Qifan Zhang
Ph.D. Student · Computer Vision · Robotics

My name is Qifan Zhang. I am a Ph.D. student in the Department of Computer Science at The University of Texas at Dallas. I work in the Intelligent Robotics and Vision Lab under the supervision of Professor Yu Xiang. My research interests include computer vision, robot perception, continual learning, and knowledge distillation. I am currently seeking internship and full-time opportunities. Please feel free to reach out if you would like to connect.

Location
Richardson / Allen, Texas
Focus
Open-world Perception &
Continual Learning

Recent News

May 2026

Our paper From Local Matches to Global Masks: Novel Instance Detection in Open-World Scenes has been accepted to RSS 2026.

Sep 2025

Our paper HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction is accepted at NeurIPS 2025 Datasets & Benchmarks Track.

Jul 2025

Our supervised team of high school students received the 2nd Prize CAST STAR Award in CAST-STEM Bridge Summer Camp 2025.

Sep 2024

Our paper CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities is accepted at NeurIPS 2024 Datasets & Benchmarks Track.

Jul 2024

Our supervised team of high school students received the 2nd Prize CAST STAR Award in CAST-STEM Bridge Summer Camp 2024.

Publications

L2G paper image

From Local Matches to Global Masks: Novel Instance Detection in Open-World Scenes

Qifan Zhang, Sai Haneesh Allu, Jikai Wang, Yangxiao Lu, and Yu Xiang

arXiv preprint, 2026

CDL paper image

Decoupled Prompting for Continual Distillation in Rehearsal-Free Class-Incremental Learning

Qifan Zhang, Yunhui Guo, and Yu Xiang

arXiv preprint, 2025

HOCAP paper image

HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction

Jikai Wang, Qifan Zhang, Yu-Wei Chao, Bowen Wen, Xiaohu Guo, and Yu Xiang

NeurIPS Datasets and Benchmarks Track, 2025

HOCAP paper image

CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities

Rohith Peddi, Shivrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Bhavya Gouripeddi, Jikai Wang, Qifan Zhang, Vasundhara Komaragiri, Eric Ragan, Nicholas Ruozzi, Yu Xiang, and Vibhav Gogate

NeurIPS Datasets and Benchmarks Track, 2024

Deblur paper image

Blur-free Low-light Imaging with Color and Event Cameras

Nianyi Li, Jinwei Ye, Qifan Zhang, and S. Susan Young

Proceedings of SPIE 11731, Computational Imaging VI, 2021

Co-calibration paper image

Co-Calibration and Registration of Color and Event Cameras

Qifan Zhang, Jinwei Ye, Philip Osteen, et al.

ARL-TR-9108, 2020

Projects