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Jiahuan Zhou

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, 11:22 PM AMS

27

papers

287

total citations

papers (27)

Uncertainty-Aware Score Distribution Learning for Action Quality Assessment

Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification

FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval

DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification

Selective Visual Prompting in Vision Mamba

STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding

DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes

CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning

SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting

Componential Prompt-Knowledge Alignment for Domain Incremental Learning

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model

Make Lossy Compression Meaningful for Low-Light Images

Token Coordinated Prompt Attention is Needed for Visual Prompting

Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification

State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding

NEURIPS 2025arXiv

Incremental Object Keypoint Learning

DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation

Continual Vision-Language Retrieval via Dynamic Knowledge Rectification

LSTKC: Long Short

Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification

Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification

Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning

DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification

UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis

High-dimension Prototype is a Better Incremental Object Detection Learner

SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation

FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning