179 citations · 958 across the 53 of their papers we have counts for
11 papers · 1 filter
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
Abhishek Srivastava, Sukalpa Chanda, Debesh Jha +4
Medical image segmentation can provide detailed information for clinical analysis which can be useful for scenarios where the detailed location of a finding is important. Knowing t…
GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation
Abhishek Srivastava, Sukalpa Chanda, Debesh Jha +2
Colonoscopy is a gold standard procedure but is highly operator-dependent. Efforts have been made to automate the detection and segmentation of polyps, a precancerous precursor, to…
Exploiting Multi-Scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification
Abhishek Srivastava, Sukalpa Chanda, Umapada Pal
Text independent writer identification is a challenging problem that differentiates between different handwriting styles to decide the author of the handwritten text. Earlier write…
AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination
Abhishek Srivastava, Sukalpa Chanda, Umapada Pal
The performance of facial super-resolution methods relies on their ability to recover facial structures and salient features effectively. Even though the convolutional neural netwo…
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
Siladittya Manna, Umapada Pal, Saumik Bhattacharya
Self-supervised contrastive learning frameworks have progressed rapidly over the last few years. In this paper, we propose a novel loss function for contrastive learning. We model…
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya +2
Deep metric learning has been effectively used to learn distance metrics for different visual tasks like image retrieval, clustering, etc. In order to aid the training process, exi…