Abstract: Imagining the 3D ... 2D images based on the knowledge learned on 3D objects is the natural capability of humans even though this involves one-to-many relationships. In this paper, we propose ...

High “spatial ability” in adolescence, including the capacity to visualize 3D objects from 2D patterns, is a statistically significant predictor of later creativity in science and technology ...

Get the 2D-3D-S Dataset and place it to data/2D-3D-Semantics: http://buildingparser.stanford.edu/dataset.html#Download Get the S3DIS Dataset and place it to data ...

Since both robots and self-driving cars need to perceive their surroundings accurately, 3D object ... (2D with 2D and 3D with 3D) and cross-modal features (2D with 3D). The use of the 2D image as a ...

In this work, we propose two techniques to improve the discriminative feature learning for MOT: (1) instead of obtaining features for each object independently, we propose a novel feature interaction ...

We present an innovative monocular 3D object detection network tailored to the detection of occluded targets. This network takes an image as input to the backbone network, obtaining feature maps.

A team of researchers affiliated with several institutions in South Korea has developed a simple method for converting 2D drawings to 3D objects. In their paper published in the journal Science ...