Features
10 Papers Accepted at CVPR 2024
14 Mar 2024
The Computer Vision and Pattern Recognition (CVPR) conference is a premier annual computer vision event that covers advances in computer vision, pattern recognition, artificial intelligence (AI), machine learning and more.
Held from 17 – 21 June 2024 at Seattle, Washington, CVPR provides a platform for leading scientists, technologists and industry experts to learn, debate and exchange ideas on the latest developments within the industry.
Congratulations to the following scientists from A*STAR’s Centre for Frontier AI Research (CFAR) on having their papers accepted at CVPR 2024:
- Prof Ivor Tsang, Director
- Prof Ong Yew Soon, Chief Artificial Intelligence Scientist
- Dr Lim Joo Hwee, Principal Scientist
- Dr Joey Zhou, Principal Scientist
- Dr Foo Chuan Sheng, Principal Scientist
- Dr Guo Qing, Senior Scientist
- Dr Zhu Hongyuan, Scientist
- Dr Liu Yanzhu, Scientist
- Dr Mohamed Ragab, Scientist
- Dr Du Jiawei, Senior Research Engineer
List of accepted papers:
- CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection
Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu - Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
Jinlong Li, Baolu Li, Zhengzhong Tu, Xinyu Liu, Qing Guo, Felix Juefei-Xu, Runsheng Xu, Hongkai Yu - Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
Xin Zhang, Jiawei Du, Weiying Xie, Yunsong Li, Joey Tianyi Zhou - Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong - Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong - Diffusion Time-step Curriculum for One Image to 3D Generation
Yi Xuanyu, Zike Wu, Qingshan Xu, Pan Zhou, Joo Hwee Lim, Hanwang Zhang - LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
Sijin Chen, Xin Chen, Chi Zhang, Mingsheng Li, Gang Yu, Hao Fei, Hongyuan Zhu, Jiayuan Fan, Tao Chen - MACE: Mass Concept Erasure in Diffusion Models
Shilin Lu, Zilan Wang, Leyang Li, Yanzhu Liu, Adams Kong - AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval
Sixing Yan, William Cheung, Ivor Tsang, Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See - Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
Wenyu Zhang, Liu Qingmu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo
Find out more about CVPR 2024.