research
∙
09/12/2023
Action Segmentation Using 2D Skeleton Heatmaps
This paper presents a 2D skeleton-based action segmentation method with ...
share
research
∙
05/31/2023
Learning by Aligning 2D Skeleton Sequences in Time
This paper presents a novel self-supervised temporal video alignment fra...
research
∙
05/31/2023
Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment
This paper presents a novel transformer-based framework for unsupervised...
research
∙
06/30/2022
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks
We introduce a novel approach for temporal activity segmentation with ti...
research
∙
05/27/2021
Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering
We present a novel approach for unsupervised activity segmentation, whic...
research
∙
04/11/2020
Towards Anomaly Detection in Dashcam Videos
Inexpensive sensing and computation, as well as insurance innovations, h...
research
∙
03/20/2018
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences
Interest point descriptors have fueled progress on almost every problem ...
research
∙
01/08/2018
Deep Supervision with Intermediate Concepts
Recent data-driven approaches to scene interpretation predominantly pose...
research
∙
12/08/2016
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
Monocular 3D object parsing is highly desirable in various scenarios inc...
research
∙
09/15/2015
Comparative Design Space Exploration of Dense and Semi-Dense SLAM
SLAM has matured significantly over the past few years, and is beginning...
research
∙
11/18/2014
Towards Scene Understanding with Detailed 3D Object Representations
Current approaches to semantic image and scene understanding typically e...
research
∙
10/08/2014