Kumar Ayush
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
13
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Substance over Style: Evaluating Proactive Conversational Coaching Agents. | Vidya Srinivas, Xuhai Xu, Xin Liu, Kumar Ayush, Isaac R. Galatzer-Levy, Shwetak N. Patel, Daniel McDuff, Tim Althoff |
| 2025 | ICLR | Scaling Wearable Foundation Models. | Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob E. Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff |
| 2022 | CVPR | Efficient Conditional Pre-training for Transfer Learning. | Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon |
| 2021 | AAAI | Efficient Poverty Mapping from High Resolution Remote Sensing Images. | Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2021 | ICCV | Geography-Aware Self-Supervised Learning. | Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2021 | ICLR | Negative Data Augmentation. | Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon |
| 2020 | IJCAI | Generating Interpretable Poverty Maps using Object Detection in Satellite Images. | Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2020 | WACV | SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. | Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy |
| 2020 | WACV | Towards a Unified Framework for Visual Compatibility Prediction. | Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy |
| 2019 | CVPR | Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. | Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy |
| 2019 | GECCO | Improving classification performance of support vector machines via guided custom kernel search. | Kumar Ayush, Abhishek Sinha |
| 2018 | ICIP | Towards Mathematical Reasoning: A Multimodal Deep Learning Approach. | Abhishek Sinha, Kumar Ayush |
| 2017 | CVPR | 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 |
| 2017 | ISMAR | Enhanced Personalized Targeting Using Augmented Reality. | Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram |
| 2017 | LCN | 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 |
| 2017 | SIGGRAPH | Rendering curved spacetime in everyday scenes. | Kumar Ayush, Parag Chaudhuri |
| 2016 | COLING | 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 |