activity
20202022
most citedEvaluating COPY-BLEND Augmentation for Low Level Vision Tasks

8 citations · 24 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20228 cited

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…

cs.CV20222 cited

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…

cs.CV2021

Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

Antyanta Bangunharcana, Jae Won Cho, Seokju Lee +3

Volumetric deep learning approach towards stereo matching aggregates a cost volume computed from input left and right images using 3D convolutions. Recent works showed that utiliza…

cs.CV20218 cited

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,…

cs.CV20216 cited

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…

cs.CV2020

Retaining Image Feature Matching Performance Under Low Light Conditions

Pranjay Shyam, Antyanta Bangunharcana, Kyung-Soo Kim

Poor image quality in low light images may result in a reduced number of feature matching between images. In this paper, we investigate the performance of feature extraction algori…