Image Super-Resolution Using Very Deep Residual Channel Attention Networks Y Zhang, K Li, K Li, L Wang, B Zhong, Y Fu European Conference on Computer Vision (ECCV), 2018, 2018 | 4938 | 2018 |
Residual non-local attention networks for image restoration Y Zhang, K Li, K Li, B Zhong, Y Fu International Conference on Learning Representations (ICLR), 2019 | 786 | 2019 |
Tell Me Where to Look: Guided Attention Inference Network K Li, Z Wu, KC Peng, J Ernst, Y Fu Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018 | 655 | 2018 |
Visual Semantic Reasoning for Image-Text Matching K Li, Y Zhang, K Li, Y Li, Y Fu International Conference on Computer Vision (ICCV), 2019, 2019 | 550 | 2019 |
Adversarial Feature Hallucination Networks for Few-Shot Learning K Li, Y Zhang, K Li, Y Fu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13470-13479, 2020 | 311 | 2020 |
Open-vocabulary semantic segmentation with mask-adapted clip F Liang, B Wu, X Dai, K Li, Y Zhao, H Zhang, P Zhang, P Vajda, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 273 | 2023 |
Skeleton aware multi-modal sign language recognition S Jiang, B Sun, L Wang, Y Bai, K Li, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 206 | 2021 |
MR image super-resolution with squeeze and excitation reasoning attention network Y Zhang, K Li, K Li, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 79 | 2021 |
Emu: Enhancing image generation models using photogenic needles in a haystack X Dai, J Hou, CY Ma, S Tsai, J Wang, R Wang, P Zhang, S Vandenhende, ... arXiv preprint arXiv:2309.15807, 2023 | 78 | 2023 |
Image-text embedding learning via visual and textual semantic reasoning K Li, Y Zhang, K Li, Y Li, Y Fu IEEE transactions on pattern analysis and machine intelligence 45 (1), 641-656, 2022 | 67 | 2022 |
Accurate and fast image denoising via attention guided scaling Y Zhang, K Li, K Li, G Sun, Y Kong, Y Fu IEEE Transactions on Image Processing 30, 6255-6265, 2021 | 50 | 2021 |
Support neighbor loss for person re-identification K Li, Z Ding, K Li, Y Zhang, Y Fu ACM Multimedia Conference on Multimedia Conference, 2018, 1492-1500, 2018 | 42 | 2018 |
Sign language recognition via skeleton-aware multi-model ensemble S Jiang, B Sun, L Wang, Y Bai, K Li, Y Fu arXiv preprint arXiv:2110.06161, 2021 | 38 | 2021 |
Dual Lottery Ticket Hypothesis Y Bai, H Wang, Z TAO, K Li, Y Fu International Conference on Learning Representations (ICLR), 2022 | 33 | 2022 |
Attention bridging network for knowledge transfer K Li, Y Zhang, K Li, Y Li, Y Fu International Conference on Computer Vision (ICCV), 2019, 2019 | 33 | 2019 |
Machine learning-aided quantification of antibody-based cancer immunotherapy by natural killer cells in microfluidic droplets S Sarkar, W Kang, S Jiang, K Li, S Ray, E Luther, AR Ivanov, Y Fu, ... Lab on a Chip 20 (13), 2317-2327, 2020 | 29 | 2020 |
Vehicle and person re-identification with support neighbor loss K Li, Z Ding, K Li, Y Zhang, Y Fu IEEE Transactions on Neural Networks and Learning Systems 33 (2), 826-838, 2020 | 25 | 2020 |
Multi-stream deep similarity learning networks for visual tracking K Li, Y Kong, Y Fu International Joint Conference on Artificial Intelligence (IJCAI), 2017, 2017 | 21 | 2017 |
Visual object tracking via multi-stream deep similarity learning networks K Li, Y Kong, Y Fu IEEE Transactions on Image Processing 29, 3311-3320, 2019 | 19 | 2019 |
A new fingertip detection and tracking algorithm and its application on writing-in-the-air system K Li, X Zhang IEEE International Conference on Image and Signal Processing, 2014, 2014 | 19 | 2014 |