Követés
Xiangtai Li
Xiangtai Li
Research Scientist, ByteDance / TikTok, Singapore
E-mail megerősítve itt: bytedance.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
4262020
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
3702021
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
2762020
Dual graph convolutional network for semantic segmentation
L Zhang*, X Li*, A Arnab, K Yang, Y Tong, PHS Torr
BMVC, 2019
2292019
Gated Fully Fusion for Semantic Segmentation
X Li, H Zhao, L Han, Y Tong, S Tan, K Yang
AAAI (oral), 2020
2162020
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
1082021
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
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
1042022
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
922021
Global aggregation then local distribution for scene parsing
X Li, L Zhang, G Cheng, K Yang, Y Tong, X Zhu, T Xiang
IEEE-TIP, 2021
87*2021
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
802023
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
792022
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
762022
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
69*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
64*2023
Towards Open Vocabulary Learning: A Survey
J Wu, X Li, S Xu, H Yuan, H Ding, Y Yang, X Li, J Zhang, Y Tong, X Jiang, ...
T-PAMI, 2024
622024
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
622021
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
582024
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
X Li, S Xu, G Cheng, Y Yibo, Y Tong, D Tao
ECCV, 2022
372022
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
IEEE Transactions on Circuits and Systems for Video Technology, 2023
352023
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
34*2023
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20