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09/16/2023
Staged Contact-Aware Global Human Motion Forecasting
Scene-aware global human motion forecasting is critical for manifold app...
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08/28/2023
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
Deep-learning models for 3D point cloud semantic segmentation exhibit li...
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07/14/2023
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
Anomalies are rare and anomaly detection is often therefore framed as On...
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06/19/2023
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
For the task of semantic segmentation (SS) under domain shift, active le...
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04/17/2023
About latent roles in forecasting players in team sports
Forecasting players in sports has grown in popularity due to the potenti...
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04/12/2023
Best Practices for 2-Body Pose Forecasting
The task of collaborative human pose forecasting stands for predicting t...
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03/10/2023
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations
Self-paced learning has been beneficial for tasks where some initial kno...
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01/23/2023
Contracting Skeletal Kinematic Embeddings for Anomaly Detection
Detecting the anomaly of human behavior is paramount to timely recognizi...
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11/16/2022
Are we certain it's anomalous?
The progress in modelling time series and, more generally, sequences of ...
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09/21/2022
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
Few-shot fine-grained classification and person search appear as distinc...
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07/24/2022
Pose Forecasting in Industrial Human-Robot Collaboration
Pushing back the frontiers of collaborative robots in industrial environ...
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07/20/2022
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
3D LiDAR semantic segmentation is fundamental for autonomous driving. Se...
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07/20/2022
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
3D point cloud semantic segmentation is fundamental for autonomous drivi...
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03/24/2022
Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress
Earthquake forecasting and prediction have long and in some cases sordid...
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03/22/2022
Under the Hood of Transformer Networks for Trajectory Forecasting
Transformer Networks have established themselves as the de-facto state-o...
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10/09/2021
Space-Time-Separable Graph Convolutional Network for Pose Forecasting
Human pose forecasting is a complex structured-data sequence-modelling t...
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02/12/2021
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) is a key field in visual recognitio...
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10/16/2020
SF-UDA^3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection
3D object detectors based only on LiDAR point clouds hold the state-of-t...
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09/04/2020
Class Interference Regularization
Contrastive losses yield state-of-the-art performance for person re-iden...
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05/21/2020
Joint Detection and Tracking in Videos with Identification Features
Recent works have shown that combining object detection and tracking tas...
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04/17/2020
An integrated light management system with real-time light measurement and human perception
Illumination is important for well-being, productivity and safety across...
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03/18/2020
Transformer Networks for Trajectory Forecasting
Most recent successes on forecasting the people motion are based on LSTM...
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09/03/2019
Knowledge Distillation for End-to-End Person Search
We introduce knowledge distillation for end-to-end person search. End-to...
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09/03/2019
Knowledge Distillation for End-to-EndPerson Search
We introduce knowledge distillation for end-to-end person search. End-to...
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05/03/2019
Query-guided End-to-End Person Search
Person search has recently gained attention as the novel task of finding...
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01/30/2019
Human-centric light sensing and estimation from RGBD images: The invisible light switch
Lighting design in indoor environments is of primary importance for at l...
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01/07/2019
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
In this work, we explore the correlation between people trajectories and...
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09/20/2018
RGBD2lux: Dense light intensity estimation with an RGBD sensor
Lighting design and modelling luminaires in a virtual or real scene) or...
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05/02/2018
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses
Recent approaches on trajectory forecasting use tracklets to predict the...
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03/28/2018
Adversarial Network Compression
Neural network compression has recently received much attention due to t...
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09/03/2016