3D: Shape

Poster Session: Sunday, May 21, 2023, 2:45 – 6:45 pm, Pavilion

Abstract# 

Poster Title

First Author

36.429

Increasing motion parallax gain compresses space and 3D object shape

Teng, Xue

36.430

Evidence of lack of integration of binocular disparity and motion parallax in object segmentation

Neagu, Teodora

36.431

Surface Attitude Judgements in Real-World Scenes

Qian, C. Stella

36.432

The size of a novel object is learned rapidly, and unlearned slowly, for purposes of computing apparent distance.

Yonas, Albert

36.433

Size perception of 3D objects in general poses

Lin, Dawson

36.434

The Role of Orthogonality and Compactness in Recovering 3D Symmetrical Shapes

Beers, Mark

36.435

Perceptual Learning of Feelies

Dowell, Catherine

36.436

Dynamic graph convolutional networks do not recognize global 3D shapes

Fu, Shuhao

36.437

The effects of lighting direction and rotation on the perceived 3D shape of faces

Asher, Jordi

36.438

Unsupervised learning can predict properties of non-rigid mirror objects in ambiguous conditions

Yildiran, Omer F.

36.439

Sphere Stimuli in the Mental Rotation Task: A new set of Ecologically Valid stimuli with Comparative Performance to Traditional Cube Stimuli

Eich, Brandon

36.440

Viewpoint adaptation reveals potential representational differences between 2D images and 3D objects

Deng, Zhiqing

36.441

The color/shading effect and oriented double opponent neurons: a noise analysis

Gerritz, Evan