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Kumar Ayush
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2020 – today
- 2024
- [i9]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) - 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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last updated on 2024-07-27 17:33 CEST by the dblp team
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