Search Results for author: Jorge Batista

Found 7 papers, 1 papers with code

Lifting Object Detection Datasets into 3D

no code implementations22 Mar 2015 Joao Carreira, Sara Vicente, Lourdes Agapito, Jorge Batista

In particular, acquiring ground truth 3D shapes of objects pictured in 2D images remains a challenging feat and this has hampered progress in recognition-based object reconstruction from a single image.

3D Reconstruction Object Detection +3

Fast Training of Pose Detectors in the Fourier Domain

no code implementations NeurIPS 2014 João F. Henriques, Pedro Martins, Rui F. Caseiro, Jorge Batista

In many datasets, the samples are related by a known image transformation, such as rotation, or a repeatable non-rigid deformation.

Pose Estimation

Reconstructing PASCAL VOC

no code implementations CVPR 2014 Sara Vicente, Joao Carreira, Lourdes Agapito, Jorge Batista

We address the problem of populating object category detection datasets with dense, per-object 3D reconstructions, bootstrapped from class labels, ground truth figure-ground segmentations and a small set of keypoint annotations.

Structure from Motion

High-Speed Tracking with Kernelized Correlation Filters

8 code implementations30 Apr 2014 João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista

Interestingly, for linear regression our formulation is equivalent to a correlation filter, used by some of the fastest competitive trackers.

Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem

no code implementations CVPR 2013 Rui Caseiro, Pedro Martins, Joao F. Henriques, Fatima Silva Leite, Jorge Batista

In the past few years there has been a growing interest on geometric frameworks to learn supervised classification models on Riemannian manifolds [31, 27].

Classification General Classification +1

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