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Zhangjie Cao
Zhangjie Cao
Ph.D. of Computer Science, Stanford University
Geverifieerd e-mailadres voor stanford.edu - Homepage
Titel
Geciteerd door
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Conditional adversarial domain adaptation
M Long, Z Cao, J Wang, MI Jordan
Advances in neural information processing systems 31, 2018
23832018
Multi-adversarial domain adaptation
Z Pei, Z Cao, M Long, J Wang
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
8782018
Hashnet: Deep learning to hash by continuation
Z Cao, M Long, J Wang, PS Yu
Proceedings of the IEEE international conference on computer vision, 5608-5617, 2017
7602017
Transferable representation learning with deep adaptation networks
M Long, Y Cao, Z Cao, J Wang, MI Jordan
IEEE transactions on pattern analysis and machine intelligence 41 (12), 3071 …, 2018
5342018
Universal domain adaptation
K You, M Long, Z Cao, J Wang, MI Jordan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
5132019
Partial adversarial domain adaptation
Z Cao, L Ma, M Long, J Wang
Proceedings of the European conference on computer vision (ECCV), 135-150, 2018
5052018
Partial transfer learning with selective adversarial networks
Z Cao, M Long, J Wang, MI Jordan
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4862018
Learning to transfer examples for partial domain adaptation
Z Cao, K You, M Long, J Wang, Q Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3322019
Learning multiple tasks with multilinear relationship networks
M Long, Z Cao, J Wang, PS Yu
Advances in neural information processing systems 30, 2017
3322017
Separate to adapt: Open set domain adaptation via progressive separation
H Liu, Z Cao, M Long, J Wang, Q Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3152019
Few-shot video classification via temporal alignment
K Cao, J Ji, Z Cao, CY Chang, JC Niebles
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2382020
Robust learning through cross-task consistency
AR Zamir, A Sax, N Cheerla, R Suri, Z Cao, J Malik, LJ Guibas
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1622020
Learning to detect open classes for universal domain adaptation
B Fu, Z Cao, M Long, J Wang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1592020
Spatiotemporal relationship reasoning for pedestrian intent prediction
B Liu, E Adeli, Z Cao, KH Lee, A Shenoi, A Gaidon, JC Niebles
IEEE Robotics and Automation Letters 5 (2), 3485-3492, 2020
1512020
Open domain generalization with domain-augmented meta-learning
Y Shu, Z Cao, C Wang, J Wang, M Long
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1292021
Transferable curriculum for weakly-supervised domain adaptation
Y Shu, Z Cao, M Long, J Wang
Proceedings of the AAAI conference on artificial intelligence 33 (01), 4951-4958, 2019
1102019
Adversarial cross-domain action recognition with co-attention
B Pan, Z Cao, E Adeli, JC Niebles
Proceedings of the AAAI conference on artificial intelligence 34 (07), 11815 …, 2020
1062020
3d object classification via spherical projections
Z Cao, Q Huang, R Karthik
2017 international conference on 3D Vision (3DV), 566-574, 2017
852017
Transferable query selection for active domain adaptation
B Fu, Z Cao, J Wang, M Long
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
732021
Reinforcement learning based control of imitative policies for near-accident driving
Z Cao, E Bıyık, WZ Wang, A Raventos, A Gaidon, G Rosman, D Sadigh
arXiv preprint arXiv:2007.00178, 2020
632020
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Artikelen 1–20