Wenjie Zhao

I am Wenjie Zhao, a passionate and dedicated PhD student at the University of Texas at Dallas, located in the vibrant city of Dallas. My research focuses on computer vision and machine learning following Prof. Yunhui Guo. I am particularly interested in out-of-distribution detection and segmentation, test-time adaptation, audio-visual segmentation, continual learning, and generative models, striving to push the boundaries of knowledge in these critical areas.

Email: wxz220013 [at] utdallas [dot] edu

News

July 2024 » Accept invitation to be a Reviewer for NeurIPS 2024.

May 2024 » One paper is accepted by CVPR Sight and Sound Workshop 2024. Congratulations to Ziru!

Jan 2024 » Our out-of-distribution detection paper is accepted to CVPR 2024. Grateful to collaborators from UTD and Harvard.

Research

	Robust Open-Set Test-Time Adaptation Under Review Wenjie Zhao, Jia Li, Xin Dong, Yapeng Tian, Yu Xiang, Yunhui Guo
	Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Under Review Jia Li, Wenjie Zhao, Ziru Huang, Yunhui Guo, Yapeng Tian
	H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Under Review Yuhang Liu, Wenjie Zhao, Yunhui Guo
	AV-Mamba: Cross-Modality Selective State Space Models for Audio-Visual Question Answering IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop: Sight and Sound ( CVPR 2024 Workshop: Sight and Sound ) Ziru Huang, Jia Li, Wenjie Zhao, Yunhui Guo, Yapeng Tian [PDF]
	Segment Every Out-of-Distribution Object IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR 2024 ) Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo [PDF] [CODE]