Every paper, ordered by impact or potential impact. About CVPR 2012
| ID | Paper | Authors | Source | Date |
|---|---|---|---|---|
| 1 | Are We Ready For Autonomous Driving? The KITTI Vision Benchmark Suite IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we take advantage of our autonomous driving platform to develop novel challenging benchmarks for the tasks of stereo, optical flow, visual odometry/SLAM and 3D object detection. | A. Geiger; P. Lenz and R. Urtasun; | cvpr | 2012-06-08 |
| 2 | Multi-column Deep Neural Networks For Image Classification IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Abstract: Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our ... | D. Ciregan; U. Meier and J. Schmidhuber; | cvpr | 2012-06-08 |
| 3 | Image Denoising: Can Plain Neural Networks Compete With BM3D? IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work we attempt to learn this mapping directly with a plain multi layer perceptron (MLP) applied to image patches. | H. C. Burger; C. J. Schuler and S. Harmeling; | cvpr | 2012-06-08 |
| 4 | Face Detection, Pose Estimation, And Landmark Localization In The Wild IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. | X. Zhu and D. Ramanan; | cvpr | 2012-06-08 |
| 5 | Three Things Everyone Should Know To Improve Object Retrieval IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the manner of Video Google [28]. | R. Arandjelovic and A. Zisserman; | cvpr | 2012-06-08 |
This page lists the papers of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), ordered by impact or potential impact.