Seuraa
Yanghao Li
Yanghao Li
Facebook AI Research (FAIR)
Vahvistettu sähköpostiosoite verkkotunnuksessa fb.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Masked autoencoders are scalable vision learners
K He, X Chen, S Xie, Y Li, P Dollár, R Girshick
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
36932022
Multiscale vision transformers
H Fan, B Xiong, K Mangalam, Y Li, Z Yan, J Malik, C Feichtenhofer
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
19462021
Adaptive batch normalization for practical domain adaptation
Y Li, N Wang, J Shi, X Hou, J Liu
Pattern Recognition 80, 109-117, 2018
1086*2018
Scale-aware trident networks for object detection
Y Li, Y Chen, N Wang, Z Zhang
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
9022019
Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks
W Zhu, C Lan, J Xing, W Zeng, Y Li, L Shen, X Xie
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
9022016
Demystifying neural style transfer
Y Li, N Wang, J Liu, X Hou
International Joint Conference on Artificial Intelligence (IJCAI), 2017
6342017
Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
3752022
Mvitv2: Improved multiscale vision transformers for classification and detection
Y Li, CY Wu, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
3662022
Exploring plain vision transformer backbones for object detection
Y Li, H Mao, R Girshick, K He
European Conference on Computer Vision, 280-296, 2022
3612022
PKU-MMD: A large scale benchmark for skeleton-based human action understanding
C Liu, Y Hu, Y Li, S Song, J Liu
Proceedings of the Workshop on Visual Analysis in Smart and Connected …, 2017
275*2017
Masked autoencoders as spatiotemporal learners
C Feichtenhofer, Y Li, K He
Advances in neural information processing systems 35, 35946-35958, 2022
2462022
Online human action detection using joint classification-regression recurrent neural networks
Y Li, C Lan, J Xing, W Zeng, C Yuan, J Liu
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
2092016
Factorized bilinear models for image recognition
Y Li, N Wang, J Liu, X Hou
International Conference on Computer Vision (ICCV), 2017
1792017
Benchmarking detection transfer learning with vision transformers
Y Li, S Xie, X Chen, P Dollar, K He, R Girshick
arXiv preprint arXiv:2111.11429, 2021
1052021
Memvit: Memory-augmented multiscale vision transformer for efficient long-term video recognition
CY Wu, Y Li, K Mangalam, H Fan, B Xiong, J Malik, C Feichtenhofer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
992022
Ego-topo: Environment affordances from egocentric video
T Nagarajan, Y Li, C Feichtenhofer, K Grauman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
992020
Pyslowfast
H Fan, Y Li, B Xiong, WY Lo, C Feichtenhofer
PySlowFast, 2020
912020
Scaling language-image pre-training via masking
Y Li, H Fan, R Hu, C Feichtenhofer, K He
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
782023
Deep Joint Discriminative Learning for Vehicle Re-identification and Retrieval
Y Li, Y Li, H Yan, J Liu
Image Processing (ICIP), 2017 IEEE International Conference on, 2017
672017
Multi-modality multi-task recurrent neural network for online action detection
J Liu, Y Li, S Song, J Xing, C Lan, W Zeng
IEEE Transactions on Circuits and Systems for Video Technology 29 (9), 2667-2682, 2018
572018
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