5 citations · 5 across the 3 of their papers we have counts for
5 papers
Single Image Super-Resolution for Domain-Specific Ultra-Low Bandwidth Image Transmission
Jesper Haahr Christensen, Lars Valdemar Mogensen, Ole Ravn
Low-bandwidth communication, such as underwater acoustic communication, is limited by best-case data rates of 30--50 kbit/s. This renders such channels unusable or inefficient at b…
SeaShark: Towards a Modular Multi-Purpose Man-Portable AUV
Jesper Haahr Christensen, Marco Jacobi, Martin Clemmensen Rotne +4
In this work, we present the SeaShark AUV: a modular, easily configurable, one-man portable micro-AUV. The SeaShark AUV is conceived as modular parts that fit around a central main…
Deep Learning based Segmentation of Fish in Noisy Forward Looking MBES Images
Jesper Haahr Christensen, Lars Valdemar Mogensen, Ole Ravn
In this work, we investigate a Deep Learning (DL) approach to fish segmentation in a small dataset of noisy low-resolution images generated by a forward-looking multibeam echosound…
BatVision with GCC-PHAT Features for Better Sound to Vision Predictions
Jesper Haahr Christensen, Sascha Hornauer, Stella Yu
Inspired by sophisticated echolocation abilities found in nature, we train a generative adversarial network to predict plausible depth maps and grayscale layouts from sound. To ach…
BatVision: Learning to See 3D Spatial Layout with Two Ears
Jesper Haahr Christensen, Sascha Hornauer, Stella Yu
Many species have evolved advanced non-visual perception while artificial systems fall behind. Radar and ultrasound complement camera-based vision but they are often too costly and…