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Home/Authors/Hehe Fan

Hehe Fan

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:32 PM AMS

20

papers

238

total citations

papers (20)

Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition

Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly

STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition

MMAD: Multi-label Micro-Action Detection in Videos

Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos

Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos

BVINet: Unlocking Blind Video Inpainting with Zero Annotations

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space

Clustering for Protein Representation Learning

InfiniDreamer: Arbitrarily Long Human Motion Generation via Segment Score Distillation

DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding

Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling

Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion

Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration

ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning

Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction

PointListNet: Deep Learning on 3D Point Lists

Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels

Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos

Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning