| Implicit Diffusion Models for Continuous Super-Resolution S Gao, X Liu, B Zeng, S Xu, Y Li, X Luo, J Liu, X Zhen, B Zhang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 243 | 2023 |
| Q-ViT: Accurate and Fully Quantized Low-Bit Vision Transformer Y Li, S Xu, B Zhang, X Cao, P Gao, G Guo Conference on Neural Information Processing Systems (NeurIPS), 2022 | 94 | 2022 |
| Convolutional Neural Network Pruning: A Survey S Xu, A Huang, L Chen, B Zhang Chinese Control Conference (CCC), 7458-7463, 2020 | 71 | 2020 |
| Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition T Ma, S Geng, M Wang, S Xu, H Li, B Zhang, P Gao, Y Qiao British Machine Vision Conference (BMVC), 2022 | 50* | 2022 |
| Layer-Wise Searching for 1-Bit Detectors S Xu, J Zhao, J Lu, B Zhang, S Han, D Doermann IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Oral …, 2021 | 40 | 2021 |
| The 1-st Tiny Object Detection Challenge: Methods and Results X Yu, Z Han, Y Gong, N Jan, J Zhao, Q Ye, J Chen, Y Feng, B Zhang, ... European Conference on Computer Vision, TOD Workshop (ECCVW), 315-323, 2020 | 37 | 2020 |
| Q-DM: An Efficient Low-bit Quantized Diffusion Model Y Li, S Xu, X Cao, X Sun, B Zhang Conference on Neural Information Processing Systems (NeurIPS), 2023 | 33 | 2023 |
| Data-Adaptive Binary Neural Networks for Efficient Object Detection and Recognition J Zhao, S Xu, R Wang, B Zhang, G Guo, D Doermann, D Sun Pattern Recognition Letters (PRL) 153, 239-245, 2022 | 27 | 2022 |
| Q-DETR: An Efficient Low-Bit Quantized Detection Transformer S Xu, Y Li, M Lin, P Gao, G Guo, J Lu, B Zhang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Highlight), 2023 | 25 | 2023 |
| Resilient Binary Neural Network S Xu, Y Li, T Ma, M Lin, H Dong, B Zhang, P Gao, J Lu AAAI Conference on Artificial Intelligence (AAAI, Oral), 2023 | 22 | 2023 |
| Recurrent Bilinear Optimization for Binary Neural Networks S Xu, Y Li, T Wang, T Ma, B Zhang, P Gao, Y Qiao, J Lu, G Guo European Conference on Computer Vision (ECCV, Oral), 2022 | 22 | 2022 |
| IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors S Xu, Y Li, B Zeng, T Ma, B Zhang, X Cao, P Gao, J Lu European Conference on Computer Vision (ECCV), 2022 | 20 | 2022 |
| Towards Compact 1-Bit CNNs via Bayesian Learning J Zhao, S Xu, B Zhang, J Gu, D Doermann, G Guo International Journal of Computer Vision (IJCV), 1-25, 2021 | 15 | 2021 |
| BiRe-ID: Binary Neural Network for Efficient Person Re-ID S Xu, C Liu, B Zhang, J Lu, G Guo, D Doermann ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 13 | 2022 |
| Amplitude Suppression and Direction Activation in Networks for 1-Bit Faster R-CNN S Xu, Z Liu, X Gong, C Liu, M Mao, B Zhang International Workshop on Embedded and Mobile Deep Learning (EMDL), 19-24, 2020 | 12 | 2020 |
| POEM: 1-Bit Point-Wise Operations Based on Expectation-Maximization for Efficient Point Cloud Processing S Xu, Y Li, J Zhao, B Zhang, G Guo British Machine Vision Conference (BMVC), 2021 | 11 | 2021 |
| Efficient Structured Pruning Based on Deep Feature Stabilization S Xu, H Chen, X Gong, K Liu, J Lu, B Zhang Neural Computing and Applications (NCA) 33 (13), 7409-7420, 2021 | 11 | 2021 |
| RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model M Wang, K Chen, L Su, C Yan, S Xu, H Zhang, P Yuan, X Jiang, B Zhang IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2024 | 10 | 2024 |
| Neural Networks with Model Compression B Zhang, T Wang, S Xu, D Doermann Springer Press, 219-260, 2024 | 10 | 2024 |
| Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection Y Feng, X Wang, Y Xin, B Zhang, J Liu, M Mao, S Xu, B Zhang, S Han European Conference on Computer Vision, TOD Workshop (ECCVW), 324-330, 2020 | 9 | 2020 |
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