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Adobe Media and Data Science Research (MDSR) Laboratory
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One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text
Active consumption of digital documents has yielded scope for research in various applications, including search. Traditionally, …
Abhinav Java, Shripad Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy
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Persuasion Strategies in Advertisements
Modeling what makes an advertisement persuasive, i.e., eliciting the desired response from consumer, is critical to the study of …
Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen
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VGFlow: Visibility guided flow network for human reposing
The task of human reposing involves generating a realistic image of a person standing in an arbitrary conceivable pose. There are …
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy
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What do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure
Transformer models across multiple domains such as natural language processing and speech form an unavoidable part of the tech stack of …
Yaman Kumar Singla, Jui Shah, Rajiv Ratn Shah, Changyou Chen
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Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems
We propose a theoretical framework for approximate planning and learning in partially observed systems. Our framework is based on the …
Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan
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Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and …
Manraj Grover, Pakhi Bamdev, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah
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CoSe-Co: Text Conditioned Generative CommonSense Contextualizer
Pre-trained Language Models (PTLMs) have been shown to perform well on natural language tasks. Many prior works have leveraged …
Rachit Bansal, Jivat Meet Kaur, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy
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CyCLIP: Cyclic Contrastive Language-Image Pretraining
Recent advances in contrastive representation learning over paired image-text data have led to models such as CLIP that achieve …
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover
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Data Instance Prior for Transfer Learning in GANs
Recent advances in generative adversarial networks (GANs) have shown remarkable progress in generating high-quality images. However, …
Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy
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DynamicTOC: Persona-based Table of Contents for Consumption of Long Documents
Long documents like contracts, financial documents, etc., are often tedious to read through. Linearly consuming (via scrolling or …
Himanshu Maheshwari, Nethraa Sivakumar, Shelly Jain, Tanvi Karandikar, Vinay Aggarwal, Navita Goyal, Sumit Shekhar
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DynamicTOC: Persona-based Table of Contents for Consumption of Long Documents
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