4 citations · 5 across the 3 of their papers we have counts for
4 papers
PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification
Minsu Kim, Seungryong Kim, JungIn Park +2
Modern data augmentation using a mixture-based technique can regularize the models from overfitting to the training data in various computer vision applications, but a proper data…
Learning Canonical 3D Object Representation for Fine-Grained Recognition
Sunghun Joung, Seungryong Kim, Minsu Kim +2
We propose a novel framework for fine-grained object recognition that learns to recover object variation in 3D space from a single image, trained on an image collection without usi…
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…
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…