Yuanjie Shao

According to our database, Yuanjie Shao authored at least 38 papers between 2015 and 2026.

Collaborative distances:

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

2026

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models.

Yiyang Zhang, Chaojian Yu, Ziming Hong, Yuanjie Shao, Qinmu Peng, Tongliang Liu, Xinge You

CoRR, April, 2026

WRF4CIR: Weight-Regularized Fine-Tuning Network for Composed Image Retrieval.

Yizhuo Xu, Chaojian Yu, Yuanjie Shao, Tongliang Liu, Qinmu Peng, Xinge You

CoRR, April, 2026

Dynamic Semantic Complementary Network for Zero-Shot Learning.

Shuhuang Chen, Shiming Chen, Ziming Hong, Yuanjie Shao, Xinge You

IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

2025

Learning Unpaired Image Dehazing with Physics-based Rehazy Generation.

Haoyou Deng, Zhiqiang Li, Feng Zhang, Qingbo Lu, Zisheng Cao, Yuanjie Shao, Shuhang Gu, Changxin Gao, Nong Sang

CoRR, June, 2025

Object-Aware Video Matting with Cross-Frame Guidance.

Huayu Zhang, Dongyue Wu, Yuanjie Shao, Nong Sang, Changxin Gao

CoRR, March, 2025

Exploring sample relationship for few-shot classification.

Xingye Chen, Wenxiao Wu, Li Ma, Xinge You, Changxin Gao, Nong Sang, Yuanjie Shao

Pattern Recognit., 2025

CTR-Driven Advertising Image Generation with Multimodal Large Language Models.

Xingye Chen, Wei Feng, Zhenbang Du, Weizhen Wang, Yanyin Chen, Haohan Wang, Linkai Liu, Yaoyu Li, Jinyuan Zhao, Yu Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Zhangang Lin, Jingping Shao, Yuanjie Shao, Xinge You, Changxin Gao, Nong Sang

Proceedings of the ACM on Web Conference 2025, 2025

FastJSMA: Accelerating Jacobian-Based Saliency Map Attacks Through Gradient Decoupling.

Zhenghao Gao, Shengjie Xu, Zijing Li, Meixi Chen, Chaojian Yu, Yuanjie Shao, Changxin Gao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results.

Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Difficulty-Aware Dynamic Network for Lightweight Exposure Correction.

Ziwen Li, Yuanjie Shao, Feng Zhang, Jinpu Zhang, Yuehuan Wang, Nong Sang

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Query-centric distance modulator for few-shot classification.

Wenxiao Wu, Yuanjie Shao, Changxin Gao, Jing-Hao Xue, Nong Sang

Pattern Recognit., 2024

Few-shot object detection: Research advances and challenges.

Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao, Weiping Ding, Xinge You

Inf. Fusion, 2024

Open-Vocabulary Semantic Segmentation with Image Embedding Balancing.

Xiangheng Shan, Dongyue Wu, Guilin Zhu, Yuanjie Shao, Nong Sang, Changxin Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling.

Ziwen Li, Feng Zhang, Meng Cao, Jinpu Zhang, Yuanjie Shao, Yuehuan Wang, Nong Sang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Improving the Generalization of MAML in Few-Shot Classification via Bi-Level Constraint.

Yuanjie Shao, Wenxiao Wu, Xinge You, Changxin Gao, Nong Sang

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Adaptive Semantic Consistency for Cross-domain Few-shot Classification.

Hengchu Lu, Yuanjie Shao, Xiang Wang, Changxin Gao

CoRR, 2023

Self-supervised Low-Light Image Enhancement via Histogram Equalization Prior.

Feng Zhang, Yuanjie Shao, Yishi Sun, Changxin Gao, Nong Sang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Instance-Based Feature Pyramid for Visual Object Tracking.

Zhixiong Pi, Yuanjie Shao, Changxin Gao, Nong Sang

IEEE Trans. Circuits Syst. Video Technol., 2022

Context-aware Proposal Network for Temporal Action Detection.

Xiang Wang, Huaxin Zhang, Shiwei Zhang, Changxin Gao, Yuanjie Shao, Nong Sang

CoRR, 2022

Semantic Compression Embedding for Generative Zero-Shot Learning.

Ziming Hong, Shiming Chen, Guo-Sen Xie, Wenhan Yang, Jian Zhao, Yuanjie Shao, Qinmu Peng, Xinge You

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Centroid Representation Network for Domain Adaptive Person Re-ID.

Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

CondNet: Conditional Classifier for Scene Segmentation.

Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang

IEEE Signal Process. Lett., 2021

Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior.

Feng Zhang, Yuanjie Shao, Yishi Sun, Kai Zhu, Changxin Gao, Nong Sang

CoRR, 2021

Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling.

Xiang Wang, Zhiwu Qing, Ziyuan Huang, Yutong Feng, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Yuanjie Shao, Nong Sang

CoRR, 2021

Weakly Supervised Text-based Person Re-Identification.

Shizhen Zhao, Changxin Gao, Yuanjie Shao, Wei-Shi Zheng, Nong Sang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

OadTR: Online Action Detection with Transformers.

Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Supervised Learning for Semi-Supervised Temporal Action Proposal.

Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Changxin Gao, Nong Sang

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

2020

Joint image restoration and matching method based on distance-weighted sparse representation prior.

Yuanjie Shao, Nong Sang, Yacheng Li, Wenhao Li, Changxin Gao

Pattern Recognit. Lett., 2020

Joint image deblurring and matching with feature-based sparse representation prior.

Juncai Peng, Yuanjie Shao, Nong Sang, Changxin Gao

Pattern Recognit., 2020

Domain Adaptation for Image Dehazing.

Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GTNet: Generative Transfer Network for Zero-Shot Object Detection.

Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Joint Image Deblurring and Matching with Blurred Invariant-Based Sparse Representation Prior.

Yuanjie Shao, Nong Sang, Juncai Peng, Changxin Gao

Complex., 2019

Joint Image Restoration and Matching Based on Hierarchical Sparse Representation.

Wenhao Li, Nong Sang, Changxin Gao, Yuanjie Shao

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Representation Space-Based Discriminative Graph Construction for Semisupervised Hyperspectral Image Classification.

Yuanjie Shao, Nong Sang, Changxin Gao

IEEE Signal Process. Lett., 2018

Spatial and class structure regularized sparse representation graph for semi-supervised hyperspectral image classification.

Yuanjie Shao, Nong Sang, Changxin Gao, Li Ma

Pattern Recognit., 2018

Joint Image Restoration and Matching Based on Distance-Weighted Sparse Representation.

Yuanjie Shao, Nong Sang, Changxin Gao, Wei Lin

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification.

Yuanjie Shao, Nong Sang, Changxin Gao, Li Ma

Pattern Recognit., 2017

2015

A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image Classification.

Yuanjie Shao, Changxin Gao, Nong Sang

Proceedings of the Computer Vision - CCF Chinese Conference, 2015