Presentation Schedule
All times are in Central time zone
Date: Wednesday, June 22, 2022 8:30AM – 10:18AM
Session Title: Recognition: Detection, Categorization, Retrieval
Session Chairs: Jean Ponce (Inria), Emily Hand (Univ. of Nevada, Reno), Hedvig Kjellström (KTH Royal Inst. of Technology)
| Poster ID | Title | Authors |
| 1a | MixFormer: Mixing Features Across Windows and Dimensions |
Qiang Chen; Qiman Wu; Jian Wang; Qinghao Hu; Tao Hu; Errui Ding; Jian Cheng; Jingdong Wang |
| 2a | Recurrent Glimpse-Based Decoder for Detection With Transformer | Zhe Chen; Jing Zhang; Dacheng Tao |
| 3a | Mobile-Former: Bridging MobileNet and Transformer |
Yinpeng Chen; Xiyang Dai; Dongdong Chen; Mengchen Liu; Xiaoyi Dong; Lu Yuan; Zicheng Liu |
| 4a | Unsupervised Domain Generalization by Learning a Bridge Across Domains |
Sivan Harary; Eli Schwartz; Assaf Arbelle; Peter Staar; Shady Abu-Hussein; Elad Amrani; Roei Herzig; Amit Alfassy; Raja Giryes; Hilde Kuehne; Dina Katabi; Kate Saenko; Rogerio S. Feris; Leonid Karlinsky |
| 5a | SIGMA: Semantic-Complete Graph Matching for Domain Adaptive Object Detection | Wuyang Li; Xinyu Liu; Yixuan Yuan |
| 6a | Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection |
Jiaxi Wu; Jiaxin Chen; Mengzhe He; Yiru Wang; Bo Li; Bingqi Ma; Weihao Gan; Wei Wu; Yali Wang; Di Huang |
| 7a | PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction |
Zeren Sun; Fumin Shen; Dan Huang; Qiong Wang; Xiangbo Shu; Yazhou Yao; Jinhui Tang |
| 8a | Few-Shot Object Detection With Fully Cross-Transformer |
Guangxing Han; Jiawei Ma; Shiyuan Huang; Long Chen; Shih-Fu Chang |
| 9a | Task Discrepancy Maximization for Fine-Grained Few-Shot Classification | SuBeen Lee; WonJun Moon; Jae-Pil Heo |
| 10a | Leveraging Self-Supervision for Cross-Domain Crowd Counting | Weizhe Liu; Nikita Durasov; Pascal Fua |
| 11a | What To Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions |
A S M Iftekhar; Hao Chen; Kaustav Kundu; Xinyu Li; Joseph Tighe; Davide Modolo |
| 12a | AdaMixer: A Fast-Converging Query-Based Object Detector |
Ziteng Gao; Limin Wang; Bing Han; Sheng Guo |
| 13a | Correlation Verification for Image Retrieval |
Seongwon Lee; Hongje Seong; Suhyeon Lee; Euntai Kim |
| 14a | Real-Time Object Detection for Streaming Perception |
Jinrong Yang; Songtao Liu; Zeming Li; Xiaoping Li; Jian Sun |
| 15a | Deep Visual Geo-Localization Benchmark |
Gabriele Berton; Riccardo Mereu; Gabriele Trivigno; Carlo Masone; Gabriela Csurka; Torsten Sattler; Barbara Caputo |
| 16a | RendNet: Unified 2D/3D Recognizer With Latent Space Rendering |
Ruoxi Shi; Xinyang Jiang; Caihua Shan; Yansen Wang; Dongsheng Li |
| 17a | Sparse Fuse Dense: Towards High Quality 3D Detection With Depth Completion |
Xiaopei Wu; Liang Peng; Honghui Yang; Liang Xie; Chenxi Huang; Chengqi Deng; Haifeng Liu; Deng Cai |
| 18a | Focal Sparse Convolutional Networks for 3D Object Detection |
Yukang Chen; Yanwei Li; Xiangyu Zhang; Jian Sun; Jiaya Jia |
Date: Wednesday, June 22, 2022 8:30AM – 10:18AM
Session Title: 3D From Multi-View & Sensors
Session Chairs: Daniel Cremers (TU Munich), Kostas Daniilidis (Univ. of Pennsylvania)
| Poster ID | Title | Authors |
| 19a | Point-NeRF: Point-Based Neural Radiance Fields |
Qiangeng Xu; Zexiang Xu; Julien Philip; Sai Bi; Zhixin Shu; Kalyan Sunkavalli; Ulrich Neumann |
| 20a | NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction |
Xiaoshuai Zhang; Sai Bi; Kalyan Sunkavalli; Hao Su; Zexiang Xu |
| 21a | Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields Reconstruction | Cheng Sun; Min Sun; Hwann-Tzong Chen |
| 22a | Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields |
Jonathan T. Barron; Ben Mildenhall; Dor Verbin; Pratul P. Srinivasan; Peter Hedman |
| 23a | RegNeRF: Regularizing Neural Radiance Fields for View Synthesis From Sparse Inputs |
Michael Niemeyer; Jonathan T. Barron; Ben Mildenhall; Mehdi S. M. Sajjadi; Andreas Geiger; Noha Radwan |
| 24a | Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields |
Dor Verbin; Peter Hedman; Ben Mildenhall; Todd Zickler; Jonathan T. Barron; Pratul P. Srinivasan |
| 25a | Plenoxels: Radiance Fields Without Neural Networks |
Sara Fridovich-Keil; Alex Yu; Matthew Tancik; Qinhong Chen; Benjamin Recht; Angjoo Kanazawa |
| 26a | Neural 3D Scene Reconstruction With the Manhattan-World Assumption |
Haoyu Guo; Sida Peng; Haotong Lin; Qianqian Wang; Guofeng Zhang; Hujun Bao; Xiaowei Zhou |
| 27a | Neural 3D Video Synthesis From Multi-View Video |
Tianye Li; Mira Slavcheva; Michael Zollhöfer; Simon Green; Christoph Lassner; Changil Kim; Tanner Schmidt; Steven Lovegrove; Michael Goesele; Richard Newcombe; Zhaoyang Lv |
| 28a | Learning To Solve Hard Minimal Problems |
Petr Hruby; Timothy Duff; Anton Leykin; Tomas Pajdla |
