Fabien Baradel
Papers
1
Total Citations
8
H-Index
1
About
Fabien Baradel is a leading researcher in computer vision, specializing in 3D reconstruction, human-object interaction, and video understanding. His work bridges the gap between robust perception and real-world applications, with a particular focus on reconstructing dynamic scenes involving hands and objects from monocular RGB video. Baradel’s major contribution, the SHOWMe framework, introduces an object-agnostic approach to hand-object 3D reconstruction, enabling accurate modeling without prior knowledge of the manipulated object—a critical advance for augmented reality, robotics, and human-computer interaction. This work, published in 2024, has already garnered 8 citations, signaling its rapid impact on the field. Beyond this, Baradel has contributed to video representation learning and action recognition, often leveraging temporal and spatial cues to improve model generalization. His research is distinguished by its emphasis on robustness to occlusions and varying viewpoints, making his methods practical for uncontrolled environments. With a growing citation record and a focus on foundational problems, Baradel is shaping how machines perceive and interact with the physical world, offering tools that are both technically rigorous and broadly applicable.
Research Focus
Key Achievements
Top Papers
- 1