activity
20212024
most citedEvaluating COPY-BLEND Augmentation for Low Level Vision Tasks

8 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20244 cited

RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour Detection

Thennarasi Balakrishnan, Sandeep Singh Sengar

Object detection algorithms particularly those based on YOLO have demonstrated remarkable efficiency in balancing speed and accuracy. However, their application in brain tumour det…

eess.IV20241 cited

BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp Segmentation

Owen Singh, Sandeep Singh Sengar

Colorectal cancer contributes significantly to cancer-related mortality. Timely identification and elimination of polyps through colonoscopy screening is crucial in order to decrea…

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…

eess.IV20221 cited

UNet Architectures in Multiplanar Volumetric Segmentation -- Validated on Three Knee MRI Cohorts

Sandeep Singh Sengara, Christopher Meulengrachtb, Mikael Ploug Boesenb +4

UNet has become the gold standard method for segmenting 2D medical images that any new method must be validated against. However, in recent years, several variations of the seminal…

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,…