24 citations · 25 across the 4 of their papers we have counts for
5 papers · 1 filter
How to rewrite the stars: Mapping your orchard over time through constellations of fruits
Gonçalo P. Matos, Carlos Santiago, João P. Costeira +2
Following crop growth through the vegetative cycle allows farmers to predict fruit setting and yield in early stages, but it is a laborious and non-scalable task if performed by a…
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation
Luca Ciampi, Carlos Santiago, Joao Paulo Costeira +2
Monitoring vehicle flows in cities is crucial to improve the urban environment and quality of life of citizens. Images are the best sensing modality to perceive and assess the flow…
Pose Guided Attention for Multi-label Fashion Image Classification
Beatriz Quintino Ferreira, João P. Costeira, Ricardo G. Sousa +2
We propose a compact framework with guided attention for multi-label classification in the fashion domain. Our visual semantic attention model (VSAM) is supervised by automatic pos…
Subspace Segmentation by Successive Approximations: A Method for Low-Rank and High-Rank Data with Missing Entries
João Carvalho, Manuel Marques, João P. Costeira
We propose a method to reconstruct and cluster incomplete high-dimensional data lying in a union of low-dimensional subspaces. Exploring the sparse representation model, we jointly…
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
Shanghang Zhang, Guanhang Wu, João P. Costeira +1
In this paper, we develop deep spatio-temporal neural networks to sequentially count vehicles from low quality videos captured by city cameras (citycams). Citycam videos have low r…