28 citations · 99 across the 17 of their papers we have counts for
7 papers · 1 filter
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…
Discriminative Optimization: Theory and Applications to Computer Vision Problems
Jayakorn Vongkulbhisal, Fernando De la Torre, João P. Costeira
Many computer vision problems are formulated as the optimization of a cost function. This approach faces two main challenges: (i) designing a cost function with a local optimum at…
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
Han Zhao, Shanghang Zhang, Guanhang Wu +3
While domain adaptation has been actively researched in recent years, most theoretical results and algorithms focus on the single-source-single-target adaptation setting. Naive app…
Understanding People Flow in Transportation Hubs
João Carvalho, Manuel Marques, João P. Costeira
In this paper, we aim to monitor the flow of people in large public infrastructures. We propose an unsupervised methodology to cluster people flow patterns into the most typical an…
Understanding Traffic Density from Large-Scale Web Camera Data
Shanghang Zhang, Guanhang Wu, João P. Costeira +1
Understanding traffic density from large-scale web camera (webcam) videos is a challenging problem because such videos have low spatial and temporal resolution, high occlusion and…