Adobe Media and Data Science Research (MDSR) Laboratory
Adobe Media and Data Science Research (MDSR) Laboratory
News
Publications
People
Join us!
Collaborators
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
Neural networks are vulnerable to adversarial attacks – small visually imperceptible crafted noise which when added to the input …
Mayank Singh
,
Abhishek Sinha
,
Nupur Kumari
,
Harshitha Machiraju
,
Balaji Krishnamurthy
,
Vineeth N Balasubramanian
PDF
Hush-Hush Speak: Speech Reconstruction Using Silent Videos
Speech Reconstruction is the task of recreation of speech using silent videos as input. In the literature, it is also referred to as …
Shashwat Uttam
,
Yaman Kumar Singla
,
Dhruva Sharawat
,
Mansi Aggarwal
,
Debanjan Mahata
,
Rajiv Ratn Shah
,
Amanda Stent
PDF
Lipper: Synthesizing Thy Speech using Multi-View Lipreading
Lipreading has a lot of potential applications such as in the domain of surveillance and video conferencing. Despite this, most of the …
Yaman Kumar Singla
,
Rohit Jain
,
Khwaja Mohd. Salik
,
Rajiv Ratn Shah
,
Yifang Yin
,
Roger Zimmerman
PDF
OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation
We present OpticalGAN, an extension of quantum generative adversarial networks for continuous-variable quantum computation. OpticalGAN …
Nilay Shrivastava
,
Nikaash Puri
,
Piyush Gupta
,
Balaji Krishnamurthy
,
Sukriti Verma
PDF
Powering Robust Fashion Retrieval with Information Rich Feature Embeddings
Visual content based product retrieval has become increasingly important for e-commerce. Fashion retrieval, in particular, is a …
Ayush Chopra
,
Abhishek Sinha
,
Mausoom Sarkar
,
Hiresh Gupta
,
Kumar Ayush
,
Balaji Krishnamurthy
PDF
Harnessing AI for speech reconstruction using multiview silent video feed
Speechreading or lipreading is the technique of understanding and getting phonetic features from a speaker’s visual features such …
Yaman Kumar Singla
,
Mayank Aggarwal
,
Pratham Nawal
,
Shin'ichi Satoh
,
Rajiv Ratn Shah
,
Roger Zimmerman
PDF
«
Cite
×