Computational 3D vision concerns algorithms and sensor systems that infer three-dimensional structure, motion, and semantics from visual and related signals. Methods span monocular and multi-view 3D reconstruction, depth estimation, inverse rendering, and 4D scene capture, often integrating LiDAR, radar, infrared, and event or neuromorphic sensors. Deep learning architectures and data-driven simulation play central roles in segmentation, pose estimation, anomaly detection, and novel view synthesis, enabling robust perception, mapping, and editing of complex environments for robotics, autonomous systems, and immersive displays.
Software
A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need for massive computing resources. Called Time-to-Move (TTM), it offers unprecedented control over ...
Jun 22, 2026
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Security
It may look like a picture of a panda bear to you, but to your business's AI agent, it can act like a skeleton key, bypassing safety safeguards and potentially causing the model to generate harmful, misleading or policy-violating ...
Jun 22, 2026
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Computer Sciences
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST researchers have developed ...
Jun 19, 2026
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Security
Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing approaches by combining information about where crimes occur, when they happen and wider social patterns. ...
Jun 18, 2026
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Hi Tech & Innovation
Researchers have developed a new kind of lidar system that simultaneously measures the location, speed and material properties of objects in a scene. This type of information could be useful for applications such as robotics, ...
Jun 18, 2026
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30
Robotics
From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial intelligence (AI), is widely used in daily life. A joint research team from KAIST and international ...
Jun 17, 2026
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Robotics
An auto factory worker can remember the storage bin where she left a partly assembled component the night before and quickly return to that spot to pick it up. But robots that may work side by side with her would struggle ...
Jun 17, 2026
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Computer Sciences
A single photograph contains a wealth of information, but determining 3D spatial relationships from a 2D scene is no simple task. Many attempts have been made to develop a method to reconstruct both depth and sharp color ...
Jun 11, 2026
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Robotics
For remotely operated underwater vehicles, cloudy and turbulent waters are often a no-go. When vehicles settle on the seafloor or dig through a sand bed, they can kick up clouds of sediment that make it tough for onboard ...
Jun 11, 2026
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Robotics
KAIST researchers solved a key challenge in the commercialization of physical AI by developing a new technology that enables AI to learn human judgment criteria on its own from just a few videos.
Jun 10, 2026
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