Ying Zhang

According to our database, Ying Zhang authored at least 25 papers between 2015 and 2025.

Collaborative distances:

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

2025

Regularizing Subspace Redundancy of Low-Rank Adaptation.

Yue Zhu, Haiwen Diao, Shang Gao, Jiazuo Yu, Jiawen Zhu, Yunzhi Zhuge, Shuai Hao, Xu Jia, Lu Zhang, Ying Zhang, Huchuan Lu

CoRR, July, 2025

ED⁴: Explicit Data-Level Debiasing for Deepfake Detection.

Jikang Cheng, Ying Zhang, Qin Zou, Zhiyuan Yan, Chao Liang, Zhongyuan Wang, Chen Li

IEEE Trans. Image Process., 2025

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection.

Jikang Cheng, Zhiyuan Yan, Ying Zhang, Li Hao, Jiaxin Ai, Qin Zou, Chen Li, Zhongyuan Wang

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

2024

Audio2Gestures: Generating Diverse Gestures From Audio.

Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Linchao Bao, Zhenyu He

IEEE Trans. Vis. Comput. Graph., August, 2024

GSSF: Generalized Structural Sparse Function for Deep Cross-Modal Metric Learning.

Haiwen Diao, Ying Zhang, Shang Gao, Jiawen Zhu, Long Chen, Huchuan Lu

IEEE Trans. Image Process., 2024

Deep Boosting Learning: A Brand-New Cooperative Approach for Image-Text Matching.

Haiwen Diao, Ying Zhang, Shang Gao, Xiang Ruan, Huchuan Lu

IEEE Trans. Image Process., 2024

DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World.

Jikang Cheng, Ying Zhang, Zhongyuan Wang, Zou Qin, Chen Li

CoRR, 2024

Can We Leave Deepfake Data Behind in Training Deepfake Detector?

Jikang Cheng, Zhiyuan Yan, Ying Zhang, Yuhao Luo, Zhongyuan Wang, Chen Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning.

Haiwen Diao, Bo Wan, Xu Jia, Yunzhi Zhuge, Ying Zhang, Huchuan Lu, Long Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory.

Haiwen Diao, Bo Wan, Ying Zhang, Xu Jia, Huchuan Lu, Long Chen

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

2023

Plug-and-Play Regulators for Image-Text Matching.

Haiwen Diao, Ying Zhang, Wei Liu, Xiang Ruan, Huchuan Lu

IEEE Trans. Image Process., 2023

2021

Self-attention guided representation learning for image-text matching.

Xuefei Qi, Ying Zhang, Jinqing Qi, Huchuan Lu

Neurocomputing, 2021

Animatable Neural Radiance Fields from Monocular RGB Video.

Jianchuan Chen, Ying Zhang, Di Kang, Xuefei Zhe, Linchao Bao, Huchuan Lu

CoRR, 2021

Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders.

Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Zhenyu He, Linchao Bao

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

Model-Based 3D Hand Reconstruction via Self-Supervised Learning.

Yujin Chen, Zhigang Tu, Di Kang, Linchao Bao, Ying Zhang, Xuefei Zhe, Ruizhi Chen, Junsong Yuan

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

Similarity Reasoning and Filtration for Image-Text Matching.

Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Subspace Clustering Under Complex Noise.

Baohua Li, Huchuan Lu, Ying Zhang, Zhouchen Lin, Wei Wu

IEEE Trans. Circuits Syst. Video Technol., 2019

2018

Cross-view semantic projection learning for person re-identification.

Ju Dai, Ying Zhang, Huchuan Lu, Hongyu Wang

Pattern Recognit., 2018

Deep Cross-Modal Projection Learning for Image-Text Matching.

Ying Zhang, Huchuan Lu

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Mutual Learning.

Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Video anomaly detection based on locality sensitive hashing filters.

Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan, Shun Sakai

Pattern Recognit., 2016

Combining motion and appearance cues for anomaly detection.

Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan

Pattern Recognit., 2016

Sample-Specific SVM Learning for Person Re-identification.

Ying Zhang, Baohua Li, Huchuan Lu, Atshushi Irie, Xiang Ruan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Salient object detection via global and local cues.

Na Tong, Huchuan Lu, Ying Zhang, Xiang Ruan

Pattern Recognit., 2015

Subspace clustering by Mixture of Gaussian Regression.

Baohua Li, Ying Zhang, Zhouchen Lin, Huchuan Lu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015