Twelve papers at CVPR 2022
Twelve accepted papers involving CLS researchers
cls 01 July 2022 News
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. A record twelve accepted papers at CVPR2022 were authored or co-authored by CLS doctoral fellows.
The papers are listed below; CLS authors highlighted in bold.
Accurate 3D Body Shape Regression Using Metric and Semantic Attributes. Vasileios Choutas, Lea Müller, Chun-Hao P. Huang, Siyu Tang, Dimitrios Tzionas, Michael J. Black.
BARC: Learning To Regress 3D Dog Shape From Images by Exploiting Breed Information. Nadine Rüegg, Silvia Zuffi, Konrad Schindler, Michael J. Black.
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions. Sammy Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song, Otmar Hilliges.
gDNA: Towards Generative Detailed Neural Avatars. Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges.
Generative Cooperative Learning for Unsupervised Video Anomaly Detection. M. Zaigham Zaheer, Arif Mahmood, M. Haris Khan, Mattia Segu, Fisher Yu, Seung-Ik Lee.
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping. Omid Taheri, Vasileios Choutas, Michael J. Black, Dimitrios Tzionas.
Human-Aware Object Placement for Visual Environment Reconstruction. Hongwei Yi, Chun-Hao P. Huang, Dimitrios Tzionas, Muhammed Kocabas, Mohamed Hassan, Siyu Tang, Justus Thies, Michael J. Black.
I M Avatar: Implicit Morphable Head Avatars From Videos. Yufeng Zheng, Victoria Fernández Abrevaya, Marcel C. Bühler, Xu Chen, Michael J. Black, Otmar Hilliges.
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM. Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R. Oswald, Marc Pollefeys.
PINA: Learning a Personalized Implicit Neural Avatar From a Single RGB-D Video Sequence. Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges.
Revisiting Random Channel Pruning for Neural Network Compression. Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool.
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. Tao Sun, Mattia Segu, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu.
CVPR 2022 was held during June 19-23 as a hybrid conference, with both an in-person option, located at the Ernest N. Morial Convention Center, New Orleans, Louisiana, and virtual attendance options. Image taken from https://cvpr2022.thecvf.com.