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Mayug Maniparambil

Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts
2023 · Mayug Maniparambil, Chris Vorster, et al. · IEEE International Conference on Computer Vision Workshops · 60
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Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation
2024 · Sidra Aleem, Fangyijie Wang, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 50
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Phase retrieval for Fourier Ptychography under varying amount of measurements
2018 · Lokesh Boominathan, Mayug Maniparambil, et al. · arXiv (Cornell University) · 42
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BaseTransformers: Attention over base data-points for One Shot Learning
2022 · Maniparambil, Mayug, McGuinness, Kevin, et al. · arXiv (Cornell University) · 16
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Do Vision and Language Encoders Represent the World Similarly?
2024 · Mayug Maniparambil, Raiymbek Akshulakov, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 15
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The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data
2024 · Luuk H. Boulogne, Julian Lorenz, et al. · Medical Image Analysis · 7
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Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment
2025 · Mayug Maniparambil, Raiymbek Akshulakov, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 6
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An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans
2023 · Aleem, Sidra, Maniparambil, Mayug, et al. · arXiv (Cornell University) · 4
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TopoBench: Benchmarking LLMs on Hard Topological Reasoning
2026 · Maniparambil, Mayug, Hoehing, Nils, et al. · arXiv (Cornell University) · 3
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IITMSAT Communications System : A LeanSat Design Approach
2017 · Gulati, Akshay, Chavan, Shubham, et al. · arXiv (Cornell University) · 3
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Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation
2024 · Sirotkin, Kirill, Escudero-Viñolo, Marcos, et al. · arXiv (Cornell University) · 2
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When RL Suppresses Its Own Vocabulary: Recovering Reasoning Diversity in Puzzle-to-Math Transfer
2026 · Maniparambil, Mayug, Karuvally, Arjun, et al. · arXiv (Cornell University) · 1
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Large language model-assisted multi-objective optimization for an integrated multimodal e-mobility platform
2026 · Yue Ding, Mayug Maniparambil, et al. · Transportation Research Interdisciplinary Perspectives · 1
A Privileged Teacher That Only Scores Cannot Search: Critique-Conditioned On-Policy Self-Distillation for Reasoning
2026 · Maniparambil, Mayug, Rai, Ayush, et al. · arXiv (Cornell University)
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Self-configurable Information Bottleneck Attribution
2026 · Vayangi Ganepola, Oluwabukola G. Adegboro, et al. · Lecture notes in computer science
Beyond Training from Scratch: Foundation Models for Data-Efficient and Generalizable Cardiac MRI Reconstruction
2026 · Hashmi, Anam, Maniparambil, Mayug, et al. · arXiv (Cornell University)
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Hold-One-Shot-Out (HOSO) for Validation-Free Few-Shot CLIP Adapters
2026 · Chris Vorster, Mayug Maniparambil, et al.
Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?
2026 · Hashmi, Anam, Maniparambil, Mayug, et al. · arXiv (Cornell University)
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Comprehensive Evaluation of EEG Features for Microsleep Detection: Statistical Validation and Methodological Improvement
2026 · A.Mohamed, Maram, Redmond, Peter, et al. · Zenodo (CERN European Organization for Nuclear Research)
Attention-Based Temporal Resolution Enhancement for Microsleep Forecasting Across Multiple Horizons
2026 · A.Mohamed, Maram, Redmond, Peter, et al. · Zenodo (CERN European Organization for Nuclear Research)
Ensemble Learning with Sparse Hypercolumns
2026 · Dietlmeier, Julia, Ganepola, Vayangi Vishmi Vishara, et al. · Zenodo (CERN European Organization for Nuclear Research)
Ensemble Learning with Sparse Hypercolumns
2026 · Dietlmeier, Julia, Ganepola, Vayangi, et al. · arXiv (Cornell University)
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Hold-One-Shot-Out (HOSO) for Validation-Free Few-Shot CLIP Adapters
2026 · Vorster, Chris, Maniparambil, Mayug, et al. · arXiv (Cornell University)
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Underrepresented in Foundation Model Pretraining Data? A One-Shot Probe
2026 · Vorster, Chris, Maniparambil, Mayug, et al. · arXiv (Cornell University)
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Underrepresented in Foundation Model Pretraining Data? A One-Shot Probe
2025 · Chris Vorster, Mayug Maniparambil, et al. · IEEE AFRICON
Works count: 28
Citation count: 211
H-index: 6
I10-index: 5
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