CVPR 2023 Announces List of Candidates for Best Paper Honors

WHO/WHAT: The Computer Vision and Pattern Recognition Conference (CVPR) is the preeminent computer vision event for new research in support of artificial intelligence (AI), machine learning (ML), augmented and virtual reality (AR/VR), deep learning, and much more.

Annually, it recognizes top research in the field through its prestigious “Best Paper Awards.” This year, from more than 9,000 paper submissions, the CVPR 2023 Paper Awards Committee selected 12 candidates for the coveted honor of Best Paper.

The full list of candidates includes:

• 3D Registration with Maximal Cliques
  Authors: Xiyu Zhang, Jiaqi Yang, Shikun Zhang, Yanning Zhang
• Data-driven Feature Tracking for Event Cameras
  Authors: Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
• DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
  Authors: Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman
• DynIBaR: Neural Dynamic Image-Based Rendering
  Authors: Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely
• Ego-Body Pose Estimation via Ego-Head Pose Estimation
  Authors: Jiaman Li, Karen Liu,  Jiajun Wu
• Integral Neural Networks
  Authors: Kirill Solodskikh, Azim Kurbanov, Ruslan Aydarkhanov, Irina Zhelavskaya, Yury Parfenov, Dehua Song, Stamatios Lefkimmiatis
• MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
  Authors: Zhiqin Chen, Thomas Funkhouser, Peter Hedman, Andrea Tagliasacchi
• OmniObject3D: Large Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
  Authors: Tong Wu , Jiarui Zhang,  Xiao Fu, Yuxin WANG, Jiawei Ren, Liang Pan,  Wenyan Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu
• On Distillation of Guided Diffusion Models
  Authors: Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
• Planning-oriented Autonomous Driving
  Authors: Yihan Hu,  Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu,  Xiaosong Jia, Qiang Liu, Jifeng Dai,  Yu Qiao, Hongyang Li
• Visual Programming: Compositional visual reasoning without training
  Authors: Tanmay Gupta, Aniruddha Kembhavi
• What Can Human Sketches Do for Object Detection?
  Authors: Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song

WHEN/WHERE: CVPR 2023 takes place 18-22 June 2023, at the Vancouver Convention Center, Vancouver, Canada. Award candidate paper presentations will take place on Tuesday, 20 June and Thursday, 22 June at 3 pm PDT. Award winners will be announced Wednesday, 21 June at 8:30 am PDT during the CVPR 2023 Awards Ceremony.

WHY: Sponsored by the IEEE Computer Society (CS) and the Computer Vision Foundation (CVF), CVPR 2023 promises to deliver the important advances in all areas of computer vision and pattern recognition and the various fields and industries they impact.

With a record number of paper submissions, 9,155, an increase of 12 percent over last year, and an acceptance rate of just 25.8 percent, CVPR 2023 will deliver a program of the highest of quality that will enable attendees to discover, understand and gain critical knowledge around the computer vision and pattern recognition topics that are transforming the industry.

HOW: Interested industry professionals can register for CVPR 2023 by visiting https://cvpr2023.thecvf.com/.

Members of the media can request a media pass by visiting https://cvpr2023.thecvf.com/Conferences/2023/MediaPass.

FOR MORE INFORMATION:
CVPR 2023 PR Team
media@computer.org