Mayug Maniparambil

21 papers A* 2A 2Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ensemble Learning with Sparse Hypercolumns.
CoRR
Julia Dietlmeier, Vayangi Ganepola, Oluwabukola G. Adegboro, Mayug Maniparambil, Claudia Mazo, Noel E. O'Connor
2026 J jnl
Hold-One-Shot-Out (HOSO) for Validation-Free Few-Shot CLIP Adapters.
CoRR
Chris Vorster, Mayug Maniparambil, Noel E. O'Connor, Noel Murphy, Derek Molloy
2026 J jnl
TopoBench: Benchmarking LLMs on Hard Topological Reasoning.
CoRR
Mayug Maniparambil, Nils Hoehing, Janak Kapuriya, Arjun Karuvally, Ellen Rushe, Anthony Ventresque, Noel E. O'Connor, Fergal Reid
2026 J jnl
Underrepresented in Foundation Model Pretraining Data? A One-Shot Probe.
CoRR
Chris Vorster, Mayug Maniparambil, Noel E. O'Connor, Noel Murphy, Derek Molloy
2025 A* conf
Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment.
CVPR
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Noel E. O'Connor
2025 J jnl
Understanding Space Is Rocket Science - Only Top Reasoning Models Can Solve Spatial Understanding Tasks.
CoRR
Nils Hoehing, Mayug Maniparambil, Ellen Rushe, Noel E. O'Connor, Anthony Ventresque
2024 A* conf
Do Vision and Language Encoders Represent the World Similarly?
CVPR
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Mohamed El Amine Seddik, Sanath Narayan, Karttikeya Mangalam, Noel E. O'Connor
2024 J jnl
Do Vision and Language Encoders Represent the World Similarly?
CoRR
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Mohamed El Amine Seddik, Karttikeya Mangalam, Noel E. O'Connor
2024 J jnl
From Unimodal to Multimodal: Scaling up Projectors to Align Modalities.
CoRR
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Noel E. O'Connor
2024 J jnl
Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation.
CoRR
Kirill Sirotkin, Marcos Escudero-Viñolo, Pablo Carballeira, Mayug Maniparambil, Catarina Barata, Noel E. O'Connor
2024 J jnl
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation.
CoRR
Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Guénolé C. M. Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
2024 — conf
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation.
CVPR Workshops
Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
2024 J jnl
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.
Medical Image Anal.
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
2023 J jnl
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans.
CoRR
Sidra Aleem, Mayug Maniparambil, Suzanne Little, Noel E. O'Connor, Kevin McGuinness
2023 — conf
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts.
ICCV (Workshops)
Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor
2023 J jnl
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts.
CoRR
Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor
2023 J jnl
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.
CoRR
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 Dubois
2022 A conf
BaseTransformers: Attention over base data-points for One Shot Learning.
BMVC
Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor
2022 J jnl
BaseTransformers: Attention over base data-points for One Shot Learning.
CoRR
Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor
2018 A conf
Phase retrieval for Fourier Ptychography under varying amount of measurements.
BMVC
Lokesh Boominathan, Mayug Maniparambil, Honey Gupta, Rahul Baburajan, Kaushik Mitra
2018 J jnl
Phase retrieval for Fourier Ptychography under varying amount of measurements.
CoRR
Lokesh Boominathan, Mayug Maniparambil, Honey Gupta, Rahul Baburajan, Kaushik Mitra