Hong Liu

74 papers A* 22A 3B 1Journal 42Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
QuMAB: Query-based Multi-annotator Behavior Pattern Learning.
AAAI
Liyun Zhang, Zheng Lian, Hong Liu, Takanori Takebe, Shozo Nishii, Yuta Nakashima
2026 J jnl
Quality-Agnostic Deepfake Detection With Saliency-Guided Restoration and Adaptive Fusion.
IEEE Internet Things J.
Xiaotian Si, Linghui Li, Zhihao Tang, Bingyu Li, Liwei Zhang, Kaiguo Yuan, Hong Liu, Qi Tian
2026 J jnl
Rethinking Crowd Localization Evaluation via Optimal Transportation Cost.
IEEE Trans. Circuits Syst. Video Technol.
Jun-Xiu Li, Hong Liu, Xiao Wu, Yu-Pei Song, Zhenhua zeng, Shin'ichi Satoh
2026 A* conf
SimLabel: Similarity-Weighted Semi-supervision for Multi-annotator Learning with Missing Labels.
AAAI
Liyun Zhang, Zheng Lian, Hong Liu, Takanori Takebe, Yuta Nakashima
2025 J jnl
Conditional Diffusion Models for Camouflaged and Salient Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Ke Sun, Zhongxi Chen, Xianming Lin, Xiaoshuai Sun, Hong Liu, Rongrong Ji
2025 — conf
Deep Dual Internal Learning for Hyperspectral Image Super-Resolution.
MMM (1)
Yongqing Sun, Hong Liu, Qiong Chang, Xianhua Han
2025 J jnl
E-InMeMo: Enhanced Prompting for Visual In-Context Learning.
CoRR
Jiahao Zhang, Bowen Wang, Hong Liu, Liangzhi Li, Yuta Nakashima, Hajime Nagahara
2025 J jnl
E-InMeMo: Enhanced Prompting for Visual In-Context Learning.
J. Imaging
Jiahao Zhang, Bowen Wang, Hong Liu, Liangzhi Li, Yuta Nakashima, Hajime Nagahara
2025 J jnl
ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion.
CoRR
Xurui Peng, Hong Liu, Chenqian Yan, Rui Ma, Fangmin Chen, Xing Wang, Zhihua Wu, Songwei Liu, Mingbao Lin
2025 J jnl
Guest Editorial: Special Issue on Open-World Visual Recognition.
Int. J. Comput. Vis.
Zhun Zhong, Hong Liu, Yin Cui, Shin'ichi Satoh, Nicu Sebe, Ming-Hsuan Yang
2025 J jnl
PANICL: Mitigating Over-Reliance on Single Prompt in Visual In-Context Learning.
CoRR
Jiahao Zhang, Bowen Wang, Hong Liu, Yuta Nakashima, Hajime Nagahara
2025 A conf
Paladin: Understanding Video Intentions in Political Advertisement Videos.
WACV
Hong Liu, Yuta Nakashima, Noboru Babaguchi
2025 J jnl
QuMAB: Query-based Multi-annotator Behavior Pattern Learning.
CoRR
Liyun Zhang, Zheng Lian, Hong Liu, Takanori Takebe, Yuta Nakashima
2025 J jnl
QuMATL: Query-based Multi-annotator Tendency Learning.
CoRR
Liyun Zhang, Zheng Lian, Hong Liu, Takanori Takebe, Yuta Nakashima
2025 J jnl
SimLabel: Similarity-Weighted Semi-supervision for Multi-annotator Learning with Missing Labels.
CoRR
Liyun Zhang, Zheng Lian, Hong Liu, Takanori Takebe, Yuta Nakashima
2024 B conf
CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search.
ESANN
Antoine Gratia, Hong Liu, Shin'ichi Satoh, Paul Temple, Pierre-Yves Schobbens, Gilles Perrouin
2024 J jnl
Deep Counterfactual Representation Learning for Visual Recognition Against Weather Corruptions.
IEEE Trans. Multim.
Hong Liu, Yongqing Sun, Yukihiro Bandoh, Masaki Kitahara, Shin'ichi Satoh
2024 J jnl
Defense Against Adversarial Attacks Using Topology Aligning Adversarial Training.
