SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
We propose a novel scene flow estimation approach to capture and infer 3D motions from point clouds. Estimating 3D motions for point …
Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting
Soccer broadcast video understanding has been drawing a lot of attention in recent years within data scientists and industrial …
SeedQuant: A deep learning-based tool for assessing stimulant and inhibitor activity on root parasitic seeds
Witchweeds (Striga spp.) and broomrapes (Orobanchaceae and Phelipanche spp.) are root parasitic plants that infest many crops in warm …
Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts
Toward the goal of automatic production for sports broadcasts, a paramount task consists in understanding the high-level semantic …
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
Understanding broadcast videos is a challenging task in computer vision, as it requires generic reasoning capabilities to appreciate …
SALA: Soft Assignment Local Aggregation for 3D Semantic Segmentation
We introduce the idea of using learnable neighbor-to-grid soft assignment in grid-based aggregation functions for the task of 3D …
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Multi-view projection methods have shown the capability to reach state-of-the-art performance on 3D shape recognition. Most advances in …
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
Understanding videos is challenging in computer vision. In particular, the large memory footprint of an untrimmed video makes most …
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks
Point cloud architecture design has become a crucial problem for 3D deep learning. Several efforts exist to manually design …
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement
In autonomous driving pipelines, perception modules provide a visual understanding of the surrounding road scene. Among the perception …
A Context-Aware Loss Function for Action Spotting in Soccer Videos
In video understanding, action spotting consists in temporally localizing human-induced events annotated with single timestamps. In …
Efficient Tracking Proposals using 2D-3D Siamese Networks on LIDAR
Tracking vehicles in LIDAR point clouds is a challenging task due to the sparsity of the data and the dense search space. The lack of …
Leveraging Shape Completion for 3D Siamese Tracking
Point clouds are challenging to process due to their sparsity, therefore autonomous vehicles rely more on appearance attributes than …
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking
Despite the numerous developments in object tracking, further improvement of current tracking algorithms is limited by small and mostly …
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
In this paper, we introduce SoccerNet, a benchmark for action spotting in soccer videos. The dataset is composed of 500 complete soccer …
Integration of Absolute Orientation Measurements in the KinectFusion Reconstruction pipeline
In this paper, we show how absolute orientation measurements provided by low-cost but high-fidelity IMU sensors can be integrated into …
A Moving 3D Laser Scanner for Automated Underbridge Inspection
Recent researches proved that the underbridge geometry can be reconstructed by mounting a 3D laser scanner on a motorized cart …
A Solution for Crime Scene Reconstruction using Time-of-Flight Cameras
In this work, we propose a method for three-dimensional (3D) reconstruction of wide crime scene, based on a Simultaneous Localization …
Recognition of Children on Age-Different Images: Facial Morphology and Age-Stable Features
The aim of study was to identify whether facial features are stable in time and can be utilized for facial recognition by comparing …
Motion Capture: An Evaluation of Kinect V2 Body Tracking for Upper Limb Motion Analysis
In this study, we evaluate the performances of the body tracking algorithm of the Kinect V2 low-cost time-of-flight camera for medical …
Accuracy of the Microsoft Kinect System in the Identification of the Body Posture
Markerless motion capture systems have been developed in an effort to evaluate human movements in a natural setting. However, the …
A Metrological Characterization of the Kinect V2 Time-of-Flight camera
A metrological characterization process for time-of-flight (TOF) cameras is proposed in this paper and applied to the Microsoft Kinect …
A non-contact optical technique for vehicle tracking along bounded trajectories
This paper presents a method for measuring the non-controlled trajectory of a cart along a bounded rectilinear path. The method uses …
A Robot Trajectory Programming Method using Multi-Camera Systems
The paper studies how multi-camera systems can be used for registering trajectories. A sensorized tool (a paintbrush) has been used to …
Programmation offline d’une cellule robotisée à l’aide de techniques innovantes
The use of anthropomorphic robots for tiles decoration, painting them, links the repeatability and the high rhythm of production with a …
