Search Results for author: Susmit Agrawal

Found 8 papers, 1 papers with code

ISLTranslate: Dataset for Translating Indian Sign Language

1 code implementation11 Jul 2023 Abhinav Joshi, Susmit Agrawal, Ashutosh Modi

To the best of our knowledge, it is the largest translation dataset for continuous Indian Sign Language.

Sentence Sign Language Translation +1

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs

no code implementations7 Aug 2022 Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu

The quality of the generated images is predicated on two assumptions; (a) The richness of the hierarchical representations learnt by the generator, and, (b) The linearity and smoothness of the style spaces.

Attribute

Segmentation Guided Deep HDR Deghosting

no code implementations4 Jul 2022 K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu

Our motion segmentation guided HDR fusion approach offers significant advantages over existing HDR deghosting methods.

Motion Segmentation Segmentation

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity

no code implementations6 Apr 2022 Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu

Existing works in self-supervised landmark detection are based on learning dense (pixel-level) feature representations from an image, which are further used to learn landmarks in a semi-supervised manner.

Self-Supervised Learning

Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting

no code implementations24 Dec 2021 K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu

In the SGM cell, the information flow through a gate is controlled by multiplying the gate's output by a function of itself.

Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting

no code implementations CVPR 2021 K. Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, Rama Krishna Sai S Gorthi

To derive data for the next stage of training, we propose a novel method for generating corresponding dynamic inputs from the predicted HDRs of unlabeled data.

Few-Shot Learning

Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access

no code implementations2 Jun 2021 Vishal Vinod, Susmit Agrawal, Vipul Gaurav, Pallavi R, Savita Choudhary

In rural regions of several developing countries, access to quality healthcare, medical infrastructure, and professional diagnosis is largely unavailable.

Information Retrieval named-entity-recognition +9

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