Yipeng Gao

I am a first-year Ph.D. student in Computer Science at University of Southern California, advised by Prof. Laurent Itti.

Previously, I obtained an M.S. degree at Sun Yat-sen University (SYSU) and a B.E. degree at the South China University of Technology. I was 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 an essential tool 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

[07/01/2024] Two papers were accepted to ECCV 2024.

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

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

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

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

Selected Publications

* denotes equal contributions.

	DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation Junkai Yan* , Yipeng Gao, Qize Yang, Xihan Wei, Xuansong Xie, Ancong Wu, Wei-Shi Zheng, ECCV*, 2024 paper / code
	Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection Qijie Mo , Yipeng Gao, Shenghao Fu, Junkai Yan, Ancong Wu, Wei-Shi Zheng, ECCV, 2024 paper / code
	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

USC Viterbi School of Graduate School Fellowship 2024

Outstanding Master's thesis at Sun Yat-sen University 2024

Chinese National Graduate Scholarship 2023

Last Update 7/2024. Thanks to Jon Barron.