23 citations · 66 across the 15 of their papers we have counts for
17 papers
Density-Matrix Reinforcement Learning
Chiuman Ho
What information does a reinforcement learning policy omit? At each state, a standard policy stores one probability per action. It has no place to record how actions relate to each…
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
Xinmiao Lin, Yikang Li, Jenhao Hsiao +2
The popular VQ-VAE models reconstruct images through learning a discrete codebook but suffer from a significant issue in the rapid quality degradation of image reconstruction as th…
VideoXum: Cross-modal Visual and Textural Summarization of Videos
Jingyang Lin, Hang Hua, Ming Chen +4
Video summarization aims to distill the most important information from a source video to produce either an abridged clip or a textual narrative. Traditionally, different methods h…
ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation
Daitao Xing, Jinglin Shen, Chiuman Ho +1
The exploration of mutual-benefit cross-domains has shown great potential toward accurate self-supervised depth estimation. In this work, we revisit feature fusion between depth an…
A Masked Bounding-Box Selection Based ResNet Predictor for Text Rotation Prediction
Michael Yang, Yuan Lin, ChiuMan Ho
The existing Optical Character Recognition (OCR) systems are capable of recognizing images with horizontal texts. However, when the rotation of the texts increases, it becomes hard…
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features
Shichao Xu, Yikang Li, Jenhao Hsiao +2
In computer vision, multi-label recognition are important tasks with many real-world applications, but classifying previously unseen labels remains a significant challenge. In this…