| 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 | 537 | 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 | 515 | 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 | 430 | 2018 |
| Gated-SCNN: Gated Shape CNNs for Semantic Segmentation T Takikawa, D Acuna, V Jampani, S Fidler International Conference on Computer Vision (ICCV), 2019, 2019 | 363 | 2019 |
| 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 | 341 | 2019 |
| Video propagation networks V Jampani, R Gadde, PV Gehler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 213 | 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 | 191 | 2016 |
| 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 | 182 | 2016 |
| Semantic video CNNs through representation warping R Gadde, V Jampani, PV Gehler International Conference on Computer Vision (ICCV), 2017 | 151 | 2017 |
| 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 | 147 | 2019 |
| 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 | 139 | 2018 |
| Superpixel Sampling Networks V Jampani, D Sun, MY Liu, MH Yang, J Kautz European Conference on Computer Vision (ECCV), 2018, 2018 | 132 | 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 | 109 | 2016 |
| 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 | 83 | 2018 |
| DeepGMR: Learning Latent Gaussian Mixture Models for Registration W Yuan, B Eckart, K Kim, V Jampani, D Fox, J Kautz European Conference on Computer Vision (ECCV), 2020, 2020 | 63 | 2020 |
| 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 | 60 | 2019 |
| Self-supervised Single-view 3D Reconstruction via Semantic Consistency X Li, S Liu, K Kim, S De Mello, V Jampani, MH Yang, J Kautz European Conference on Computer Vision (ECCV), 2020, 2020 | 56 | 2020 |
| 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 | 56 | 2015 |
| NeRD: Neural Reflectance Decomposition from Image Collections M Boss, R Braun, V Jampani, JT Barron, C Liu, H Lensch International Conference on Computer Vision (ICCV), 2021, 2021 | 52 | 2021 |
| 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 | 52 | 2017 |
Deqing SunResearch Scientist, Google在 google.com 的电子邮件经过验证
