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Boqing Gong
Boqing Gong
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Geodesic Flow Kernel for Unsupervised Domain Adaptation
B Gong, Y Shi, F Sha, K Grauman
CVPR, 2012
21542012
Synthesized Classifiers for Zero-Shot Learning
S Changpinyo, WL Chao, B Gong, F Sha
arXiv preprint arXiv:1603.00550 (Accepted to CVPR 2016), 2016
7322016
Large-scale long-tailed recognition in an open world
Z Liu, Z Miao, X Zhan, J Wang, B Gong, SX Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4472019
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
WL Chao, S Changpinyo, B Gong, F Sha
arXiv preprint arXiv:1605.04253 (Accepted to ECCV 2016), 2016
4452016
Curriculum domain adaptation for semantic segmentation of urban scenes
Y Zhang, P David, B Gong
Proceedings of the IEEE international conference on computer vision, 2020-2030, 2017
4142017
Diverse sequential subset selection for supervised video summarization
B Gong, WL Chao, K Grauman, F Sha
Advances in neural information processing systems 27, 2014
4132014
Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
B Gong, K Grauman, F Sha
International conference on machine learning, 222-230, 2013
4092013
Adversarial examples improve image recognition
C Xie, M Tan, B Gong, J Wang, AL Yuille, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2882020
Improving the improved training of wasserstein gans: A consistency term and its dual effect
X Wei, B Gong, Z Liu, W Lu, L Wang
arXiv preprint arXiv:1803.01541, 2018
2132018
F. Sha. Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
B Gong, K Grauman
ICML, 2013
1952013
Learning Attributes Equals Multi-Source Domain Generalization
C Gan, T Yang, B Gong
arXiv preprint arXiv:1605.00743 (Accepted to CVPR 2016), 2016
1902016
Spatiotemporal contrastive video representation learning
R Qian, T Meng, B Gong, MH Yang, H Wang, S Belongie, Y Cui
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1792021
End-to-end learning of motion representation for video understanding
L Fan, W Huang, C Gan, S Ermon, B Gong, J Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1792018
Nattack: Learning the distributions of adversarial examples for an improved black-box attack on deep neural networks
Y Li, L Li, L Wang, T Zhang, B Gong
International Conference on Machine Learning, 3866-3876, 2019
1572019
Reshaping visual datasets for domain adaptation
B Gong, K Grauman, F Sha
Advances in Neural Information Processing Systems 26, 2013
1512013
Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data
X Yue, Y Zhang, S Zhao, A Sangiovanni-Vincentelli, K Keutzer, B Gong
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1362019
Polarnet: An improved grid representation for online lidar point clouds semantic segmentation
Y Zhang, Z Zhou, P David, X Yue, Z Xi, B Gong, H Foroosh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1322020
Automatic facial expression recognition on a single 3D face by exploring shape deformation
B Gong, Y Wang, J Liu, X Tang
Proceedings of the 17th ACM international conference on Multimedia, 569-572, 2009
1262009
A fast and accurate one-stage approach to visual grounding
Z Yang, B Gong, L Wang, W Huang, D Yu, J Luo
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1192019
Query-Focused Extractive Video Summarization
A Sharghi, B Gong, M Shah
arXiv preprint arXiv:1607.05177 (Accepted to ECCV 2016), 2016
1192016
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