Baochen Sun
Baochen Sun
確認したメール アドレス: microsoft.com - ホームページ
タイトル
引用先
引用先
Return of Frustratingly Easy Domain Adaptation
B Sun, J Feng, K Saenko
AAAI, 2016
6932016
Deep coral: Correlation alignment for deep domain adaptation
B Sun, K Saenko
European conference on computer vision, 443-450, 2016
6862016
Learning Deep Object Detectors from 3D Models
X Peng, B Sun, K Ali, K Saenko
Proceedings of the IEEE International Conference on Computer Vision, 1278-1286, 2015
2792015
From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains.
B Sun, K Saenko
BMVC 1 (2), 3, 2014
1522014
Subspace Distribution Alignment for Unsupervised Domain Adaptation.
B Sun, K Saenko
BMVC 4, 24.1-24.10, 2015
952015
Correlation alignment for unsupervised domain adaptation
B Sun, J Feng, K Saenko
Domain Adaptation in Computer Vision Applications, 2017
902017
Exploring invariances in deep convolutional neural networks using synthetic images
X Peng, B Sun, K Ali, K Saenko
CoRR, abs/1412.7122 2 (4), 2014
492014
Modeling radiometric uncertainty for vision with tone-mapped color images
A Chakrabarti, Y Xiong, B Sun, T Darrell, D Scharstein, T Zickler, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (11), 2185 …, 2014
342014
Generating Large Scale Image Datasets from 3D CAD Models
B Sun, X Peng, K Saenko
CVPR'15 Workshop on The Future of Datasets in Vision, 2015
112015
A new algorithm for generating unique-solution Sudoku
B Sun, X Sun, Y Wu, Y Yin, G Yang
4th International Conference on Natural Computation (ICNC), 2008
42008
What Do Deep CNNs Learn About Objects?
X Peng, B Sun, K Ali, K Saenko
ICLR Workshop Track, 2015
32015
Correlation alignment for domain adaptation
B Sun
University of Massachusetts Lowell, 2016
22016
Ground2sky label transfer for fine-grained aerial car recognition
B Sun, X Peng, XY Stella, K Saenko
Image Processing (ICIP), 2017 IEEE International Conference on, 360-364, 2017
12017
Deconstructing the Deformable Parts Model: Do More with Less
B Schroeder, B Sun, K Saenko, K Ali
Third International Workshop on Parts and Attributes at ECCV, 2014
12014
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