Involution: Inverting the inherence of convolution for visual recognition D Li, J Hu, C Wang, X Li, Q She, L Zhu, T Zhang, Q Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 430 | 2021 |
Fast camouflaged object detection via edge-based reversible re-calibration network GP Ji, L Zhu, M Zhuge, K Fu Pattern Recognition 123, 108414, 2022 | 175 | 2022 |
Content-noise complementary learning for medical image denoising M Geng, X Meng, J Yu, L Zhu, L Jin, Z Jiang, B Qiu, H Li, H Kong, J Yuan, ... IEEE transactions on medical imaging 41 (2), 407-419, 2021 | 136 | 2021 |
A multisize superpixel approach for salient object detection based on multivariate normal distribution estimation L Zhu, DA Klein, S Frintrop, Z Cao, AB Cremers IEEE Transactions on Image Processing 23 (12), 5094-5107, 2014 | 61 | 2014 |
Learning the superpixel in a non-iterative and lifelong manner L Zhu, Q She, B Zhang, Y Lu, Z Lu, D Li, J Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 43 | 2021 |
Dynamic random walk for superpixel segmentation X Kang, L Zhu, A Ming IEEE Transactions on Image Processing 29, 3871-3884, 2020 | 40 | 2020 |
Weakly supervised object localization as domain adaption L Zhu, Q She, Q Chen, Y You, B Wang, Y Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 38 | 2022 |
Self-attention memory-augmented wavelet-CNN for anomaly detection K Wu, L Zhu, W Shi, W Wang, J Wu IEEE Transactions on Circuits and Systems for Video Technology 33 (3), 1374-1385, 2022 | 36 | 2022 |
mCLOUD: A multiview visual feature extraction mechanism for ground-based cloud image categorization Y Xiao, Z Cao, W Zhuo, L Ye, L Zhu Journal of Atmospheric and Oceanic Technology 33 (4), 789-801, 2016 | 36 | 2016 |
Triplet cross-fusion learning for unpaired image denoising in optical coherence tomography M Geng, X Meng, L Zhu, Z Jiang, M Gao, Z Huang, B Qiu, Y Hu, Y Zhang, ... IEEE Transactions on Medical Imaging 41 (11), 3357-3372, 2022 | 31 | 2022 |
Unifying nonlocal blocks for neural networks L Zhu, Q She, D Li, Y Lu, X Kang, J Hu, C Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 28 | 2021 |
Background-aware classification activation map for weakly supervised object localization L Zhu, Q She, Q Chen, X Meng, M Geng, L Jin, Y Zhang, Q Ren, Y Lu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12 …, 2023 | 26 | 2023 |
Adobe boxes: Locating object proposals using object adobes Z Fang, Z Cao, Y Xiao, L Zhu, J Yuan IEEE Transactions on Image Processing 25 (9), 4116-4128, 2016 | 24 | 2016 |
Image segmentation using modified SLIC and Nyström based spectral clustering XD Bai, ZG Cao, Y Wang, MN Ye, L Zhu Optik 125 (16), 4302-4307, 2014 | 24 | 2014 |
Bagging regional classification activation maps for weakly supervised object localization L Zhu, Q Chen, L Jin, Y You, Y Lu European Conference on Computer Vision, 176-192, 2022 | 23 | 2022 |
Nighttime road scene parsing by unsupervised domain adaptation C Song, J Wu, L Zhu, M Zhang, H Ling IEEE transactions on intelligent transportation systems 23 (4), 3244-3255, 2020 | 22 | 2020 |
Beyond text: Frozen large language models in visual signal comprehension L Zhu, F Wei, Y Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 21 | 2024 |
Segrap2023: A benchmark of organs-at-risk and gross tumor volume segmentation for radiotherapy planning of nasopharyngeal carcinoma X Luo, J Fu, Y Zhong, S Liu, B Han, M Astaraki, S Bendazzoli, ... Medical image analysis 101, 103447, 2025 | 19 | 2025 |
Exemplar-based depth inpainting with arbitrary-shape patches and cross-modal matching S Xiang, H Deng, L Zhu, J Wu, L Yu Signal processing: image communication 71, 56-65, 2019 | 17 | 2019 |
Multi-scale region-based saliency detection using W2 distance on N-dimensional normal distributions L Zhu, DA Klein, S Frintrop, Z Cao, AB Cremers 2013 IEEE International Conference on Image Processing, 176-180, 2013 | 16 | 2013 |