Mayug Maniparambil

According to our database, Mayug Maniparambil authored at least 18 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When RL Suppresses Its Own Vocabulary: Recovering Reasoning Diversity in Puzzle-to-Math Transfer.

Mayug Maniparambil, Arjun Karuvally, Terrence J. Sejnowski, Fergal Reid

CoRR, May, 2026

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?

Anam Hashmi, Mayug Maniparambil, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor

CoRR, April, 2026

TopoBench: Benchmarking LLMs on Hard Topological Reasoning.

Mayug Maniparambil, Nils Hoehing, Janak Kapuriya, Arjun Karuvally, Ellen Rushe, Anthony Ventresque, Noel E. O'Connor, Fergal Reid

CoRR, March, 2026

Ensemble Learning with Sparse Hypercolumns.

Julia Dietlmeier, Vayangi Ganepola, Oluwabukola G. Adegboro, Mayug Maniparambil, Claudia Mazo, Noel E. O'Connor

CoRR, March, 2026

Underrepresented in Foundation Model Pretraining Data? A One-Shot Probe.

Chris Vorster, Mayug Maniparambil, Noel E. O'Connor, Noel Murphy, Derek Molloy

CoRR, March, 2026

Hold-One-Shot-Out (HOSO) for Validation-Free Few-Shot CLIP Adapters.

Chris Vorster, Mayug Maniparambil, Noel E. O'Connor, Noel Murphy, Derek Molloy

CoRR, March, 2026

2025

Understanding Space Is Rocket Science - Only Top Reasoning Models Can Solve Spatial Understanding Tasks.

Nils Hoehing, Mayug Maniparambil, Ellen Rushe, Noel E. O'Connor, Anthony Ventresque

CoRR, September, 2025

Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment.

Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Noel E. O'Connor

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel

Medical Image Anal., 2024

Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation.

Kirill Sirotkin, Marcos Escudero-Viñolo, Pablo Carballeira, Mayug Maniparambil, Catarina Barata, Noel E. O'Connor

CoRR, 2024

From Unimodal to Multimodal: Scaling up Projectors to Align Modalities.

Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Noel E. O'Connor

CoRR, 2024

Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation.

Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Guénolé C. M. Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little

CoRR, 2024

Do Vision and Language Encoders Represent the World Similarly?

Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Mohamed El Amine Seddik, Sanath Narayan, Karttikeya Mangalam, Noel E. O'Connor

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation.

Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans.

Sidra Aleem, Mayug Maniparambil, Suzanne Little, Noel E. O'Connor, Kevin McGuinness

CoRR, 2023

Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts.

Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

BaseTransformers: Attention over base data-points for One Shot Learning.

Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2018

Phase retrieval for Fourier Ptychography under varying amount of measurements.

Lokesh Boominathan, Mayug Maniparambil, Honey Gupta, Rahul Baburajan, Kaushik Mitra

Proceedings of the British Machine Vision Conference 2018, 2018