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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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08/25/2023
Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation
Current prevailing Video Object Segmentation (VOS) methods usually perfo...
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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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07/13/2023
Introducing Foundation Models as Surrogate Models: Advancing Towards More Practical Adversarial Attacks
Recently, the no-box adversarial attack, in which the attacker lacks acc...
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07/07/2023
Federated Unlearning via Active Forgetting
The increasing concerns regarding the privacy of machine learning models...
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07/05/2023
Line Graphics Digitization: A Step Towards Full Automation
The digitization of documents allows for wider accessibility and reprodu...
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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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05/07/2023
Bi-Mapper: Holistic BEV Semantic Mapping for Autonomous Driving
A semantic map of the road scene, covering fundamental road elements, is...
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04/12/2023
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
The Segment Anything Model (SAM) is a new image segmentation tool traine...
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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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12/31/2022
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
There is a growing interest in developing unlearnable examples (UEs) aga...
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12/20/2022
Full-Life Cycle Intent-Driven Network Verification: Challenges and Approaches
With the human friendly declarative intent policy expression, intent-dri...
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11/21/2022
Computational Optics Meet Domain Adaptation: Transferring Semantic Segmentation Beyond Aberrations
Semantic scene understanding with Minimalist Optical Systems (MOS) in mo...
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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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06/19/2022
JPEG Compression-Resistant Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System
It has been observed that the unauthorized use of face recognition syste...
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06/19/2022
Towards Adversarial Attack on Vision-Language Pre-training Models
While vision-language pre-training model (VLP) has shown revolutionary i...
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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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03/09/2022
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
The performance of semantic segmentation of RGB images can be advanced b...
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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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12/09/2021
Exploring Event-driven Dynamic Context for Accident Scene Segmentation
The robustness of semantic segmentation on edge cases of traffic scene i...
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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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08/16/2021
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation
Lacking the ability to sense ambient environments effectively, blind and...
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08/13/2021
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange
Intelligent vehicles clearly benefit from the expanded Field of View (Fo...
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07/26/2021
Benign Adversarial Attack: Tricking Algorithm for Goodness
In spite of the successful application in many fields, machine learning ...
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07/19/2021
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
Data quality is a common problem in machine learning, especially in high...
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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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06/21/2021
Pre-training also Transfers Non-Robustness
Pre-training has enabled many state-of-the-art results on many tasks. In...
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05/27/2021
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction
Drones have become a common tool, which is utilized in many tasks such a...
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05/12/2021
Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation Tasks
In recent years, the robotics community has made substantial progress in...
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03/09/2021
Capturing Omni-Range Context for Omnidirectional Segmentation
Convolutional Networks (ConvNets) excel at semantic segmentation and hav...
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03/06/2021
Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired
As the scene information, including objectness and scene type, are impor...
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03/06/2021