3 citations · 5 across the 6 of their papers we have counts for
7 papers · 1 filter
Towards robustness under occlusion for face recognition
Tomas M. Borges, Teofilo E. de Campos, Ricardo de Queiroz
In this paper, we evaluate the effects of occlusions in the performance of a face recognition pipeline that uses a ResNet backbone. The classifier was trained on a subset of the Ce…
Domain adaptation for person re-identification on new unlabeled data using AlignedReID++
Tiago de C. G. Pereira, Teofilo E. de Campos
In the world where big data reigns and there is plenty of hardware prepared to gather a huge amount of non structured data, data acquisition is no longer a problem. Surveillance ca…
Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification
Tiago de C. G. Pereira, Teofilo E. de Campos
Unsupervised Domain Adaptation (UDA) methods for person Re-Identification (Re-ID) rely on target domain samples to model the marginal distribution of the data. To deal with the lac…
Hand range of motion evaluation for Rheumatoid Arthritis patients
Luciano Walenty Xavier Cejnog, Roberto Marcondes Cesar, Teofilo Emidio de Campos +1
We introduce a framework for dynamic evaluation of the fingers movements: flexion, extension, abduction and adduction. This framework estimates angle measurements from joints compu…
Domain adaptation for holistic skin detection
Aloisio Dourado, Frederico Guth, Teofilo Emidio de Campos +1
Human skin detection in images is a widely studied topic of Computer Vision for which it is commonly accepted that analysis of pixel color or local patches may suffice. This is bec…
Skin lesion segmentation using U-Net and good training strategies
Fred Guth, Teofilo E. deCampos
In this paper we approach the problem of skin lesion segmentation using a convolutional neural network based on the U-Net architecture. We present a set of training strategies that…