Kumar Ayush

According to our database, Kumar Ayush authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scaling Wearable Foundation Models.

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

CoRR, 2024

Transforming Wearable Data into Health Insights using Large Language Model Agents.

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

CoRR, 2024

2022

Efficient Conditional Pre-training for Transfer Learning.

Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Non-linear Monte Carlo Ray Tracing for Visualizing Warped Spacetime.

Avirup Mandal, Kumar Ayush, Parag Chaudhuri

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Negative Data Augmentation.

Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon

Proceedings of the 9th International Conference on Learning Representations, 2021

Geography-Aware Self-Supervised Learning.

Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Forecasting Vaccination Drive In India for Herd Immunity using SIR and Prophet Model.

Narayana Darapaneni, Shyamal Dhua, Nikita Khare, Kumar Ayush, Karthikeyan N, Supriya Ghodke, Abhishek Rajput, Saswat P. Beurik, Anwesh Reddy Paduri

Proceedings of the IEEE World AI IoT Congress, 2021

Efficient Poverty Mapping from High Resolution Remote Sensing Images.

Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient Poverty Mapping using Deep Reinforcement Learning.

Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon

CoRR, 2020

Towards a Unified Framework for Visual Compatibility Prediction.

Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On.

Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Generating Interpretable Poverty Maps using Object Detection in Satellite Images.

Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Powering Virtual Try-On via Auxiliary Human Segmentation Learning.

Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework.

Kumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Improving classification performance of support vector machines via guided custom kernel search.

Kumar Ayush, Abhishek Sinha

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Powering Robust Fashion Retrieval With Information Rich Feature Embeddings.

Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Towards Mathematical Reasoning: A Multimodal Deep Learning Approach.

Abhishek Sinha, Kumar Ayush

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations.

Srinivas S. S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu

IEEE Trans. Image Process., 2017

Rendering curved spacetime in everyday scenes.

Kumar Ayush, Parag Chaudhuri

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2017

Supporting Throughput Fairness in IEEE 802.11ac Dynamic Bandwidth Channel Access: A Hybrid Approach.

Kumar Ayush, Raja Karmakar, Varun Rawal, Pradyumna Kumar Bishoyi, Samiran Chattopadhyay, Sandip Chakraborty

Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017

Enhanced Personalized Targeting Using Augmented Reality.

Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

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.

Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

OCR++: A Robust Framework For Information Extraction from Scholarly Articles.

Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee

Proceedings of the COLING 2016, 2016