2 citations · 3 across the 7 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CV2021
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon, Somi Jeong, Sunok Kim +1
We address the problem of few-shot semantic segmentation (FSS), which aims to segment novel class objects in a target image with a few annotated samples. Though recent advances hav…
cs.CV2021
Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation
Jiyoung Lee, Soo-Whan Chung, Sunok Kim +2
In this paper, we address the problem of separating individual speech signals from videos using audio-visual neural processing. Most conventional approaches utilize frame-wise matc…
cs.CV2021★ 1 cited
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
Matteo Poggi, Seungryong Kim, Fabio Tosi +5
Stereo matching is one of the most popular techniques to estimate dense depth maps by finding the disparity between matching pixels on two, synchronized and rectified images. Along…