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2020 – today
- 2024
[i10]Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu:
Transforming Wearable Data into Health Insights using Large Language Model Agents. CoRR abs/2406.06464 (2024)- [i9]Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff:
Scaling Wearable Foundation Models. CoRR abs/2410.13638 (2024) - 2022
- [c19]Shuvam Chakraborty, Burak Uzkent, Kumar Ayush
, Kumar Tanmay, Evan Sheehan, Stefano Ermon:
Efficient Conditional Pre-training for Transfer Learning. CVPR Workshops 2022: 4240-4249 - 2021
- [c18]Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping from High Resolution Remote Sensing Images. AAAI 2021: 12-20 - [c17]Narayana Darapaneni, Shyamal Dhua, Nikita Khare, Kumar Ayush, Karthikeyan N, Supriya Ghodke, Abhishek Rajput, Saswat P. Beurik, Anwesh Reddy Paduri:
Forecasting Vaccination Drive In India for Herd Immunity using SIR and Prophet Model. AIIoT 2021: 21-27 - [c16]Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Geography-Aware Self-Supervised Learning. ICCV 2021: 10161-10170 - [c15]Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon:
Negative Data Augmentation. ICLR 2021 - [c14]Avirup Mandal, Kumar Ayush, Parag Chaudhuri:
Non-linear Monte Carlo Ray Tracing for Visualizing Warped Spacetime. VISIGRAPP (3: IVAPP) 2021: 76-87 - [i8]Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon:
Negative Data Augmentation. CoRR abs/2102.05113 (2021) - 2020
- [c13]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. IJCAI 2020: 4410-4416 - [c12]Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy:
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. WACV 2020: 2171-2179 - [c11]Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy:
Towards a Unified Framework for Visual Compatibility Prediction. WACV 2020: 3596-3605 - [i7]Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy:
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. CoRR abs/2001.06265 (2020) - [i6]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. CoRR abs/2002.01612 (2020) - [i5]Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping using Deep Reinforcement Learning. CoRR abs/2006.04224 (2020) - [i4]Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Geography-Aware Self-Supervised Learning. CoRR abs/2011.09980 (2020) - [i3]Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon:
Efficient Conditional Pre-training for Transfer Learning. CoRR abs/2011.10231 (2020)
2010 – 2019
- 2019
- [c10]Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy:
Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. CVPR Workshops 2019: 326-334 - [c9]Kumar Ayush, Abhishek Sinha:
Improving classification performance of support vector machines via guided custom kernel search. GECCO (Companion) 2019: 159-160 - [c8]Kumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy:
Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework. ICCV Workshops 2019: 1279-1281 - [c7]Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy:
Powering Virtual Try-On via Auxiliary Human Segmentation Learning. ICCV Workshops 2019: 3193-3196 - 2018
- [c6]Abhishek Sinha, Kumar Ayush:
Towards Mathematical Reasoning: A Multimodal Deep Learning Approach. ICIP 2018: 4028-4032 - 2017
- [j1]Srinivas S. S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu:
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations. IEEE Trans. Image Process. 26(9): 4446-4456 (2017) - [c5]Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra:
Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case. CVPR Workshops 2017: 794-800 - [c4]Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram:
Enhanced Personalized Targeting Using Augmented Reality. ISMAR Adjunct 2017: 69-74 - [c3]Kumar Ayush, Raja Karmakar, Varun Rawal, Pradyumna Kumar Bishoyi, Samiran Chattopadhyay, Sandip Chakraborty:
Supporting Throughput Fairness in IEEE 802.11ac Dynamic Bandwidth Channel Access: A Hybrid Approach. LCN 2017: 462-470 - [c2]Kumar Ayush, Parag Chaudhuri:
Rendering curved spacetime in everyday scenes. SIGGRAPH Posters 2017: 47:1-47:2 - 2016
- [c1]Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee:
OCR++: A Robust Framework For Information Extraction from Scholarly Articles. COLING 2016: 3390-3400 - [i2]Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee:
OCR++: A Robust Framework For Information Extraction from Scholarly Articles. CoRR abs/1609.06423 (2016) - 2015
- [i1]Srinivas S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu:
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations. CoRR abs/1510.02927 (2015)
Coauthor Index
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