6 citations · 11 across the 4 of their papers we have counts for
3 papers · 1 filter
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…