Search Results for author:
Found 9 papers, 3 papers with code
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset
In this research, we emulate the real-world scenario of deepfake generation and spreading, and propose the DF-Platter dataset, which contains (i) both low-resolution and high-resolution deepfakes generated using multiple generation techniques and (ii) single-subject and multiple-subject deepfakes, with face images of Indian ethnicity.
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators
Parkinson's disease is marked by altered and increased firing characteristics of pathological oscillations in the brain.
A Seven-Layer Model for Standardising AI Fairness Assessment
Problem statement: Standardisation of AI fairness rules and benchmarks is challenging because AI fairness and other ethical requirements depend on multiple factors such as context, use case, type of the AI system, and so on.
DeePhy: On Deepfake Phylogeny
In order to enable the research community to address these questions, this paper proposes DeePhy, a novel Deepfake Phylogeny dataset which consists of 5040 deepfake videos generated using three different generation techniques.
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems
Decisions made by various Artificial Intelligence (AI) systems greatly influence our day-to-day lives.
Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts
The proposed emotion-shift component is modular and can be added to any existing multimodal ERC model (with a few modifications).
DeepBLE: Generalizing RSSI-based Localization Across Different Devices
Accurate smartphone localization (< 1-meter error) for indoor navigation using only RSSI received from a set of BLE beacons remains a challenging problem, due to the inherent noise of RSSI measurements.
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text
Sentiment Analysis of code-mixed text has diversified applications in opinion mining ranging from tagging user reviews to identifying social or political sentiments of a sub-population.
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approaches treat the tasks in a supervised manner.
