Alberto Del Bimbo
Papers
5
Total Citations
49
H-Index
4
About
Alberto Del Bimbo is a leading figure in computer vision, with his research spanning human-computer interaction, autonomous driving, and action understanding. His pioneering work in gaze-based interaction, notably the 1997 paper "Interacting through eyes," laid foundational concepts for how machines can interpret human intent through visual attention. Del Bimbo made significant theoretical contributions to motion analysis, as demonstrated in his 1999 paper on estimating time to collision from image motion, which provided generalized bounds for unconstrained rigid motion—a critical advance for autonomous vehicle safety. His impact is further evidenced by recent work on joint-based action progress prediction (2023), which addresses the underexplored challenge of characterizing action evolution rather than mere recognition. Del Bimbo also bridges research with practical applications through frameworks like I-MALL, which enhances customer experience in retail environments using behavior analysis. With over 19 citations on his seminal gaze paper and continued influence through contemporary publications, Del Bimbo's career reflects a sustained commitment to advancing both theoretical foundations and real-world implementations of visual intelligence systems.
Research Focus
Key Achievements
Top Papers
- 1Interacting through eyes19 citations · 1997
- 2Generalized bounds for time to collision from first-order image motion15 citations · 1999
- 3Joint-Based Action Progress Prediction7 citations · 2023
- 4
- 5Dynamic neural estimation for autonomous vehicles driving4 citations · 2003