Shristi Das Biswas

Orcid: 0000-0003-2275-3970

According to our database1, Shristi Das Biswas authored at least 12 papers between 2020 and 2026.

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

2026
MAGIC: Multimodal Alignment & Grounding-aware Instruction Coreset for Vision-Language Models.
CoRR, May, 2026

HEART: Hyperspherical Embedding Alignment via Kent-Representation Traversal in Diffusion Models.
CoRR, May, 2026

Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Learning Unified Spatio-temporal Representations for Efficient Compressed Video Understanding.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

ELLA: Efficient Lifelong Learning for Adapters in Large Language Models.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
Now You See It, Now You Don't - Instant Concept Erasure for Safe Text-to-Image and Video Generation.
CoRR, November, 2025

SlimDiff: Training-Free, Activation-Guided Hands-free Slimming of Diffusion Models.
CoRR, September, 2025

Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition.
CoRR, March, 2025

CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2020
A Brief Survey on Various Prediction Models for Detection of ADHD from Brain-MRI Images.
Proceedings of the ICDCN 2020: 21st International Conference on Distributed Computing and Networking, 2020


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