| RefineDNet: A weakly supervised refinement framework for single image dehazing S Zhao, L Zhang, Y Shen, Y Zhou IEEE Transactions on Image Processing 30, 3391-3404, 2021 | 206 | 2021 |
| Dehazing evaluation: Real-world benchmark datasets, criteria, and baselines S Zhao, L Zhang, S Huang, Y Shen, S Zhao IEEE Transactions on Image Processing 29, 6947-6962, 2020 | 102 | 2020 |
| Deep animation video interpolation in the wild L Siyao*, S Zhao*, W Yu, W Sun, D Metaxas, CC Loy, Z Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 77 | 2021 |
| Global Matching with Overlapping Attention for Optical Flow Estimation S Zhao, L Zhao, Z Zhang, E Zhou, D Metaxas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 66 | 2022 |
| Exploiting Unlabeled Data with Vision and Language Models for Object Detection S Zhao*, Z Zhang*, S Schulter, L Zhao, A Stathopoulos, M Chandraker, ... ECCV 2022, 2022 | 65 | 2022 |
| Super-resolution for monocular depth estimation with multi-scale sub-pixel convolutions and a smoothness constraint S Zhao, L Zhang, Y Shen, S Zhao, H Zhang IEEE Access 7, 16323-16335, 2019 | 25 | 2019 |
| Evaluation of defogging: A real-world benchmark dataset, a new criterion and baselines S Zhao, L Zhang, S Huang, Y Shen, S Zhao, Y Yang 2019 IEEE international conference on multimedia and expo (ICME), 1840-1845, 2019 | 18 | 2019 |
| OmniLabel: A Challenging Benchmark for Language-Based Object Detection S Schulter, VK B G, Y Suh, KM Dafnis, Z Zhang, S Zhao, D Metaxas ICCV 2023, 2023 | 6 | 2023 |
| Simulation of Atmospheric Visibility Impairment L Zhang, A Zhu, S Zhao, Y Zhou IEEE Transactions on Image Processing 30, 8713-8726, 2021 | 2 | 2021 |
| Taming Self-Training for Open-Vocabulary Object Detection S Zhao, S Schulter, L Zhao, Z Zhang, Y Suh, M Chandraker, DN Metaxas arXiv preprint arXiv:2308.06412, 2023 | 1* | 2023 |
| A CNN-Based Depth Estimation Approach with Multi-scale Sub-pixel Convolutions and a Smoothness Constraint S Zhao, L Zhang, Y Shen, Y Zhu Asian Conference on Computer Vision, 365-380, 2018 | 1 | 2018 |
| AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving M Liang, JC Su, S Schulter, S Garg, S Zhao, Y Wu, M Chandraker arXiv preprint arXiv:2403.17373, 2024 | | 2024 |
| Open-vocabulary object detection with vision and language supervision S Schulter, VKB Gopalkrishna, Y Suh, S Zhao US Patent App. 18/448,345, 2024 | | 2024 |
| Generating Enhanced Negatives for Training Language-Based Object Detectors S Zhao, L Zhao, Y Suh, DN Metaxas, M Chandraker, S Schulter arXiv preprint arXiv:2401.00094, 2023 | | 2023 |
| OmniLabel: A Challenging Benchmark for Language-Based Object Detection Supplemental Material S Schulter, VK BG, Y Suh, KM Dafnis, Z Zhang, S Zhao, D Metaxas | | |
| Global Matching with Overlapping Attention for Optical Flow Estimation Supplementary Document S Zhao, L Zhao, Z Zhang, E Zhou, D Metaxas | | |
| Deep Animation Video Interpolation in the Wild Supplementary File L Siyao, S Zhao, W Yu, W Sun, D Metaxas, CC Loy, Z Liu | | |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
