Wednesday, June 7, 2017

Faculty and students from the Center for Visual Computing will present 17 papers at CVPR 2017

Faculty and students from the Center for Visual Computing will present 12 papers at CVPR 2017, the premier international forum for computer vision research this year, held in Honolulu, Hawaii.

1. Robust Energy Minimization for BRDF-Invariant Shape From Light Fields
Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker

2. Light Field Blind Motion Deblurring
Pratul P. Srinivasan, Ren Ng, Ravi Ramamoorthi

3. Deeply Supervised Salient Object Detection With Short Connections
Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr

4. Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He

5. Semantically Consistent Regularization for Zero-Shot Recognition
Pedro Morgado, Nuno Vasconcelos

6. AGA: Attribute-Guided Augmentation
Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos

7. Deep Learning With Low Precision by Half-Wave Gaussian Quantization
Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos

8. Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing
Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker

9. DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker

10. Deep Network Flow for Multi-Object Tracking
Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker

11. Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation
Paul Vernaza, Manmohan Chandraker

12. Person Re-Identification in the Wild
Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Yi Yang, Qi Tian

13. A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Hao Su, Haoqiang Fan and Leonidas Guibas.

14. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Hao Su, Charles Qi, Kaichun Mo and Leonidas Guibas.

15. SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation 

Li Yi, Hao Su, Xingwen Guo and Leonidas Guibas.

16. Learning Shape Abstractions by Assembling Volumetric Primitives

Shubham Tulsiani, Hao Su, Leonidas Guibas, Alexei A. Efros and
Jitendra Malik.

17. Learning Non-Lambertian Object Intrinsics across ShapeNet Categories

Jian Shi, Yue Dong, Hao Su and Stella X. Yu.

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