Scholar
Xueyan Zou
Google Scholar ID: eslbQqoAAAAJ
PostDoc at UC San Diego
Citations & Impact
Citations
2,631
H-index
12
i10-index
13
Publications
20
Co-authors
11
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- 2024.09: FIND accepted by NeurIPS24; GraspSplat accepted by CoRL24; Semantic-SAM, LLaVA-Grounding, LLaVA-Plus accepted by ECCV24; DINOv accepted by CVPR24.
- 2024.07: Organizing the Efficient Deep Learning for Foundation Models workshop in ECCV24.
- 2024.06: Organizing the 3rd Computer Vision in the Wild workshop in CVPR24, Seattle.
- 2024.05: Received NSF TILOS postdoctoral fellowship from UC San Diego.
- 2023.10: Released full stack Training, Evaluation, and Demo code for SEEM.
- 2023.09: Proposal accepted to Microsoft's Accelerate Foundation Models Research Program, with topic Advancing Foundation Models: Bridging Human Cognition and IoT Sensing.
- 2022.12: Released X-Decoder, a generalist model for decoding pixel-level masks and token-level semantics seamlessly.
- 2020.07: Paper 'Delving Deeper into Anti-Aliasing in ConvNets' accepted to BMVC2020 with Best Paper Award.
Research Experience
- 2023.05 - 2023.08: Research intern at Microsoft Azure, working with Dr. Jianfeng Wang and Linjie Li.
- 2022.02 - 2023.05: Research intern at Microsoft Research, mentored by Dr. Jianwei Yang.
- 2021.05 - 2021.11: Research intern at Cruise LLC, supervised by Prof. Yong Jae Lee.
- 2020.06 - 2020.11: Research intern at ByteDance Inc., working with Dr. Linjie Yang and Dr. Ding Liu.
- 2018.03 - 2018.07: Research intern at TuSimple Inc., working with Dr. Naiyan Wang and Yuanqin Lu.
Background
- Currently a postdoctoral fellow at the Contextual Robotics Institute in UC San Diego, led by Prof. Xiaolong Wang. Research interests include EmbodiedAI/Robotics (Navigation, Manipulation, and Perception), Building Generalist Multimodal Foundation Models, and General Representation Learning (2D/3D).
Miscellany
- Feel free to email me at xueyanzoucs AT gmail.com if you're interested in collaboration (open to undergraduates, graduates, institutions/companies globally).
