185 citations · 590 across the 29 of their papers we have counts for
7 papers · 1 filter
Semantics-Guided Representation Learning with Applications to Visual Synthesis
Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang +2
Learning interpretable and interpolatable latent representations has been an emerging research direction, allowing researchers to understand and utilize the derived latent space fo…
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning
Ci-Siang Lin, Yuan-Chia Cheng, Yu-Chiang Frank Wang
Aiming at recognizing images of the same person across distinct camera views, person re-identification (re-ID) has been among active research topics in computer vision. Most existi…
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification
Chih-Ting Liu, Yu-Jhe Li, Shao-Yi Chien +1
Person re-identification (re-ID) requires one to match images of the same person across camera views. As a more challenging task, semi-supervised re-ID tackles the problem that onl…
Learning to Learn in a Semi-Supervised Fashion
Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang
To address semi-supervised learning from both labeled and unlabeled data, we present a novel meta-learning scheme. We particularly consider that labeled and unlabeled data share di…
Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining
Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang
Single image deraining is a crucial problem because rain severely degenerates the visibility of images and affects the performance of computer vision tasks like outdoor surveillanc…
Transforming Multi-Concept Attention into Video Summarization
Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang
Video summarization is among challenging tasks in computer vision, which aims at identifying highlight frames or shots over a lengthy video input. In this paper, we propose an nove…