Cristina Palmero

Barcelona Supercomputing Center, Universitat de Barcelona

Papers

Total Citations

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About

Cristina Palmero is a leading researcher in the field of human motion generation and social behavior forecasting, with a focus on creating realistic, interactive digital humans. Her work sits at the intersection of computer vision, graphics, and human-robot interaction, addressing the challenge of generating complex, long-duration human motions and interactions. In her highly-cited 2024 paper, "Seamless Human Motion Composition with Blended Positional Encodings" (26 citations), she pioneered a method to overcome the limitations of short, isolated motion clips, enabling the generation of continuous, context-aware movements for applications in virtual reality and gaming. Palmero further advanced the field with "in2IN: Leveraging Individual Information to Generate Human Interactions" (9 citations), which tackles the difficult problem of generating realistic, text-guided interactions between two people, a critical capability for animation and the metaverse. Her comprehensive survey, "Didn't see that coming: a survey on non-verbal social human behavior forecasting" (2022), provides a foundational framework for predicting non-verbal cues in social settings, directly informing the development of socially-aware robots. Through these contributions, Palmero is shaping the future of how virtual and robotic agents move and interact with humans.