Perception Visualization: Seeing Through the Eyes of a DNN

1 code implementation • 21 Apr 2022 • Loris Giulivi, Mark James Carman, Giacomo Boracchi

Results of our user study demonstrate that humans can better understand and predict the system's decisions when perception visualizations are available, thus easing the debugging and deployment of deep models as trusted systems.

What's wrong with this video? Comparing Explainers for Deepfake Detection

no code implementations • 12 May 2021 • Samuele Pino, Mark James Carman, Paolo Bestagini

Deepfakes are computer manipulated videos where the face of an individual has been replaced with that of another.

DeepFake Detection Face Swapping

That'll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models

no code implementations • LREC 2016 • Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman

As demonstrated by the quality of our coarse lexical resource and its benefit to MT, we believe that our sentential approach to create such a resource will help MT for resource-constrained languages.

Machine Translation Topic Models +1

Automatic Sarcasm Detection: A Survey

no code implementations • 10 Feb 2016 • Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman

Automatic sarcasm detection is the task of predicting sarcasm in text.

Sarcasm Detection Sentiment Analysis

Using Multilingual Topic Models for Improved Alignment in English-Hindi MT

no code implementations • WS 2015 • Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman

Machine Translation Topic Models +2