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Yi Yang
Yi Yang
Research Scientist, Google DeepMind
Dirección de correo verificada de uci.edu - Página principal
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Attention to scale: Scale-aware semantic image segmentation
LC Chen, Y Yang, J Wang, W Xu, AL Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2016
17102016
Cnn-rnn: A unified framework for multi-label image classification
J Wang, Y Yang, J Mao, Z Huang, C Huang, W Xu
Proceedings of the IEEE conference on computer vision and pattern …, 2016
16922016
Deep captioning with multimodal recurrent neural networks (m-rnn)
J Mao, W Xu, Y Yang, J Wang, A Yuille
arXiv preprint arXiv:1412.6632, 2014
16102014
Articulated pose estimation with flexible mixtures-of-parts
Y Yang, D Ramanan
CVPR 2011, 1385-1392, 2011
15762011
Learning from Massive Noisy Labeled Data for Image Classification
T Xiao, T Xia, Y Yang, C Huang, X Wang
IEEE Conference on Computer Vision and Pattern Recognition, 2015
14642015
Articulated human detection with flexible mixtures of parts
Y Yang, D Ramanan
IEEE transactions on pattern analysis and machine intelligence 35 (12), 2878 …, 2012
11432012
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
H Yu, J Wang, Z Huang, Y Yang, X Wei
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
7362016
Densebox: Unifying landmark localization with end to end object detection
L Huang, Y Yang, Y Deng, Y Yu
arXiv preprint arXiv:1509.04874, 2015
6422015
Explain images with multimodal recurrent neural networks
J Mao, W Xu, Y Yang, J Wang, AL Yuille
arXiv preprint arXiv:1410.1090, 2014
5382014
Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks
C Cao, X Liu, Y Yang, Y Yu, J Wang, Z Wang, Y Huang, L Wang, C Huang, ...
Proceedings of the IEEE international conference on computer vision, 2956-2964, 2015
5262015
Occlusion aware unsupervised learning of optical flow
Y Wang, Y Yang, Z Yang, L Zhao, P Wang, W Xu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3702018
Depth-based hand pose estimation: methods, data, and challenges
J Supancic, G Rogez, Y Yang, J Shotton, D Ramanan
arXiv preprint arXiv:1504.06378, 2015
312*2015
Fully convolutional attention networks for fine-grained recognition
X Liu, T Xia, J Wang, Y Yang, F Zhou, Y Lin
arXiv preprint arXiv:1603.06765, 2016
2912016
Sequential convex approximations to joint chance constrained programs: A Monte Carlo approach
LJ Hong, Y Yang, L Zhang
Operations Research 59 (3), 617-630, 2011
2252011
Depth-based hand pose estimation: data, methods, and challenges
J Supancic, G Rogez, Y Yang, J Shotton, D Ramanan
Proceedings of the IEEE International Conference on Computer Vision, 1868-1876, 2015
1992015
Layered object models for image segmentation
Y Yang, S Hallman, D Ramanan, CC Fowlkes
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (9), 1731-1743, 2011
1992011
Learning like a child: Fast novel visual concept learning from sentence descriptions of images
J Mao, X Wei, Y Yang, J Wang, Z Huang, AL Yuille
Proceedings of the IEEE International Conference on Computer Vision, 2015
1932015
Unos: Unified unsupervised optical-flow and stereo-depth estimation by watching videos
Y Wang, P Wang, Z Yang, C Luo, Y Yang, W Xu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1902019
Dynamic computational time for visual attention
Z Li, Y Yang, X Liu, F Zhou, S Wen, W Xu
Proceedings of the IEEE international conference on computer vision …, 2017
1452017
Tap-vid: A benchmark for tracking any point in a video
C Doersch, A Gupta, L Markeeva, A Recasens, L Smaira, Y Aytar, ...
Advances in Neural Information Processing Systems 35, 13610-13626, 2022
1432022
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