IEEE Trans. Inf. Forensics Secur.
Huafeng Kuang, Hong Liu, Xianming Lin, Rongrong Ji
2024 A* conf
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion.
NeurIPS
Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji
2024 J jnl
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion.
CoRR
Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji
2024 J jnl
Improving deep metric learning via self-distillation and online batch diffusion process.
Vis. Intell.
Zelong Zeng, Fan Yang, Hong Liu, Shin'ichi Satoh
2024 A* conf
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint).
IJCAI
Hong Liu, Zhun Zhong, Nicu Sebe, Shin'ichi Satoh
2023 A* conf
Improving Adversarial Robustness via Information Bottleneck Distillation.
NeurIPS
Huafeng Kuang, Hong Liu, Yongjian Wu, Shin'ichi Satoh, Rongrong Ji
2023 J jnl
Latent Feature Relation Consistency for Adversarial Robustness.
CoRR
Xingbin Liu, Huafeng Kuang, Hong Liu, Xianming Lin, Yongjian Wu, Rongrong Ji
2023 J jnl
Mitigating robust overfitting via self-residual-calibration regularization.
Artif. Intell.
Hong Liu, Zhun Zhong, Nicu Sebe, Shin'ichi Satoh
2023 J jnl
Rethinking Adversarial Training with A Simple Baseline.
CoRR
Hong Liu, Shin'ichi Satoh
2023 A* conf
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection.
CVPR
Zhenglin Zhou, Huaxia Li, Hong Liu, Nanyang Wang, Gang Yu, Rongrong Ji
2023 J jnl
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection.
CoRR
Zhenglin Zhou, Huaxia Li, Hong Liu, Nanyang Wang, Gang Yu, Rongrong Ji
2023 J jnl
Semantically Consistent Visual Representation for Adversarial Robustness.
IEEE Trans. Inf. Forensics Secur.
Huafeng Kuang, Hong Liu, Yongjian Wu, Rongrong Ji
2023 J jnl
Towards Robust Person Re-Identification by Defending Against Universal Attackers.
IEEE Trans. Pattern Anal. Mach. Intell.
Fengxiang Yang, Juanjuan Weng, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Donglin Cao, Shaozi Li, Shin'ichi Satoh, Nicu Sebe
2023 J jnl
Win-Win by Competition: Auxiliary-Free Cloth-Changing Person Re-Identification.
IEEE Trans. Image Process.
Zhengwei Yang, Xian Zhong, Zhun Zhong, Hong Liu, Zheng Wang, Shin'ichi Satoh
2022 — conf
An Information Theoretic Approach for Attention-Driven Face Forgery Detection.
ECCV (14)
Ke Sun, Hong Liu, Taiping Yao, Xiaoshuai Sun, Shen Chen, Shouhong Ding, Rongrong Ji
2022 A conf
Attentive Decoupling Network for Cloth-Changing Re-Identification.
ICME
Zhengwei Yang, Xian Zhong, Hong Liu, Zhun Zhong, Zheng Wang
2022 — conf
Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack.
ECCV (5)
Yixu Wang, Jie Li, Hong Liu, Yan Wang, Yongjian Wu, Feiyue Huang, Rongrong Ji
2022 J jnl
Facial-sketch Synthesis: A New Challenge.
Int. J. Autom. Comput.
Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool
2022 J jnl
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning.
CoRR
Zelong Zeng, Fan Yang, Hong Liu, Shin'ichi Satoh
2022 J jnl
Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint.
Int. J. Softw. Informatics
Liujuan Cao, Huafeng Kuang, Hong Liu, Yan Wang, Baochang Zhang, Feiyue Huang, Yongjian Wu, Rongrong Ji
2021 J jnl
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack.
CoRR
Yixu Wang, Jie Li, Hong Liu, Yongjian Wu, Rongrong Ji
2021 J jnl
Deep Facial Synthesis: A New Challenge.
CoRR
Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool
2021 A* conf
Domain General Face Forgery Detection by Learning to Weight.
AAAI
Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji
2021 — conf
Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels.
MMAsia
Nobukatsu Kajiura, Hong Liu, Shin'ichi Satoh
2021 J jnl
Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels.
