Hi there, this is Xingrui! ๐
I am a PhD student in the Computer Science Department at Johns Hopkins University, advised by Prof. Alan Yuille. I am currently also interning with the GenAI group at AMD.
Before JHU, I obtained my Masterโs degree from the University of Southern California, where I worked closely with Prof. Laurent Itti. Prior to USC, I received my B.S. in Statistics from Renmin University of China, where I was supervised by Prof. Hanfang Yang. I also spent time in the AI lab at the Samsung R&D Institute, supervised by Dr. Yang Liu.
โ๏ธ: xwang378@jhu.edu
Research Interest
My current research interests are centered around:
- 3D object recognition and scene understanding;
- Multimodal learning and visual reasoning (e.g. visual question answering, embodied AI);
- Human-centric computer vision system. Build computer vision systems with more humanoid cognitive learning abilities ( few shot recognition and imagination).
News ๐ฃ
- [Jan 2023] The Super-CLEVR-3D dataset is now available for download!
- [Sep 2023] One paper accepted by NeurIPS 2023.
- [Aug 2023] Joined the CS PhD program at JHU as a member of CCVL.
- [Mar 2023] The SuperCLEVR paper is selected as a highlight in CVPR 2023 (2.5% of submissions).
- [Feb 2023] One paper accepted at CVPR 2023.
- [Jul 2022] One paper accepted at ECCV 2022.
Publications
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering
Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan Yuille.
(arxiv / data / code).3D-Aware Visual Question Answering about Parts, Poses and Occlusions
Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan Yuille.
NeurIPS 2023. (paper / data / code)- Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan Yuille
CVPR 2023. (project / paper / code)Selected as highlight (top 2.5%) - Contributions of Shape, Texture, and Color in Visual Recognition
Yunhao Ge*, Yao Xiao*, Zhi Xu, Xingrui Wang, Laurent Itti.
ECCV 2022. (paper / code)