrick Henriksen, Kerstin Hammernik, Daniel Rueckert, Alessio Lomuscio:
Bias Field Robustness Verification of Large Neural Image Classifiers. 202 - Yusuf Tas, Piotr Koniusz:
Simple Dialogue System with AUDITED. 203 - Hichem Sahbi, Haoming Zhan:
FFNB: Forgetting-Free Neural Blocks for Deep Continual Learning. 204 - Ángel López García-Arias, Masanori Hashimoto, Masato Motomura, Jaehoon Yu:
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks. 205 - Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana:
A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones. 206 - Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. 207 - Jun Shao, Tien Bui:
WP2-GAN: Wavelet-based Multi-level GAN for Progressive Facial Expression Translation with Parallel Generators. 208 - Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp:
OODformer: Out-Of-Distribution Detection Transformer. 209 - Nikhil Saldanha, Silvia-Laura Pintea, Jan C. van Gemert, Nergis Tomen:
Frequency learning for structured CNN filters with Gaussian fractional derivatives. 210 - Yu Zhang, Gongbo Liang, Nathan Jacobs:
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. 211 - Mengyu Liu, Hujun Yin:
Dual Graph-Based Context Aggregation for Scene Parsing. 212 - Selina J. Khan, Nanne van Noord:
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints. 213 - Alfred Laugros, Alice Caplier, Matthieu Ospici:
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts. 214 - Minh On Vu Ngoc, Yizi Chen, Nicolas Boutry, Joseph Chazalon, Edwin Carlinet, Clément Mallet, Thierry Géraud:
Introducing the Boundary-Aware loss for deep image segmentation. 215 - Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning to ignore: rethinking attention in CNNs. 216 - Xiangxiang Chu, Bo Zhang:
Noisy Differentiable Architecture Search. 217
Oral Session 5: Synthesis / Analysis
- Bin Ren, Hao Tang, Nicu Sebe:
Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation. 218 - Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo:
HairFIT: Pose-invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-region-aware Inpainting. 219 - Gereon Fox, Ayush Tewari, Mohamed Elgharib, Christian Theobalt:
StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN. 220 - Chi Wang, Yang Hua, Zheng Lu, Jian Gao, Neil Robertson:
Temporal Meta-Adaptor for Video Object Detection. 221 - James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
Tensor Component Analysis for Interpreting the Latent Space of GANs. 222
Oral Session 6: Recognition
- Yanda Meng, Hongrun Zhang, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Xuesheng Qian, Xiaowei Huang, Yalin Zheng:
BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation. 223 - Rui Dai, Srijan Das, François Brémond:
CTRN: Class-Temporal Relational Network for Action Detection. 224 - Ren Li, Srikrishna Karanam, Meng Zheng, Terrence Chen, Ziyan Wu:
Everybody Is Unique: Towards Unbiased Human Mesh Recovery. 225 - Minghang Zheng, Peng Gao, Renrui Zhang, Kunchang Li, Hongsheng Li, Hao Dong:
End-to-End Object Detection with Adaptive Clustering Transformer. 226 - Evangelos Sartinas, Emmanouil Z. Psarakis, Klimis Antzakas, Dimitrios I. Kosmopoulos:
A 2-D Wrist Motion Based Sign Language Video Summarization. 227
Poster Session 3
- Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. 228 - Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. 229 - Mert Kilickaya, Arnold W. M. Smeulders:
Human-object Interaction Detection without Alignment Supervision. 230 - Hala Lamdouar, Weidi Xie, Andrew Zisserman:
Segmenting Invisible Moving Objects. 231 - Takuma Yagi, Md Tasnimul Hasan, Yoichi Sato:
Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction. 232 - Tailin Chen, Shidong Wang, Desen Zhou, Yu Guan:
LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition. 233 - Zekun Zhang, Farrukh M. Koraishy, Minh Hoai:
Exemplar-Based Early Event Prediction in Video. 234 - Bisheng Wang, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof, Guo Cao:
DRT: Detection Refinement for Multiple Object Tracking. 235 - Fangqiu Yi, Hongyu Wen, Tingting Jiang:
ASFormer: Transformer for Action Segmentation. 236 - Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu:
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark. 237 - Kaili Wang, José Oramas, Tinne Tuytelaars:
MinMaxCAM: Improving object coverage for CAM-based Weakly Supervised Object Localization. 238 - Yaxu Xie, Fangwen Shu, Jason R. Rambach, Alain Pagani, Didier Stricker:
PlaneRecNet: Multi-Task Learning with Cross-Task consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image. 239 - Lijin Yang, Yifei Huang, Yusuke Sugano, Yoichi Sato:
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips. 240 - Shuo Chen, Pascal Mettes, Cees Snoek:
Diagnosing Errors in Video Relation Detectors. 241 - Mingze Yuan, Christian Richardt:
360° Optical Flow using Tangent Images. 242 - Song Yan, Jinyu Yang, Ales Leonardis, Joni-Kristian Kamarainen:
Depth-only Object Tracking. 243 - Vishnu Sanjay Ramiya Srinivasan, Rui Ma, Qiang Tang, Zili Yi, Zhan Xu:
Spatial-Temporal Residual Aggregation for High Resolution Video Inpainting. 244 - Juan-Manuel Pérez-Rúa, Brais Martínez, Xiatian Zhu, Antoine Toisoul, Victor Escorcia, Tao Xiang:
Knowing What, Where and When to Look: Video Action modelling with Attention. 245 - Ricard Durall Lopez, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper:
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. 246 - Hsuan-I Ho, Xu Chen, Jie Song, Otmar Hilliges:
Render In-between: Motion Guided Video Synthesis for Action Interpolation. 247 - Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Zhoujun Li:
Towards Overcoming False Positives in Visual Relationship Detection. 248 - Xiatian Zhu, Antoine Toisoul, Juan-Manuel Pérez-Rúa, Li Zhang, Brais Martínez, Tao Xiang:
Few-shot Action Recognition with Prototype-centered Attentive Learning. 249 - Qingsen Yan, Bo Wang, Dong Gong, Dingwen Zhang, Yang Yang, Zheng You, Yanning Zhang, Javen Qinfeng Shi:
A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis. 250 - Zicheng Zhang, Congying Han, Tiande Guo:
ExSinGAN: Learning an Explainable Generative Model from a Single Image. 251 - Sauradip Nag, Xiatian Zhu, Tao Xiang:
Few-Shot Temporal Action Localization with Query Adaptive Transformer. 252 - Julia Gong, F. Christopher Holsinger, Serena Yeung:
FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation. 253 - Zhao Yang, Yansong Tang, Luca Bertinetto, Hengshuang Zhao, Philip H. S. Torr:
Hierarchical Interaction Network for Video Object Segmentation from Referring Expressions. 254 - Sizhe Li, Yapeng Tian, Chenliang Xu:
Space-Time Memory Network for Sounding Object Localization in Videos. 255 - Mai Nishimura, Shohei Nobuhara, Ko Nishino:
View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements. 256 - Alexandra Dana, Maor Shutman, Yotam Perlitz, Ran Vitek, Tomer Peleg, Roy J. Jevnisek:
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations. 257 - Naman Biyani, Aayush Jung Rana, Shruti Vyas, Yogesh S. Rawat:
LARNet: Latent Action Representation for Human Action Synthesis. 258 - Shentong Mo, Jingfei Xia, Xiaoqing Tan, Bhiksha Raj:
Point3D: tracking actions as moving points with 3D CNNs. 259 - Zhengwei Wang, Qi She, Aljosa Smolic:
TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding. 260 - Triantafyllos Afouras, Honglie Chen, Weidi Xie, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Audio-Visual Synchronisation in the wild. 261 - Lanxiao Li, Michael Heizmann:
2.5D-VoteNet: Depth Map based 3D Object Detection for Real-Time Applications. 262 - Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang:
Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? 263 - Zhenhu Zhang, Xueying Qin, Fan Zhong:
MFE: Multi-scale Feature Enhancement for Object Detection. 264 - Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang:
Exploiting Scene Depth for Object Detection with Multimodal Transformers. 265 - Yepeng Liu, Zaiwang Gu, Shenghua Gao, Dong Wang, Yusheng Zeng, Jun Cheng:
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation. 266 - Yifeng Ding, Shuwei Dong, Yujun Tong, Zhanyu Ma, Bo Xiao, Haibin Ling:
Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification. 267 - Evangelos Kazakos, Jaesung Huh, Arsha Nagrani, Andrew Zisserman, Dima Damen:
With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition. 268 - Hao Chen, Abhinav Shrivastava:
HR-RCNN: Hierarchical Relational Reasoning for Object Detection. 269 - Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki:
Move to See Better: Self-Improving Embodied Object Detection. 270 - Hannah Halin Kim, Shuzhi Yu, Carlo Tomasi:
Joint Detection of Motion Boundaries and Occlusions. 271 - Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He:
Boosting Adversarial Transferability through Enhanced Momentum. 272 - Pengpeng Chu, Weize Quan, Tong Wang, Pan Wang, Peiran Ren, Dong-Ming Yan:
Deep Video Decaptioning. 273 - Arthur Jian Shun Lam, JunYi Lim, Ricky Sutopo, Vishnu Monn Baskaran:
Paying Attention to Varying Receptive Fields: Object Detection with Atrous Filters and Vision Transformers. 274 - Younghyun Park, Jun Seo, Jaekyun Moon:
CAFENet: Class-Agnostic Few-Shot Edge Detection Network. 275 - Aishah Alsehaim, Toby P. Breckon:
Re-ID-AR: Improved Person Re-identification in Videovia Joint Weakly Supervised Action Recognition. 276 - Jigyasa Singh Katrolia, Ahmed El-Sherif, Hartmut Feld, Bruno Mirbach, Jason R. Rambach, Didier Stricker:
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset. 277 - Salman Khan, Fabio Cuzzolin:
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection. 278 - Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee:
Learning Not to Reconstruct Anomalies. 279 - Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu:
Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. 280 - Carlo Bretti, Pascal Mettes:
Zero-Shot Action Recognition from Diverse Object-Scene Compositions. 281 - Junhyeong Cho, Youngseok Yoon, Hyeonjun Lee, Suha Kwak:
Grounded Situation Recognition with Transformers. 282 - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa:
Unsupervised Discovery of Actions in Instructional Videos. 283 - Yuanxin Zhong, Minghan Zhu, Huei Peng:
VIN: Voxel-based Implicit Network for Joint3D Object Detection and Segmentation for Lidars. 284 - Jaehoon Cho, Jiyoung Lee, Changjae Oh, Wonil Song, Kwanghoon Sohn:
Wide and Narrow: Video Prediction from Context and Motion. 285 - Haotong Zhang, Fuhai Chen, Angela Yao:
Weakly-Supervised Dense Action Anticipation. 286 - Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu:
Quantum Unsupervised Domain Adaptation: Does Entanglement Help? 287 - Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro:
A cappella: Audio-visual Singing Voice Separation. 288 - Junyan Wang, Yang Long, Maurice Pagnucco, Yang Song:
Dynamic Graph Warping Transformer for Video Alignment. 289 - Wuti Xiong, Yawen Cui, Li Liu:
