Arridhana Ciptadi
Papers
1
Total Citations
122
H-Index
1
About
Arridhana Ciptadi is a computer vision researcher whose work bridges computational modeling and human visual perception. His most-cited paper, "An In Depth View of Saliency" (2013, 122 citations), makes a foundational contribution by demonstrating that depth information—often overlooked in favor of color and texture cues—is critical for accurately modeling visual saliency, the process by which the brain identifies important locations in a scene. This insight has influenced subsequent research in attention modeling, scene understanding, and autonomous systems. Ciptadi’s work underscores the importance of integrating multiple sensory cues to replicate human cognitive processes in machines. By highlighting depth as a key saliency driver, he has helped shift the field toward more biologically plausible and robust computational models. His research continues to inform applications in robotics, augmented reality, and image analysis, where understanding what draws human attention is essential.
Research Focus
Key Achievements
Top Papers
- 1An In Depth View of Saliency122 citations · 2013