My research area is 3D vision, especially 3D scene reconstruction and generation, with a recent focus on neural rendering for large-scale scenes. My previous research interest was video understanding and spatial-temporal action detection.
• 02/2024 One paper accepted by CVPR 2024.
• 02/2024 One paper accepted by TIP.
• 06/2023 One paper accepted by ICCV 2023.
• 10/2021 I got the National Scholarship.
• 07/2021 One paper accepted by ICCV 2021.
• 06/2021 We got the first place in the HC-STVG track of the CVPR 2021 workshop Person in Context.
• 04/2021 I was a student co-organizer of ICCV 2021 Workshop DeeperAction.
• 10/2020 I got the National Scholarship.
• 06/2020 One paper accepted by ECCV 2020.
We present a simple end-to-end action tube detection method, which reduces the dense hand-crafted anchors, captures longer temporal information and explictly predicts the action boundary.
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang.
ICCV, 2021
one track of ICCV2021, ECCV2022 Workshop DeeperAction.
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code
A fine-grained and large-scale spatial-temporal action detection dataset with 4 different sports, 66 action categories.
Actions as Moving Points Yixuan Li*, Zixu Wang*, Limin Wang, Gangshan Wu.
ECCV, 2020
paper /
code
A conceptually simple, computationally efficient, and more precise anchor-free action tubelet detector.
Professional Services
• Conference reviewer for CVPR, ICCV, ECCV.
• Journal reviewer for Pattern Recognition, TCSVT, Neurocomputing.
• Co-organizer of DeeperAction Workshop at ICCV 2021 and ECCV 2022.