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20172022
most citedPointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement

53 citations · 106 across the 10 of their papers we have counts for

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20 papers · 1 filter

cs.CV20223 cited

SegNeRF: 3D Part Segmentation with Neural Radiance Fields

Jesus Zarzar, Sara Rojas, Silvio Giancola +1

Recent advances in Neural Radiance Fields (NeRF) boast impressive performances for generative tasks such as novel view synthesis and 3D reconstruction. Methods based on neural radi…

cs.CV20221 cited

Estimating more camera poses for ego-centric videos is essential for VQ3D

Jinjie Mai, Chen Zhao, Abdullah Hamdi +2

Visual queries 3D localization (VQ3D) is a task in the Ego4D Episodic Memory Benchmark. Given an egocentric video, the goal is to answer queries of the form "Where did I last see o…

cs.CV202237 cited

SoccerNet 2022 Challenges Results

Silvio Giancola, Anthony Cioppa, Adrien Deliège +91

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…

cs.CV20225 cited

3DeformRS: Certifying Spatial Deformations on Point Clouds

Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra +2

3D computer vision models are commonly used in security-critical applications such as autonomous driving and surgical robotics. Emerging concerns over the robustness of these model…

cs.CV2022

Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders

Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang +4

Hyperspectral imaging has attracted significant attention to identify spectral signatures for image classification and automated pattern recognition in computer vision. State-of-th…

cs.CV20212 cited

Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting

Anthony Cioppa, Adrien Deliège, Floriane Magera +4

Soccer broadcast video understanding has been drawing a lot of attention in recent years within data scientists and industrial companies. This is mainly due to the lucrative potent…