C. Mario Christoudias

Massachusetts Institute of Technology, International Computer Science Institute

Papers

Total Citations

106

H-Index

About

C. Mario Christoudias is a researcher whose work bridges computer vision, human-computer interaction, and multimodal learning. His key research areas include gaze analysis in conversational discourse, object recognition across unseen modalities, and embodied interaction. Christoudias made significant contributions by developing methods to recognize gaze aversion gestures in embodied conversational discourse, a foundational study that has garnered 81 citations and advanced understanding of how eye gaze cues can be used to animate realistic avatars and improve human-computer interaction. His work on learning to recognize objects from unseen modalities (25 citations) further demonstrates his impact, addressing the challenge of cross-modal recognition where training and test data come from different sensory domains. This research has implications for robust vision systems that can generalize beyond limited training conditions. Christoudias’s notable achievements include pioneering techniques that integrate social cues into computational models, enhancing the naturalness of embodied agents. His contributions continue to influence researchers in affective computing, multimodal perception, and interactive systems, making him a notable figure in the field.