Dhall, Abhinav

Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

Dhall, A., Goecke, R., Lucey, S., & Gedeon, T. (2011) · 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 541

Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

Dhall, A., Ramana Murthy, O. V., Goecke, R., Joshi, J., & Gedeon, T. (2015) · Proceedings of the 2015 ACM on International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 305

Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

Chugh, K., Gupta, P., Dhall, A., & Subramanian, R. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 225

From individual to group-level emotion recognition: EmotiW 5.0

Dhall, A., Goecke, R., Ghosh, S., Joshi, J., Hoey, J., & Gedeon, T. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 218

Emotion recognition in the wild challenge 2013

Dhall, A., Goecke, R., Joshi, J., Wagner, M., & Gedeon, T. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 178

Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization

Cai, Z., Stefanov, K., Dhall, A., & Hayat, M. (2022) · 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 99

The more the merrier: Analysing the affect of a group of people in images

Dhall, A., Joshi, J., Sikka, K., Goecke, R., & Sebe, N. (2015) · 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)

Emotion and Mood RecognitionImage Retrieval and Classification Techniques

Cited by 93

Glitch in the matrix: A large scale benchmark for content driven audio–visual forgery detection and localization

Cai, Z., Ghosh, S., Dhall, A., Gedeon, T., Stefanov, K., & Hayat, M. (2023) · Computer Vision and Image Understanding

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 63

AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Cai, Z., Ghosh, S., Adatia, A. P., Hayat, M., Dhall, A., Gedeon, T., & Stefanov, K. (2023) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 59

AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

Cai, Z., Ghosh, S., Adatia, A. P., Hayat, M., Dhall, A., Gedeon, T., & Stefanov, K. (2024) · Proceedings of the 32nd ACM International Conference on Multimedia

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 59

Exploring Neurophysiological Responses to Cross-Cultural Deepfake Videos

Khan, M. R., Naeem, S., Tariq, U., Dhall, A., Khan, M. N. A., Al Shargie, F., & Al-Nashash, H. (2023) · International Cconference on Multimodal Interaction

Digital Media Forensic DetectionDeception detection and forensic psychology

Cited by 10

AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations

Cai, Z., Kuckreja, K., Ghosh, S., Chuchra, A., Khan, M. H., Tariq, U., Gedeon, T., & Dhall, A. (2025) · Proceedings of the 33rd ACM International Conference on Multimedia

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 4

LayLens: Improving Deepfake Understanding through Simplified Explanations

Narang, A., Gupta, P., Su, L., & Dhall, A. (2025) · Proceedings of the 27th International Conference on Multimodal Interaction

Explainable Artificial Intelligence (XAI)Digital Media Forensic Detection

Cited by 1