7 citations · 18 across the 5 of their papers we have counts for
5 papers
Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes
Stefan Scholz, Nils B. Weidmann, Zachary C. Steinert-Threlkeld +2
Treating images as data has become increasingly popular in political science. While existing classifiers for images reach high levels of accuracy, it is difficult to systematically…
3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking
Urs Waldmann, Alex Hoi Hang Chan, Hemal Naik +5
Markerless methods for animal posture tracking have been rapidly developing recently, but frameworks and benchmarks for tracking large animal groups in 3D are still lacking. To ove…
Towards Monocular Shape from Refraction
Antonin Sulc, Imari Sato, Bastian Goldluecke +1
Refraction is a common physical phenomenon and has long been researched in computer vision. Objects imaged through a refractive object appear distorted in the image as a function o…
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations
Simon Giebenhain, Bastian Goldlücke
This paper introduces Attentive Implicit Representation Networks (AIR-Nets), a simple, but highly effective architecture for 3D reconstruction from point clouds. Since representing…
Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
Vlad Hosu, Bastian Goldlucke, Dietmar Saupe
We propose an effective deep learning approach to aesthetics quality assessment that relies on a new type of pre-trained features, and apply it to the AVA data set, the currently l…