Jingwen Ye

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 45

Top Topics

Pose Estimation

Binocular Stereo

Mathematical Concepts

Top Venues

IEEE Trans. Image Process.

Publications

Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song
Improving Adversarial Robustness via Feature Pattern Consistency Constraint. CoRR (2024)
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Distilled Datamodel with Reverse Gradient Matching. CoRR (2024)
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Mutual-Modality Adversarial Attack with Semantic Perturbation. AAAI (2024)
Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. CoRR (2024)
Jingwen Ye, Xinchao Wang
Ungeneralizable Examples. CoRR (2024)
Songhua Liu, Jingwen Ye, Xinchao Wang
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate. CoRR (2023)
Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. KDD (2023)
Jingwen Ye, Songhua Liu, Xinchao Wang
Partial Network Cloning. CVPR (2023)
Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang
Slimmable Dataset Condensation. CVPR (2023)
Jingwen Ye, Songhua Liu, Xinchao Wang
Partial Network Cloning. CoRR (2023)
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Mutual-modality Adversarial Attack with Semantic Perturbation. CoRR (2023)
Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. CoRR (2023)
Felix Neutatz, Binger Chen, Yazan Alkhatib, Jingwen Ye, Ziawasch Abedjan
Data Cleaning and AutoML: Would an Optimizer Choose to Clean? Datenbank-Spektrum 22 (2) (2022)
Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
Safe Distillation Box. AAAI (2022)
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. CoRR (2022)
Xingyi Yang, Jingwen Ye, Xinchao Wang
Factorizing Knowledge in Neural Networks. CoRR (2022)
Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song
A Survey of Neural Trees. CoRR (2022)
Xingyi Yang, Jingwen Ye, Xinchao Wang
Factorizing Knowledge in Neural Networks. ECCV (34) (2022)
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
Deep Model Reassembly. NeurIPS (2022)
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
Dataset Distillation via Factorization. NeurIPS (2022)
Jie Song, Ying Chen, Jingwen Ye, Mingli Song
Spot-adaptive Knowledge Distillation. CoRR (2022)
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
Dataset Distillation via Factorization. CoRR (2022)
Jie Song, Ying Chen, Jingwen Ye, Mingli Song
Spot-Adaptive Knowledge Distillation. IEEE Trans. Image Process. 31 (2022)
Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
Learning with Recoverable Forgetting. ECCV (11) (2022)
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
Deep Model Reassembly. CoRR (2022)
Jingwen Ye, Zunlei Feng, Xinchao Wang
Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples. VCIP (2022)
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. ECCV (16) (2022)
Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
Learning with Recoverable Forgetting. CoRR (2022)
Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua
Unleashing the Potential of Adaptation Models via Go-getting Domain Labels. ECCV Workshops (8) (2022)
Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song
Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark. PRCV (4) (2021)
Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan
Online Knowledge Distillation for Efficient Pose Estimation. ICCV (2021)
Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan
Online Knowledge Distillation for Efficient Pose Estimation. CoRR (2021)
Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
Safe Distillation Box. CoRR (2021)
Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CVPR (2020)
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CoRR (2020)
Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CoRR (2020)
Jingwen Ye, Yongcheng Jing, Xinchao Wang, Kairi Ou, Dacheng Tao, Mingli Song
Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance. IEEE Trans. Image Process. 29 (2020)
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CVPR (2020)
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song
Neural Style Transfer: A Review. IEEE Trans. Vis. Comput. Graph. 26 (11) (2020)
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CoRR (2019)
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CVPR (2019)
Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. CoRR (2019)
Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. IJCAI (2019)
Jingwen Ye, Zunlei Feng, Yongcheng Jing, Mingli Song
Finer-Net: Cascaded Human Parsing with Hierarchical Granularity. ICME (2018)
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Mingli Song
Neural Style Transfer: A Review. CoRR (2017)