research
∙
09/12/2022
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks
We propose a self-supervised training approach for learning view-invaria...
share
research
∙
06/24/2022
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
We propose a framework for robust and efficient training of Dense Object...
research
∙
11/04/2021
Defining Gaze Patterns for Process Model Literacy – Exploring Visual Routines in Process Models with Diverse Mappings
Process models depict crucial artifacts for organizations regarding docu...
research
∙
12/05/2019
Generating 3D People in Scenes without People
We present a fully-automatic system that takes a 3D scene and generates ...
research
∙
06/03/2019
Low-rank Random Tensor for Bilinear Pooling
Bilinear pooling is capable of extracting high-order information from da...
research
∙
12/05/2018
An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls
Detecting unintended falls is essential for ambient intelligence and hea...
research
∙
12/05/2018
Local Temporal Bilinear Pooling for Fine-grained Action Parsing
Fine-grained temporal action parsing is important in many applications, ...
research
∙
08/09/2018
Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data
Convolutional neural networks gain more and more popularity in image cla...
research
∙
03/15/2018