26,020 Result(s)
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Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft
This paper introduces a new cross-domain dataset, CubeSat-CDT, that includes 21 trajectories of a real CubeSat acquired in a laboratory setup, combined with 65 trajectories generated using two rendering engines –...
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Chapter and Conference Paper
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System
Although the smart camera parking system concept has existed for decades, a few approaches have fully addressed the system’s scalability and reliability. As the cornerstone of a smart parking system is the abi...
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Chapter and Conference Paper
BadDet: Backdoor Attacks on Object Detection
Backdoor attack is a severe security threat which injects a backdoor trigger into a small portion of training data such that the trained model gives incorrect predictions when the specific trigger appears. Whi...
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Chapter and Conference Paper
Unrestricted Black-Box Adversarial Attack Using GAN with Limited Queries
Adversarial examples are inputs intentionally generated for fooling a deep neural network. Recent studies have proposed unrestricted adversarial attacks that are not norm-constrained. However, the previous unr...
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Chapter and Conference Paper
AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging
This paper presents the baseline approach for the organized 2nd Covid-19 Competition, occurring in the framework of the AIMIA Workshop in the European Conference on Computer Vision (ECCV 2022). It presents the...
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Chapter and Conference Paper
Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification
The success of deep learning has set new benchmarks for many medical image analysis tasks. However, deep models often fail to generalize in the presence of distribution shifts between training (source) data an...
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Chapter and Conference Paper
PriSeg: IFC-Supported Primitive Instance Geometry Segmentation with Unsupervised Clustering
One of the societal problems for current building construction projects is the lack of timely progress monitoring and quality control, causing over-budget costs, inefficient productivity, and poor performance....
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Chapter and Conference Paper
Why Is the Video Analytics Accuracy Fluctuating, and What Can We Do About It?
It is a common practice to think of a video as a sequence of images (frames), and re-use deep neural network models that are trained only on images for similar analytics tasks on videos. In this paper, we show...
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Chapter and Conference Paper
Attribution-Based Confidence Metric for Detection of Adversarial Attacks on Breast Histopathological Images
In this paper, we develop attribution-based confidence (ABC) metric to detect black-box adversarial attacks in breast histopathology images. Due to the lack of data for this problem, we subjected histopatholog...
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Chapter and Conference Paper
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features
State of the art image super resolution (ISR) methods use generative networks to produce high resolution (HR) images from their low resolution (LR) counterparts. In this paper we show with the help of interpre...
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Chapter and Conference Paper
Facilitating Construction Scene Understanding Knowledge Sharing and Reuse via Lifelong Site Object Detection
Automatically recognizing diverse construction resources (e.g., workers and equipment) from construction scenes supports efficient and intelligent workplace management. Previous studies have focused on identifyin...
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Chapter and Conference Paper
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications
In the pursuit of achieving ever-increasing accuracy, large and complex neural networks are usually developed. Such models demand high computational resources and therefore cannot be deployed on edge devices. ...
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Chapter and Conference Paper
4D-StOP: Panoptic Segmentation of 4D LiDAR Using Spatio-Temporal Object Proposal Generation and Aggregation
In this work, we present a new paradigm, called 4D-StOP, to tackle the task of 4D Panoptic LiDAR Segmentation. 4D-StOP first generates spatio-temporal proposals using voting-based center predictions, where eac...
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Chapter and Conference Paper
A Hyperspectral and RGB Dataset for Building Façade Segmentation
Hyperspectral Imaging (HSI) provides detailed spectral information and has been utilised in many real-world applications. This work introduces an HSI dataset of building facades in a light industry environment...
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Chapter and Conference Paper
ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM and Progress Monitoring
Hand-held scanners are progressively adopted to workflows on construction sites. Yet, they suffer from accuracy problems, preventing them from deployment for demanding use cases. In this paper, we present a re...
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Chapter and Conference Paper
Hydra Attention: Efficient Attention with Many Heads
While transformers have begun to dominate many tasks in vision, applying them to large images is still computationally difficult. A large reason for this is that self-attention scales quadratically with the nu...
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Chapter and Conference Paper
Exploratory Data Analysis of Population Level Smartphone-Sensed Data
Mobile health involves gathering smartphone-sensor data passively from user’s phones, as they live their lives ’In-the-wild”, periodically annotating data with health labels. Such data is used by machine learn...
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Chapter and Conference Paper
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
We present a joint camera and radar approach to enable autonomous vehicles to understand and react to human gestures in everyday traffic. Initially, we process the radar data with a PointNet followed by a spat...
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Chapter and Conference Paper
Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving
Amodal perception is the ability to hallucinate full shapes of (partially) occluded objects. While natural to humans, learning-based perception methods often only focus on the visible parts of scenes. This con...
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Chapter and Conference Paper
Facade Layout Completion with Long Short-Term Memory Networks
In a workflow creating 3D city models, facades of buildings can be reconstructed from oblique aerial images for which the extrinsic and intrinsic parameters are known. If the wall planes have already been dete...
