Search Results for author: Dwip Dalal

Found 6 papers, 1 papers with code

SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection

no code implementations1 Dec 2023 Anku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amit Sheth, Amitava Das

This research explores the problem of deception through the lens of psychology, employing a framework that categorizes deception into three forms: lies of omission, lies of commission, and lies of influence.

Deception Detection Multi-Task Learning

Learning Robust Deep Visual Representations from EEG Brain Recordings

1 code implementation25 Oct 2023 Prajwal Singh, Dwip Dalal, Gautam Vashishtha, Krishna Miyapuram, Shanmuganathan Raman

Reconstruction of visual images from brain Electroencephalography (EEG) signals has garnered a lot of interest due to its applications in brain-computer interfacing.

Contrastive Learning EEG +3

Single Image LDR to HDR Conversion using Conditional Diffusion

no code implementations6 Jul 2023 Dwip Dalal, Gautam Vashishtha, Prajwal Singh, Shanmuganathan Raman

Digital imaging aims to replicate realistic scenes, but Low Dynamic Range (LDR) cameras cannot represent the wide dynamic range of real scenes, resulting in under-/overexposed images.

Denoising Translation

FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering

no code implementations22 May 2023 Megha Chakraborty, Khushbu Pahwa, Anku Rani, Shreyas Chatterjee, Dwip Dalal, Harshit Dave, Ritvik G, Preethi Gurumurthy, Adarsh Mahor, Samahriti Mukherjee, Aditya Pakala, Ishan Paul, Janvita Reddy, Arghya Sarkar, Kinjal Sensharma, Aman Chadha, Amit P. Sheth, Amitava Das

To address this gap, we introduce FACTIFY 3M, a dataset of 3 million samples that pushes the boundaries of the domain of fact verification via a multimodal fake news dataset, in addition to offering explainability through the concept of 5W question-answering.

Fact Verification Question Answering

FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering

no code implementations7 May 2023 Anku Rani, S. M Towhidul Islam Tonmoy, Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit Sheth, Amitava Das

Finally, we report a baseline QA system to automatically locate those answers from evidence documents, which can serve as a baseline for future research in the field.

Fact Checking Fact Verification +3

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