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For the Inventor, By the Inventor

Delhi, India

Ayush Chopra

USPTO Granted Patents = 13 

Average Co-Inventor Count = 4.7

ph-index = 2

Forward Citations = 10(Granted Patents)


Location History:

  • New Delhi, IN (2022)
  • Cambridge, MA (US) (2023)
  • Pitampura, IN (2021 - 2024)
  • Delhi, IN (2021 - 2024)

Company Filing History:

goldMedal13 out of 6,898 
 
Adobe, Inc.
 patents

Years Active: 2021-2024

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13 patents (USPTO):
1. 12136118 - Deep learning based visual compatibility prediction for bundle recommendations (2024-11-05),
2. 11972466 - Computer storage media, method, and system for exploring and recommending matching products across categories (2024-04-30),
3. 11907816 - Entropy based synthetic data generation for augmenting classification system training data (2024-02-20),
4. 11797823 - Model training with retrospective loss (2023-10-24),
5. 11734337 - Identifying digital attributes from multiple attribute groups utilizing a deep cognitive attribution neural network (2023-08-22),
6. 11720651 - Text-conditioned image search based on transformation, aggregation, and composition of visio-linguistic features (2023-08-08),
7. 11640634 - Deep learning based visual compatibility prediction for bundle recommendations (2023-05-02),
8. 11631029 - Generating combined feature embedding for minority class upsampling in training machine learning models with imbalanced samples (2023-04-18),
9. 11423264 - Entropy based synthetic data generation for augmenting classification system training data (2022-08-23),
10. 11386144 - Identifying digital attributes from multiple attribute groups within target digital images utilizing a deep cognitive attribution neural network (2022-07-12),
11. 11367271 - Similarity propagation for one-shot and few-shot image segmentation (2022-06-21),
12. 11080817 - Cloth warping using multi-scale patch adversarial loss (2021-08-03),
13. 11030782 - Accurately generating virtual try-on images utilizing a unified neural network framework (2021-06-08),

Title: Ayush Chopra: Innovator in Visual Compatibility Prediction

Introduction

Ayush Chopra is a prominent inventor based in Delhi, India, known for his contributions to the field of deep learning and visual compatibility prediction. With a total of 13 patents to his name, he has made significant strides in developing systems and methods that enhance product recommendations.

Latest Patents

One of Ayush's latest patents focuses on deep learning-based visual compatibility prediction for bundle recommendations. This innovation involves systems, methods, and computer storage media designed to predict visual compatibility between a bundle of catalog items and a candidate item to add to the bundle. The prediction process is conditioned on item type, context, and style, resulting in a unified visual compatibility score for each candidate item. The item with the highest score is selected to complete the bundle. Another notable patent involves a search system that explores and recommends matching products across categories. This system analyzes product image sets to determine primary and secondary products, storing associations in a search index to provide relevant search results based on user queries.

Career Highlights

Ayush Chopra is currently employed at Adobe, Inc., where he applies his expertise in deep learning and product recommendation systems. His work has significantly impacted how users interact with product catalogs, enhancing the shopping experience through intelligent recommendations.

Collaborations

Ayush collaborates with talented individuals such as Balaji Krishnamurthy and Mausoom Sarkar, contributing to innovative projects that push the boundaries of technology in product recommendations.

Conclusion

Ayush Chopra's innovative work in visual compatibility prediction and product recommendation systems showcases his dedication to advancing technology in the field. His contributions are shaping the future of how consumers discover and interact with products.

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