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20022026
most citedTwo-Dimensional Material Nanophotonics

3k citations

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197 papers · 1 filter

cs.CV20256 cited

DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization

Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu +6

The limited availability of annotated data in medical imaging makes semi-supervised learning increasingly appealing for its ability to learn from imperfect supervision. Recently, t…

cs.CV20252 cited

MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation

Aviral Chharia, Wenbo Gou, Haoye Dong

While significant progress has been made in single-view 3D human pose estimation, multi-view 3D human pose estimation remains challenging, particularly in terms of generalizing to…

cs.CV20252 cited

Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition

Anqi Xiao, Weichen Yu, Hongyuan Yu

Automatic data augmentation (AutoDA) plays an important role in enhancing the generalization of neural networks. However, mainstream AutoDA methods often encounter two challenges:…

cs.CV20253 cited

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform

Jun Liu, Zhenglun Kong, Pu Zhao +9

Autonomous driving platforms encounter diverse driving scenarios, each with varying hardware resources and precision requirements. Given the computational limitations of embedded d…

cs.CV2025

POET: Prompt Offset Tuning for Continual Human Action Adaptation

Prachi Garg, Joseph K J, Vineeth N Balasubramanian +6

As extended reality (XR) is redefining how users interact with computing devices, research in human action recognition is gaining prominence. Typically, models deployed on immersiv…

cs.CV202517 cited

GelBelt: A Vision-based Tactile Sensor for Continuous Sensing of Large Surfaces

Mohammad Amin Mirzaee, Hung-Jui Huang, Wenzhen Yuan

Scanning large-scale surfaces is widely demanded in surface reconstruction applications and detecting defects in industries' quality control and maintenance stages. Traditional vis…