29 citations · 59 across the 7 of their papers we have counts for
9 papers
Learning Monocular Depth Estimation via Selective Distillation of Stereo Knowledge
Kyeongseob Song, Kuk-Jin Yoon
Monocular depth estimation has been extensively explored based on deep learning, yet its accuracy and generalization ability still lag far behind the stereo-based methods. To tackl…
Lightweight HDR Camera ISP for Robust Perception in Dynamic Illumination Conditions via Fourier Adversarial Networks
Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon +1
The limited dynamic range of commercial compact camera sensors results in an inaccurate representation of scenes with varying illumination conditions, adversely affecting image qua…
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang +5
Test-time adaptation approaches have recently emerged as a practical solution for handling domain shift without access to the source domain data. In this paper, we propose and expl…
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment
Pranjay Shyam, Antyanta Bangunharcana, Kuk-Jin Yoon +1
Semantic segmentation algorithms require access to well-annotated datasets captured under diverse illumination conditions to ensure consistent performance. However, poor visibility…
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks
Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon +1
Region modification-based data augmentation techniques have shown to improve performance for high level vision tasks (object detection, semantic segmentation, image classification,…
Towards Domain Invariant Single Image Dehazing
Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim
Presence of haze in images obscures underlying information, which is undesirable in applications requiring accurate environment information. To recover such an image, a dehazing al…