Luciano Silva
Papers
2
Total Citations
23
H-Index
2
About
Luciano Silva is a leading researcher in computer vision and assistive technology, with a focus on using visual computing to enhance accessibility and human-robot interaction. His work bridges the gap between 3D geometric understanding and real-world applications for people with motor disabilities. In a landmark 2021 systematic mapping study (14 citations), Silva comprehensively analyzed how computer vision can improve communication and social inclusion for individuals with motor impairments, establishing a foundational framework for future assistive systems. He also pioneered novel approaches to 3D surface orientation with his 2020 work on self-supervised Spherical CNNs (9 citations), introducing a learning-based method that outperforms traditional handcrafted geometric algorithms—a significant contribution to robotics and 3D scene understanding. Silva’s research is characterized by its dual impact: advancing fundamental computer vision techniques while directly addressing societal challenges. His work has been recognized for its innovation in applying deep learning to geometric problems, and he continues to shape the field through interdisciplinary collaborations that merge technical rigor with human-centered design.
Research Focus
Key Achievements
Top Papers
- 1
- 2Learning to Orient Surfaces by Self-supervised Spherical CNNs9 citations · 2020