Sheng Xu

48 papers A* 9A 2Misc 1Journal 31Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Associative Recurrent Bilinear Optimization for Domain-Generalized Binary Neural Networks.
Int. J. Comput. Vis.
Sheng Xu, Yanjing Li, Mingze Wang, Chuanjian Liu, Baochang Zhang
2025 J jnl
Calibrated gradient descent of convolutional neural networks for embodied visual recognition.
Image Vis. Comput.
Zhiming Wang, Sheng Xu, Li'an Zhuo, Baochang Zhang, Yanjing Li, Zhenqian Wang, Guodong Guo
2025 J jnl
ChatAnyone: Stylized Real-time Portrait Video Generation with Hierarchical Motion Diffusion Model.
CoRR
Jinwei Qi, Chaonan Ji, Sheng Xu, Peng Zhang, Bang Zhang, Liefeng Bo
2025 J jnl
Learning Accurate Low-bit Quantization towards Efficient Computational Imaging.
Int. J. Comput. Vis.
Sheng Xu, Yanjing Li, Chuanjian Liu, Baochang Zhang
2025 J jnl
PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion.
CoRR
Yichen Yang, Hong Li, Haodong Zhu, Linin Yang, Guojun Lei, Sheng Xu, Baochang Zhang
2025 J jnl
Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method.
CoRR
Qingcheng Zhu, Yangyang Ren, Linlin Yang, Mingbao Lin, Yanjing Li, Sheng Xu, Zichao Feng, Haodong Zhu, Yuguang Yang, Juan Zhang, Runqi Wang, Baochang Zhang
2025 J jnl
Wan-Animate: Unified Character Animation and Replacement with Holistic Replication.
CoRR
Gang Cheng, Xin Gao, Li Hu, Siqi Hu, Mingyang Huang, Chaonan Ji, Ju Li, Dechao Meng, Jinwei Qi, Penchong Qiao, Zhen Shen, Yafei Song, Ke Sun, Linrui Tian, Feng Wang, Guangyuan Wang, Qi Wang, Zhongjian Wang, Jiayu Xiao, Sheng Xu, Bang Zhang, Peng Zhang, Xindi Zhang, Zhe Zhang, Jingren Zhou, Lian Zhuo
2025 J jnl
Wan-S2V: Audio-Driven Cinematic Video Generation.
CoRR
Xin Gao, Li Hu, Siqi Hu, Mingyang Huang, Chaonan Ji, Dechao Meng, Jinwei Qi, Penchong Qiao, Zhen Shen, Yafei Song, Ke Sun, Linrui Tian, Guangyuan Wang, Qi Wang, Zhongjian Wang, Jiayu Xiao, Sheng Xu, Bang Zhang, Peng Zhang, Xindi Zhang, Zhe Zhang, Jingren Zhou, Lian Zhuo
2024 A* conf
Bi-ViT: Pushing the Limit of Vision Transformer Quantization.
AAAI
Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
2024 J jnl
CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset.
CoRR
Zhiming Wang, Mingze Wang, Sheng Xu, Yanjing Li, Baochang Zhang
2024 A* conf
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement.
ICML
Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun
2024 — book
Neural Networks with Model Compression
Baochang Zhang, Tiancheng Wang, Sheng Xu, David S. Doermann
2024 J jnl
RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model.
IEEE Trans. Geosci. Remote. Sens.
Mingze Wang, Lili Su, Cilin Yan, Sheng Xu, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang
2024 J jnl
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model.
CoRR
Mingze Wang, Keyan Chen, Lili Su, Cilin Yan, Sheng Xu, Haotian Zhang, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang
2023 J jnl
Bi-ViT: Pushing the Limit of Vision Transformer Quantization.
CoRR
Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
2023 J jnl
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs.
CoRR
Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo
2023 J jnl
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs.
Int. J. Comput. Vis.
Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo
2023 A* conf
Implicit Diffusion Models for Continuous Super-Resolution.
CVPR
Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang
2023 J jnl
Implicit Diffusion Models for Continuous Super-Resolution.
