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Books and Theses
- 2020
[b1]Xingchao Peng:
Domain adaptive learning with disentangled features. Boston University, USA, 2020
Conference and Workshop Papers
- 2021
- [c14]Masaki Yamazaki, Xingchao Peng, Kuniaki Saito, Ping Hu, Kate Saenko
, Yasuhiro Taniguchi:
Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation. MVA 2021: 1-5 - 2020
- [c13]Shuhan Tan, Xingchao Peng, Kate Saenko:
Class-Imbalanced Domain Adaptation: An Empirical Odyssey. ECCV Workshops (1) 2020: 585-602 - [c12]Xingchao Peng, Yichen Li, Kate Saenko:
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. ECCV (6) 2020: 756-774 - [c11]Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko:
Federated Adversarial Domain Adaptation. ICLR 2020 - 2019
- [c10]Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang:
Moment Matching for Multi-Source Domain Adaptation. ICCV 2019: 1406-1415 - [c9]Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko:
Domain Agnostic Learning with Disentangled Representations. ICML 2019: 5102-5112 - 2018
- [c8]Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko:
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. CVPR Workshops 2018: 2021-2026 - [c7]Ulrich Viereck, Xingchao Peng, Kate Saenko, Robert Platt Jr.:
Adapting Control Policies from Simulation to Reality Using a Pairwise Loss. ISER 2018: 256-266 - [c6]Xingchao Peng, Kate Saenko:
Synthetic to Real Adaptation with Generative Correlation Alignment Networks. WACV 2018: 1982-1991 - 2017
- [c5]Baochen Sun, Xingchao Peng, Stella X. Yu, Kate Saenko:
Ground2sky label transfer for fine-grained aerial car recognition. ICIP 2017: 360-364 - 2016
- [c4]Xingchao Peng, Kate Saenko:
Combining Texture and Shape Cues for Object Recognition with Minimal Supervision. ACCV (4) 2016: 256-272 - [c3]Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko:
Fine-to-coarse knowledge transfer for low-res image classification. ICIP 2016: 3683-3687 - 2015
- [c2]Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko:
Learning Deep Object Detectors from 3D Models. ICCV 2015: 1278-1286 - [c1]Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko:
What Do Deep CNNs Learn About Objects? ICLR (Workshop) 2015
Informal and Other Publications
- 2020
- [i14]Xingchao Peng, Yichen Li, Kate Saenko:
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. CoRR abs/2007.09257 (2020) - [i13]Yichen Li, Xingchao Peng:
Network Architecture Search for Domain Adaptation. CoRR abs/2008.05706 (2020) - 2019
- [i12]Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko:
Domain Agnostic Learning with Disentangled Representations. CoRR abs/1904.12347 (2019) - [i11]Shuhan Tan, Xingchao Peng, Kate Saenko:
Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment. CoRR abs/1910.10320 (2019) - [i10]Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko:
Federated Adversarial Domain Adaptation. CoRR abs/1911.02054 (2019) - [i9]Yichen Li, Xingchao Peng:
Learning Domain Adaptive Features with Unlabeled Domain Bridges. CoRR abs/1912.05004 (2019) - 2018
- [i8]Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko:
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. CoRR abs/1806.09755 (2018) - [i7]Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang:
Moment Matching for Multi-Source Domain Adaptation. CoRR abs/1812.01754 (2018) - 2017
- [i6]Xingchao Peng, Kate Saenko:
Synthetic to Real Adaptation with Deep Generative Correlation Alignment Networks. CoRR abs/1701.05524 (2017) - [i5]Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko:
VisDA: The Visual Domain Adaptation Challenge. CoRR abs/1710.06924 (2017) - 2016
- [i4]Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko:
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification. CoRR abs/1605.06695 (2016) - [i3]Xingchao Peng, Kate Saenko:
Combining Texture and Shape Cues for Object Recognition With Minimal Supervision. CoRR abs/1609.04356 (2016) - 2015
- [i2]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell:
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. CoRR abs/1511.07111 (2015) - 2014
- [i1]Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko:
Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images. CoRR abs/1412.7122 (2014)
Coauthor Index
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