Prati
Haoqi Fan
Haoqi Fan
Facebook AI Research
Potvrđena adresa e-pošte na fb.com - Početna stranica
Naslov
Citirano
Citirano
Godina
Momentum contrast for unsupervised visual representation learning
K He, H Fan, Y Wu, S Xie, R Girshick
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
72482020
Slowfast networks for video recognition
C Feichtenhofer, H Fan, J Malik, K He
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
22202019
Improved baselines with momentum contrastive learning
X Chen, H Fan, R Girshick, K He
arXiv preprint arXiv:2003.04297, 2020
21082020
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
5852021
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Y Chen, H Fan, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng
arXiv preprint arXiv:1904.05049, 2019
4792019
Long-term feature banks for detailed video understanding
CY Wu, C Feichtenhofer, H Fan, K He, P Krahenbuhl, R Girshick
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4352019
Going deeper into first-person activity recognition
M Ma, H Fan, KM Kitani
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
3642016
Masked feature prediction for self-supervised visual pre-training
C Wei, H Fan, S Xie, CY Wu, A Yuille, C Feichtenhofer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2602022
Improved multiscale vision transformers for classification and detection
Y Li, CY Wu, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer
arXiv preprint arXiv:2112.01526, 2021
197*2021
A large-scale study on unsupervised spatiotemporal representation learning
C Feichtenhofer, H Fan, B Xiong, R Girshick, K He
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1592021
Masked autoencoders as spatiotemporal learners
C Feichtenhofer, H Fan, Y Li, K He
Advances in neural information processing systems 35, 35946-35958, 2022
1252022
Hit: Hierarchical transformer with momentum contrast for video-text retrieval
S Liu, H Fan, S Qian, Y Chen, W Ding, Z Wang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
932021
pyslowfast
H Fan, Y Li, B Xiong, WY Lo, C Feichtenhofer
https://github. com/facebookresearch/slowfast, 2020
732020
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
542022
Improved baselines with momentum contrastive learning. arXiv 2020
X Chen, H Fan, R Girshick, K He
arXiv preprint arXiv:2003.04297, 2003
512003
Efficient k-shot learning with regularized deep networks
D Yoo, H Fan, V Boddeti, K Kitani
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
402018
Stacked latent attention for multimodal reasoning
H Fan, J Zhou
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
402018
Can temporal information help with contrastive self-supervised learning?
Y Bai, H Fan, I Misra, G Venkatesh, Y Lu, Y Zhou, Q Yu, V Chandra, ...
arXiv preprint arXiv:2011.13046, 2020
332020
Multiview pseudo-labeling for semi-supervised learning from video
B Xiong, H Fan, K Grauman, C Feichtenhofer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
312021
PyTorchVideo: A Deep Learning Library for Video Understanding
H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ...
Proceedings of the 29th ACM International Conference on Multimedia, 2021
282021
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