activity
20212026
most citedOutfitTransformer: Learning Outfit Representations for Fashion Recommendation

7 citations · 8 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Grounded Human-Attributed Description and Activity Recognition in Videos

Jay N. Paranjape, Jurijs Nazarovs, Rohan Sarkar +5

Understanding characteristics and activities of individuals in complex multi-person environments is crucial for real-world applications. However, existing datasets often simplify t…

cs.CV2026

Identity-Conditioned Score Fusion for Open-Set Person Re-Identification

Manyi Yao, Jurijs Nazarovs, Eunji Chong +6

Robust person re-identification often combines complementary cues such as face, gait, and body shape. While adaptive fusion typically targets query quality, model strength also var…

cs.CV2024

A Dataset and Framework for Learning State-invariant Object Representations

Rohan Sarkar, Avinash Kak

We add one more invariance - the state invariance - to the more commonly used other invariances for learning object representations for recognition and retrieval. By state invarian…

cs.CV2024

Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval

Rohan Sarkar, Avinash Kak

In the context of pose-invariant object recognition and retrieval, we demonstrate that it is possible to achieve significant improvements in performance if both the category-based…

cs.CV2023★ 1 cited

Shape of You: Precise 3D shape estimations for diverse body types

Rohan Sarkar, Achal Dave, Gerard Medioni +1

This paper presents Shape of You (SoY), an approach to improve the accuracy of 3D body shape estimation for vision-based clothing recommendation systems. While existing methods hav…

cs.CV2022★ 7 cited

OutfitTransformer: Learning Outfit Representations for Fashion Recommendation

Rohan Sarkar, Navaneeth Bodla, Mariya I. Vasileva +4

Learning an effective outfit-level representation is critical for predicting the compatibility of items in an outfit, and retrieving complementary items for a partial outfit. We pr…

cs.SE2021

CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces

Rohan Sarkar, Avinash C. Kak

We present CheckSoft, a scalable event-driven software architecture for keeping track of people-object interactions in people-centric applications such as airport checkpoint securi…