| Pointconv: Deep convolutional networks on 3d point clouds W Wu, Z Qi, L Fuxin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1884 | 2019 |
| Multiple Hypothesis Tracking Revisited C Kim, F Li, A Ciptadi, JM Rehg Proceedings of the IEEE International Conference on Computer Vision, 4696-4704, 2015 | 836 | 2015 |
| Video Segmentation by Tracking Many Figure-Ground Segments F Li, T Kim, A Humayun, D Tsai, JM Rehg Computer Vision (ICCV), 2013 IEEE International Conference on, 2192-2199, 2013 | 650 | 2013 |
| Open Set Learning with Counterfactual Images L Neal, M Olson, X Fern, WK Wong, F Li Proceedings of the European Conference on Computer Vision (ECCV), 613-628, 2018 | 517 | 2018 |
| Adversarial examples detection in deep networks with convolutional filter statistics X Li, F Li Proceedings of the IEEE International Conference on Computer Vision, 5764-5772, 2017 | 481 | 2017 |
| Latent structured models for human pose estimation C Ionescu, F Li, C Sminchisescu 2011 International Conference on Computer Vision, 2220-2227, 2011 | 325 | 2011 |
| Adaptive wing loss for robust face alignment via heatmap regression X Wang, L Bo, L Fuxin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 313 | 2019 |
| Joint semantic segmentation and 3d reconstruction from monocular video A Kundu, Y Li, F Dellaert, F Li, JM Rehg Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 308 | 2014 |
| Topology-preserving deep image segmentation X Hu, F Li, D Samaras, C Chen Advances in Neural Information Processing Systems, 5657-5668, 2019 | 284 | 2019 |
| PointPWC-Net: Cost Volume on Point Clouds for (Self-) Supervised Scene Flow Estimation W Wu, ZY Wang, Z Li, W Liu, L Fuxin European Conference on Computer Vision, 88-107, 2020 | 279* | 2020 |
| Multi-object Tracking with Neural Gating Using Bilinear LSTM C Kim, F Li, J Rehg Proceedings of the European Conference on Computer Vision (ECCV), 200-215, 2018 | 277 | 2018 |
| Human urine proteome analysis by three separation approaches W Sun, F Li, S Wu, X Wang, D Zheng, J Wang, Y Gao Proteomics 5 (18), 4994-5001, 2005 | 171 | 2005 |
| Object recognition as ranking holistic figure-ground hypotheses F Li, J Carreira, C Sminchisescu Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 169 | 2010 |
| RIGOR: Reusing Inference in Graph Cuts for generating Object Regions A Humayun, F Li, JM Rehg Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 336-343, 2014 | 157 | 2014 |
| Object recognition by sequential figure-ground ranking J Carreira, F Li, C Sminchisescu International journal of computer vision 98 (3), 243-262, 2012 | 157 | 2012 |
| Concanavalin A-captured glycoproteins in healthy human urine L Wang, F Li, W Sun, S Wu, X Wang, L Zhang, D Zheng, J Wang, Y Gao Molecular & Cellular Proteomics 5 (3), 560-562, 2006 | 151 | 2006 |
| Visualizing Deep Networks by Optimizing with Integrated Gradients Z Qi, S Khorram, L Fuxin AAAI 2020, 2019 | 137 | 2019 |
| Efficient learning of continuous-time hidden markov models for disease progression YY Liu, S Li, F Li, L Song, JM Rehg Advances in neural information processing systems 28, 3600-3608, 2015 | 135 | 2015 |
| Learning multiple-question decision trees for cold-start recommendation M Sun, F Li, J Lee, K Zhou, G Lebanon, H Zha Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 115 | 2013 |
| Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform J Li, F Li, S Todorovic International Conference on Learning Representations, 2019 | 90 | 2019 |
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
