At the forefront of change

At Fynd Research, our team constantly works to shape a better tomorrow by finding innovative answers to today’s problems. Learn about how our team is creating impact across industries

Research Areas

Product recommendations
Developer productivity
XR, VR, AR
Supply chain optimization
Media transformation and generation
Predictive commerce
Semantic search
Generative AI

Lab Publications

Salient Image Matting

Salient Image Matting

Rahul Deora, Rishab Sharma, Dinesh Samuel Sathia Raj

Cornell University · Mar 21, 2021

AlphaNet: An Attention Guided Deep Network for Automatic Image Matting

AlphaNet: An Attention Guided Deep Network for Automatic Image Matting

Rishab Sharma, Rahul Deora, Anirudha Vishvakarma

Cornel University · Mar 7, 2020

MILDNet: A Lightweight Single Scaled Deep Ranking Architecture

MILDNet: A Lightweight Single Scaled Deep Ranking Architecture

Anirudha Vishvakarma

Cornell University · Mar 3, 2019

Retrieving Similar E-Commerce Images Using Deep Learning

Retrieving Similar E-Commerce Images Using Deep Learning

Anirudha Vishvakarma, Rishab Sharma

Cornell University · Jan 11, 2019

Our Projects

AR try-on platform

AR try-on platform

AI shopping chatbot

AI shopping chatbot

Fine-tuned Llama V2 models to power a shopping assistant for users to discover products and shop

AI background removal

AI background removal

Advanced image background remover using detection and matting models

Bought together recommendation

Bought together recommendation

ML pipeline that leverages historical purchase data and generative AI to identify products frequently bought together

Image upscaling

Image upscaling

Upscale images by 2x or 4x using AI while enhancing its detail and quality

Complete the look recommendation

Complete the look recommendation

ML pipeline that analyses catalog data to offer complimentary recommendations for shoppers

Named entity recognition (Delivery optimization suite)

Named entity recognition (Delivery optimization suite)

Extract entities from addresses using Conditional Random Fields

Similar product recommendation

Similar product recommendation

ML pipeline that ingests and analyses catalog data to create highly accurate similar product recommendations for shoppers

Up-sell & cross-sell recommendations

Up-sell & cross-sell recommendations

ML pipeline that analyses catalog data to offer similar and complimentary product recommendations

Trending products recommendation

Trending products recommendation

ML pipeline that assigns each product a ‘popularity score’ based on a pre-programmed algorithm

Be a part of Fynd Research

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