activity
20132024
most citedFactorized Topic Models

4 citations · 8 across the 12 of their papers we have counts for

collaborators

10 papers

cs.CV2023

Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings

Ernest Pokropek, Sofia Broomé, Pia Haubro Andersen +1

In this work, we present a pipeline to reconstruct the 3D pose of a horse from 4 simultaneous surveillance camera recordings. Our environment poses interesting challenges to tackle…

cs.CV2023

Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models

Wenjie Yin, Ruibo Tu, Hang Yin +3

Data-driven and controllable human motion synthesis and prediction are active research areas with various applications in interactive media and social robotics. Challenges remain i…

cs.LG20221 cited

Optimal transport for causal discovery

Ruibo Tu, Kun Zhang, Hedvig Kjellström +1

To determine causal relationships between two variables, approaches based on Functional Causal Models (FCMs) have been proposed by properly restricting model classes; however, the…

cs.CV20201 cited

Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks

Maheen Rashid, Hedvig Kjellström, Yong Jae Lee

We present a method for weakly-supervised action localization based on graph convolutions. In order to find and classify video time segments that correspond to relevant action clas…

cs.CV2019

A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels

Marcus Klasson, Cheng Zhang, Hedvig Kjellström

Image classification models built into visual support systems and other assistive devices need to provide accurate predictions about their environment. We focus on an application o…

cs.LG2016

Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation

An Qu, Cheng Zhang, Paul Ackermann +1

Imputing incomplete medical tests and predicting patient outcomes are crucial for guiding the decision making for therapy, such as after an Achilles Tendon Rupture (ATR). We formul…