| 29a | Learning a Structured Latent Space for Unsupervised Point Cloud Completion |
Yingjie Cai; Kwan-Yee Lin; Chao Zhang; Qiang Wang; Xiaogang Wang; Hongsheng Li |
| 30a | Lepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes | Yang Li; Tatsuya Harada |
| 31a | IRON: Inverse Rendering by Optimizing Neural SDFs and Materials From Photometric Images |
Kai Zhang; Fujun Luan; Zhengqi Li; Noah Snavely |
| 32a | Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation |
Damien Robert; Bruno Vallet; Loic Landrieu |
| 33a | HyperDet3D: Learning a Scene-Conditioned 3D Object Detector |
Yu Zheng; Yueqi Duan; Jiwen Lu; Jie Zhou; Qi Tian |
| 34a | KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos |
David Novotny; Ignacio Rocco; Samarth Sinha; Alexandre Carlier; Gael Kerchenbaum; Roman Shapovalov; Nikita Smetanin; Natalia Neverova; Benjamin Graham; Andrea Vedaldi |
| 35a | SelfRecon: Self Reconstruction Your Digital Avatar From Monocular Video |
Boyi Jiang; Yang Hong; Hujun Bao; Juyong Zhang |
| 36a | Ditto: Building Digital Twins of Articulated Objects From Interaction | Zhenyu Jiang; Cheng-Chun Hsu; Yuke Zhu |
Date: Wednesday, June 22, 2022 8:30AM – 10:18AM
Session Title: Low-Level Vision
Session Chairs: Minsu Cho (POSTECH), Kavita Bala (Cornell Univ.)
| Session Title | Session Chairs | Poster ID | Title | Authors |
| Low-Level Vision | Minsu Cho (POSTECH) | 37a | Bijective Mapping Network for Shadow Removal |
Yurui Zhu; Jie Huang; Xueyang Fu; Feng Zhao; Qibin Sun; Zheng-Jun Zha |
| Kavita Bala (Cornell Univ.) | 38a | Toward Fast, Flexible, and Robust Low-Light Image Enhancement |
Long Ma; Tengyu Ma; Risheng Liu; Xin Fan; Zhongxuan Luo |
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39a | Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements |
Dongdong Chen; Julián Tachella; Mike E. Davies |
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| 40a | Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution | Jie Liang; Hui Zeng; Lei Zhang | ||
| 41a | Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution |
Xiaoqian Xu; Pengxu Wei; Weikai Chen; Yang Liu; Mingzhi Mao; Liang Lin; Guanbin Li |
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| 42a | SphereSR: 360° Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation |
Youngho Yoon; Inchul Chung; Lin Wang; Kuk-Jin Yoon |
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| 43a | Learning Trajectory-Aware Transformer for Video Super-Resolution |
Chengxu Liu; Huan Yang; Jianlong Fu; Xueming Qian |
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| 44a | Discrete Cosine Transform Network for Guided Depth Map Super-Resolution |
Zixiang Zhao; Jiangshe Zhang; Shuang Xu; Zudi Lin; Hanspeter Pfister |
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| 45a | Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations |
Zhixuan Zhong; Liangyu Chai; Yang Zhou; Bailin Deng; Jia Pan; Shengfeng He |
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| 46a | ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding |
Dailan He; Ziming Yang; Weikun Peng; Rui Ma; Hongwei Qin; Yan Wang |
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| 47a | Restormer: Efficient Transformer for High-Resolution Image Restoration |
Syed Waqas Zamir; Aditya Arora; Salman Khan; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang |
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| 48a | Deep Rectangling for Image Stitching: A Learning Baseline |
Lang Nie; Chunyu Lin; Kang Liao; Shuaicheng Liu; Yao Zhao |
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| 49a | Parametric Scattering Networks |
Shanel Gauthier; Benjamin Thérien; Laurent Alsène-Racicot; Muawiz Chaudhary; Irina Rish; Eugene Belilovsky; Michael Eickenberg; Guy Wolf |
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| 50a | Burst Image Restoration and Enhancement |
Akshay Dudhane; Syed Waqas Zamir; Salman Khan; Fahad Shahbaz Khan; Ming-Hsuan Yang |
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| 51a | MAXIM: Multi-Axis MLP for Image Processing |
Zhengzhong Tu; Hossein Talebi; Han Zhang; Feng Yang; Peyman Milanfar; Alan Bovik; Yinxiao Li |
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| 52a | Event-Aided Direct Sparse Odometry |
Javier Hidalgo-Carrió; Guillermo Gallego; Davide Scaramuzza |
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| 53a | CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation |
Haisong Liu; Tao Lu; Yihui Xu; Jia Liu; Wenjie Li; Lijun Chen |
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| 54a | Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection |
Jinyuan Liu; Xin Fan; Zhanbo Huang; Guanyao Wu; Risheng Liu; Wei Zhong; Zhongxuan Luo |