49 citations · 111 across the 28 of their papers we have counts for
5 papers · 1 filter
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation
Minsu Kim, Sunghun Joung, Seungryong Kim +3
Existing techniques to adapt semantic segmentation networks across the source and target domains within deep convolutional neural networks (CNNs) deal with all the samples from the…
Online Exemplar Fine-Tuning for Image-to-Image Translation
Taewon Kang, Soohyun Kim, Sunwoo Kim +1
Existing techniques to solve exemplar-based image-to-image translation within deep convolutional neural networks (CNNs) generally require a training phase to optimize the network p…
Adaptive confidence thresholding for monocular depth estimation
Hyesong Choi, Hunsang Lee, Sunkyung Kim +4
Self-supervised monocular depth estimation has become an appealing solution to the lack of ground truth labels, but its reconstruction loss often produces over-smoothed results acr…
Volumetric Transformer Networks
Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann
Existing techniques to encode spatial invariance within deep convolutional neural networks (CNNs) apply the same warping field to all the feature channels. This does not account fo…
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
Sunghun Joung, Seungryong Kim, Hanjae Kim +4
Existing techniques to encode spatial invariance within deep convolutional neural networks only model 2D transformation fields. This does not account for the fact that objects in a…