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20232026
most citedSynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation

2 citations · 5 across the 11 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

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

MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion

Onkar Susladkar, Jishu Sen Gupta, Chirag Sehgal +2

The spatio-temporal complexity of video data presents significant challenges in tasks such as compression, generation, and inpainting. We present four key contributions to address…

eess.SP2024

Hybrid Quantum Neural Network based Indoor User Localization using Cloud Quantum Computing

Sparsh Mittal, Yash Chand, Neel Kanth Kundu

This paper proposes a hybrid quantum neural network (HQNN) for indoor user localization using received signal strength indicator (RSSI) values. We use publicly available RSSI datas…

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…

eess.IV2024★ 2 cited

Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation

Vandan Gorade, Sparsh Mittal, Debesh Jha +2

Deep learning has demonstrated remarkable achievements in medical image segmentation. However, prevailing deep learning models struggle with poor generalization due to (i) intra-cl…