Presentation Schedule
All times are in Central time zone
Date: Thursday, June 23, 2022 1:30PM – 3:00PM
Session Title: Security, Transparency, Fairness, Accountability, Privacy & Ethics in Vision
Session Chairs: Mario Fritz (CISPA Helmholtz Center for Information Security), Tatiana Tommasi (Politecnico di Torino, Junzhou Huang (Univ. of Texas at Arlington)
| Poster ID | Title | Authors |
| 1b | Adversarial Texture for Fooling Person Detectors in the Physical World |
Zhanhao Hu; Siyuan Huang; Xiaopei Zhu; Fuchun Sun; Bo Zhang; Xiaolin Hu |
| 2b | Infrared Invisible Clothing: Hiding From Infrared Detectors at Multiple Angles in Real World |
Xiaopei Zhu; Zhanhao Hu; Siyuan Huang; Jianmin Li; Xiaolin Hu |
| 3b | Enhancing Classifier Conservativeness and Robustness by Polynomiality | Ziqi Wang; Marco Loog |
| 4b | Backdoor Attacks on Self-Supervised Learning |
Aniruddha Saha; Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Hamed Pirsiavash |
| 5b | Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks |
Xiangyu Qi; Tinghao Xie; Ruizhe Pan; Jifeng Zhu; Yong Yang; Kai Bu |
| 6b | Few-Shot Backdoor Defense Using Shapley Estimation |
Jiyang Guan; Zhuozhuo Tu; Ran He; Dacheng Tao |
| 7b | Better Trigger Inversion Optimization in Backdoor Scanning |
Guanhong Tao; Guangyu Shen; Yingqi Liu; Shengwei An; Qiuling Xu; Shiqing Ma; Pan Li; Xiangyu Zhang |
| 8b | Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees | Binghui Wang; Youqi Li; Pan Zhou |
| 9b | Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching | Ozan Özdenizci; Robert Legenstein |
| 10b | LAS-AT: Adversarial Training With Learnable Attack Strategy |
Xiaojun Jia; Yong Zhang; Baoyuan Wu; Ke Ma; Jue Wang; Xiaochun Cao |
| 11b | Subspace Adversarial Training |
Tao Li; Yingwen Wu; Sizhe Chen; Kun Fang; Xiaolin Huang |
| 12b | Pyramid Adversarial Training Improves ViT Performance |
Charles Herrmann; Kyle Sargent; Lu Jiang; Ramin Zabih; Huiwen Chang; Ce Liu; Dilip Krishnan; Deqing Sun |
| 13b | Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations |
Zirui Peng; Shaofeng Li; Guoxing Chen; Cheng Zhang; Haojin Zhu; Minhui Xue |
| 14b | Robust Image Forgery Detection Over Online Social Network Shared Images |
Haiwei Wu; Jiantao Zhou; Jinyu Tian; Jun Liu |
| 15b | Quantifying Societal Bias Amplification in Image Captioning |
Yusuke Hirota; Yuta Nakashima; Noa Garcia |
Date: Thursday, June 23, 2022 1:30PM – 3:00PM
Session Title: Image & Video Synthesis and Generation (II); Video Analysis & Understanding
Session Chairs: Seon Joo Kim (Yonsei Univ.), Hedvig Kjellström (KTH Royal Inst. of Technology), Yogesh Rawat (Univ. of Central Florida
| Poster ID | Title | Authors |
| 16b | Drop the GAN: In Defense of Patches Nearest Neighbors As Single Image Generative Models |
Niv Granot; Ben Feinstein; Assaf Shocher; Shai Bagon; Michal Irani |
| 17b | GAN-Supervised Dense Visual Alignment |
William Peebles; Jun-Yan Zhu; Richard Zhang; Antonio Torralba; Alexei A. Efros; Eli Shechtman |
| 18b | Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator |
Yuxin Kong; Canjie Luo; Weihong Ma; Qiyuan Zhu; Shenggao Zhu; Nicholas Yuan; Lianwen Jin |
| 19b | Text2Mesh: Text-Driven Neural Stylization for Meshes |
Oscar Michel; Roi Bar-On; Richard Liu; Sagie Benaim; Rana Hanocka |
| 20b | StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation |
Roy Or-El; Xuan Luo; Mengyi Shan; Eli Shechtman; Jeong Joon Park; Ira Kemelmacher-Shlizerman |
| 21b | Physical Simulation Layer for Accurate 3D Modeling |
Mariem Mezghanni; Théo Bodrito; Malika Boulkenafed; Maks Ovsjanikov |
| 22b | Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-Time |
