| Single image 3d interpreter network J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman European Conference on Computer Vision, 365-382, 2016 | 179 | 2016 |
| Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus arXiv preprint arXiv:1512.02167, 2015 | 166 | 2015 |
| Easyalbum: an interactive photo annotation system based on face clustering and re-ranking J Cui, F Wen, R Xiao, Y Tian, X Tang Proceedings of the SIGCHI conference on Human factors in computing systems …, 2007 | 159 | 2007 |
| Exploring the spatial hierarchy of mixture models for human pose estimation Y Tian, CL Zitnick, SG Narasimhan European Conference on Computer Vision, 256-269, 2012 | 119 | 2012 |
| Building Generalizable Agents with a Realistic and Rich 3D Environment Y Wu, Y Wu, G Gkioxari, Y Tian ICLR workshop 2018, 2018 | 97 | 2018 |
| Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima SS Du, JD Lee, Y Tian, B Poczos, A Singh ICML 2018, 2017 | 88 | 2017 |
| A face annotation framework with partial clustering and interactive labeling Y Tian, W Liu, R Xiao, F Wen, X Tang 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 88 | 2007 |
| Seeing through water: Image restoration using model-based tracking Y Tian, SG Narasimhan 2009 IEEE 12th International Conference on Computer Vision, 2303-2310, 2009 | 83 | 2009 |
| An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis Y Tian ICML 2017, 2017 | 81 | 2017 |
| Better computer go player with neural network and long-term prediction Y Tian, Y Zhu ICLR 2016, 2015 | 79 | 2015 |
| FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search B Wu, X Dai, P Zhang, Y Wang, F Sun, Y Wu, Y Tian, P Vajda, Y Jia, ... CVPR 2019, 2018 | 78* | 2018 |
| Training agent for first-person shooter game with actor-critic curriculum learning Y Wu, Y Tian ICLR 2017, 2017 | 70 | 2017 |
| Learning from crowds in the presence of schools of thought Y Tian, J Zhu Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 70 | 2012 |
| When is a Convolutional Filter Easy to Learn? SS Du, JD Lee, Y Tian ICLR 2018, 2017 | 62 | 2017 |
| ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games Y Tian, Q Gong, W Shang, Y Wu, L Zitnick NIPS 2017, 2017 | 53 | 2017 |
| Rectification and 3D reconstruction of curved document images Y Tian, SG Narasimhan CVPR 2011, 377-384, 2011 | 43 | 2011 |
| Globally optimal estimation of nonrigid image distortion Y Tian, SG Narasimhan International journal of computer vision 98 (3), 279-302, 2012 | 39 | 2012 |
| A globally optimal data-driven approach for image distortion estimation Y Tian, SG Narasimhan 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 39 | 2010 |
| Semantic amodal segmentation Y Zhu, Y Tian, D Mexatas, P Dollár CVPR 2017, 2015 | 36 | 2015 |
| Joint boosting feature selection for robust face recognition R Xiao, W Li, Y Tian, X Tang 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 35 | 2006 |
Srinivasa NarasimhanProfessor of Robotics, Carnegie Mellon universityVerified email at cs.cmu.edu