Lei Ke - CSE

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Lei Ke

Ph.D. Student at CSE, HKUST

I am a Ph.D. student in the CSE Department at HKUST, supervised by Chi-Keung Tang and Yu-Wing Tai. I am now visiting the Computer Vision Lab at ETH Zürich, working with Fisher Yu and Martin Danelljan. I focus on image/video instance segmentation and object tracking, and am interested in its related applications. Prior to that, I received my B.E. degree in Software Engineering from Wuhan University.

More info: [Email],[Resume],[Google Scholar], [GitHub].

Updates

2021.03: PCAN serves as the baseline in BDD100K MOTS challenge at CVPR 2022 Workshop on Autonomous Driving.
2021.03: Mask Transfiner on high-quality instance segmentation is accepted by CVPR 2022!
2022.03: Invited talk on PCAN at AI Time Seminar, Tsinghua Univ (Virtual).
2022.02: Invited talk on Mutltiple Object Tracking & Segmentation in Autonomous Driving at TechBeat.
2021.12: Invited spotlight talk for PCAN at SwissTech Convention Center, EPFL.
2021.10: PCAN for Multiple Object Tracking and Segmentation is accepted by NeurIPS 2021 as spotlight.
2021.07: Our paper on occlusion-aware video inpainting accepted by ICCV 2021.
2021.01: I joined CVL at ETHz as a visiting PhD student supervised by Prof.Fisher Yu and Dr.Martin Danelljan.
2021.03: Our paper BCNet on occlusion-aware instance segmentation accepted by CVPR 2021!
2021.10: Passed the PhD Qualifying Exam.
2020.07: Two papers (GSNet and CPMask) accepted by ECCV 2020.
2020.02: Our paper on 3D human pose estimation has been accepted by CVPR 2020 for oral presentation.
2019.07: Our paper on image captioning accepted by ICCV 2019.
2019.05: I will start my Ph.D study at CSE, HKUST this autumn.
2019.02: Our paper on video captioning accepted by CVPR 2019.

Highlight Videos

Recent Publications

	Mask Transfiner for High-Quality Instance Segmentation CVPR 2022 Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu An efficient transformer-based method for highly accurate instance segmentation. Transfiner receives 300+ Github stars in 3 months. [Paper] [arXiv] [Project] [Website] [Youtube] [Blog] [Zhihu]
	Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation NeurIPS 2021 Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu Efficient cross-attention on space-time memory for video instance segmentation. Spotlight (3% acceptance rate). PCAN receives 200+ Github stars in one month. [Paper] [arXiv] [Project] [Youtube] [Poster] [Zhihu]
	Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers CVPR 2021 Lei Ke, Yu-Wing Tai, Chi-Keung Tang Instance segmentation with bilayer decoupling structure for occluder & occludee. BCNet receives 300+ Github stars in 6 months. [Paper] [arXiv] [Project] [Zhihu] [Video] [Poster]
	Occlusion-Aware Video Object Inpainting ICCV 2021 Lei Ke, Yu-Wing Tai, Chi-Keung Tang [Paper] [arXiv] [Project & Dataset]
	Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation ECCV 2020 Qi Fan, Lei Ke, Wenjie Pei, Chi-Keung Tang, Yu-Wing Tai *( denotes equal contribution)** [Paper] [arXiv] [Project]
	GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision ECCV 2020 Lei Ke, Shichao Li, Yanan Sun, Yu-Wing Tai, Chi-Keung Tang [Paper] [arXiv] [Supp] [Project]
	Cascaded Deep Monocular 3D Human Pose Estimation with Evolutionary Training Data CVPR 2020 Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang, Kwang-Ting Cheng Oral Presentation, 5.03% acceptance rate [Paper] [Supp] [arXiv] [Project]
	Reflective Decoding Network for Image Captioning ICCV 2019 Lei Ke, Wenjie Pei, Ruiyu Li, Xiaoyong Shen, Yu-Wing Tai [Paper] [Supp] [arXiv] [Poster] [Project]
	Memory-Attended Recurrent Network for Video Captioning CVPR 2019 Wenjie Pei, Jiyuan Zhang, Xiangrong Wang, Lei Ke, Xiaoyong Shen and Yu-Wing Tai [Paper] [arXiv]

Experiences

	2021.01—Future: Visiting PhD student at CVL, ETHz
	2019.05—Future: HKUST Computer Vision Research Assistant
	2017.11—2019.11: Tencent Youtu X-lab Computer Vision Research Intern, worked closely with Wenjie Pei.
	2017.05—2017.10: Alibaba Engineering Intern
	2016.05—2017.02: Undergraduate Research Assistant at Wuhan University