| Rain streak removal using layer priors Y Li, RT Tan, X Guo, J Lu, MS Brown Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 1177 | 2016 |
| Cross-based local stereo matching using orthogonal integral images K Zhang, J Lu, G Lafruit IEEE Transactions on Circuits and Systems for Video Technology 19 (7), 1073-1079, 2009 | 700 | 2009 |
| Fast global image smoothing based on weighted least squares D Min, S Choi, J Lu, B Ham, K Sohn, MN Do IEEE Transactions on Image Processing 23 (12), 5638-5653, 2014 | 452 | 2014 |
| Depth video enhancement based on weighted mode filtering D Min, J Lu, MN Do IEEE Transactions on Image Processing 21 (3), 1176-1190, 2011 | 310 | 2011 |
| SEAGULL: Seam-Guided Local Alignment for Parallax-Tolerant Image Stitching K Lin, N Jiang, LF Cheong, M Do, J Lu European Conference on Computer Vision, 370-385, 2016 | 306 | 2016 |
| Lapar: Linearly-assembled pixel-adaptive regression network for single image super-resolution and beyond W Li, K Zhou, L Qi, N Jiang, J Lu, J Jia Advances in Neural Information Processing Systems 33, 20343-20355, 2020 | 283 | 2020 |
| On Efficient Transformer-Based Image Pre-training for Low-Level Vision W Li, X Lu, S Qian, J Lu, X Zhang, J Jia arXiv preprint arXiv:2112.10175, 2021 | 242 | 2021 |
| Weakly Supervised Fine-Grained Image Categorization Y Zhang, X Wei, J Wu, J Cai, J Lu, VA Nguyen, MN Do arXiv preprint arXiv:1504.04943, 2015 | 238* | 2015 |
| Mucan: Multi-correspondence aggregation network for video super-resolution W Li, X Tao, T Guo, L Qi, J Lu, J Jia European conference on computer vision, 335-351, 2020 | 225 | 2020 |
| Masa-sr: Matching acceleration and spatial adaptation for reference-based image super-resolution L Lu, W Li, X Tao, J Lu, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 219 | 2021 |
| Cross-based local multipoint filtering J Lu, K Shi, D Min, L Lin, MN Do 2012 IEEE Conference on Computer Vision and Pattern Recognition, 430-437, 2012 | 207 | 2012 |
| Patch match filter: Efficient edge-aware filtering meets randomized search for fast correspondence field estimation J Lu, H Yang, D Min, M Do Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 206 | 2013 |
| Video Frame Interpolation with Transformer L Lu, R Wu, H Lin, J Lu, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 202 | 2022 |
| Low-Light Image Enhancement via Structure Modeling and Guidance X Xu, R Wang, J Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 197 | 2023 |
| Hemlets pose: Learning part-centric heatmap triplets for accurate 3d human pose estimation K Zhou, X Han, N Jiang, K Jia, J Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 190 | 2019 |
| Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment R Wang, X Xu, CW Fu, J Lu, B Yu, J Jia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 169 | 2021 |
| CODE: Coherence based decision boundaries for feature correspondence WY Lin, F Wang, MM Cheng, SK Yeung, PHS Torr, MN Do, J Lu IEEE transactions on pattern analysis and machine intelligence 40 (1), 34-47, 2017 | 157 | 2017 |
| Video instance segmentation with a propose-reduce paradigm H Lin, R Wu, S Liu, J Lu, J Jia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 132 | 2021 |
| JOLO-GCN: mining joint-centered light-weight information for skeleton-based action recognition J Cai, N Jiang, X Han, K Jia, J Lu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 130 | 2021 |
| A revisit to cost aggregation in stereo matching: How far can we reduce its computational redundancy? D Min, J Lu, MN Do 2011 International Conference on Computer Vision, 1567-1574, 2011 | 126 | 2011 |
Minh N. DoProfessor, University of Illinois at Urbana-Champaign and VinUniversityVerified email at illinois.edu
