Xingchao Peng

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 24

Top Topics

Semantic Segmentation

Manifold Alignment

Transfer Learning

Object Detectors

Top Venues

Publications

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)
Yichen Li, Xingchao Peng
Network Architecture Search for Domain Adaptation. CoRR (2020)
Xingchao Peng, Yichen Li, Kate Saenko
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. ECCV (6) (2020)
Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko
Federated Adversarial Domain Adaptation. ICLR (2020)
Shuhan Tan, Xingchao Peng, Kate Saenko
Class-Imbalanced Domain Adaptation: An Empirical Odyssey. ECCV Workshops (1) (2020)
Xingchao Peng, Yichen Li, Kate Saenko
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. CoRR (2020)
Shuhan Tan, Xingchao Peng, Kate Saenko
Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment. CoRR (2019)
Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko
Domain Agnostic Learning with Disentangled Representations. ICML (2019)
Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko
Federated Adversarial Domain Adaptation. CoRR (2019)
Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
Moment Matching for Multi-Source Domain Adaptation. ICCV (2019)
Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko
Domain Agnostic Learning with Disentangled Representations. CoRR (2019)
Yichen Li, Xingchao Peng
Learning Domain Adaptive Features with Unlabeled Domain Bridges. CoRR (2019)
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)
Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. CoRR (2018)
Ulrich Viereck, Xingchao Peng, Kate Saenko, Robert Platt Jr.
Adapting Control Policies from Simulation to Reality Using a Pairwise Loss. ISER (2018)
Xingchao Peng, Kate Saenko
Synthetic to Real Adaptation with Generative Correlation Alignment Networks. WACV (2018)
Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
Moment Matching for Multi-Source Domain Adaptation. CoRR (2018)
Xingchao Peng, Kate Saenko
Synthetic to Real Adaptation with Deep Generative Correlation Alignment Networks. CoRR (2017)
Baochen Sun, Xingchao Peng, Stella X. Yu, Kate Saenko
Ground2sky label transfer for fine-grained aerial car recognition. ICIP (2017)
Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko
VisDA: The Visual Domain Adaptation Challenge. CoRR (2017)
Xingchao Peng, Kate Saenko
Combining Texture and Shape Cues for Object Recognition with Minimal Supervision. ACCV (4) (2016)
Xingchao Peng, Kate Saenko
Combining Texture and Shape Cues for Object Recognition With Minimal Supervision. CoRR (2016)
Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko
Fine-to-coarse knowledge transfer for low-res image classification. ICIP (2016)
Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification. CoRR (2016)
Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko
What Do Deep CNNs Learn About Objects? ICLR (Workshop) (2015)
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 (2015)
Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko
Learning Deep Object Detectors from 3D Models. ICCV (2015)
Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko
Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images. CoRR (2014)