17 citations · 66 across the 17 of their papers we have counts for
7 papers · 1 filter
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen +3
Despite recent progress in Multiple Object Tracking (MOT), several obstacles such as occlusions, similar objects, and complex scenes remain an open challenge. Meanwhile, a systemat…
Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network
Yi-Kuan Hsieh, Jun-Wei Hsieh, Yu-Chee Tseng +2
We develop a Synthetic Fusion Pyramid Network (SPF-Net) with a scale-aware loss function design for accurate crowd counting. Existing crowd-counting methods assume that the trainin…
Mitigating Data Absence in Federated Learning Using Privacy-Controllable Data Digests
Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen
The absence of training data and their distribution changes in federated learning (FL) can significantly undermine model performance, especially in cross-silo scenarios. To address…
Class-Specific Channel Attention for Few-Shot Learning
Ying-Yu Chen, Jun-Wei Hsieh, Ming-Ching Chang
Few-Shot Learning (FSL) has attracted growing attention in computer vision due to its capability in model training without the need for excessive data. FSL is challenging because t…
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces
Hui Guo, Shu Hu, Xin Wang +2
AI-synthesized faces are visually challenging to discern from real ones. They have been used as profile images for fake social media accounts, which leads to high negative social i…
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
Shu Hu, Chun-Hao Liu, Jayanta Dutta +3
Semi-supervised object detection methods are widely used in autonomous driving systems, where only a fraction of objects are labeled. To propagate information from the labeled obje…