Junwei Zheng

M.Sc. Junwei Zheng

  • Adenauerring 10
    Building 50.28, Room 106
    76131 Karlsruhe, Germany

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 and Prof. Kathrin Gerling. I received my B.Sc. degree from Guangdong University of Technology (GDUT) and M.Sc. degree from KIT.

My research topic focuses on assistive technology in the background of computer vision. More specifically, I dive into computer vision for scene understanding and embodied AI, especially vision-language navigation for people with visual impairments.

For KIT students who have passion for deep learning / computer vision / embodied AI / assistive technology and are looking for a bachelor / master thesis, please don’t hesitate to contact me with your transcript and curriculum vitae.

Topics include but are not limited to:

  • Scene understanding, e.g., semantic / instance / panoptic segmentation
  • Vision and language, e.g., vision-language navigation
  • Embodied AI
  • Assistive technology
  • Human computer interaction

For more information about me, please check my homepage.

Open thesis and Hiwi topics

  • ME2: Multi-Modal Enhanced Extendable Model for Vision-Language Navigation (Master Thesis, ongoing)

Teaching

  • Multimodal Large Language Models, SS 2024, Teaching Assistant
  • Computer Vision for Human-Computer Interaction, SS 2023, Teaching Assistant

Publications

  • @Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology  Xin Jiang*, Junwei Zheng*, Ruiping Liu, Jiahang Li, Jiaming Zhang, Sven Matthiesen, Rainer Stiefelhagen  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025  [paper] [code] [homepage]
  • Open Panoramic Segmentation  Junwei Zheng, Ruiping Liu, Yufan Chen, Kunyu Peng, Chengzhi Wu, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen  European Conference on Computer Vision (ECCV) 2024  [paper] [code] [homepage] [video]
  • MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments  Junwei Zheng*, Jiaming Zhang*, Kailun Yang, Kunyu Peng, Rainer Stiefelhagen  IEEE International Conference on Robotics and Automation (ICRA) 2024 (Best Paper Finalist on Human-Robot Interaction)  [paper] [code] [homepage] [video]
  • Referring Atomic Video Action Recognition  Kunyu, Peng, Jia Fu, Kailun Yang, Di Wen, Yufan Chen, Ruiping Liu, Junwei Zheng, Jiaming Zhang, M. Saquib, Sarfraz, Rainer Stiefelhagen, Alina Roitberg  European Conference on Computer Vision (ECCV) 2024 [paper] [code] [video]
  • Skeleton-Based Human Action Recognition with Noisy Labels  Yi Xu, Kunyu Peng, Di Wen, Ruiping Liu, Junwei Zheng, Yufan Chen, Jiaming Zhang, Alina Roitberg, Kailun Yang, Rainer Stiefelhagen  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024  [paper] [code]
  • RoDLA: Benchmarking the Robustness of Document Layout Analysis Models  Yufan Chen, Jiaming Zhang, Kunyu Peng, Junwei Zheng, Ruiping Liu, Philip Torr, Rainer Stiefelhagen  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024  [paper] [code] [homepage]
  • Navigating Open Set Scenarios for Skeleton-based Action Recognition  Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib, Sarfraz, Rainer Stiefelhagen, Alina Roitberg  AAAI Conference on Artificial Intelligence (AAAI) 2024  [paper] [code]
  • Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation  Ruiping Liu, Jiaming Zhang, Kunyu Peng, Yufan Chen, Ke Cao, Junwei Zheng, M. Saquib Sarfraz, Kailun Yang, Rainer Stiefelhagen  IEEE Intelligent Vehicles Symposium (IV) 2024  [paper] [code]
  • OneBEV: Using One Panoramic Image for Bird's-Eye-View Semantic Mapping  Jiale Wei, Junwei Zheng, Ruiping Liu, Jie Hu, Jiaming Zhang, Rainer Stiefelhagen  Asian Conference on Computer Vision (ACCV) 2024 (Oral)  [paper] [code]
  • Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision  Yiping Wei, Kunyu Peng, Alina Roitberg, Jiaming Zhang, Junwei Zheng, Ruiping Liu, Yufan Chen, Kailun Yang, Rainer Stiefelhagen  International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2024  [paper] [code]
  • Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression  Jonas Schmitt, Ruiping Liu, Junwei Zheng, Jiaming Zhang, Rainer Stiefelhagen  International Conference on Intelligent Transportation Systems (ITSC) 2024 (Oral)  [paper] [code] [video]
  • Rethinking Attention Module Design for Point Cloud Analysis  Chengzhi Wu, Kaige Wang, Zeyun Zhong, Hao Fu, Junwei Zheng, Jiaming Zhang, Julius Pfrommer, Jürgen Beyerer  International Conference on Pattern Recognition (ICPR) 2024  [paper]
  • Attention-based Point Cloud Edge Sampling  Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Juergen Beyerer  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 (Highlight, Top 10%)  [paper] [code] [homepage] [video]
  • Attention-based Part Assembly for 3D Volumetric Shape Modeling  Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Juergen Beyerer  IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2023  [paper] [code] [video]
  • Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents  Ke Cao, Ruiping Liu, Ze Wang, Kunyu Peng, Jiaming Zhang, Junwei Zheng, Zhifeng Teng, Kailun Yang, Rainer Stiefelhagen  IEEE/CVF International Conference on Robotics and Biomimetics (ROBIO) 2023  [paper]
  • Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments  Ruiping Liu, Jiaming Zhang, Kunyu Peng, Junwei Zheng, Ke Cao, Yufan Chen, Kailun Yang, Rainer Stiefelhagen  IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) 2023  [paper] [code]
  • Unveiling the Hidden Realm: Self-supervised Skeleton-based Action Recognition in Occluded Environments  Yifei Chen, Kunyu Peng, Alina Roitberg, David Schneider, Jiaming Zhang, Junwei Zheng, Ruiping Liu, Yufan Chen, Kailun Yang, Rainer Stiefelhagen  preprint: arXiv  [paper] [code]