Search Results - "Maniparambil, Mayug"

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data by Boulogne, Luuk H., Lorenz, Julian, Kienzle, Daniel, Schön, Robin, Ludwig, Katja, Lienhart, Rainer, Jégou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Müller, Dominik, Mertes, Silvan, Schröter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matías Nicolás, Berenguer, Abel Díaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A., Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Revel, Marie-Pierre

“…Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of…”
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Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts by Maniparambil, Mayug, Vorster, Chris, Molloy, Derek, Murphy, Noel, McGuinness, Kevin, O'Connor, Noel E.

“…Contrastive pretrained large Vision-Language Models (VLMs) like CLIP have revolutionized visual representation learning by providing good performance on…”
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BaseTransformers: Attention over base data-points for One Shot Learning by Maniparambil, Mayug, McGuinness, Kevin, O'Connor, Noel

“…Few shot classification aims to learn to recognize novel categories using only limited samples per category. Most current few shot methods use a base dataset…”
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An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans by Aleem, Sidra, Maniparambil, Mayug, Little, Suzanne, O'Connor, Noel, McGuinness, Kevin

“…Chest X-rays have been widely used for COVID-19 screening; however, 3D computed tomography (CT) is a more effective modality. We present our findings on…”
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From Unimodal to Multimodal: Scaling up Projectors to Align Modalities by Maniparambil, Mayug, Akshulakov, Raiymbek, Djilali, Yasser Abdelaziz Dahou, Narayan, Sanath, Singh, Ankit, O'Connor, Noel E

“…Recent contrastive multimodal vision-language models like CLIP have demonstrated robust open-world semantic understanding, becoming the standard image…”
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Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation by Aleem, Sidra, Wang, Fangyijie, Maniparambil, Mayug, Arazo, Eric, Dietlmeier, Julia, Curran, Kathleen, O'Connor, Noel E., Little, Suzanne

“…The Segment Anything Model (SAM) and CLIP are remarkable vision foundation models (VFMs). SAM, a prompt-driven segmentation model, excels in segmentation tasks…”
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Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts by Maniparambil, Mayug, Vorster, Chris, Molloy, Derek, Murphy, Noel, McGuinness, Kevin, O'Connor, Noel E

“…Contrastive pretrained large Vision-Language Models (VLMs) like CLIP have revolutionized visual representation learning by providing good performance on…”
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Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation by Aleem, Sidra, Wang, Fangyijie, Maniparambil, Mayug, Arazo, Eric, Dietlmeier, Julia, Silvestre, Guenole, Curran, Kathleen, O'Connor, Noel E, Little, Suzanne

“…The Segment Anything Model (SAM) and CLIP are remarkable vision foundation models (VFMs). SAM, a prompt driven segmentation model, excels in segmentation tasks…”
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Do Vision and Language Encoders Represent the World Similarly? by Maniparambil, Mayug, Akshulakov, Raiymbek, Djilali, Yasser Abdelaziz Dahou, Narayan, Sanath, Seddik, Mohamed El Amine, Mangalam, Karttikeya, O'Connor, Noel E

“…Aligned text-image encoders such as CLIP have become the de facto model for vision-language tasks. Furthermore, modality-specific encoders achieve impressive…”
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Do Vision and Language Encoders Represent the World Similarly? by Maniparambil, Mayug, Akshulakov, Raiymbek, Dahou Djilali, Yasser Abdelaziz, Seddik, Mohamed EI Amine, Narayan, Sanath, Mangalam, Karttikeya, O'Connor, Noel E.

“…Aligned text-image encoders such as CLIP have become the de-facto model for vision-language tasks. Further-more, modality-specific encoders achieve impressive…”
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Phase retrieval for Fourier Ptychography under varying amount of measurements by Boominathan, Lokesh, Maniparambil, Mayug, Gupta, Honey, Baburajan, Rahul, Mitra, Kaushik

“…Fourier Ptychography is a recently proposed imaging technique that yields high-resolution images by computationally transcending the diffraction blur of an…”
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The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data by Boulogne, Luuk H, Lorenz, Julian, Kienzle, Daniel, Schon, Robin, Ludwig, Katja, Lienhart, Rainer, Jegou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Muller, Dominik, Mertes, Silvan, Schroter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matias Nicolas, Berenguer, Abel Diaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A, Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Dubois, Marie-Pierre Revel

“…Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of…”
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IITMSAT Communications System : A LeanSat Design Approach by Gulati, Akshay, Chavan, Shubham, Samuel, Joseph, Srinivasan, Sampoornam, Shekhar, Pradeep, Dave, Akshat, Sant, Aditya, Bhadane, Sourbh, Maniparambil, Mayug, Sivasankarakurup, Vishnu Prasad, Durairaj, Dhanalakshmi, Koilpillai, David, Ramachandran, Harishankar

“…IITMSAT is a student-built nano satellite mission of Indian Institute of Technology Madras, Chennai, India. The objective is to study the precipitation of high…”
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