Deep CNNs for Object Detection using Passive Millimeter Sensors | 5 | 0.47 | 2019 |
Using machine learning to detect and localize concealed objects in passive millimeter-wave images. | 2 | 0.46 | 2018 |
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison | 2 | 0.37 | 2018 |
Automatic learning of gait signatures for people identification. | 16 | 0.72 | 2017 |
Evaluation of Cnn Architectures for Gait Recognition Based on Optical Flow Maps | 1 | 0.35 | 2017 |
Detection and localization of objects in Passive Millimeter Wave Images. | 0 | 0.34 | 2016 |
Fast millimeter wave threat detection algorithm | 0 | 0.34 | 2015 |
Optical flow-based observation models for particle filter tracking. | 3 | 0.39 | 2015 |
Bayesian classification and active learning using lp-priors. Application to image segmentation | 0 | 0.34 | 2014 |
Human action recognition from simple feature pooling | 6 | 0.44 | 2014 |
Tracking people in video sequences using multiple models | 5 | 0.42 | 2010 |
RBM-based Silhouette Encoding for Human Action Modelling | 1 | 0.36 | 2010 |
Labeling Still Image Databases Using Graphical Models | 0 | 0.34 | 2009 |
Human Action Recognition Using Optical Flow Accumulated Local Histograms | 7 | 0.64 | 2009 |
A Comparative Study of Local Descriptors for Object Category Recognition: SIFT vs HMAX | 8 | 0.63 | 2007 |
Locating and Segmenting 3D Deformable Objects by Using Clusters of Contour Fragments | 0 | 0.34 | 2007 |
Empirical Study of Multi-scale Filter Banks for Object Categorization | 7 | 1.54 | 2006 |
Matching Deformable Features Based on Oriented Multi-scale Filter Banks | 0 | 0.34 | 2006 |
Pattern Recognition and Image Analysis, Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part II | 88 | 8.54 | 2005 |
Deformable Object Matching Based on Multi-scale Local Histograms | 1 | 0.37 | 2004 |
3D Rigid Facial Motion Estimation from Disparity Maps | 0 | 0.34 | 2003 |
Probabilistic Observation Models for Tracking Based on Optical Flow | 0 | 0.34 | 2003 |
Using Optical Flow for Tracking | 1 | 0.40 | 2003 |
An optical flow probabilistic observation model for tracking | 1 | 0.40 | 2003 |
Pattern Recognition and Image Analysis, First Iberian Conference, IbPRIA 2003, Puerto de Andratx, Mallorca, Spain, June 4-6, 2003, Proceedings | 130 | 11.34 | 2003 |
Recovering Non-rigid 3D Shape Using a Plane+Parallax Approach | 0 | 0.34 | 2002 |
Physically-based active shape models: initialization and optimization | 9 | 1.05 | 1998 |
Boundary simplification using a multiscale dominant-point detection algorithm | 21 | 0.92 | 1998 |
A New Methodology to Automatically Segment Biomedical Images | 0 | 0.34 | 1997 |