activity
20182026
most citedACLNet: An Attention and Clustering-based Cloud Segmentation Network

16 citations · 17 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching

Onkar Susladkar, Tushar Prakash, Gayatri Deshmukh +8

We propose UniDFlow, a unified discrete flow-matching framework for multimodal understanding, generation, and editing. It decouples understanding and generation via task-specific l…

cs.CV2025

ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis

Onkar Susladkar, Gayatri Deshmukh, Yalcin Tur +2

Synthesizing medical images remains challenging due to limited annotated pathological data, modality domain gaps, and the complexity of representing diffuse pathologies such as liv…

cs.CV2024★ 1 cited

Dressing the Imagination: A Dataset for AI-Powered Translation of Text into Fashion Outfits and A Novel NeRA Adapter for Enhanced Feature Adaptation

Gayatri Deshmukh, Somsubhra De, Chirag Sehgal +2

Specialized datasets that capture the fashion industry's rich language and styling elements can boost progress in AI-driven fashion design. We present FLORA, (Fashion Language Outf…

cs.CV2024

D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods

Onkar Susladkar, Gayatri Deshmukh, Sparsh Mittal +1

In image processing, one of the most challenging tasks is to render an image's semantic meaning using a variety of artistic approaches. Existing techniques for arbitrary style tran…

cs.CV2022

TPFNet: A Novel Text In-painting Transformer for Text Removal

Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh +3

Text erasure from an image is helpful for various tasks such as image editing and privacy preservation. In this paper, we present TPFNet, a novel one-stage (end-toend) network for…

cs.CV2022★ 16 cited

ACLNet: An Attention and Clustering-based Cloud Segmentation Network

Dhruv Makwana, Subhrajit Nag, Onkar Susladkar +4

We propose a novel deep learning model named ACLNet, for cloud segmentation from ground images. ACLNet uses both deep neural network and machine learning (ML) algorithm to extract…

physics.ins-det2018

A magneto-optical trap created by the 2nd-order external cavity diode lasers

Jianing Han, Lindsay Hutcherson, Gayatri Deshmukh +5

In this article, we report on a magneto-optical trap (MOT) created by the 2nd-order external cavity diode lasers (ECDLs). The lasers were characterized. We have observed the non-co…