30 citations · 39 across the 12 of their papers we have counts for
12 papers
A statistical approach to bias in zero-shot learning: the lens of handwriting recognition
Clarence Chew, Gim Siang Chia, Sukalpa Chanda +2
Generalized zero-shot learning (GZSL) has emerged as an important paradigm for visual recognition systems that must generalize to classes that were not observed during training. Tr…
Static and Dynamic Synthesis of Bengali and Devanagari Signatures
Miguel A. Ferrer, Sukalpa Chanda, Moises Diaz +5
Developing an automatic signature verification system is challenging and demands a large number of training samples. This is why synthetic handwriting generation is an emerging top…
EZ-CLIP: Efficient Zeroshot Video Action Recognition
Shahzad Ahmad, Sukalpa Chanda, Yogesh S Rawat
Recent advancements in large-scale pre-training of visual-language models on paired image-text data have demonstrated impressive generalization capabilities for zero-shot tasks. Bu…
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…
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…
Semantic Text-to-Face GAN -ST^2FG
Manan Oza, Sukalpa Chanda, David Doermann
Faces generated using generative adversarial networks (GANs) have reached unprecedented realism. These faces, also known as "Deep Fakes", appear as realistic photographs with very…
PLSM: A Parallelized Liquid State Machine for Unintentional Action Detection
Dipayan Das, Saumik Bhattacharya, Umapada Pal +1
Reservoir Computing (RC) offers a viable option to deploy AI algorithms on low-end embedded system platforms. Liquid State Machine (LSM) is a bio-inspired RC model that mimics the…
Pho(SC)-CTC -- A Hybrid Approach Towards Zero-shot Word Image Recognition
Ravi Bhatt, Anuj Rai, Narayanan C. Krishnan +1
Annotating words in a historical document image archive for word image recognition purpose demands time and skilled human resource (like historians, paleographers). In a real-life…
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda +6
Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot efficiently segment objects of…