VADER: Video Alignment Differencing and Retrieval

no code implementations • ICCV 2023 • Alexander Black, Simon Jenni, Tu Bui, Md. Mehrab Tanjim, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminathan, John Collomosse

We propose VADER, a spatio-temporal matching, alignment, and change summarization method to help fight misinformation spread via manipulated videos.

Misinformation Retrieval +2

Generating Rationales in Visual Question Answering

no code implementations • 4 Apr 2020 • Hammad A. Ayyubi, Md. Mehrab Tanjim, Julian J. McAuley, Garrison W. Cottrell

Despite recent advances in Visual QuestionAnswering (VQA), it remains a challenge todetermine how much success can be attributedto sound reasoning and comprehension ability. We seek to investigate this question by propos-ing a new task ofrationale generation.

Question Answering Visual Question Answering

Enforcing Reasoning in Visual Commonsense Reasoning

no code implementations • 21 Oct 2019 • Hammad A. Ayyubi, Md. Mehrab Tanjim, David J. Kriegman

The task of Visual Commonsense Reasoning is extremely challenging in the sense that the model has to not only be able to answer a question given an image, but also be able to learn to reason.

Question Answering Visual Commonsense Reasoning +1