Kumar Ayush

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Convolutional Neural Network

Kernel Fisher Discriminant

Reinforcement Learning

Top Venues

Publications

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 (2024)
Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon
Efficient Conditional Pre-training for Transfer Learning. CVPR Workshops (2022)
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Geography-Aware Self-Supervised Learning. ICCV (2021)
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
Negative Data Augmentation. CoRR (2021)
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)
Avirup Mandal, Kumar Ayush, Parag Chaudhuri
Non-linear Monte Carlo Ray Tracing for Visualizing Warped Spacetime. VISIGRAPP (3: IVAPP) (2021)
Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Efficient Poverty Mapping from High Resolution Remote Sensing Images. AAAI (2021)
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
Negative Data Augmentation. ICLR (2021)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. CoRR (2020)
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)
Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon
Efficient Conditional Pre-training for Transfer Learning. CoRR (2020)
Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. CoRR (2020)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Efficient Poverty Mapping using Deep Reinforcement Learning. CoRR (2020)
Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy
Towards a Unified Framework for Visual Compatibility Prediction. WACV (2020)
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. IJCAI (2020)
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
Geography-Aware Self-Supervised Learning. CoRR (2020)
Kumar Ayush, Abhishek Sinha
Improving classification performance of support vector machines via guided custom kernel search. GECCO (Companion) (2019)
Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy
Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. CVPR Workshops (2019)
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)
Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy
Powering Virtual Try-On via Auxiliary Human Segmentation Learning. ICCV Workshops (2019)
Abhishek Sinha, Kumar Ayush
Towards Mathematical Reasoning: A Multimodal Deep Learning Approach. ICIP (2018)
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)
Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram
Enhanced Personalized Targeting Using Augmented Reality. ISMAR Adjunct (2017)
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)
Kumar Ayush, Parag Chaudhuri
Rendering curved spacetime in everyday scenes. SIGGRAPH Posters (2017)
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) (2017)
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)
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 (2016)
Srinivas S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations. CoRR (2015)