research
∙
08/28/2023
LAC: Latent Action Composition for Skeleton-based Action Segmentation
Skeleton-based action segmentation requires recognizing composable actio...
share
research
∙
08/22/2023
How Much Temporal Long-Term Context is Needed for Action Segmentation?
Modeling long-term context in videos is crucial for many fine-grained ta...
research
∙
05/25/2023
Automatic off-line design of robot swarms: exploring the transferability of control software and design methods across different platforms
Automatic off-line design is an attractive approach to implementing robo...
research
∙
05/10/2023
Self-Supervised Video Representation Learning via Latent Time Navigation
Self-supervised video representation learning aimed at maximizing simila...
research
∙
01/19/2023
Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection
Video anomaly detection in surveillance systems with only video-level la...
research
∙
10/12/2022
Robust Action Segmentation from Timestamp Supervision
Action segmentation is the task of predicting an action label for each f...
research
∙
08/31/2022
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting
Current self-supervised approaches for skeleton action representation le...
research
∙
08/09/2021
FIFA: Fast Inference Approximation for Action Segmentation
We introduce FIFA, a fast approximate inference method for action segmen...
research
∙
07/19/2021
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
Action recognition based on skeleton data has recently witnessed increas...
research
∙
11/10/2020
Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos
Taking advantage of human pose data for understanding human activities h...
research
∙
10/28/2020
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection
This work aims at building a large scale dataset with daily-living activ...
research
∙
02/01/2018
