| SPLATNet: Sparse Lattice Networks for Point Cloud Processing H Su, V Jampani, D Sun, S Maji, V Kalogerakis, MH Yang, J Kautz Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 383 | 2018 |
| Training deep networks with synthetic data: Bridging the reality gap by domain randomization J Tremblay, A Prakash, D Acuna, M Brophy, V Jampani, C Anil, T To, ... Workshop on Autonomous Driving, CVPR'18, 2018 | 328 | 2018 |
| Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation H Jiang, D Sun, V Jampani, MH Yang, E Learned-Miller, J Kautz Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 268 | 2018 |
| Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation A Ranjan, V Jampani, K Kim, D Sun, J Wulff, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 176 | 2019 |
| Video propagation networks V Jampani, R Gadde, PV Gehler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 165 | 2017 |
| Optical flow with semantic segmentation and localized layers L Sevilla-Lara, D Sun, V Jampani, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 154 | 2016 |
| Gated-SCNN: Gated Shape CNNs for Semantic Segmentation T Takikawa, D Acuna, V Jampani, S Fidler International Conference on Computer Vision (ICCV), 2019, 2019 | 153 | 2019 |
| Learning sparse high dimensional filters: Image filtering, dense CRFs and bilateral neural networks V Jampani, M Kiefel, PV Gehler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 150 | 2016 |
| Semantic video CNNs through representation warping R Gadde, V Jampani, PV Gehler International Conference on Computer Vision (ICCV), 2017 | 101 | 2017 |
| On the integration of optical flow and action recognition L Sevilla-Lara, Y Liao, F Guney, V Jampani, A Geiger, MJ Black German Conference on Pattern Recognition (GCPR), 2018 | 97 | 2018 |
| Superpixel convolutional networks using bilateral inceptions R Gadde, V Jampani, M Kiefel, D Kappler, PV Gehler European conference on computer vision, 597-613, 2016 | 88 | 2016 |
| Pixel-Adaptive Convolutional Neural Networks H Su, V Jampani, D Sun, O Gallo, E Learned-Miller, J Kautz Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 69 | 2019 |
| Superpixel Sampling Networks V Jampani, D Sun, MY Liu, MH Yang, J Kautz European Conference on Computer Vision (ECCV), 2018, 2018 | 69 | 2018 |
| Learning Superpixels with Segmentation-Aware Affinity Loss WC Tu, MY Liu, V Jampani, D Sun, SY Chien, MH Yang, J Kautz Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 51 | 2018 |
| The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models V Jampani, S Nowozin, M Loper, PV Gehler Computer Vision and Image Understanding 136, 32-44, 2015 | 51 | 2015 |
| Efficient 2D and 3D facade segmentation using auto-context R Gadde, V Jampani, R Marlet, PV Gehler IEEE transactions on pattern analysis and machine intelligence 40 (5), 1273-1280, 2017 | 43 | 2017 |
| SCOPS: Self-Supervised Co-Part Segmentation WC Hung, V Jampani, S Liu, P Molchanov, MH Yang, J Kautz Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 32 | 2019 |
| Adversarial collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation A Ranjan, V Jampani, K Kim, D Sun, J Wulff, MJ Black arXiv preprint arXiv:1805.09806 2 (6), 2018 | 30 | 2018 |
| Assessment of computational visual attention models on medical images V Jampani, J Sivaswamy, V Vaidya Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and …, 2012 | 30 | 2012 |
| Efficient facade segmentation using auto-context V Jampani, R Gadde, PV Gehler 2015 IEEE Winter Conference on Applications of Computer Vision, 1038-1045, 2015 | 27 | 2015 |
Deqing SunResearch Scientist, Google在 google.com 的电子邮件经过验证
