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Found 13 papers, 2 papers with code
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Maritime Object Tracking, (iii) USV-based Maritime Obstacle Segmentation and (iv) USV-based Maritime Obstacle Detection.
Segmentation of Defective Skulls from CT Data for Tissue Modelling
In this work we present a method of automatic segmentation of defective skulls for custom cranial implant design and 3D printing purposes.
Learning Feature Aggregation in Temporal Domain for Re-Identification
In this paper, we focus on both these tasks and propose a method for aggregation of features in temporal domain as it is common to have multiple observations of the same object.
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss
This paper deals with segmentation of organs at risk (OAR) in head and neck area in CT images which is a crucial step for reliable intensity modulated radiotherapy treatment.
CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR
Our networks show significantly better precision in the estimation of translational motion parameters comparing with state of the art method LOAM, while achieving real-time performance.
Robotics
Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data
This work is focused on recognition of license plates in low resolution and low quality images.
CNN for Very Fast Ground Segmentation in Velodyne LiDAR Data
This paper presents a novel method for ground segmentation in Velodyne point clouds.
Robotics
BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance
We also show that our method outperforms the state-of-the-art methods for fine-grained recognition.
Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement
Camera calibration is the most crucial part of the speed measurement; therefore, we provide a brief overview of the methods and analyze a recently published method for fully automatic camera calibration and vehicle speed measurement and report the results on this data set in detail.
Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement
We improve over a recent state-of-the-art camera calibration method for traffic surveillance based on two detected vanishing points.
Ranked #4 on
Vehicle Speed Estimation
on BrnoCompSpeed
BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition
We are dealing with the problem of fine-grained vehicle make&model recognition and verification.
Five Shades of Grey for Fast and Reliable Camera Pose Estimation
The modules of the grid are greyscale and the locations within the marker field are defined by the edges between the modules.
