research
∙
07/27/2023
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
The goal of Online Domain Adaptation for semantic segmentation is to han...
share
research
∙
06/08/2023
Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings
In this work, we present a pipeline to reconstruct the 3D pose of a hors...
research
∙
06/16/2022
Going Deeper than Tracking: a Survey of Computer-Vision Based Recognition of Animal Pain and Affective States
Advances in animal motion tracking and pose recognition have been a game...
research
∙
12/22/2021
Recur, Attend or Convolve? Frame Dependency Modeling Matters for Cross-Domain Robustness in Action Recognition
Most action recognition models today are highly parameterized, and evalu...
research
∙
10/29/2021
Aligned Multi-Task Gaussian Process
Multi-task learning requires accurate identification of the correlations...
research
∙
10/27/2021
Approximation Methods for Mixed Models with Probit Link Functions
We study approximation methods for a large class of mixed models with a ...
research
∙
10/12/2021
Causal discovery from conditionally stationary time-series
Causal discovery, i.e., inferring underlying cause-effect relationships ...
research
∙
08/30/2021
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation
Timely detection of horse pain is important for equine welfare. Horses e...
research
∙
08/12/2021
Multimodal analysis of the predictability of hand-gesture properties
Embodied conversational agents benefit from being able to accompany thei...
research
∙
06/28/2021
Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech
We propose a new framework for gesture generation, aiming to allow data-...
research
∙
06/18/2021
hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition
In this paper we present our preliminary work on model-based behavioral ...
research
∙
05/21/2021
Sharing Pain: Using Domain Transfer Between Pain Types for Recognition of Sparse Pain Expressions in Horses
Orthopedic disorders are a common cause for euthanasia among horses, whi...
research
∙
02/24/2021
A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents
Embodied conversational agents (ECAs) benefit from non-verbal behavior f...
research
∙
02/17/2021
Automated Detection of Equine Facial Action Units
The recently developed Equine Facial Action Coding System (EquiFACS) pro...
research
∙
02/04/2021
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types
Missing values with mixed data types is a common problem in a large numb...
research
∙
01/14/2021
A Subjective Model of Human Decision Making Based on Quantum Decision Theory
Computer modeling of human decision making is of large importance for, e...
research
∙
12/10/2020
Full-Glow: Fully conditional Glow for more realistic image generation
Autonomous agents, such as driverless cars, require large amounts of lab...
research
∙
10/21/2020
How Do Fair Decisions Fare in Long-term Qualification?
Although many fairness criteria have been proposed for decision making, ...
research
∙
07/16/2020
Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation
This paper presents a novel framework for speech-driven gesture producti...
research
∙
02/04/2020
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks
We present a method for weakly-supervised action localization based on g...
research
∙
02/02/2020
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks
A number of techniques for interpretability have been presented for deep...
research
∙
01/27/2020
Bayesian nonparametric shared multi-sequence time series segmentation
In this paper, we introduce a method for segmenting time series data usi...
research
∙
01/25/2020
Gesticulator: A framework for semantically-aware speech-driven gesture generation
During speech, people spontaneously gesticulate, which plays a key role ...
research
∙
10/01/2019
Real-Time Semantic Stereo Matching
Scene understanding is paramount in robotics, self-navigation, augmented...
research
∙
06/12/2019
Non-Parametric Calibration for Classification
Many applications for classification methods not only require high accur...
research
∙
03/08/2019
Analyzing Input and Output Representations for Speech-Driven Gesture Generation
This paper presents a novel framework for automatic speech-driven gestur...
research
∙
01/07/2019
Dynamics are Important for the Recognition of Equine Pain in Video
A prerequisite to successfully alleviate pain in animals is to recognize...
research
∙
01/03/2019
A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels
Image classification models built into visual support systems and other ...
research
∙
11/19/2018
Mixed Likelihood Gaussian Process Latent Variable Model
We present the Mixed Likelihood Gaussian process latent variable model (...
research
∙
09/24/2018
Classify, predict, detect, anticipate and synthesize: Hierarchical recurrent latent variable models for human activity modeling
Human activity modeling operates on two levels: high-level action modeli...
research
∙
07/11/2018
Causal discovery in the presence of missing data
Missing data are ubiquitous in many domains such as healthcare. Dependin...
research
∙
03/07/2018
A Neural Network Approach to Missing Marker Reconstruction
Optical motion capture systems have become a widely used technology in v...
research
∙
02/13/2018
Active Perception and Modeling of Deformable Surfaces using Gaussian Processes and Position-based Dynamics
Exploring and modeling heterogeneous elastic surfaces requires multiple ...
research
∙
11/29/2017
Causality Refined Diagnostic Prediction
Applying machine learning in the health care domain has shown promising ...
research
∙
11/15/2017
Advances in Variational Inference
Many modern unsupervised or semi-supervised machine learning algorithms ...
research
∙
09/05/2017
Machine Learning and Social Robotics for Detecting Early Signs of Dementia
This paper presents the EACare project, an ambitious multi-disciplinary ...
research
∙
05/01/2017
Determinantal Point Processes for Mini-Batch Diversification
We study a mini-batch diversification scheme for stochastic gradient des...
research
∙
02/27/2017
Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration
Fluent and safe interactions of humans and robots require both partners ...
research
∙
02/24/2017
Deep representation learning for human motion prediction and classification
Generative models of 3D human motion are often restricted to a small num...
research
∙
11/17/2016
Generative One-Class Models for Text-based Person Retrieval in Forensic Applications
Automatic forensic image analysis assists criminal investigation experts...
research
∙
05/19/2016
Inter-Battery Topic Representation Learning
In this paper, we present the Inter-Battery Topic Model (IBTM). Our appr...
research
∙
01/23/2013
Multi-Class Detection and Segmentation of Objects in Depth
The quality of life of many people could be improved by autonomous human...
research
∙
01/15/2013
Factorized Topic Models
In this paper we present a modification to a latent topic model, which m...
research
∙
11/16/2012