Zhihe Lu

40 papers A* 11Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
COLA: Context-Aware Language-Driven Test-Time Adaptation.
IEEE Trans. Image Process.
Aiming Zhang, Tianyuan Yu, Liang Bai, Jun Tang, Yanming Guo, Yirun Ruan, Yun Zhou, Zhihe Lu
2025 J jnl
COLA: Context-aware Language-driven Test-time Adaptation.
CoRR
Aiming Zhang, Tianyuan Yu, Liang Bai, Jun Tang, Yanming Guo, Yirun Ruan, Yun Zhou, Zhihe Lu
2025 — conf
CYFLOD: Cyclic Filtering and Loss Damping for Alleviating Noisy Labels in Fine-grained Visual Classification.
CVPR Workshops
Nauman Ullah Gilal, Khaled A. Al-Thelaya, Fahad Majeed, Zhihe Lu, Sabri Boughorbel, Jens Schneider, Marco Agus
2025 — conf
Multi-scale Dynamic Network for Document Shadow Removal.
MMAsia Workshops
Jiarui Li, Jiaqi Ma, Zeyu Xiao, Ziyi Zhuang, Zhihe Lu
2025 J jnl
Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion.
CoRR
Yuguang Zhang, Kuangpu Guo, Zhihe Lu, Yunbo Wang, Jian Liang
2025 J jnl
Self-evolved Imitation Learning in Simulated World.
CoRR
Yifan Ye, Jun Cen, Jing Chen, Zhihe Lu
2025 J jnl
Task-to-Instance Prompt Learning for Vision-Language Models at Test Time.
IEEE Trans. Image Process.
Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang
2025 J jnl
Temporal Realism Evaluation of Generated Videos Using Compressed-Domain Motion Vectors.
CoRR
Mert Onur Cakiroglu, Idil Bilge Altun, Zhihe Lu, Mehmet M. Dalkilic, Hasan Kurban
2025 J jnl
Token Expand-Merge: Training-Free Token Compression for Vision-Language-Action Models.
CoRR
Yifan Ye, Jiaqi Ma, Jun Cen, Zhihe Lu
2024 A* conf
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models.
ICML
Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang
2024 — conf
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation.
ECCV (67)
Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He
2024 J jnl
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation.
CoRR
Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He
2024 J jnl
Memory-Adaptive Vision-and-Language Navigation.
Pattern Recognit.
Keji He, Ya Jing, Yan Huang, Zhihe Lu, Dong An, Liang Wang
2024 A* conf
P-BiC: Ultra-High-Definition Image Moiré Patterns Removal via Patch Bilateral Compensation.
ACM Multimedia
Zeyu Xiao, Zhihe Lu, Xinchao Wang
2024 — conf
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach.
ECCV (45)
Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia
2024 J jnl
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach.
CoRR
Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia
2024 A* conf
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
NeurIPS
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 J jnl
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
CoRR
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 A* conf
Unraveling Motion Uncertainty for Local Motion Deblurring.
ACM Multimedia
Zeyu Xiao, Zhihe Lu, Michael Bi Mi, Zhiwei Xiong, Xinchao Wang
2023 J jnl
A Dive into SAM Prior in Image Restoration.
CoRR
Zeyu Xiao, Jiawang Bai, Zhihe Lu, Zhiwei Xiong
2023 J jnl
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models.
CoRR
Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang
2023 J jnl
Can SAM Boost Video Super-Resolution?
CoRR
Zhihe Lu, Zeyu Xiao, Jiawang Bai, Zhiwei Xiong, Xinchao Wang
2023 J jnl
Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation.
CoRR
Zhihe Lu, Shuicheng Yan, Xinchao Wang
2023 A* conf
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation.
NeurIPS
Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang
2023 A* conf
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph.
NeurIPS
Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang
2023 J jnl
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph.
CoRR
Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang
2023 J jnl
Prediction Calibration for Generalized Few-Shot Semantic Segmentation.
IEEE Trans. Image Process.
Zhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang
2023 A* conf
Task Residual for Tuning Vision-Language Models.
CVPR
Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang
2023 J jnl
Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation.
IEEE Trans. Image Process.
Zhihe Lu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2022 J jnl
Prediction Calibration for Generalized Few-shot Semantic Segmentation.
CoRR
Zhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang
2022 J jnl
Task Residual for Tuning Vision-Language Models.
CoRR
Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang
2021 A* conf
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer.
ICCV
Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang
2021 J jnl
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer.
CoRR
Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang
2020 A* conf
Stochastic Classifiers for Unsupervised Domain Adaptation.
CVPR
Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang
2018 A* conf
Conditional Expression Synthesis with Face Parsing Transformation.
ACM Multimedia
Zhihe Lu, Tanhao Hu, Lingxiao Song, Zhaoxiang Zhang, Ran He
2018 A* conf
Geometry Guided Adversarial Facial Expression Synthesis.
ACM Multimedia
Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun, Tieniu Tan
2017 J jnl
Geometry Guided Adversarial Facial Expression Synthesis.
CoRR
Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun, Tieniu Tan
2017 — conf
Recent Progress of Face Image Synthesis.
ACPR
Zhihe Lu, Zhihang Li, Jie Cao, Ran He, Zhenan Sun
2017 J jnl
Recent Progress of Face Image Synthesis.
CoRR
Zhihe Lu, Zhihang Li, Jie Cao, Ran He, Zhenan Sun
2016 — conf
Person identification from lip texture analysis.
DSP
Zhihe Lu, Xiang Wu, Ran He