About me

Welcome! I am a Ph.D. student at Computer Vision for Human-Computer Interaction Lab (CV:HCI), Karlsruhe Institute of Technology (KIT), Germany, under the supervision of Prof. Rainer Stiefelhagen. I received my B.Sc. degree from Guangdong University of Technology (GDUT) and M.Sc. degree from KIT.

My research topic focuses on computer vision and assistive technology. More specifically, I dive into scene understanding and visual navigation for people with visual impairments.

[Nov 2024] A paper (OneBev) has been selected as Best Paper Finalist by ACCV2024.
[Oct 2024] A paper (@Bench) has been accepted by WACV2025.
[Jul 2024] Two papers (OPS, RAVAR) have been accepted by ECCV2024.
[Jun 2024] A paper (NoiseEraSAR) has been accepted by IROS2024.
[Apr 2024] A paper (MATERobot) has been selected as Best Paper Finalist on Human-Robot Interaction by ICRA2024.
[Feb 2024] A paper (RoDLA) has been accepted by CVPR2024.
[Jan 2024] A paper (MATERobot) has been accepted by ICRA2024.
[Dec 2023] A paper (OS-SAR) has been accepted by AAAI2024.
[Mar 2023] A paper (APES) has been selected as Highlight by CVPR2023.
[Feb 2023] A paper (APES) has been accepted by CVPR2023.

Selected Publications
(* Equal contribution, Corresponding author.)

@BENCH: Benchmarking Vision-Language Models for Human-centered Assistive Technology
X. Jiang*, J. Zheng*, R. Liu, J. Li, S. Matthiesen, J. Zhang, R. Stiefelhagen
WACV'25 Homepage Paper Code
OneBEV: Using One Panoramic Image for Bird’s-Eye-View Semantic Mapping
J. Wei, J. Zheng, R. Liu, J. Hu, J. Zhang, R. Stiefelhagen
ACCV'24 ( Best paper finalist) Paper Code
Open Panoramic Segmentation
J. Zheng, R. Liu, Y. Chen, K. Peng, C. Wu, K. Yang, J. Zhang, R. Stiefelhagen
ECCV'24 Homepage Paper Code Video
MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments
J. Zheng*, J. Zhang*, K. Yang, K. Peng, R. Stiefelhagen
ICRA'24 ( Best paper finalist on HRI) Homepage Paper Code Video
Attention-Based Point Cloud Edge Sampling
C. Wu, J. Zheng, J. Pfrommer, J. Beyerer
CVPR'23 ( Highlight, Top 10%) Homepage Paper Code Video