Segui
Tian Han
Tian Han
Stevens Insititute of Technology
Email verificata su stevens.edu
Titolo
Citata da
Citata da
Anno
Alternating back-propagation for generator network
T Han, Y Lu, SC Zhu, YN Wu
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1482017
On the anatomy of mcmc-based maximum likelihood learning of energy-based models
E Nijkamp, M Hill, T Han, SC Zhu, YN Wu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5272-5280, 2020
1422020
Learning latent space energy-based prior model
B Pang, T Han, E Nijkamp, SC Zhu, YN Wu
Advances in Neural Information Processing Systems 33, 21994-22008, 2020
1162020
Survey on person re‐identification based on deep learning
K Wang, H Wang, M Liu, X Xing, T Han
CAAI Transactions on Intelligence Technology 3 (4), 219-227, 2018
692018
Divergence triangle for joint training of generator model, energy-based model, and inferential model
T Han, E Nijkamp, X Fang, M Hill, SC Zhu, YN Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
632019
Learning multi-layer latent variable model via variational optimization of short run mcmc for approximate inference
E Nijkamp, B Pang, T Han, L Zhou, SC Zhu, YN Wu
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
432020
Joint training of variational auto-encoder and latent energy-based model
T Han, E Nijkamp, L Zhou, B Pang, SC Zhu, YN Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
392020
Parsing façade with rank-one approximation
C Yang, T Han, L Quan, CL Tai
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1720-1727, 2012
352012
Unsupervised disentangling of appearance and geometry by deformable generator network
X Xing, T Han, R Gao, SC Zhu, YN Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
332019
Deformable generator networks: unsupervised disentanglement of appearance and geometry
X Xing, R Gao, T Han, SC Zhu, YN Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1162-1179, 2020
322020
Neuro-symbolic program search for autonomous driving decision module design
J Sun, H Sun, T Han, B Zhou
Conference on Robot Learning, 21-30, 2021
312021
Star: Sparse transformer-based action recognition
F Shi, C Lee, L Qiu, Y Zhao, T Shen, S Muralidhar, T Han, SC Zhu, ...
arXiv preprint arXiv:2107.07089, 2021
272021
A tale of three probabilistic families: Discriminative, descriptive, and generative models
YN Wu, R Gao, T Han, SC Zhu
Quarterly of Applied Mathematics 77 (2), 423-465, 2019
222019
Context-aware health event prediction via transition functions on dynamic disease graphs
C Lu, T Han, Y Ning
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4567-4574, 2022
152022
Lavs: A lightweight audio-visual saliency prediction model
D Zhu, D Zhao, X Min, T Han, Q Zhou, S Yu, Y Chen, G Zhai, X Yang
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
102021
Learning latent space energy-based prior model for molecule generation
B Pang, T Han, YN Wu
arXiv preprint arXiv:2010.09351, 2020
102020
Learning generator networks for dynamic patterns
T Han, Y Lu, J Wu, X Xing, YN Wu
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 809-818, 2019
102019
Adaptive multi-stage density ratio estimation for learning latent space energy-based model
Z Xiao, T Han
Advances in Neural Information Processing Systems 35, 21590-21601, 2022
82022
Learning multi-view generator network for shared representation
T Han, X Xing, YN Wu
2018 24th International Conference on Pattern Recognition (ICPR), 2062-2068, 2018
82018
Towards multi-scale deep features learning with correlation metric for person re-identification
D Zhu, Q Zhou, T Han, Y Chen, D Zhao, X Yang
Knowledge-Based Systems 213, 106675, 2021
72021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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