Papers
2
Total Citations
104
H-Index
2
About
Jianbo Ye is a leading researcher in computer vision and affective computing, with a focus on automated recognition of bodily expressions of emotion. His most cited work, "ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild" (2019, 97 citations), pioneered a framework for detecting emotional states from body language in uncontrolled, real-world settings—a significant advance beyond traditional facial expression analysis. This contribution has been foundational for human-computer interaction, robotics, and mental health monitoring. In his more recent work, Ye introduces "3DGS-CD: 3D Gaussian Splatting-Based Change Detection for Physical Object Rearrangement" (2025, 7 citations), the first method to leverage 3D Gaussian Splatting for detecting physical object rearrangements in 3D scenes. By comparing unaligned image sets from different times, his approach achieves robust, object-level change detection through novel view rendering and EfficientSA, opening new possibilities for scene understanding, surveillance, and augmented reality. Ye’s research bridges emotion recognition and 3D scene analysis, demonstrating versatility and innovation. His work continues to shape how machines perceive human expression and dynamic environments, with growing impact across multiple domains.
Research Focus
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Top Papers
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