Semi-Supervised Few-Shot Object Detection with a Teacher-Student Network. 290 - Mohsen Tabejamaat, Farhood Negin, François Brémond:
Guided Flow Field Estimation by Generating Independent Patches. 291 - Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava:
GTA: Global Temporal Attention for Video Action Understanding. 292 - Raghav Goyal, Leonid Sigal:
A Simple Baseline for Weakly-Supervised Human-centric Relation Detection. 293 - Shuhei Tarashima:
One-Shot Deep Model for End-to-End Multi-Person Activity Recognition. 294 - Shi Chen, Qi Zhao:
Attention to Action: Leveraging Attention for Object Navigation. 295 - Huan Zhang, Zhiyi Xu, Xiaolin Han, Weidong Sun:
Refining FFT-based Heatmap for the Detection of Cluster Distributed Targets in Satellite Images. 296 - Wei-Yu Lee, Ljubomir Jovanov, Wilfried Philips:
Semantic-Guided Radar-Vision Fusion for Depth Estimation and Object Detection. 297 - Jinhyung Park, Xinshuo Weng, Yunze Man, Kris Kitani:
Multi-Modality Task Cascade for 3D Object Detection. 298 - Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng:
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. 299 - Arti Keshari, Sonam Gupta, Sukhendu Das:
V3GAN: Decomposing Background, Foreground and Motion for Video Generation. 300 - Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura:
Transferring Domain-Agnostic Knowledge in Video Question Answering. 301 - Abubakar Siddique, Reza Jalil Mozhdehi, Henry Medeiros:
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation. 302 - Hewen Xiao, Yuqiu Kong, Hongchen Tan, Xiuping Liu, Baocai Yin:
Label2im: Knowledge Graph Guided Image Generation from Labels. 303 - Andrés Villa, Juan-Manuel Pérez-Rúa, Vladimir Araujo, Juan Carlos Niebles, Victor Escorcia, Alvaro Soto:
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification. 304 - Thomas Heitzinger, Martin Kampel:
A Foundation for 3D Human Behavior Detection in Privacy-Sensitive Domains. 305 - Guodong Wang, Shumin Han, Errui Ding, Di Huang:
Student-Teacher Feature Pyramid Matching for Anomaly Detection. 306 - Xiang Zhou, Yuan Zeng, Yi Gong:
Image Completion with Adaptive Multi-Temperature Mask-Guided Attention. 307 - Wei Han, Hantao Huang, Xiaoxi Yu:
TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization. 308 - R. Dinesh Jackson Samuel, Fabio Cuzzolin:
SVD-GAN for Real-Time Unsupervised Video Anomaly Detection. 309 - Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce:
Localizing Objects with Self-supervised Transformers and no Labels. 310 - Christian Fruhwirth-Reisinger, Michael Opitz, Horst Possegger, Horst Bischof:
FAST3D: Flow-Aware Self-Training for 3D Object Detectors. 311 - Mihir Jain, Haitam Ben Yahia, Amir Ghodrati, Amirhossein Habibian, Fatih Porikli:
Conditional Model Selection for Efficient Video Understanding. 312 - Ziyi Yin, Ruijin Liu, Zejian Yuan, Zhiliang Xiong:
Order-independent Matching with Shape Similarity for Parking Slot Detection. 313 - Zhibin Xiao, Jing-Hao Xue, Pengwei Xie, Guijin Wang:
FETNet: Feature Exchange Transformer Network for RGB-D Object Detection. 314 - Sanjoy Chowdhury, Aditya Patra, Subhrajyoti Dasgupta, Ujjwal Bhattacharya:
AudViSum: Self-Supervised Deep Reinforcement Learning for Diverse Audio-Visual Summary Generation. 315 - Azade Farshad, Sabrina Musatian, Helisa Dhamo, Nassir Navab:
MIGS: Meta Image Generation from Scene Graphs. 316 - Yubo Cui, Zheng Fang, Jiayao Shan, Zuoxu Gu, Sifan Zhou:
3D Object Tracking with Transformer. 317 - Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic:
Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. 318 - Michal Neoral, Jan Sochman, Jiri Matas:
