5 citations · 6 across the 2 of their papers we have counts for
6 papers
Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks
Tzu-Ling Lin, Wei-Chih Chen, Teng-Fang Hsiao +7
Peer review is essential for maintaining academic quality, but the increasing volume of submissions places a significant burden on reviewers. Large language models (LLMs) offer pot…
A DeNoising FPN With Transformer R-CNN for Tiny Object Detection
Hou-I Liu, Yu-Wen Tseng, Kai-Cheng Chang +3
Despite notable advancements in the field of computer vision, the precise detection of tiny objects continues to pose a significant challenge, largely owing to the minuscule pixel…
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu, Marco Galindo, Hongxia Xie +4
Over the past decade, the dominance of deep learning has prevailed across various domains of artificial intelligence, including natural language processing, computer vision, and bi…
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection
Hou-I Liu, Christine Wu, Jen-Hao Cheng +8
Monocular 3D object detection (Mono3D) holds noteworthy promise for autonomous driving applications owing to the cost-effectiveness and rich visual context of monocular camera sens…
DQ-DETR: DETR with Dynamic Query for Tiny Object Detection
Yi-Xin Huang, Hou-I Liu, Hong-Han Shuai +1
Despite previous DETR-like methods having performed successfully in generic object detection, tiny object detection is still a challenging task for them since the positional inform…
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar
Jen-Hao Cheng, Sheng-Yao Kuan, Hugo Latapie +2
Robust perception is a vital component for ensuring safe autonomous and assisted driving. Automotive radar (77 to 81 GHz), which offers weather-resilient sensing, provides a comple…