CoRR
Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang
2023 A* conf
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer.
CVPR
Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang
2023 J jnl
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer.
CoRR
Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang
2023 A* conf
Q-DM: An Efficient Low-bit Quantized Diffusion Model.
NeurIPS
Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang
2023 A* conf
Representation Disparity-aware Distillation for 3D Object Detection.
ICCV
Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao
2023 J jnl
Representation Disparity-aware Distillation for 3D Object Detection.
CoRR
Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao
2023 A* conf
Resilient Binary Neural Network.
AAAI
Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu
2023 J jnl
Resilient Binary Neural Network.
CoRR
Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv
2022 J jnl
BiRe-ID: Binary Neural Network for Efficient Person Re-ID.
ACM Trans. Multim. Comput. Commun. Appl.
Sheng Xu, Chang Liu, Baochang Zhang, Jinhu Lü, Guodong Guo, David S. Doermann
2022 J jnl
Data-adaptive binary neural networks for efficient object detection and recognition.
Pattern Recognit. Lett.
Junhe Zhao, Sheng Xu, Runqi Wang, Baochang Zhang, Guodong Guo, David S. Doermann, Dianmin Sun
2022 J jnl
Filter pruning via expectation-maximization.
Neural Comput. Appl.
Sheng Xu, Yanjing Li, Linlin Yang, Baochang Zhang, Dianmin Sun, Kexin Liu
2022 — conf
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors.
ECCV (11)
Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü
2022 J jnl
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors.
CoRR
Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lv
2022 A* conf
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer.
NeurIPS
Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo
2022 J jnl
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer.
CoRR
Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo
2022 — conf
Recurrent Bilinear Optimization for Binary Neural Networks.
ECCV (24)
Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo
2022 J jnl
Recurrent Bilinear Optimization for Binary Neural Networks.
CoRR
Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lv, Guodong Guo
2022 J jnl
TerViT: An Efficient Ternary Vision Transformer.
CoRR
Sheng Xu, Yanjing Li, Teli Ma, Bohan Zeng, Baochang Zhang, Peng Gao, Jinhu Lv
2022 J jnl
Towards Compact 1-bit CNNs via Bayesian Learning.
Int. J. Comput. Vis.
Junhe Zhao, Sheng Xu, Baochang Zhang, Jiaxin Gu, David S. Doermann, Guodong Guo
2022 A conf
Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition.
BMVC
Teli Ma, Shijie Geng, Mengmeng Wang, Sheng Xu, Hongsheng Li, Baochang Zhang, Peng Gao, Yu Qiao
2021 J jnl
Efficient structured pruning based on deep feature stabilization.
Neural Comput. Appl.
Sheng Xu, Hanlin Chen, Xuan Gong, Kexin Liu, Jinhu Lü, Baochang Zhang
2021 J jnl
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data.
CoRR
Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu
2021 J jnl
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data.
Proc. VLDB Endow.
Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu
2021 A* conf
Layer-Wise Searching for 1-Bit Detectors.
CVPR
Sheng Xu, Junhe Zhao, Jinhu Lü, Baochang Zhang, Shumin Han, David S. Doermann
2021 A conf
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing.
BMVC
Sheng Xu, Junhe Zhao, Yanjing Li, Baochang Zhang, Guodong Guo
2021 J jnl
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing.
CoRR
Sheng Xu, Yanjing Li, Junhe Zhao, Baochang Zhang, Guodong Guo
2020 — conf
Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection.
ECCV Workshops (5)
Yuan Feng, Xiaodi Wang, Ying Xin, Bin Zhang, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han
2020 — conf
The 1st Tiny Object Detection Challenge: Methods and Results.
ECCV Workshops (5)
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
2020 J jnl
The 1st Tiny Object Detection Challenge: Methods and Results.
CoRR
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
2019 Misc conf
Efficient Block Pruning Based on Kernel and Feature Stablization.
DICTA
Sheng Xu, Hanlin Chen, Kexin Liu, Jinhu Lü, Baochang Zhang