activity
20142023
most citedTemporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets

61 citations · 92 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 5 cited

CVB: A Video Dataset of Cattle Visual Behaviors

Ali Zia, Renuka Sharma, Reza Arablouei +7

Existing image/video datasets for cattle behavior recognition are mostly small, lack well-defined labels, or are collected in unrealistic controlled environments. This limits the u…

cs.CV2023★ 1 cited

Image Labels Are All You Need for Coarse Seagrass Segmentation

Scarlett Raine, Ross Marchant, Brano Kusy +2

Seagrass meadows serve as critical carbon sinks, but estimating the amount of carbon they store requires knowledge of the seagrass species present. Underwater and surface vehicles…

cs.CV2022★ 1 cited

A Capsule Network for Hierarchical Multi-Label Image Classification

Khondaker Tasrif Noor, Antonio Robles-Kelly, Brano Kusy

Image classification is one of the most important areas in computer vision. Hierarchical multi-label classification applies when a multi-class image classification problem is arran…

cs.CV2021★ 9 cited

The CSIRO Crown-of-Thorn Starfish Detection Dataset

Jiajun Liu, Brano Kusy, Ross Marchant +17

Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are underway in an attemp…

cs.LG2021★ 15 cited

Exploring Deep Neural Networks on Edge TPU

Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy +2

This paper explores the performance of Google's Edge TPU on feed forward neural networks. We consider Edge TPU as a hardware platform and explore different architectures of deep ne…

cs.LG2015★ 61 cited

Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets

Jiajun Liu, Kun Zhao, Brano Kusy +2

The prediction of periodical time-series remains challenging due to various types of data distortions and misalignments. Here, we propose a novel model called Temporal embedding-en…