19 citations · 34 across the 6 of their papers we have counts for
6 papers
PointMixup: Augmentation for Point Clouds
Yunlu Chen, Vincent Tao Hu, Efstratios Gavves +4
This paper introduces data augmentation for point clouds by interpolation between examples. Data augmentation by interpolation has shown to be a simple and effective approach in th…
Tracking-Assisted Segmentation of Biological Cells
Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli +1
U-Net and its variants have been demonstrated to work sufficiently well in biological cell tracking and segmentation. However, these methods still suffer in the presence of complex…
SafeCritic: Collision-Aware Trajectory Prediction
Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss +1
Navigating complex urban environments safely is a key to realize fully autonomous systems. Predicting future locations of vulnerable road users, such as pedestrians and cyclists, t…
Increasing Expressivity of a Hyperspherical VAE
Tim R. Davidson, Jakub M. Tomczak, Efstratios Gavves
Learning suitable latent representations for observed, high-dimensional data is an important research topic underlying many recent advances in machine learning. While traditionally…
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation
Yunlu Chen, Thomas Mensink, Efstratios Gavves
A key challenge for RGB-D segmentation is how to effectively incorporate 3D geometric information from the depth channel into 2D appearance features. We propose to model the effect…
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
Shuai Liao, Efstratios Gavves, Cees G. M. Snoek
Many computer vision challenges require continuous outputs, but tend to be solved by discrete classification. The reason is classification's natural containment within a probabilit…