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09/21/2023
Unveiling the Hidden Realm: Self-supervised Skeleton-based Action Recognition in Occluded Environments
To integrate action recognition methods into autonomous robotic systems,...
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09/21/2023
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision
Self-supervised representation learning for human action recognition has...
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08/23/2023
Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation
Fall detection is a vital task in health monitoring, as it allows the sy...
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07/28/2023
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation of Road Scenes
Light field cameras can provide rich angular and spatial information to ...
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07/15/2023
Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents
The mobile robot relies on SLAM (Simultaneous Localization and Mapping) ...
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07/15/2023
Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments
Grounded Situation Recognition (GSR) is capable of recognizing and inter...
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05/15/2023
FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition
Domain adaptation is essential for activity recognition, as common spati...
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03/24/2023
FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation
This paper raises the new task of Fisheye Semantic Completion (FSC), whe...
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03/21/2023
360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View
Seeing only a tiny part of the whole is not knowing the full circumstanc...
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03/02/2023
Delivering Arbitrary-Modal Semantic Segmentation
Multimodal fusion can make semantic segmentation more robust. However, f...
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03/02/2023
MuscleMap: Towards Video-based Activated Muscle Group Estimation
In this paper, we tackle the new task of video-based Activated Muscle Gr...
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02/28/2023
MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments
Wearable robotics can improve the lives of People with Visual Impairment...
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07/25/2022
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
In this paper, we address panoramic semantic segmentation, which provide...
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07/13/2022
Trans4Map: Revisiting Holistic Top-down Mapping from Egocentric Images to Allocentric Semantics with Vision Transformers
Humans have an innate ability to sense their surroundings, as they can e...
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07/13/2022
Multi-modal Depression Estimation based on Sub-attentional Fusion
Failure to timely diagnose and effectively treat depression leads to ove...
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04/10/2022
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding
Visual recognition inside the vehicle cabin leads to safer driving and m...
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04/10/2022
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates
Driver observation models are rarely deployed under perfect conditions. ...
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04/03/2022
Indoor Navigation Assistance for Visually Impaired People via Dynamic SLAM and Panoptic Segmentation with an RGB-D Sensor
Exploring an unfamiliar indoor environment and avoiding obstacles is cha...
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03/19/2022
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning
Autonomous vehicles utilize urban scene segmentation to understand the r...
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03/17/2022
MatchFormer: Interleaving Attention in Transformers for Feature Matching
Local feature matching is a computationally intensive task at the subpix...
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03/02/2022
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
Panoramic images with their 360-degree directional view encompass exhaus...
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03/02/2022
TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration
Traditional video-based human activity recognition has experienced remar...
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02/27/2022
Transformer-based Knowledge Distillation for Efficient Semantic Segmentation of Road-driving Scenes
For scene understanding in robotics and automated driving, there is a gr...
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02/23/2022
ProFormer: Learning Data-efficient Representations of Body Movement with Prototype-based Feature Augmentation and Visual Transformers
Automatically understanding human behaviour allows household robots to i...
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02/01/2022
Should I take a walk? Estimating Energy Expenditure from Video Data
We explore the problem of automatically inferring the amount of kilocalo...
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11/30/2021
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning
Human affect recognition is a well-established research area with numero...
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10/21/2021
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation
Autonomous vehicles clearly benefit from the expanded Field of View (FoV...
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08/20/2021
Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance
Transparent objects, such as glass walls and doors, constitute architect...
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07/07/2021
HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor
Independently exploring unknown spaces or finding objects in an indoor e...
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07/07/2021
Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World
Common fully glazed facades and transparent objects present architectura...
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07/01/2021
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
At the heart of all automated driving systems is the ability to sense th...
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05/10/2021