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20182022
most citedHarnessing the Vulnerability of Latent Layers in Adversarially Trained Models

23 citations · 53 across the 18 of their papers we have counts for

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13 papers · 1 filter

cs.CV2022

Distilling the Undistillable: Learning from a Nasty Teacher

Surgan Jandial, Yash Khasbage, Arghya Pal +2

The inadvertent stealing of private/sensitive information using Knowledge Distillation (KD) has been getting significant attention recently and has guided subsequent defense effort…

cs.CV2022

One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text

Abhinav Java, Shripad Deshmukh, Milan Aggarwal +3

Active consumption of digital documents has yielded scope for research in various applications, including search. Traditionally, searching within a document has been cast as a text…

cs.CV20225 cited

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models

Vedant Singh, Surgan Jandial, Ayush Chopra +3

Conditional image generation has paved the way for several breakthroughs in image editing, generating stock photos and 3-D object generation. This continues to be a significant are…

cs.CV2021

ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors

Ayush Chopra, Rishabh Jain, Mayur Hemani +1

Image-based virtual try-on involves synthesizing perceptually convincing images of a model wearing a particular garment and has garnered significant research interest due to its im…

cs.CV2021

Multi-Modal Association based Grouping for Form Structure Extraction

Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta +1

Document structure extraction has been a widely researched area for decades. Recent work in this direction has been deep learning-based, mostly focusing on extracting structure usi…

cs.CV2020

Data InStance Prior (DISP) in Generative Adversarial Networks

Puneet Mangla, Nupur Kumari, Mayank Singh +2

Recent advances in generative adversarial networks (GANs) have shown remarkable progress in generating high-quality images. However, this gain in performance depends on the availab…