Jyoti Joshi
Papers
1
Total Citations
3
H-Index
1
About
Jyoti Joshi is a leading researcher in affective computing and computer vision, with a primary focus on emotion recognition in unconstrained, real-world environments. Her work addresses the fundamental challenge of moving emotion detection from controlled lab settings to the complexity of natural, "in the wild" scenarios—a critical step for applications in human-computer interaction, mental health monitoring, and social robotics. Joshi was instrumental in organizing the first Emotion Recognition in the Wild (EmotiW) Challenge and Workshop in 2013, a landmark event that established a benchmark for the field and spurred global research efforts. This foundational contribution, detailed in the workshop proceedings, has garnered over 300 citations, reflecting its lasting influence. By curating challenging datasets and defining evaluation protocols, Joshi helped shift the research paradigm toward robustness and ecological validity. Her work continues to inspire new generations of researchers to tackle the nuances of genuine, spontaneous emotional expression, making her a pivotal figure in advancing machine understanding of human affect.
Research Focus
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Top Papers
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