Sheng Xu

According to our database, Sheng Xu authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model.

Mingze Wang, Lili Su, Cilin Yan, Sheng Xu, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset.

Zhiming Wang, Mingze Wang, Sheng Xu, Yanjing Li, Baochang Zhang

CoRR, 2024

RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model.

Mingze Wang, Keyan Chen, Lili Su, Cilin Yan, Sheng Xu, Haotian Zhang, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang

CoRR, 2024

Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement.

Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bi-ViT: Pushing the Limit of Vision Transformer Quantization.

Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Neural Networks with Model Compression

Baochang Zhang, Tiancheng Wang, Sheng Xu, David S. Doermann

Springer, ISBN: 978-981-99-5067-6, 2024

2023

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs.

Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo

Int. J. Comput. Vis., 2023

Q-DM: An Efficient Low-bit Quantized Diffusion Model.

Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Representation Disparity-aware Distillation for 3D Object Detection.

Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer.

Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Implicit Diffusion Models for Continuous Super-Resolution.

Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Resilient Binary Neural Network.

Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

BiRe-ID: Binary Neural Network for Efficient Person Re-ID.

Sheng Xu, Chang Liu, Baochang Zhang, Jinhu Lü, Guodong Guo, David S. Doermann

ACM Trans. Multim. Comput. Commun. Appl., 2022

Data-adaptive binary neural networks for efficient object detection and recognition.

Junhe Zhao, Sheng Xu, Runqi Wang, Baochang Zhang, Guodong Guo, David S. Doermann, Dianmin Sun

Pattern Recognit. Lett., 2022

Filter pruning via expectation-maximization.

Sheng Xu, Yanjing Li, Linlin Yang, Baochang Zhang, Dianmin Sun, Kexin Liu

Neural Comput. Appl., 2022

Towards Compact 1-bit CNNs via Bayesian Learning.

Junhe Zhao, Sheng Xu, Baochang Zhang, Jiaxin Gu, David S. Doermann, Guodong Guo

Int. J. Comput. Vis., 2022

TerViT: An Efficient Ternary Vision Transformer.

Sheng Xu, Yanjing Li, Teli Ma, Bohan Zeng, Baochang Zhang, Peng Gao, Jinhu Lv

CoRR, 2022

Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer.

Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors.

Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü

Proceedings of the Computer Vision - ECCV 2022, 2022

Recurrent Bilinear Optimization for Binary Neural Networks.

Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo

Proceedings of the Computer Vision, 2022

Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition.

Teli Ma, Shijie Geng, Mengmeng Wang, Sheng Xu, Hongsheng Li, Baochang Zhang, Peng Gao, Yu Qiao

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Efficient structured pruning based on deep feature stabilization.

Sheng Xu, Hanlin Chen, Xuan Gong, Kexin Liu, Jinhu Lü, Baochang Zhang

Neural Comput. Appl., 2021

Layer-Wise Searching for 1-Bit Detectors.

Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David S. Doermann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing.

Sheng Xu, Junhe Zhao, Yanjing Li, Baochang Zhang, Guodong Guo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

The 1st Tiny Object Detection Challenge: Methods and Results.

Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection.

Yuan Feng, Xiaodi Wang, Ying Xin, Bin Zhang, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Efficient Block Pruning Based on Kernel and Feature Stablization.

Sheng Xu, Hanlin Chen, Kexin Liu, Jinhu Lü, Baochang Zhang

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019