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11/09/2022
Perceived personality state estimation in dyadic and small group interaction with deep learning methods
Dyadic and small group collaboration is an evolutionary advantageous beh...
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03/05/2021
Fast Interactive Video Object Segmentation with Graph Neural Networks
Pixelwise annotation of image sequences can be very tedious for humans. ...
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02/18/2021
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification
Our goal is to bridge human and machine intelligence in melanoma detecti...
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10/31/2020
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
In multi-person pose estimation actors can be heavily occluded, even bec...
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04/08/2020
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
In 3D human pose estimation one of the biggest problems is the lack of l...
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04/11/2019
Absolute Human Pose Estimation with Depth Prediction Network
The common approach to 3D human pose estimation is predicting the body j...
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09/19/2018
3D Human Pose Estimation with Siamese Equivariant Embedding
In monocular 3D human pose estimation a common setup is to first detect ...
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09/05/2017
Fine-tuning deep CNN models on specific MS COCO categories
Fine-tuning of a deep convolutional neural network (CNN) is often desire...
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12/02/2016
Cognitive Deep Machine Can Train Itself
Machine learning is making substantial progress in diverse applications....
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06/08/2013
Emotional Expression Classification using Time-Series Kernels
Estimation of facial expressions, as spatio-temporal processes, can take...
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10/02/2012
Distributed High Dimensional Information Theoretical Image Registration via Random Projections
Information theoretical measures, such as entropy, mutual information, a...
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01/01/2012
Collaborative Filtering via Group-Structured Dictionary Learning
Structured sparse coding and the related structured dictionary learning ...
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02/27/2011
Decision Making Agent Searching for Markov Models in Near-Deterministic World
Reinforcement learning has solid foundations, but becomes inefficient in...
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10/20/2010
Sparse and silent coding in neural circuits
Sparse coding algorithms are about finding a linear basis in which signa...
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04/21/2009
Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version
In this paper we propose an algorithm for polynomial-time reinforcement ...
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01/07/2007
Undercomplete Blind Subspace Deconvolution
We introduce the blind subspace deconvolution (BSSD) problem, which is t...
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08/16/2003
Controlled hierarchical filtering: Model of neocortical sensory processing
A model of sensory information processing is presented. The model assume...
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12/10/2002
