Huan Liu

papers

642

total citations

papers (16)

Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank

CVPR 2023arXiv

191

citations

Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

CVPR 2024arXiv

141

citations

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

ECCV 2022arXiv

124

citations

C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

AAAI 2025arXiv

citations

Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach

AAAI 2025arXiv

citations

Test-Time Personalization with Meta Prompt for Gaze Estimation

AAAI 2024arXiv

citations

ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks

AAAI 2025arXiv

citations

SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection

AAAI 2024

citations

Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation

CVPR 2025arXiv

citations

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation

ICCV 2025arXiv

citations

Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection

CVPR 2024arXiv

citations

Towards Multi-Domain Single Image Dehazing via Test-Time Training

CVPR 2022

citations

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning

CVPR 2022

citations

Huan Liu

papers (16)

Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank

Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

Group Pose: A Simple Baseline for End-to-End Multi-Person Pose Estimation

Facial Affective Behavior Analysis with Instruction Tuning

Sterling: Synergistic Representation Learning on Bipartite Graphs

Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach

Test-Time Personalization with Meta Prompt for Gaze Estimation

ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks

SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection

Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation

Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection

Towards Multi-Domain Single Image Dehazing via Test-Time Training

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning

papers (16)

Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank

Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

Group Pose: A Simple Baseline for End-to-End Multi-Person Pose Estimation

Facial Affective Behavior Analysis with Instruction Tuning

Sterling: Synergistic Representation Learning on Bipartite Graphs

Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach

Test-Time Personalization with Meta Prompt for Gaze Estimation

ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks

SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection

Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation

Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection

Towards Multi-Domain Single Image Dehazing via Test-Time Training

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning