Search Results for author: João P. Costeira

Found 7 papers, 3 papers with code

Subspace Segmentation by Successive Approximations: A Method for Low-Rank and High-Rank Data with Missing Entries

no code implementations5 Sep 2017 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.

FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras

1 code implementation ICCV 2017 Shanghang Zhang, Guanhang Wu, João P. Costeira, José M. F. Moura

To overcome limitations of existing methods and incorporate the temporal information of traffic video, we design a novel FCN-rLSTM network to jointly estimate vehicle density and vehicle count by connecting fully convolutional neural networks (FCN) with long short term memory networks (LSTM) in a residual learning fashion.

Discriminative Optimization: Theory and Applications to Computer Vision Problems

no code implementations13 Jul 2017 Jayakorn Vongkulbhisal, Fernando de la Torre, João P. Costeira

This approach faces two main challenges: (i) designing a cost function with a local optimum at an acceptable solution, and (ii) developing an efficient numerical method to search for one (or multiple) of these local optima.

Image Denoising Point Cloud Registration +1

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks

4 code implementations26 May 2017 Han Zhao, Shanghang Zhang, Guanhang Wu, João P. Costeira, José M. F. Moura, Geoffrey J. Gordon

As a step toward bridging the gap, we propose a new generalization bound for domain adaptation when there are multiple source domains with labeled instances and one target domain with unlabeled instances.

Domain Adaptation Sentiment Analysis

Understanding People Flow in Transportation Hubs

no code implementations28 Apr 2017 João Carvalho, Manuel Marques, João P. Costeira

Results show that our methodology is able to successfully summarize the representative patterns for such a long observation period, providing relevant information for airport management.


Understanding Traffic Density from Large-Scale Web Camera Data

1 code implementation CVPR 2017 Shanghang Zhang, Guanhang Wu, João P. Costeira, José M. F. Moura

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 large perspective.


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