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 | 132 | 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 | 67 | 2022 |
Convolutional Neural Network Pruning: A Survey S Xu, A Huang, L Chen, B Zhang Chinese Control Conference (CCC), 7458-7463, 2020 | 62 | 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 | 36* | 2022 |
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 | 36 | 2020 |
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 | 35 | 2021 |
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 | 20 | 2022 |
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 | 20 | 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 | 17 | 2022 |
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 | 15 | 2023 |
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 | 15 | 2023 |
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 |
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 | 12 | 2023 |
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 | 12 | 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 | 10 | 2021 |
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 |
Aerial Small Object Tracking with Transformers C Liu, S Xu, B Zhang IEEE International Conference on Unmanned Systems (ICUS), 954-959, 2021 | 7 | 2021 |
TerViT: An Efficient Ternary Vision Transformer S Xu, Y Li, T Ma, B Zeng, B Zhang, P Gao, J Lu arXiv preprint arXiv:2201.08050, 2022 | 6 | 2022 |