Computer Vision for Panoramic Understanding Lab (cv:pu)

PhD Students

• Fei Teng, PhD student at HNU (Topic: Panoramic Understanding).
• Kai Luo, PhD student at HNU (Topic: Spatiotemporal Understanding).
• Guoqiang Zhao, PhD student at HNU (Topic: RGB-X Scene Understanding).
• Yuanfan Zheng, PhD student at HNU (Topic: Trustworthy Scene Understanding).
• Mengfei Duan, PhD student at HNU (Topic: Out-of-Distribution Understanding), Co-advising with Prof. Zhiyong Li.
• Wanjun Jia, PhD student at HNU (Topic: Affordance Understanding), Co-advising with Prof. Zhiyong Li.
• Siyu Li, PhD student at HNU (Topic: BEV Scene Understanding), Co-advising with Prof. Zhiyong Li.
• Fan Yang, PhD student at HNU (Topic: Affordance Understanding), Co-advising with Prof. Wenrui Chen and Prof. Zhiyong Li.

Master Students

• Yizhou Huang, Master student at HNU (Topic: Affordance Understanding), Co-advising with Prof. Zhiyong Li.
• Jiayi Zhao, Master student at HNU (Topic: RGB-X Scene Understanding), Co-advising with Prof. Zhiyong Li.
• Jiawei Liu, Master student at HNU (Topic: Light-Field Scene Understanding), Co-advising with Prof. Zhiyong Li.
• Kang Zeng, Master student at HNU (Topic: Moving Object Segmentation), Co-advising with Prof. Zhiyong Li.
• Yuheng Zhang, Master student at HNU (Topic: Semantic Occupancy Prediction).
• Sheng Wu, Master student at HNU (Topic: Panoramic Generation).
• Zhe Yang, Master student at HNU (Topic: Reinforcement Learning).
• Wenxin Li, Master student at HNU (Topic: Noisy Label Understanding).
• Chunting Wang, Master student at HNU (Topic: Driving Topology Reasoning).
• Guoliang Zhu, Master student at HNU (Topic: Affordance Understanding).
• Kaixin Lin, Master student at HNU (Topic: Missing View Understanding).
• Yuhang Wang, Master student at HNU (Topic: Spatiotemporal Unerstanding).
• Zhikun Zhou, Master student at HNU (Topic: Language Gaussian Splatting).
• Pujun Guo, Master student at HNU (Topic: Scene Understanding).
• Yu Zheng, Master student at HNU (Topic: Scene Understanding).
• Weixing Feng, Master student at HNU (Topic: Scene Understanding).
• Di Kuang, Master student at HNU (Topic: Scene Understanding).
• Meilin Chen, Master student at HNU (Topic: Scene Understanding).
• Yi Xie, Master student at HNU (Topic: Scene Understanding).
• Shengmin Ou, Master student at HNU (Topic: Scene Understanding).
• Xinyi Li, Master student at HNU (Topic: Scene Understanding).

Former Master Students

• Daniel Bucher, Master student at KIT (Topic: Improving Robustness of 3D Semantic Segmentation via Transformer-based Fusion and Knowledge Distillation), Co-advised with Jiaming Zhang.
• Yu Li, Master student at KIT (Topic: Fisheye Semantic Completion: Unifying Extrapolation and Semantic Completion), Co-advised with Kunyu Peng.
Now data scientist at HiRain Technologies Europe.
• Fei Teng, Master student at KIT (Topic: OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation), Co-advised with Jiaming Zhang.
Now PhD student at HNU.
• Ke Cao, Master student at KIT (Topic: Tightly-coupled LiDAR-visual SLAM Based on Geometric Features), Co-advised with Ze Wang.
Now data scientist at Akkodis.
• Zhifeng Teng, Master student at KIT (Topic: PanoBEV: Panoramic Semantic Mapping from Monocular Egocentric Images to Holistic Bird's Eye View), Co-advised with Jiaming Zhang.
Now data scientist at Solarlab Aiko Europe.
• Zihan Chen, Master student at KIT (Topic: Accessible Chemical Structural Formulas through Interactive Labeling), Co-advised with Merlin Knaeble and Dr. Thorsten Schwarz.
Now data scientist at ZF Automotive Technologies.
• Ruiping Liu, Master student at KIT (Topic: Transformer-based Knowledge Distillation for Efficient Semantic Segmentation).
Now PhD student at KIT.
• Xinyu Luo, Master student at KIT (Topic: Improving Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning with Transformers).
Now data scientist at Bank of Communication.
• Qing Wang, Master student at KIT (Topic: MatchFormer: Interleaving Attention in Transformers for Feature Matching), Co-advised with Jiaming Zhang.
Now data scientist at Huawei.
• Wenyan Ou, Master student at KIT (Topic: Dynamic Visual SLAM with Semantic Information for Seeing Impaired People).
Now data scientist at Continental.
• Huayao Liu, Master student at KIT (Topic: Indoor Scene Understanding for the Visually Impaired Based on Semantic Segmentation).
Now data scientist at NIO.
• Alexander Jaus, Master student at KIT (Topic: Panoramic Panoptic Image Segmentation).
Now PhD student at KIT.
• Chaoxiang Ma, Master student at KIT (Topic: Unsupervised Domain Adaptation for Panoramic Semantic Segmentation), Co-advised with Jiaming Zhang.
Now data scientist at ByteDance.
• Shuo Chen, Master student at KIT (Topic: An Efficient Network for Scene Change Detection).
Now data scientist at Z-ONE.
• Yingzhi Zhang, Master student at KIT (Topic: Assisting the Visually Impaired Based on Scene Recognition and Semantic Segmentation).
Now data scientist at ZongmuTech.
• Lukas Vojkovic, Master student at KIT (Topic: Development and Evaluation of a Computer Vision Based Navigation System for the Visually Impaired).
• Jiaming Zhang, Master student at KIT (Topic: Semantic Segmentation in Accident Scenarios Based on Event Data).
Now PostDoctoral researcher at KIT.
• Haoye Chen, Master student at KIT (Topic: Semantic Visual Localization for Visually Impaired People).
Now data scientist at ZF Automotive Technologies.
• Wei Mao, Master student at KIT (Topic: Efficient Panoptic Segmentation for Navigating the Visually Impaired).
Now data scientist at General Motors.