185 citations · 590 across the 29 of their papers we have counts for
7 papers · 1 filter
Summarizing First-Person Videos from Third Persons' Points of Views
Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang
Video highlight or summarization is among interesting topics in computer vision, which benefits a variety of applications like viewing, searching, or storage. However, most existin…
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh +1
In this paper, we propose a novel deep learning architecture for multi-label zero-shot learning (ML-ZSL), which is able to predict multiple unseen class labels for each input insta…
Learning Deep Latent Spaces for Multi-Label Classification
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko +1
Multi-label classification is a practical yet challenging task in machine learning related fields, since it requires the prediction of more than one label category for each input i…
Order-Free RNN with Visual Attention for Multi-Label Classification
Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh +1
In this paper, we propose the joint learning attention and recurrent neural network (RNN) models for multi-label classification. While approaches based on the use of either model e…
Generative-Discriminative Variational Model for Visual Recognition
Chih-Kuan Yeh, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang
The paradigm shift from shallow classifiers with hand-crafted features to end-to-end trainable deep learning models has shown significant improvements on supervised learning tasks.…
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu +3
While representation learning aims to derive interpretable features for describing visual data, representation disentanglement further results in such features so that particular i…