Liao Wang; Jiakai Zhang; Xinhang Liu; Fuqiang Zhao; Yanshun Zhang; Yingliang Zhang; Minye Wu; Jingyi Yu; Lan Xu |
| 23b | Neural Texture Extraction and Distribution for Controllable Person Image Synthesis |
Yurui Ren; Xiaoqing Fan; Ge Li; Shan Liu; Thomas H. Li |
| 24b | I M Avatar: Implicit Morphable Head Avatars From Videos |
Yufeng Zheng; Victoria Fernández Abrevaya; Marcel C. Bühler; Xu Chen; Michael J. Black; Otmar Hilliges |
| 25b | E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations |
Jongwan Kim; DongJin Lee; Byunggook Na; Seongsik Park; Sungroh Yoon |
| 26b | RCL: Recurrent Continuous Localization for Temporal Action Detection |
Qiang Wang; Yanhao Zhang; Yun Zheng; Pan Pan |
| 27b | Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection |
Nicolae-Cătălin Ristea; Neelu Madan; Radu Tudor Ionescu; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah |
| 28b | MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition |
Chao-Yuan Wu; Yanghao Li; Karttikeya Mangalam; Haoqi Fan; Bo Xiong; Jitendra Malik; Christoph Feichtenhofer |
| 29b | TubeR: Tubelet Transformer for Video Action Detection |
Jiaojiao Zhao; Yanyi Zhang; Xinyu Li; Hao Chen; Bing Shuai; Mingze Xu; Chunhui Liu; Kaustav Kundu; Yuanjun Xiong; Davide Modolo; Ivan Marsic; Cees G. M. Snoek; Joseph Tighe |
| 30b | MixFormer: End-to-End Tracking With Iterative Mixed Attention |
Yutao Cui; Cheng Jiang; Limin Wang; Gangshan Wu |
Date: Thursday, June 23, 2022 1:30PM – 3:00PM
Session Title: Recognition, Learning for Vision, and Robot Vision
Session Chairs: Kris Kitani (Carnegie Mellon Univ.), Trevor Darrell (UC Berkeley), Noha Radwan (Google)
| Poster ID | Title | Authors |
| 31b | DN-DETR: Accelerate DETR Training by Introducing Query DeNoising |
Feng Li; Hao Zhang; Shilong Liu; Jian Guo; Lionel M. Ni; Lei Zhang |
| 32b | Proper Reuse of Image Classification Features Improves Object Detection |
Cristina Vasconcelos; Vighnesh Birodkar; Vincent Dumoulin |
| 33b | Boosting 3D Object Detection by Simulating Multimodality on Point Clouds |
Wu Zheng; Mingxuan Hong; Li Jiang; Chi-Wing Fu |
| 34b | TransVPR: Transformer-Based Place Recognition With Multi-Level Attention Aggregation |
Ruotong Wang; Yanqing Shen; Weiliang Zuo; Sanping Zhou; Nanning Zheng |
| 35b | Disentangling Visual Embeddings for Attributes and Objects |
Nirat Saini; Khoi Pham; Abhinav Shrivastava |
| 36b | QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection |
Chenhongyi Yang; Zehao Huang; Naiyan Wang |
| 37b | Unknown-Aware Object Detection: Learning What You Don’t Know From Videos in the Wild |
Xuefeng Du; Xin Wang; Gabriel Gozum; Yixuan Li |
| 38b | Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks |
Nicola Garau; Niccolò Bisagno; Zeno Sambugaro; Nicola Conci |
| 39b | Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective |
Gowthami Somepalli; Liam Fowl; Arpit Bansal; Ping Yeh-Chiang; Yehuda Dar; Richard Baraniuk; Micah Goldblum; Tom Goldstein |
| 40b | Calibrating Deep Neural Networks by Pairwise Constraints | Jiacheng Cheng; Nuno Vasconcelos |
| 41b | Lifelong Graph Learning |
Chen Wang; Yuheng Qiu; Dasong Gao; Sebastian Scherer |
| 42b | OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks |
Wanyu Lin; Hao Lan; Hao Wang; Baochun Li |
| 43b | Coarse-To-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation |
Stephen James; Kentaro Wada; Tristan Laidlow; Andrew J. Davison |
| 44b | Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches |
Jin-Man Park; Ue-Hwan Kim; Seon-Hoon Lee; Jong-Hwan Kim |
| 45b | Cross-View Transformers for Real-Time Map-View Semantic Segmentation | Brady Zhou; Philipp Krähenbühl |