| Decoupling makes weakly supervised local feature better K Li, L Wang, L Liu, Q Ran, K Xu, Y Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 45 | 2022 |
| Distortion-aware monocular depth estimation for omnidirectional images HX Chen, K Li, Z Fu, M Liu, Z Chen, Y Guo IEEE Signal Processing Letters 28, 334-338, 2021 | 32 | 2021 |
| Soft exemplar highlighting for cross-view image-based geo-localization Y Guo, M Choi, K Li, F Boussaid, M Bennamoun IEEE transactions on image processing 31, 2094-2105, 2022 | 28 | 2022 |
| Adv-depth: Self-supervised monocular depth estimation with an adversarial loss K Li, Z Fu, H Wang, Z Chen, Y Guo IEEE Signal Processing Letters 28, 638-642, 2021 | 14 | 2021 |
| A lightweight detection model for sar aircraft in a complex environment M Li, G Wen, X Huang, K Li, S Lin Remote Sensing 13 (24), 5020, 2021 | 12 | 2021 |
| Slfnet: A stereo and lidar fusion network for depth completion Y Zhang, L Wang, K Li, Z Fu, Y Guo IEEE Robotics and Automation Letters 7 (4), 10605-10612, 2022 | 7 | 2022 |
| Hi-net: boosting self-supervised indoor depth estimation via pose optimization G Wu, K Li, L Wang, R Hu, Y Guo, Z Chen IEEE Robotics and Automation Letters 8 (1), 224-231, 2022 | 4 | 2022 |
| LoS: Local Structure-Guided Stereo Matching K Li, L Wang, Y Zhang, K Xue, S Zhou, Y Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Self-Supervised Multi-Frame Monocular Depth Estimation for Dynamic Scenes G Wu, H Liu, L Wang, K Li, Y Guo, Z Chen IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 2 | 2023 |
| Learning local features with context aggregation for visual localization S Hong, K Li, Y Zhang, Z Fu, M Liu, Y Guo arXiv preprint arXiv:2005.12880, 2020 | 2 | 2020 |
| Metric localization for lunar rovers via cross-view image matching Z Chen, K Li, H Li, Z Fu, H Zhang, Y Guo Visual Intelligence 2 (1), 1-14, 2024 | 1 | 2024 |
| Learning Representations from Foundation Models for Domain Generalized Stereo Matching Y Zhang, L Wang, K Li, Y Wang, Y Guo | | |
| Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization Y Wang, K Li, M Chen, L Wang, S Zhou, K Xue, Y Guo | | |
| Supplementary Material for Decoupling Makes Weakly Supervised Local Feature Better K Li, L Wang, L Liu, Q Ran, K Xu, Y Guo | | |