CoRR
Nobukatsu Kajiura, Hong Liu, Shin'ichi Satoh
2021 A* conf
Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning.
AAAI
Fengxiang Yang, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Shaozi Li, Nicu Sebe, Shin'ichi Satoh
2021 A* conf
Towards Robustness Against Natural Language Word Substitutions.
ICLR
Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu
2021 J jnl
Towards Robustness Against Natural Language Word Substitutions.
CoRR
Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu
2020 — conf
API-Net: Robust Generative Classifier via a Single Discriminator.
ECCV (13)
Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian
2020 J jnl
Anti-Bandit Neural Architecture Search for Model Defense.
CoRR
Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann
2020 — conf
Anti-bandit Neural Architecture Search for Model Defense.
ECCV (13)
Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann
2020 J jnl
Hadamard Matrix Guided Online Hashing.
Int. J. Comput. Vis.
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian
2020 A* conf
Projection & Probability-Driven Black-Box Attack.
CVPR
Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian
2020 J jnl
Projection & Probability-Driven Black-Box Attack.
CoRR
Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian
2019 J jnl
Hadamard Matrix Guided Online Hashing.
CoRR
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian
2019 A* conf
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network.
AAAI
Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji
2019 A* conf
Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing.
ACM Multimedia
Huafeng Kuang, Rongrong Ji, Hong Liu, Shengchuan Zhang, Xiaoshuai Sun, Feiyue Huang, Baochang Zhang
2019 J jnl
Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search.
IEEE Trans. Pattern Anal. Mach. Intell.
Hong Liu, Rongrong Ji, Jingdong Wang, Chunhua Shen
2019 J jnl
Supervised Online Hashing via Hadamard Codebook Learning.
CoRR
Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Wu
2019 A* conf
Towards Optimal Discrete Online Hashing with Balanced Similarity.
AAAI
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu
2019 J jnl
Towards Optimal Discrete Online Hashing with Balanced Similarity.
CoRR
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu
2019 A* conf
Towards Visual Feature Translation.
CVPR
Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian
2019 A* conf
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation.
ICCV
Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang
2019 A* conf
Universal Perturbation Attack Against Image Retrieval.
ICCV
Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, Qi Tian
2018 A* conf
Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval.
ACM Multimedia
Hong Liu, Mingbao Lin, Shengchuan Zhang, Yongjian Wu, Feiyue Huang, Rongrong Ji
2018 J jnl
Less is More: Unified Model for Unsupervised Multi-Domain Image-to-Image Translation.
CoRR
Xiao Liu, Shengchuan Zhang, Hong Liu, Xin Liu, Rongrong Ji
2018 A* conf
Supervised Online Hashing via Hadamard Codebook Learning.
ACM Multimedia
Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Wu
2018 A conf
Towards Compact Visual Descriptor via Deep Fisher Network with Binary Embedding.
ICME
Jianqiang Qian, Xianming Lin, Hong Liu, Youming Deng, Rongrong Ji
2018 J jnl
Towards Visual Feature Translation.
CoRR
Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian
2018 J jnl
Universal Perturbation Attack Against Image Retrieval.
CoRR
Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, Qi Tian
2017 A* conf
Cross-Modality Binary Code Learning via Fusion Similarity Hashing.
CVPR
Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, Baochang Zhang
2017 A* conf
Ordinal Constrained Binary Code Learning for Nearest Neighbor Search.
AAAI
Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang
2017 J jnl
Toward Optimal Manifold Hashing via Discrete Locally Linear Embedding.
IEEE Trans. Image Process.
Rongrong Ji, Hong Liu, Liujuan Cao, Di Liu, Yongjian Wu, Feiyue Huang
2016 J jnl
Ordinal Constrained Binary Code Learning for Nearest Neighbor Search.
CoRR
Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang
2016 A* conf
Supervised Matrix Factorization for Cross-Modality Hashing.
IJCAI
Hong Liu, Rongrong Ji, Yongjian Wu, Gang Hua
2016 J jnl
Supervised Matrix Factorization for Cross-Modality Hashing.
CoRR
Hong Liu, Rongrong Ji, Yongjian Wu, Gang Hua
2016 A* conf
Towards Optimal Binary Code Learning via Ordinal Embedding.
AAAI
Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu