Search Results for author: Sukalpa Chanda

Found 11 papers, 5 papers with code

AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination

no code implementations20 Nov 2021 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.

Face Hallucination Super-Resolution

Exploiting Multi-Scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification

1 code implementation20 Nov 2021 Abhishek Srivastava, Sukalpa Chanda, Umapada Pal

Our methods are based on the hypothesis that handwritten text images have specific spatial regions which are more unique to a writer's style, multi-scale features propagate characteristic features with respect to individual writers and patch-based features give more general and robust representations that helps to discriminate handwriting from different writers.

PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation

no code implementations20 Nov 2021 Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Dag Johansen, Umapada Pal

We develop progressive alternating attention dense (PAAD) blocks, which construct a guiding attention map (GAM) after every convolutional layer in the dense blocks using features from all scales.

Decision Making Medical Image Segmentation

GradML: A Gradient-based Loss for Deep Metric Learning

no code implementations NeurIPS Workshop ICBINB 2021 Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda

Deep metric learning (ML) uses a carefully designed loss function to learn distance metrics for improving the discriminatory ability for tasks like clustering and retrieval.

Metric Learning

LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning

1 code implementation ICCV 2021 Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda

Deep metric learning has been effectively used to learn distance metrics for different visual tasks like image retrieval, clustering, etc.

Image Retrieval Metric Learning

Semantic Text-to-Face GAN -ST^2FG

no code implementations22 Jul 2021 Manan Oza, Sukalpa Chanda, David Doermann

Our approach is capable of generating images that are very accurately aligned to the exhaustive textual descriptions of faces with many fine detail features of the face and helps in generating better images.

Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents

1 code implementation31 May 2021 Anuj Rai, Narayanan C. Krishnan, Sukalpa Chanda

Later, the two representations are combined and experiments were conducted to examine the effectiveness of an embedding that has properties of both PHOS and PHOC.

Zero-Shot Learning

PLSM: A Parallelized Liquid State Machine for Unintentional Action Detection

1 code implementation6 May 2021 Dipayan Das, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda

Reservoir Computing (RC) offers a viable option to deploy AI algorithms on low-end embedded system platforms.

Action Detection

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