Search Results for author: Pranjay Shyam

Found 6 papers, 0 papers with code

Lightweight HDR Camera ISP for Robust Perception in Dynamic Illumination Conditions via Fourier Adversarial Networks

no code implementations4 Apr 2022 Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, Kyung-Soo Kim

The limited dynamic range of commercial compact camera sensors results in an inaccurate representation of scenes with varying illumination conditions, adversely affecting image quality and subsequently limiting the performance of underlying image processing algorithms.

Image Enhancement object-detection +2

DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment

no code implementations26 Feb 2022 Pranjay Shyam, Antyanta Bangunharcana, Kuk-Jin Yoon, Kyung-Soo Kim

This framework allows us to achieve a domain generalized semantic segmentation algorithm with consistent performance without prior information of the target domain while relying on a single source.

Domain Generalization Segmentation +1

GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation

no code implementations CVPR 2022 Pranjay Shyam, Kyung-Soo Kim, Kuk-Jin Yoon

Visual degradations caused by motion blur, raindrop, rain, snow, illumination, and fog deteriorate image quality and, subsequently, the performance of perception algorithms deployed in outdoor conditions.

Deblurring feature selection +3

Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks

no code implementations10 Mar 2021 Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, Kyung-Soo Kim

However, as these techniques destroy spatial relationship with neighboring regions, performance can be deteriorated when using them to train algorithms designed for low level vision tasks (low light image enhancement, image dehazing, deblurring, etc.)

Data Augmentation Deblurring +7

Towards Domain Invariant Single Image Dehazing

no code implementations9 Jan 2021 Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim

However owing to fixed receptive field of convolutional kernels and non uniform haze distribution, assuring consistency between regions is difficult.

Data Augmentation Image Dehazing +1

Retaining Image Feature Matching Performance Under Low Light Conditions

no code implementations2 Sep 2020 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.

Low-Light Image Enhancement

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