11 citations · 34 across the 20 of their papers we have counts for
4 papers · 1 filter
A simple model for detection of rare sound events
Weiran Wang, Chieh-chi Kao, Chao Wang
We propose a simple recurrent model for detecting rare sound events, when the time boundaries of events are available for training. Our model optimizes the combination of an uttera…
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection
Chieh-Chi Kao, Weiran Wang, Ming Sun +1
This paper proposes a Region-based Convolutional Recurrent Neural Network (R-CRNN) for audio event detection (AED). The proposed network is inspired by Faster-RCNN, a well known re…
Patch-Based Image Hallucination for Super Resolution with Detail Reconstruction from Similar Sample Images
Chieh-Chi Kao, Yuxiang Wang, Jonathan Waltman +1
Image hallucination and super-resolution have been studied for decades, and many approaches have been proposed to upsample low-resolution images using information from the images t…
Localization-Aware Active Learning for Object Detection
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen +1
Active learning - a class of algorithms that iteratively searches for the most informative samples to include in a training dataset - has been shown to be effective at annotating d…