Ayush Chopra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
10
Active years
2017–2022
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ECCV | Learning to Censor by Noisy Sampling. | Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar |
| 2022 | ECCV | Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. | Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar |
| 2022 | WACV | SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval. | Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy |
| 2021 | CVPR | DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. | Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar |
| 2021 | CVPR | Leveraging Style and Content Features for Text Conditioned Image Retrieval. | Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy |
| 2021 | ICCV | ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. | Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy |
| 2021 | WSC | DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. | Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley |
| 2020 | ICDM | MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. | Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy |
| 2020 | IJCAI | SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. | Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy |
| 2020 | KDD | Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. | Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian |
| 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 |
| 2018 | ICIP | Pose Aware Fine-Grained Visual Classification Using Pose Experts. | Kushagra Mahajan, Tarasha Khurana, Ayush Chopra, Isha Gupta, Chetan Arora, Atul Rai |
| 2017 | IJCCI | Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach. | Shubham Dokania, Ayush Chopra, Feroz Ahmad, Anil Singh Parihar |