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Xiangtai Li
Xiangtai Li
Research Scientist, TikTok, SG; Nanyang Technological University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Semantic flow for fast and accurate scene parsing
X Li, A You, Z Zhu, H Zhao, M Yang, K Yang, S Tan, Y Tong
ECCV (oral), 2020
4732020
Involution: Inverting the Inherence of Convolution for Visual Recognition
D Li, J Hu, C Wang, X Li, Q She, L Zhu, T Zhang, Q Chen
CVPR, 2021
4142021
Improving semantic segmentation via decoupled body and edge supervision
X Li, X Li, L Zhang, G Cheng, J Shi, Z Lin, S Tan, Y Tong
ECCV, 2020
3012020
Dual graph convolutional network for semantic segmentation
L Zhang*, X Li*, A Arnab, K Yang, Y Tong, PHS Torr
BMVC, 2019
2472019
Gated Fully Fusion for Semantic Segmentation
X Li, H Zhao, L Han, Y Tong, S Tan, K Yang
AAAI (oral), 2020
2322020
TransVOD: end-to-end video object detection with spatial-temporal transformers
Q Zhou*, X Li*, L He, Y Yang, G Cheng, Y Tong, L Ma, D Tao
T-PAMI, 2023
1432023
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
P Lu, T Jiang, Y Li, X Li, K Chen, W Yang
CVPR, 2024
132*2024
Rethinking mobile block for efficient neural models
J Zhang, X Li, J Li, L Liu, Z Xue, B Zhang, Z Jiang, T Huang, Y Wang, ...
ICCV, 2023
125*2023
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
X Li, H He, X Li, G Cheng, J Shi, L Weng, Y Tong, Z Lin
CVPR, 2021
1192021
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Y Yang, H Yuan, X Li, Z Lin, P Torr, D Tao
ICLR-spotlight, 2023
1172023
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Y Yang, S Chen, X Li, L Xie, Z Lin, D Tao
NeurIPS, 2022
1072022
End-to-end video object detection with spatial-temporal transformers
L He*, Q Zhou*, X Li*, L Niu, G Cheng, X Li, W Liu, Y Tong, L Ma, L Zhang
ACM-MM, 2021
1062021
Towards Open Vocabulary Learning: A Survey
J Wu*, X Li*, S Xu*, H Yuan*, H Ding, Y Yang, X Li, J Zhang, Y Tong, ...
T-PAMI, 2024
1032024
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
X Li*, W Zhang*, J Pang*, K Chen, G Cheng, Y Tong, CC Loy
CVPR (oral), 2022
942022
Global aggregation then local distribution for scene parsing
X Li, L Zhang, G Cheng, K Yang, Y Tong, X Zhu, T Xiang
IEEE-TIP and BMVC-19, 2021
88*2021
Transformer-based visual segmentation: A survey
X Li, H Ding, H Yuan, W Zhang, J Pang, G Cheng, K Chen, Z Liu, CC Loy
T-PAMI, 2024
862024
Enhanced Boundary Learning for Glass-like Object Segmentation
H He*, X Li*, G Cheng, J Shi, Y Tong, G Meng, V Prinet, L Weng
ICCV, 2021
772021
Tube-link: A flexible cross tube baseline for universal video segmentation
X Li, H Yuan, W Zhang, G Cheng, J Pang, CC Loy
ICCV, 2023
48*2023
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
X Li, S Xu, G Cheng, Y Yibo, Y Tong, D Tao
ECCV, 2022
482022
Point Cloud Mamba: Point Cloud Learning via State Space Model
T Zhang, H Yuan, L Qi, J Zhang, Q Zhou, S Ji, S Yan, X Li
arXiv preprint arXiv:2403.00762, 2024
472024
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