| 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 | 1022 | 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 | 684 | 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 | 419 | 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 | 307 | 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 | 274 | 2016 |
| 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 | 239* | 2015 |
| 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 | 204 | 2013 |
| 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 | 200 | 2012 |
| 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 | 185 | 2020 |
| 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 | 166 | 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 | 156 | 2021 |
| 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 | 151 | 2021 |
| 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 | 144 | 2019 |
| 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 | 140 | 2017 |
| 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 | 126 | 2022 |
| 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 | 124 | 2011 |
| A revisit to MRF-based depth map super-resolution and enhancement J Lu, D Min, RS Pahwa, MN Do 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 120 | 2011 |
| 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 | 111 | 2021 |
| Pisa: Pixelwise image saliency by aggregating complementary appearance contrast measures with spatial priors K Shi, K Wang, J Lu, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 110 | 2013 |
| Fast Guided Global Interpolation for Depth and Motion Y Li, D Min, MN Do, J Lu European Conference on Computer Vision, 717-733, 2016 | 109 | 2016 |
Minh N. DoProfessor, University of Illinois at Urbana-Champaign and VinUniversity在 illinois.edu 的電子郵件地址已通過驗證
