Search Results for author: Robert Laganiere

Found 8 papers, 1 papers with code

RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users

1 code implementation2 May 2021 Ao Zhang, Farzan Erlik Nowruzi, Robert Laganiere

In this paper, we collect a novel radar dataset that contains radar data in the form of Range-Azimuth-Doppler tensors along with the bounding boxes on the tensor for dynamic road users, category labels, and 2D bounding boxes on the Cartesian Bird-Eye-View range map.

object-detection Object Detection +1

Deep Open Space Segmentation using Automotive Radar

no code implementations18 Mar 2020 Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Fahed Al Hassanat, Elnaz Jahani Heravi, Robert Laganiere, Julien Rebut, Waqas Malik

In this work, we propose the use of radar with advanced deep segmentation models to identify open space in parking scenarios.

Multi-scale prediction for robust hand detection and classification

no code implementations23 Apr 2018 Ding Lu, Yong Wang, Robert Laganiere, Xinbin Luo, Shan Fu

In this paper, we present a multi-scale Fully Convolutional Networks (MSP-RFCN) to robustly detect and classify human hands under various challenging conditions.

Classification General Classification +1

Gradient Boundary Histograms for Action Recognition

no code implementations3 Dec 2014 Feng Shi, Robert Laganiere, Emil Petriu

This paper introduces a high efficient local spatiotemporal descriptor, called gradient boundary histograms (GBH).

Action Recognition

Sampling Strategies for Real-Time Action Recognition

no code implementations CVPR 2013 Feng Shi, Emil Petriu, Robert Laganiere

We present a real-time action recognition system which integrates fast random sampling method with local spatio-temporal features extracted from a Local Part Model.

Action Recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.