Monocular Arbitrary Moving Object Discovery and Segmentation. 319 - Zachary Wharton, Ardhendu Behera, Asish Bera:
An attention-driven hierarchical multi-scale representation for visual recognition. 320 - Guande Wu, Jianzhe Peter Lin, Cláudio T. Silva:
ERA: Entity-relationship Aware Video Summarization with Wasserstein GAN. 321 - Mahdiar Nekoui, Li Cheng:
Enhancing Human Motion Assessment by Self-supervised Representation Learning. 322 - Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. 323 - Seyed Mojtaba Marvasti-Zadeh, Javad Khaghani, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei:
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search. 324 - Yijie Zhong, Bo Li, Lv Tang, Hao Tang, Shouhong Ding:
Highly Efficient Natural Image Matting. 325
Oral Session 7: Image Enhancement
- Samu Koskinen, Erman Acar, Joni-Kristian Kamarainen:
Single Pixel Spectral Color Constancy. 326 - K. Ram Prabhakar, Vishal Vinod, Nihar R. Sahoo, Venkatesh Babu Radhakrishnan:
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. 327 - Stacey Levine, Ryan M. Cecil, Marcelo Bertalmío:
Learned Regularizers and Geometry for Image Denoising. 328 - Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Daeshik Kim:
Unsupervised Image Denoising with Frequency Domain Knowledge. 329 - Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, Dietmar Saupe:
KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. 330
Oral Session 8: Representation Learning
- Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem:
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. 331 - Alexis Lechat, Stéphane Herbin, Frédéric Jurie:
Pseudo-Labeling for Class Incremental Learning. 332 - Yusuke Sekikawa, Keisuke Uto:
Learning to Sparsify Differences of Synaptic Signal for Efficient Event Processing. 333 - Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders:
DISCO: accurate Discrete Scale Convolutions. 334 - Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
How Important is Importance Sampling for Deep Budgeted Training? 335
Poster Session 4
- Haoyu Ma, Liangjian Chen, Deying Kong, Zhe Wang, Xingwei Liu, Hao Tang, Xiangyi Yan, Yusheng Xie, Shih-Yao Lin, Xiaohui Xie:
TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation. 336 - Xiao Han, Sen He, Li Zhang, Tao Xiang:
Text-Based Person Search with Limited Data. 337 - Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee:
PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. 338 - Liuqing Zhao, Fan Lyu, Fuyuan Hu, Kaizhu Huang, Fenglei Xu, Linyan Li:
Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing. 339 - Haoxiang Ma, Hongyu Yang, Di Huang:
Boundary Guided Context Aggregation for Semantic Segmentation. 340 - Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia, André G. C. Pacheco, Otávio A. B. Penatti:
Learning multiplane images from single views with self-supervision. 341 - Qilei Li, Jiabo Huang, Shaogang Gong:
Local-Global Associative Frame Assemble in Video Re-ID. 342 - Juyong Song, Sunghyun Choi:
Image-Text Alignment using Adaptive Cross-attention with Transformer Encoder for Scene Graphs. 343 - Xiaozheng Zheng, Pengfei Ren, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao:
Joint-Aware Regression: Rethinking Regression-Based Method for 3D Hand Pose Estimation. 344 - Haoyu Chen, Hao Tang, Nicu Sebe, Guoying Zhao:
AniFormer: Data-driven 3D Animation with Transformer. 345 - Jun Lv, Wenqiang Xu, Lixin Yang, Sucheng Qian, Chongzhao Mao, Cewu Lu:
HandTailor: Towards High-Precision Monocular 3D Hand Recovery. 346 - Tianxu Lv, Xiang Pan:
