activity
20242026
most citedIterative Refinement Strategy for Automated Data Labeling: Facial Landmark Diagnosis in Medical Imaging

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Edge-Aware Thermal Infrared UAV Swarm Tracking

Yu-Hsi Chen

Thermal infrared (TIR) imaging is essential for UAV swarm operations in visually degraded environments. However, tracking tiny UAVs remains challenging due to limited appearance cu…

cs.CV2025

Strong Baseline: Multi-UAV Tracking via YOLOv12 with BoT-SORT-ReID

Yu-Hsi Chen

Detecting and tracking multiple unmanned aerial vehicles (UAVs) in thermal infrared video is inherently challenging due to low contrast, environmental noise, and small target sizes…

cs.CV2025

ReynoldsFlow: Physics-Inspired Spatiotemporal Flow Representation for Video Understanding

Yu-Hsi Chen, Ching-Kai Lin, PingKong Huang +1

Video understanding has largely relied on deep spatiotemporal architectures, including 3D convolutional networks and optical flow (OF) based models. While effective, these methods…

cs.CV2024

UAVDB: Point-Guided Masks for UAV Detection and Segmentation

Yu-Hsi Chen

Accurate detection of Unmanned Aerial Vehicles (UAVs) is critical for surveillance, security, and airspace monitoring. However, existing datasets remain limited in scale, resolutio…

cs.CV20242 cited

Iterative Refinement Strategy for Automated Data Labeling: Facial Landmark Diagnosis in Medical Imaging

Yu-Hsi Chen

Automated data labeling techniques are crucial for accelerating the development of deep learning models, particularly in complex medical imaging applications. However, ensuring acc…

cs.LG2024

Data Stream Sampling with Fuzzy Task Boundaries and Noisy Labels

Yu-Hsi Chen

In the realm of continual learning, the presence of noisy labels within data streams represents a notable obstacle to model reliability and fairness. We focus on the data stream sc…