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08/19/2021
Gravity-Aware Monocular 3D Human-Object Reconstruction
This paper proposes GraviCap, i.e., a new approach for joint markerless ...
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09/24/2019
Multi-Person 3D Human Pose Estimation from Monocular Images
Multi-person 3D human pose estimation from a single image is a challengi...
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09/17/2019
ProtoGAN: Towards Few Shot Learning for Action Recognition
Few-shot learning (FSL) for action recognition is a challenging task of ...
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09/14/2019
Progression Modelling for Online and Early Gesture Detection
Online and Early detection of gestures is crucial for building touchless...
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08/18/2019
On the Robustness of Human Pose Estimation
This paper provides, to the best of our knowledge, the first comprehensi...
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08/14/2019
3D Human Pose Estimation under limited supervision using Metric Learning
Estimating 3D human pose from monocular images demands large amounts of ...
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04/02/2019
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Monocular 3D Human Pose Estimation from static images is a challenging p...
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01/20/2019
Removal of Batch Effects using Generative Adversarial Networks
Many biological data analysis processes like Cytometry or Next Generatio...
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11/01/2018
An Improved Learning Framework for Covariant Local Feature Detection
Learning feature detection has been largely an unexplored area when comp...
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01/04/2018
A Large Dataset for Improving Patch Matching
We propose a new dataset for learning local image descriptors which can ...
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11/25/2017
Structure-Aware and Temporally Coherent 3D Human Pose Estimation
Deep learning methods for 3D human pose estimation from RGB images requi...
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01/24/2017
Improved Descriptors for Patch Matching and Reconstruction
We propose a convolutional neural network (ConvNet) based approach for l...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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11/16/2014
Efficient Object Localization Using Convolutional Networks
Recent state-of-the-art performance on human-body pose estimation has be...
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09/28/2014
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation
In this work, we propose a novel and efficient method for articulated hu...
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06/11/2014
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
This paper proposes a new hybrid architecture that consists of a deep Co...
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12/27/2013