Xiangtai Li
Xiangtai Li
MMLab@NTU, S-Lab, Nanyang Technological University
Verified email at - Homepage
Cited by
Cited by
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-2020 (oral), 2020
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, 2021
Dual graph convolutional network for semantic segmentation
L Zhang*, X Li*, A Arnab, K Yang, Y Tong, PHS Torr
BMVC-2019, 2019
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, 2020
Gated Fully Fusion for Semantic Segmentation
X Li, H Zhao, L Han, Y Tong, S Tan, K Yang
AAAI-2020 (oral), 2020
Global aggregation then local distribution for scene parsing
X Li, L Zhang, G Cheng, K Yang, Y Tong, X Zhu, T Xiang
IEEE TIP 30, 6829-6842, 2021
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-2022, 2022
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
X Li, H He, X Li, D Li, G Cheng, J Shi, L Weng, Y Tong, Z Lin
CVPR-2021, 2021
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-2022 (oral), 2022
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, 2022
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, 2021
Convolution-enhanced Evolving Attention Networks
Y Wang, Y Yang, Z Li, J Bai, M Zhang, X Li, J Yu, C Zhang, G Huang, ...
T-PAMI-2022, 2022
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
X Li, S Xu, G Cheng, Y Yibo, Y Tong, D Tao
ECCV-2022, 2022
Video semantic segmentation via sparse temporal transformer
J Li, W Wang, J Chen, L Niu, J Si, C Qian, L Zhang
Proceedings of the 29th ACM International Conference on Multimedia, 59-68, 2021
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
H Yuan*, X Li*, Y Yang, G Cheng, J Zhang, Y Tong, L Zhang, D Tao
ECCV-2022; Winner of ICCV-2021-BMTT workshop-2rd track, 2021
Towards Efficient Scene Understanding via Squeeze Reasoning
X Li, X Li, A You, L Zhang, G Cheng, K Yang, Y Tong, Z Lin
IEEE-TIP-2021, 2020
Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
S Xu*, X Li*, J Wang, G Cheng, Y Tong, D Tao
ECCV-2022, 2022
EatFormer: improving vision transformer inspired by evolutionary algorithm
J Zhang, X Li, Y Wang, C Wang, Y Yang, Y Liu, D Tao
arXiv preprint arXiv:2206.09325, 2022
Multi-Task Learning with Multi-query Transformer for Dense Prediction
Y Xu*, X Li*, H Yuan, Y Yang, J Zhang, Y Tong, L Zhang, D Tao
arXiv preprint arXiv:2205.14354, 2022
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-2023, 2023
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