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Tiejun Huang
Tiejun Huang
Professor,School of Computer Science, Peking University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Point-bert: Pre-training 3d point cloud transformers with masked point modeling
X Yu, L Tang, Y Rao, T Huang, J Zhou, J Lu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
11572022
Eva: Exploring the limits of masked visual representation learning at scale
Y Fang, W Wang, B Xie, Q Sun, L Wu, X Wang, T Huang, X Wang, Y Cao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
10912023
Deep relative distance learning: Tell the difference between similar vehicles
H Liu, Y Tian, Y Yang, L Pang, T Huang
Proceedings of the IEEE conference on computer vision and pattern …, 2016
9522016
Incorporating learnable membrane time constant to enhance learning of spiking neural networks
W Fang, Z Yu, Y Chen, T Masquelier, T Huang, Y Tian
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
9392021
Deep residual learning in spiking neural networks
W Fang, Z Yu, Y Chen, T Huang, T Masquelier, Y Tian
Advances in Neural Information Processing Systems 34, 21056-21069, 2021
8452021
Bi-directional cascade network for perceptual edge detection
J He, S Zhang, M Yang, Y Shan, T Huang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
6432019
Graph convolutional reinforcement learning
J Jiang, C Dun, T Huang, Z Lu
arXiv preprint arXiv:1810.09202, 2018
6122018
Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching
S Zhang, S Zhang, T Huang, W Gao
IEEE transactions on multimedia 20 (6), 1576-1590, 2017
5392017
Emu3: Next-token prediction is all you need
X Wang, X Zhang, Z Luo, Q Sun, Y Cui, J Wang, F Zhang, Y Wang, Z Li, ...
arXiv preprint arXiv:2409.18869, 2024
4802024
Eva-02: A visual representation for neon genesis
Y Fang, Q Sun, X Wang, T Huang, X Wang, Y Cao
Image and Vision Computing 149, 105171, 2024
4752024
Generative multimodal models are in-context learners
Q Sun, Y Cui, X Zhang, F Zhang, Q Yu, Y Wang, Y Rao, J Liu, T Huang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
4622024
Unsupervised cross-dataset transfer learning for person re-identification
P Peng, T Xiang, Y Wang, M Pontil, S Gong, T Huang, Y Tian
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4592016
Learning affective features with a hybrid deep model for audio–visual emotion recognition
S Zhang, S Zhang, T Huang, W Gao, Q Tian
IEEE transactions on circuits and systems for video technology 28 (10), 3030 …, 2017
4042017
Emu: Generative pretraining in multimodality
Q Sun, Q Yu, Y Cui, F Zhang, X Zhang, Y Wang, H Gao, J Liu, T Huang, ...
arXiv preprint arXiv:2307.05222, 2023
4032023
Images speak in images: A generalist painter for in-context visual learning
X Wang, W Wang, Y Cao, C Shen, T Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
3792023
Seggpt: Segmenting everything in context
X Wang, X Zhang, Y Cao, W Wang, C Shen, T Huang
arXiv preprint arXiv:2304.03284, 2023
3682023
Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks
T Bu, W Fang, J Ding, PL Dai, Z Yu, T Huang
arXiv preprint arXiv:2303.04347, 2023
3582023
Video coding for machines: A paradigm of collaborative compression and intelligent analytics
L Duan, J Liu, W Yang, T Huang, W Gao
IEEE Transactions on Image Processing 29, 8680-8695, 2020
3302020
Learning open set network with discriminative reciprocal points
G Chen, L Qiao, Y Shi, P Peng, J Li, T Huang, S Pu, Y Tian
European conference on computer vision, 507-522, 2020
3232020
Mlvu: A comprehensive benchmark for multi-task long video understanding
J Zhou, Y Shu, B Zhao, B Wu, S Xiao, X Yang, Y Xiong, B Zhang, T Huang, ...
arXiv e-prints, arXiv: 2406.04264, 2024
3102024
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