Yipeng Gao

I am currently a third-year master's student at Sun Yat-sen University (SYSU), where I am advised by Wei-Shi Zheng. Before coming to SYSU, I obtained my B.E. degree at the South China University of Technology. I am also fortunate to have an in-person internship with Prof. Cihang Xie at the University of California, Santa Cruz.

My research interests mainly lie around Computer Vision, with the goal of developing general and generalizable vision systems. Nowadays, I focus on vision-language foundation models and their applications. I believe it is one of the essential tools for facilitating people's interaction with modern vision systems and enhancing the quality of their lives. Now, I am committing to take a small step toward this vision.

I am always open to research discussions and collaborations :). Feel free to reach out to me with any questions.

Email / Google Scholar / Github

News

[02/27/2024] One paper about 3D foundation models accepted to CVPR 2024.

[09/21/2023] One co-author paper accepted to NeurIPS 2023.

[07/13/2023] One co-author paper accepted to ICCV 2023.

[02/27/2023] The AsyFOD accepted to CVPR 2023.

Publications

	Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training Yipeng Gao, Zeyu Wang, Wei-Shi Zheng, Cihang Xie, Yuyin Zhou, CVPR, 2024 paper / code
	Diversifying Spatial-Temporal Perception for Video Domain Generalization Kun-Yu Lin, Jia-Run Du, Yipeng Gao, Jiaming Zhou, Wei-Shi Zheng NeurIPS, 2023 paper / code
	ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation Shenghao Fu, Junkai Yan, Yipeng Gao, Xiaohua Xie, Wei-Shi Zheng ICCV, 2023 paper / code
	AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection Yipeng Gao, Kun-Yu Lin, Junkai Yan, Yaowei Wang, Wei-Shi Zheng CVPR, 2023 paper / code
	AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection Yipeng Gao, Lingxiao Yang, Yunmu Huang, Song Xie, Shiyong Li, Wei-Shi Zheng ECCV, 2022 paper / code

Academic Service

Conference Reviewer: ECCV 2024, ICML 2024, CVPR 2024, ICLR 2024, NeurIPS 2023

Journal Reviewer: TMLR

Awards

Chinese National Scholarship 2023

Last Update 4/2024. Thanks to Jon Barron.