Hedvig Kjellström

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...

0 Marc Botet Colomer, et al. ∙

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...

0 Ernest Pokropek, et al. ∙

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...

10 Sofia Broomé, et al. ∙

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...

0 Sofia Broomé, et al. ∙

research

∙ 10/29/2021

Aligned Multi-Task Gaussian Process

Multi-task learning requires accurate identification of the correlations...

0 Olga Mikheeva, et al. ∙

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 ...

0 Benjamin Christoffersen, et al. ∙

research

∙ 10/12/2021

Causal discovery from conditionally stationary time-series

Causal discovery, i.e., inferring underlying cause-effect relationships ...

0 Carles Balsells Rodas, et al. ∙

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...

8 Maheen Rashid, et al. ∙

research

∙ 08/12/2021

Multimodal analysis of the predictability of hand-gesture properties

Embodied conversational agents benefit from being able to accompany thei...

0 Taras Kucherenko, et al. ∙

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-...

0 Taras Kucherenko, et al. ∙

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 ...

4 Ci Li, et al. ∙

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...

4 Sofia Broomé, et al. ∙

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...

0 Rajmund Nagy, et al. ∙

research

∙ 02/17/2021

Automated Detection of Equine Facial Action Units

The recently developed Equine Facial Action Coding System (EquiFACS) pro...

0 Zhenghong Li, et al. ∙

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...

0 Benjamin Christoffersen, et al. ∙

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...

0 Chenda Zhang, et al. ∙

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...

0 Moein Sorkhei, et al. ∙

research

∙ 10/21/2020

How Do Fair Decisions Fare in Long-term Qualification?

Although many fairness criteria have been proposed for decision making, ...

0 Xueru Zhang, et al. ∙

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...

0 Taras Kucherenko, et al. ∙

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...

0 Maheen Rashid, et al. ∙

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...

0 Joonatan Mänttäri, et al. ∙

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...

3 Olga Mikheeva, et al. ∙

research

∙ 01/25/2020

Gesticulator: A framework for semantically-aware speech-driven gesture generation

During speech, people spontaneously gesticulate, which plays a key role ...

0 Taras Kucherenko, et al. ∙

research

∙ 10/01/2019

Real-Time Semantic Stereo Matching

Scene understanding is paramount in robotics, self-navigation, augmented...

9 Pier Luigi Dovesi, et al. ∙

research

∙ 06/12/2019

Non-Parametric Calibration for Classification

Many applications for classification methods not only require high accur...

0 Jonathan Wenger, et al. ∙

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...

0 Taras Kucherenko, et al. ∙

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...

0 Sofia Broomé, et al. ∙

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 ...

4 Marcus Klasson, et al. ∙

research

∙ 11/19/2018

Mixed Likelihood Gaussian Process Latent Variable Model

We present the Mixed Likelihood Gaussian process latent variable model (...

0 Samuel Murray, et al. ∙

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...

0 Judith Butepage, et al. ∙

research

∙ 07/11/2018

Causal discovery in the presence of missing data

Missing data are ubiquitous in many domains such as healthcare. Dependin...

6 Ruibo Tu, et al. ∙

research

∙ 03/07/2018

A Neural Network Approach to Missing Marker Reconstruction

Optical motion capture systems have become a widely used technology in v...

0 Taras Kucherenko, et al. ∙

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 ...

0 Sergio Caccamo, et al. ∙

research

∙ 11/29/2017

Causality Refined Diagnostic Prediction

Applying machine learning in the health care domain has shown promising ...

0 Marcus Klasson, et al. ∙

research

∙ 11/15/2017

Advances in Variational Inference

Many modern unsupervised or semi-supervised machine learning algorithms ...

0 Cheng Zhang, et al. ∙

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 ...

0 Patrik Jonell, et al. ∙

research

∙ 05/01/2017

Determinantal Point Processes for Mini-Batch Diversification

We study a mini-batch diversification scheme for stochastic gradient des...

0 Cheng Zhang, et al. ∙

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 ...

0 Judith Butepage, et al. ∙

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...

0 Judith Butepage, et al. ∙

research

∙ 11/17/2016

Generative One-Class Models for Text-based Person Retrieval in Forensic Applications

Automatic forensic image analysis assists criminal investigation experts...

0 David Gerónimo, et al. ∙

research

∙ 05/19/2016

Inter-Battery Topic Representation Learning

In this paper, we present the Inter-Battery Topic Model (IBTM). Our appr...

0 Cheng Zhang, et al. ∙

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...

0 Cheng Zhang, et al. ∙

research

∙ 01/15/2013

Factorized Topic Models

In this paper we present a modification to a latent topic model, which m...

0 Cheng Zhang, et al. ∙

research

∙ 11/16/2012

Visual Recognition of Isolated Swedish Sign Language Signs

We present a method for recognition of isolated Swedish Sign Language si...

0 Saad Akram, et al. ∙

Hedvig Kjellström

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