Kailun Yang

杨恺伦

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Office 307, Building C1, Fenghuangshan Road 66, Yuelu District, Changsha 410012, Hunan, China.
E-Mail:
kailun.yang(at)hnu.edu.cn

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Welcome
I am an Associate Professor at School of Robotics and National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University (HNU). I was a PostDoctoral Researcher at Computer Vision for Human-Computer Interaction (CV:HCI) Lab, Karlsruhe Institute of Technology (KIT), where I worked with Prof. Rainer Stiefelhagen. I obtained my PhD degree in Information Sensing and Instrumentation from Zhejiang University (ZJU). My PhD research was jointly advised by Prof. Kaiwei Wang and Prof. Jian Bai at State Key Laboratory of Modern Optical Instrumentation, ZJU, as well as Prof. Luis Miguel Bergasa at Robotics and eSafety (RobeSafe) Research Group, University of Alcalá (UAH). Before my PhD, I obtained my dual B.S. degrees in Measurement Technology and Instrumentation from Beijing Institute of Technology (BIT) and Economics from Peking University (PKU).

杨恺伦，现任湖南大学机器人学院副教授、博士生导师、硕士生导师。 研究包括基于多模态、高维度、全视角传感的计算光学和计算视觉，以支撑自动驾驶、盲人辅助、运动分析、智能交通系统、可穿戴机器人、多异构机器人等应用。 2014年6月获北京理工大学测控技术与仪器和北京大学经济学双学位，2019年6月获浙江大学测试计量技术及仪器博士学位。 2017年9月至2018年9月在西班牙阿尔卡拉大学（UAH）机器人与电子安全（RobeSafe）研究组进行博士联合培养。 2019年11月至2023年1月在德国卡尔斯鲁厄理工学院（KIT）计算机视觉与人机交互（CV:HCI）实验室进行博士后研究。 在IEEE汇刊TIP、T-ITS、TMM、T-IV、TIM、TCI与计算机视觉、机器人、多媒体顶会CVPR、ECCV、IROS、MM等期刊会议上发表论文100余篇，现拥有及与他人合有专利40余项，盲人视觉辅助眼镜获数千万Pre-A轮融资。 谷歌学术引用2700+，H指数31。 获智能车国际会议IEEE IV 2021最佳论文奖，ECCV2022、ACCV2022杰出审稿人奖。 担任机器人顶会IEEE ICRA 2023 AE和智能车国际会议IEEE IV 2022 BSL研讨会主席。 指导学生毕业在卡尔斯鲁厄理工学院、牛津大学、华为、字节跳动、蔚来汽车等单位深造或工作。

2024年有若干博士、硕士招生名额。 如果您对 {computer vision, deep learning, scene understanding, autonomous driving} 感兴趣， 想到湖南大学机器人学院攻读博士、硕士学位， 或者想和我们开展科研合作， 请发送邮件到 {kailun.yang at hnu.edu.cn} 。 研究小组非常年轻，沟通融洽，除了本小组成员外，还和卡尔斯鲁厄理工学院、浙江大学光电学院、湖南大学机器人学院的其他导师的学生一起共同学习与科研，可以充分交叉协作创新。

Current Students

• Fei Teng, PhD student at HNU (Topic: Scene Understanding).
• Yizhou Huang, PhD student at HNU (Topic: Affordance Segmentation), Co-advising with Prof. Zhiyong Li.
• Jiawei Liu, Master student at HNU (Topic: Light-Field Scene Understanding), Co-advising with Prof. Zhiyong Li.
• Jiayi Zhao, Master student at HNU (Topic: Hyperspectral Scene Understanding), Co-advising with Prof. Zhiyong Li.
• Jiaming Zhang, PhD student at KIT and Oxford (Topic: Scene Understanding for Intelligent Transportation and Mobility Assistance Systems), Co-advising with Prof. Rainer Stiefelhagen and Prof. Philip Torr.
• Hao Shi, PhD student at ZJU (Topic: Temporal Scene Understanding), Co-advising with Prof. Kaiwei Wang.
• Kunyu Peng, PhD student at KIT (Topic: Towards Generalizable Deep Learning Based Human Action Recognition), Co-advising with Prof. Rainer Stiefelhagen and Prof. Alina Roitberg.
• Qi Jiang, PhD student at ZJU (Topic: Computational Imaging Solution to Minimalist Panoramic Optical System and Related Applications), Co-advising with Prof. Kaiwei Wang.
• Junwei Zheng, PhD Student at KIT (Topic: Vision-Language Navigation for Mobility Assistance), Co-advising with Prof. Rainer Stiefelhagen and Prof. Kathrin Gerling.
• Ruiping Liu, PhD student at KIT (Topic: Seamless Efficiency for Visual Perception in Assistive Systems), Co-advising with Prof. Rainer Stiefelhagen.
• Xuan He, PhD student at HNU (Topic: Monocular 3D Object Detection), Co-advising with Prof. Zhiyong Li and Prof. Jin Yuan.
• Ze Wang, PhD student at ZJU (Topic: Visual Odometry and SLAM), Co-advising with Prof. Kaiwei Wang and Prof. Fei Gao.
• Yihong Cao, PhD student at HNU (Topic: Unsupervised Domain Adaptation), Co-advising with Prof. Hui Zhang and Prof. Yaonan Wang.
• Jiacheng Lin, PhD student at HNU (Topic: Interactive Image Segmentation), Co-advising with Prof. Zhiyong Li.
• Jinghang Li, PhD student at HNU (Topic: Event-based Vision), Co-advising with Prof. Yi Zhou.
• Siyu Li, PhD student at HNU (Topic: BEV Scene Understanding), Co-advising with Prof. Zhiyong Li.
• Zhonghua Yi, PhD student at ZJU (Topic: Optical Flow Estimation), Co-advising with Prof. Kaiwei Wang.
• Xu Zhang, PhD student at HNU (Topic: Interactive Image Segmentation), Co-advising with Prof. Jin Yuan and Prof. Zhiyong Li.
• Shaohua Gao, PhD student at ZJU (Topic: Panoramic Scene Perception), Co-advising with Prof. Kaiwei Wang and Prof. Jian Bai.
• Jiajun Chen, Master student at HNU (Topic: Referring Video Object Segmentation), Co-advising with Prof. Zhiyong Li.
• Daniel Bucher, Master student at KIT (Topic: Camera and LiDAR Fusion for Semantic Segmentation).

Former Students

• Yu Li, Master student at KIT (Co-advised with Kunyu Peng), (Topic: FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation).
• Fei Teng, Master student at KIT (Co-advised with Jiaming Zhang), (Topic: OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation).
Now PhD student at HNU.
• Ke Cao, Master student at KIT (Co-advised with Ze Wang), (Topic: Tightly-coupled LiDAR-visual SLAM Based on Geometric Features).
• Zhifeng Teng, Master student at KIT (Co-advised with Jiaming Zhang), (Topic: PanoBEV: Panoramic Semantic Mapping from Monocular Egocentric Images to Holistic Bird's Eye View).
Now data scientist at Solarlab Aiko Europe.
• Zihan Chen, Master student at KIT (Co-advised with Merlin Knaeble and Dr. Thorsten Schwarz), (Topic: Accessible Chemical Structural Formulas through Interactive Labeling).
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 (Co-advised with Jiaming Zhang), (Topic: MatchFormer: Interleaving Attention in Transformers for Feature Matching).
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 (Co-advised with Jiaming Zhang), (Topic: Unsupervised Domain Adaptation for Panoramic Semantic Segmentation).
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 PhD student at KIT and Oxford.
• 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 吉咖智能机器人.

Publications