Temporal-Spatial Graph Attention Networks for DCE-MRI Breast Tumor Segmentation. 347 - Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan, Ahmed Hussen Abdelaziz, Nicholas Apostoloff:
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias. 348 - Shuo Chen, Tan Yu, Ping Li:
MVT: Multi-view Vision Transformer for 3D Object Recognition. 349 - Rui Yu, Yue Dong, Pieter Peers, Xin Tong:
Learning Texture Generators for 3D Shape Collections from Internet Photo Sets. 350 - Florian Langer, Ignas Budvytis, Roberto Cipolla:
Leveraging Geometry for Shape Estimation from a Single RGB Image. 351 - Jianning Quan, Abdessamad Ben Hamza:
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation. 352 - Sen Chen, Zhilei Liu, Jiaxing Liu, Zhengxiang Yan, Longbiao Wang:
Talking Head Generation with Audio and Speech Related Facial Action Units. 353 - Ce Liu, Shuhang Gu, Luc Van Gool, Radu Timofte:
Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. 354 - Wenhao Wang, Shengcai Liao, Fang Zhao, Cuicui Kang, Ling Shao:
DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations. 355 - Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu:
Separating Content and Style for Unsupervised Image-to-Image Translation. 356 - Kiichi Itoh, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki:
Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation. 357 - Mingyang Zhao, Xiaohong Jia, Lei Ma, Xinlin Qiu, Xin Jiang, Dong-Ming Yan:
Robust Ellipsoid-specific Fitting via Expectation Maximization. 358 - Yi Ma, Tian Bai, Wenyu Zhang, Jian Hu:
Multi-Granularity Hypergraphs and Adversarial Complementary Learning for Person Re-identification. 359 - Naoki Sugimoto, Satoshi Ikehata, Kiyoharu Aizawa:
Intersection Prediction from Single 360° Image via Deep Detection of Possible Direction of Travel. 360 - Sungwon Han, Hyeonho Song, SeungEon Lee, Sungwon Park, Meeyoung Cha:
Elsa: Energy-based Learning for Semi-supervised Anomaly Detection. 361 - Sarah Ibrahimi, Nanne van Noord, Tim Alpherts, Marcel Worring:
Inside Out Visual Place Recognition. 362 - Beibei Lin, Yu Liu, Shunli Zhang:
GaitMask: Mask-based Model for Gait Recognition. 363 - Jiaqi Yu, Jinhai Yang, Hua Yang, Guangtao Zhai:
PRN: Psychology-Inspired Relation Network for Detecting Social Interaction Groups from Single Images. 364 - Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato:
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. 365 - Han Xue, Liu Liu, Wenqiang Xu, Haoyuan Fu, Cewu Lu:
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval. 366 - Shuangping Jin, Zhen-Hua Feng, Wankou Yang, Josef Kittler:
Separable Batch Normalization for Robust Facial Landmark Localization. 367 - Yoichiro Hisadome, Yusuke Matsui:
Cascading Feature Extraction for Fast Point Cloud Registration. 368 - Hao Li, Xiaopeng Zhang, Hongkai Xiong:
Center-wise Local Image Mixture For Contrastive Representation Learning. 369 - Kuan-Chih Huang, Yu-Kai Huang, Winston H. Hsu:
Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation. 370 - Youssef Alami Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin:
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes. 371 - Ashesh, Chu-Song Chen, Hsuan-Tien Lin:
360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales. 372 - Eugene P. W. Ang, Shan Lin, Alex C. Kot:
DEX: Domain Embedding Expansion for Generalized Person Re-identification. 373 - Karttikeya Mangalam, Rohin Garg:
Mitigating Mode Collapse by Sidestepping Catastrophic Forgetting. 374 - Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. 375 - Stefan Ainetter, Christoph Böhm, Rohit Dhakate, Stephan Weiss, Friedrich Fraundorfer:
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks. 376 - Wenjing Bian, Zirui Wang, Kejie Li, Victor Adrian Prisacariu:
Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image. 377 - Hang Zhou, David Greenwood, Sarah Taylor:
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion. 378 - Seyed Abolfazl Ghasemzadeh, Gabriel Van Zandycke, Maxime Istasse, Niels Sayez, Amirafshar Moshtaghpour, Christophe De Vleeschouwer:
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes. 379 - K. R. Prajwal, Liliane Momeni, Triantafyllos Afouras, Andrew Zisserman:
Visual Keyword Spotting with Attention. 380 - Zhimin Chen, Longlong Jing, Yang Liang, Yingli Tian, Bing Li:
Multimodal Semi-Supervised Learning for 3D Objects. 381 - Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo:
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. 382 - Isht Dwivedi, Srikanth Malla, Yi-Ting Chen, Behzad Dariush:
Bird's Eye View Segmentation Using Lifted 2D Semantic Features. 383 - Shitong Sun, Guile Wu, Shaogang Gong:
Decentralised Person Re-Identification with Selective Knowledge Aggregation. 384 - Zongliang Ji, Olga Veksler:
Weakly Supervised Semantic Segmentation: From Box to Tag and Back. 385 - Byeong-Ju Han, Kuhyeun Ko, Jae-Young Sim:
Context-Aware Unsupervised Clustering for Person Search. 386 - Han Li, Bowen Shi, Wenrui Dai, Yabo Chen, Botao Wang, Yu Sun, Min Guo, Chenglin Li, Junni Zou, Hongkai Xiong:
Hierarchical Graph Networks for 3D Human Pose Estimation. 387 - Ziwei Yu, Linlin Yang, Shicheng Chen, Angela Yao:
Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation. 388 - Jongmin Lee, Yoonwoo Jeong, Minsu Cho:
Self-Supervised Learning of Image Scale and Orientation. 389 - Xin Peng, Wanting Xu, Jiaqi Yang, Laurent Kneip:
Continuous Event-Line Constraint for Closed-Form Velocity Initialization. 390 - Christian Sormann, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer:
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. 391 - Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan Sheng Foo:
On Automatic Data Augmentation for 3D Point Cloud Classification. 392 - Youwang Kim, Ji-Yeon Kim, Kyungdon Joo, Tae-Hyun Oh:
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise. 393 - Matthew Howe, Ian Reid, Jamie Mackenzie:
Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data. 394 - Panwen Hu, Xinyu Zhou, Rui Huang:
Discriminative Clue Alignment Network for Both Image- and Video-Based Person Re-Identification. 395 - Fangge Chen, Kei Akasaka:
3D Flow Field Estimation around a Vehicle Using Convolutional Neural Networks. 396 - Natalie Lang, Joseph M. Francos:
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration. 397 - Jinsoo Choi, Jaesik Park, In So Kweon:
Self-Supervised Real-time Video Stabilization. 398 - Hanz Cuevas-Velasquez, Antonio Javier Gallego, Robert B. Fisher:
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation. 399 - Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz:
Looking at the whole picture: constrained unsupervised anomaly segmentation. 400 - Manh Huynh, Gita Alaghband:
GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction. 401 - Givi Meishvili, Attila Szabó, Simon Jenni, Paolo Favaro:
Learning to Deblur and Rotate Motion-Blurred Faces. 402 - Benjamin Eliot Klein, Lior Wolf:
Learning Query Expansion over the Nearest Neighbor Graph. 403 - Lei Chen, Mengyao Zhai, Greg Mori:
Learning to Predict Convolutional Filters with Guidance for Conditional Image Generation. 404 - Zai Shi, Zhao Meng, Yiran Xing, Yunpu Ma, Roger Wattenhofer:
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers. 405 - Zixuan Cang, Xinyi Ning, Annika Nie, Min Xu, Jing Zhang:
