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Yang Song 0009
Person information
- affiliation: Google Research, Mountain View, CA, USA
- not to be confused with: Yang Song 0008
Other persons with the same name
- Yang Song — disambiguation page
- Yang Song 0001
— University of New South Wales, Sydney, NSW, Australia (and 1 more)
- Yang Song 0002 — Waseda University, Graduate School of Information, Production and Systems, Kitakyushu City, Japan
- Yang Song 0003
- Yang Song 0004
- Yang Song 0005 — IBM T. J. Watson Research Center, Hawthorne, NY, USA (and 1 more)
- Yang Song 0006
- Yang Song 0007 — University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Yang Song 0008
- Yang Song 0010
- Yang Song 0011
- Yang Song 0012
- Yang Song 0013
- Yang Song 0014
- Yang Song 0015
- Yang Song 0016 — University of Utah, School of Computing, Salt Lake City, UH, USA
- Yang Song 0017
- Yang Song 0018
- Yang Song 0019
- Yang Song 0020 — Communication University of China, School of Information Engineering, China
- Yang Song 0021
- Yang Song 0022
- Yang Song 0023 — Fujifilm Software, Inc., San Jose, CA, USA (and 1 more)
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2010 – 2019
- 2019
- [c16]Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019: 9268-9277 - [c15]Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam:
Geo-Aware Networks for Fine-Grained Recognition. ICCV Workshops 2019: 247-254 - [i8]Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie:
Class-Balanced Loss Based on Effective Number of Samples. CoRR abs/1901.05555 (2019) - [i7]Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam:
Geo-Aware Networks for Fine Grained Recognition. CoRR abs/1906.01737 (2019) - 2018
- [c14]Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018: 4109-4118 - [c13]Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
The INaturalist Species Classification and Detection Dataset. CVPR 2018: 8769-8778 - [i6]Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie:
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CoRR abs/1806.06193 (2018) - 2017
- [c12]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR 2017: 3296-3297 - [c11]Yang Song, Yuan Li, Bo Wu, Chao-Yeh Chen, Xiao Zhang, Hartwig Adam:
Learning Unified Embedding for Apparel Recognition. ICCV Workshops 2017: 2243-2246 - [i5]Yang Song, Yuan Li, Bo Wu, Chao-Yeh Chen, Xiao Zhang, Hartwig Adam:
Learning Unified Embedding for Apparel Recognition. CoRR abs/1707.05929 (2017) - [i4]Grant Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie:
The iNaturalist Challenge 2017 Dataset. CoRR abs/1707.06642 (2017) - 2016
- [c10]Stephan Zheng, Yang Song, Thomas Leung, Ian J. Goodfellow:
Improving the Robustness of Deep Neural Networks via Stability Training. CVPR 2016: 4480-4488 - [i3]Stephan Zheng, Yang Song, Thomas Leung, Ian J. Goodfellow:
Improving the Robustness of Deep Neural Networks via Stability Training. CoRR abs/1604.04326 (2016) - [i2]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR abs/1611.10012 (2016) - 2015
- [c9]Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei:
Learning semantic relationships for better action retrieval in images. CVPR 2015: 1100-1109 - 2014
- [c8]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-Grained Image Similarity with Deep Ranking. CVPR 2014: 1386-1393 - [i1]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-grained Image Similarity with Deep Ranking. CoRR abs/1404.4661 (2014) - 2011
- [c7]Thomas Leung, Yang Song, John Zhang:
Handling label noise in video classification via multiple instance learning. ICCV 2011: 2056-2063 - [c6]Bingbing Ni, Yang Song, Ming Zhao:
YouTubeEvent: On large-scale video event classification. ICCV Workshops 2011: 1516-1523 - 2010
- [c5]Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu:
Taxonomic classification for web-based videos. CVPR 2010: 871-878 - [c4]Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, Baoxin Li:
YouTubeCat: Learning to categorize wild web videos. CVPR 2010: 879-886
2000 – 2009
- 2009
- [c3]Yantao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven:
Tour the world: Building a web-scale landmark recognition engine. CVPR 2009: 1085-1092 - [c2]Yantao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven, Jay Yagnik:
Tour the world: a technical demonstration of a web-scale landmark recognition engine. ACM Multimedia 2009: 961-962 - 2006
- [c1]Yang Song, Thomas Leung:
Context-Aided Human Recognition - Clustering. ECCV (3) 2006: 382-395
Coauthor Index
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