51 citations · 338 across the 55 of their papers we have counts for
5 papers · 1 filter
Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
Chien Cheng Chyou, Hung-Ting Su, Winston H. Hsu
Adversarial robustness poses a critical challenge in the deployment of deep learning models for real-world applications. Traditional approaches to adversarial training and supervis…
MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models
Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang +2
SUPERB was proposed to evaluate the generalizability of self-supervised learning (SSL) speech models across various tasks. However, it incurs high computational costs due to the la…
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering
Hung-Ting Su, Yulei Niu, Xudong Lin +2
Causal Video Question Answering (CVidQA) queries not only association or temporal relations but also causal relations in a video. Existing question synthesis methods pre-trained qu…
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
Yi-Syuan Liou, Tsung-Han Wu, Jia-Fong Yeh +2
Obtaining large-scale labeled object detection dataset can be costly and time-consuming, as it involves annotating images with bounding boxes and class labels. Thus, some specializ…
BIRD-PCC: Bi-directional Range Image-based Deep LiDAR Point Cloud Compression
Chia-Sheng Liu, Jia-Fong Yeh, Hao Hsu +3
The large amount of data collected by LiDAR sensors brings the issue of LiDAR point cloud compression (PCC). Previous works on LiDAR PCC have used range image representations and f…