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L. Leal-Taixe
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Video Object Segmentation Without Temporal Information
Fusion of Head and Full-Body Detectors for Multi-Object Tracking
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs
Image-based localization using LSTMs for structured feature correlation
Deep Depth from Focus
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking
One-Shot Video Object Segmentation
Tracking with multi-level features
Learning by tracking: siamese CNN for robust target association
MOT16: A benchmark for multi-object tracking
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors
Joint Tracking and Segmentation of Multiple Targets
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
Automatic tracking of vessel-like structures from a single starting point
Pose Estimation of Object Categories in Videos Using Linear Programming
Efficient multiple people tracking using minimum cost arborescences
Learning an image-based motion context for multiple people tracking
Multiple object tracking with context awareness
Class generative models based on feature regression for pose estimation of object categories
Real-time sign language recognition using a consumer depth camera
Pedestrian interaction in tracking: the social force model and global optimization methods
3D Object Recognition and Pose Estimation for Multiple Objects using Multi-Prioritized RANSAC and Model Updating
Branch-and-price global optimization for multi-view multi-target tracking
Exploiting pedestrian interaction via global optimization and social behaviors
Outdoor and Large-Scale Real-World Scene Analysis
Data-driven Manifolds for Outdoor Motion Capture
Three dimensional tracking of exploratory behavior of barnacle cyprids using stereoscopy
Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker
Efficient and robust shape matching for model based human motion capture
Outdoor human motion capture using inverse kinematics and von Mises-Fisher sampling
A stereoscopic approach for three dimensional tracking of marine biofouling microorganisms
Understanding what we cannot see: automatic analysis of 4D digital in-line holographic microscopy data
Classification of swimming microorganisms motion patterns in 4D digital in-line holography data
Automatic tracking of swimming microorganisms in 4D digital in-line holography data
Automatic segmentation of multi-stain histology images of arteries
Automatic segmentation of arteries in multi-stain histology images
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