activity
20162026
most citedSeeing biodiversity: perspectives in machine learning for wildlife conservation

733 citations · 1.3k across the 48 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.IV2022★ 1 cited

Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation

Chengxi Zeng, Xinyu Yang, Majid Mirmehdi +2

We propose Video-TransUNet, a deep architecture for instance segmentation in medical CT videos constructed by integrating temporal feature blending into the TransUNet deep learning…

cs.CV2022

Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing Things

Alessandro Masullo, Toby Perrett, Tilo Burghardt +3

We propose a novel approach to multimodal sensor fusion for Ambient Assisted Living (AAL) which takes advantage of learning using privileged information (LUPI). We address two majo…

cs.CV2022★ 5 cited

Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric Learning

Maria Stennett, Daniel I. Rubenstein, Tilo Burghardt

This paper combines deep learning techniques for species detection, 3D model fitting, and metric learning in one pipeline to perform individual animal identification from photograp…

cs.CV2022

Dynamic Curriculum Learning for Great Ape Detection in the Wild

Xinyu Yang, Tilo Burghardt, Majid Mirmehdi

We propose a novel end-to-end curriculum learning approach for sparsely labelled animal datasets leveraging large volumes of unlabelled data to improve supervised species detectors…

cs.CV2022

Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification

Jing Gao, Tilo Burghardt, Neill W. Campbell

We describe a practically evaluated approach for training visual cattle ID systems for a whole farm requiring only ten minutes of labelling effort. In particular, for the task of a…