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Adobe Media and Data Science Research (MDSR) Laboratory
Adobe Media and Data Science Research (MDSR) Laboratory
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HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
The integration of high-resolution image features in modern multimodal large language models has demonstrated significant improvements …
Nikitha SR, Aradhya Neeraj Mathur, Tarun Ram Menta, Rishabh Jain, Mausoom Sarkar
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HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
LLMs such as GPT-4 have shown a remarkable ability to solve complex questions by generating step-by-step rationales. Prior works have …
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy
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Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
EOPose: Exemplar-based object reposing using Generalized Pose Correspondences
Reposing generic objects without the use of 3D models poses a significant challenge due to the absence of a standardized pose …
Sarthak Mehrotra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy, Mausoom Sarkar
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EOPose: Exemplar-based object reposing using Generalized Pose Correspondences
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment
Numerous pose-guided human editing methods have been explored by the vision community due to their extensive practical applications. …
Sohan Patnaik, Rishabh Jain, Balaji Krishnamurthy, Mausoom Sarkar
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AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment
LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
Communication is defined as “Who says what to whom with what effect”. A message from a communicator generates downstream …
Somesh Singh, Harini SI, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
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LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
Measuring and Improving Persuasiveness of Large Language Models
LLMs are increasingly being used in workflows involving generating content to be consumed by humans (e.g., marketing) and also in …
Somesh Singh, Yaman Kumar Singla, Harini SI, Balaji Krishnamurthy
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Measuring and Improving Persuasiveness of Large Language Models
It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation
Very large language models (LLMs) such as GPT-4 have shown the ability to handle complex tasks by generating and self-refining …
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy
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It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation
Measuring And Improving Engagement of Text-to-Image Generation Models
Recent advances in text-to-image generation have achieved impressive aesthetic quality, making these models usable for both personal …
Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy
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Measuring And Improving Engagement of Text-to-Image Generation Models
AdQuestA: Knowledge-Guided Visual Question Answer Framework For Advertisements
In the rapidly evolving landscape of digital marketing, effective customer engagement through advertisements is crucial for brands. …
Neha Choudhary, Poonam Goyal, Devashish Siwatch, Atharva Chandak, Harsh Mahajan, Varun Khurana, Yaman Kumar Singla
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Long-Term Ad Memorability: Understanding & Generating Memorable Ads
Despite the importance of long-term memory in marketing and brand building, until now, there has been no large-scale study on the …
Harini SI, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy
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Long-Term Ad Memorability: Understanding & Generating Memorable Ads
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