Scan-IT: Domain segmentation of spatial transcriptomics images by graph neural network. 406 - Kewei Wu, Tao Wang, Zhao Xie, Dan Guo:
Distilling Dynamic Spatial Relation Network for Human Pose Estimation. 407 - Huynh Minh Thanh, Chanh D. Tr. Nguyen, Ta Duc Huy, Hoang Cao Huyen, Trung H. Bui, Steven Quoc Hung Truong:
Diffeomorphism Matching for Fast Unsupervised Pretraining on Radiographs. 408 - Yang Shi, Young-joo Chung:
Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization. 409 - Muxingzi Li, Florent Lafarge:
Planar Shape Based Registration for Multi-modal Geometry. 410 - Yuanming Li, Jeong-gi Kwak, Dongsik Yoon, Youngsaeng Jin, David K. Han, Hanseok Ko:
Adaptive Content Feature Enhancement GAN for Multimodal Selfie to Anime Translation. 411 - Yihan Su, Yu Bai, Bo Zhang, Zheng Zhang, Wendong Wang:
HAT-Net: A Hierarchical Transformer Graph Neural Network for Grading of Colorectal Cancer Histology Images. 412 - Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. 413 - Shuichi Akizuki, Manabu Hashimoto:
ASM-Net: Category-level Pose and Shape Estimation Using Parametric Deformation. 414 - Louis Lac, Jean-Pierre Da Costa, Marc Donias, Barna Keresztes, Marine Louargant:
SDNet: Unconstrained Object Structure Detector Network for In-Field Real-Time Crop Part Location And Phenotyping. 415 - Georgi Tinchev, Shuda Li, Kai Han, David Mitchell, Rigas Kouskouridas:
X Resolution Correspondence Networks. 416 - Pranjal Sahu, Saikiran Kumar Vunnava, Hong Qin:
Stabilized Semi-Supervised Training for COVID Lesion Segmentation. 417 - Ammar Qammaz, Antonis A. Argyros:
Towards Holistic Real-time Human 3D Pose Estimation using MocapNETs. 418 - Akash Sengupta, Ignas Budvytis, Roberto Cipolla:
Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model. 419 - Seung-Hun Nam, In-Jae Yu, Seung-Min Mun, Daesik Kim, Wonhyuk Ahn:
WAN: Watermarking Attack Network. 420 - Nayeong Kim, Suha Kwak:
Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection. 421 - Adrian Bulat, Enrique Sanchez, Georgios Tzimiropoulos:
Subpixel Heatmap Regression for Facial Landmark Localization. 422 - Justin Le Louëdec, Grzegorz Cielniak:
Gaussian map predictions for 3D surface feature localisation and counting. 423 - Giorgos Karvounas, Nikolaos Kyriazis, Iason Oikonomidis, Aggeliki Tsoli, Antonis A. Argyros:
Multi-view Image-based Hand Geometry Refinement using Differentiable Monte Carlo Ray Tracing. 424 - Zidong Cao, Ang Li, Zhiliang Xiong, Zejian Yuan:
Surround-view Free Space Boundary Detection with Polar Representation. 425 - Nanbo Li, Robert B. Fisher:
Duplicate Latent Representation Suppression for Multi-object Variational Autoencoders. 426 - Haithem Boussaid, Laurence Rouet:
Shape Feature Loss for Kidney Segmentation in 3D Ultrasound Images. 427 - Bipasha Sen, Aditya Agarwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Personalized One-Shot Lipreading for an ALS Patient. 428 - Christoph Reich, Tim Prangemeier, Özdemir Çetin, Heinz Koeppl:
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data. 429 - Siddharth Seth, Akash Sonth, Anirban Chakraborty:
Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification. 430 - Seunghoi Kim, Daniel C. Alexander:
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation. 431 - Di Lu, Jinpeng Wang, Ziyun Zeng, Bin Chen, Shudeng Wu, Shu-Tao Xia:
SwinFGHash: Fine-grained Image Retrieval via Transformer-based Hashing Network. 432 - Zixu Wang, Yishu Miao, Lucia Specia:
Cross-Modal Generative Augmentation for Visual Question Answering. 433 - Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales:
Tensor Composition Net for Visual Relationship Prediction. 434
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