Susmit Agrawal

According to our database1, Susmit Agrawal authored at least 13 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Analyzing Memorization in Large Language Models through the Lens of Model Attribution.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Rel-SA: Alzheimer's Disease Detection using Relevance-augmented Self Attention by Inducing Domain Priors in Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2023
ISLTranslate: Dataset for Translating Indian Sign Language.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Segmentation Guided Deep HDR Deghosting.
CoRR, 2022

SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization.
CoRR, 2022

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting.
IEEE Trans. Computational Imaging, 2021

Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access.
CoRR, 2021

Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN.
Proceedings of the Computer Vision - ECCV 2020, 2020


  Loading...