10 citations · 14 across the 12 of their papers we have counts for
15 papers
When, Where, and Why: Hierarchical Causal Explainability for Video Face Understanding with MLLMs
Anubhav Kataria, Shreya Ghosh, Jingwen Ye +1
Understanding facial behaviour in video requires answering three fundamental questions: when a key facial expression occurs, where the model attends on the face at that moment, and…
Explainable Deepfake Detection Challenge
Abhijeet Narang, Kartik Kuckreja, Shreya Ghosh +4
Deepfake detection is moving beyond binary classification decisions toward systems that can also explain the visual evidence supporting those decisions. This transition is importan…
XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection
Abhijeet Narang, Kartik Kuckreja, Shreya Ghosh +3
As deepfake detection models increasingly produce natural language explanations, their reasoning often remains weakly grounded in visual artifacts, limiting reliability and user tr…
CSGaze: Context-aware Social Gaze Prediction
Surbhi Madan, Shreya Ghosh, Ramanathan Subramanian +2
A person's gaze offers valuable insights into their focus of attention, level of social engagement, and confidence. In this work, we investigate how contextual cues combined with v…
AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations
Zhixi Cai, Kartik Kuckreja, Shreya Ghosh +5
The rapid surge of text-to-speech and face-voice reenactment models makes video fabrication easier and highly realistic. To encounter this problem, we require datasets that rich in…
Gems: Group Emotion Profiling Through Multimodal Situational Understanding
Anubhav Kataria, Surbhi Madan, Shreya Ghosh +2
Understanding individual, group and event level emotions along with contextual information is crucial for analyzing a multi-person social situation. To achieve this, we frame emoti…
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations
Parul Gupta, Shreya Ghosh, Tom Gedeon +2
The rapid advancement of GenAI technology over the past few years has significantly contributed towards highly realistic deepfake content generation. Despite ongoing efforts, the r…
Machine Learning to Detect Anxiety Disorders from Error-Related Negativity and EEG Signals
Ramya Chandrasekar, Md Rakibul Hasan, Shreya Ghosh +2
Anxiety is a common mental health condition characterised by excessive worry, fear and apprehension about everyday situations. Even with significant progress over the past few year…
MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing
Shreya Ghosh, Zhixi Cai, Abhinav Dhall +3
With the rapid advancements in multimodal generative technology, Affective Computing research has provoked discussion about the potential consequences of AI systems equipped with e…
1M-Deepfakes Detection Challenge
Zhixi Cai, Abhinav Dhall, Shreya Ghosh +4
The detection and localization of deepfake content, particularly when small fake segments are seamlessly mixed with real videos, remains a significant challenge in the field of dig…
MIP-GAF: A MLLM-annotated Benchmark for Most Important Person Localization and Group Context Understanding
Surbhi Madan, Shreya Ghosh, Lownish Rai Sookha +4
Estimating the Most Important Person (MIP) in any social event setup is a challenging problem mainly due to contextual complexity and scarcity of labeled data. Moreover, the causal…
7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition
Dimitrios Kollias, Stefanos Zafeiriou, Irene Kotsia +4
This paper describes the 7th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with ECCV 2024. The 7th ABAW C…
FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time
Md Jobayer, Md. Mehedi Hasan Shawon, Md Zakir Hossain +4
Heart murmurs are abnormal sounds caused by turbulent blood flow in the heart. Several diagnostic methods are available to detect heart murmurs and their severity, including cardia…
AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset
Zhixi Cai, Shreya Ghosh, Aman Pankaj Adatia +4
The detection and localization of highly realistic deepfake audio-visual content are challenging even for the most advanced state-of-the-art methods. While most of the research eff…
Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods
Md Rakibul Hasan, Md Zakir Hossain, Shreya Ghosh +2
Empathy indicates an individual's ability to understand others. Over the past few years, empathy has drawn attention from various disciplines, including but not limited to Affectiv…