2 code implementations • 21 Jul 2022 • Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu
As a result, DEVIANT is equivariant to the depth translations in the projective manifold whereas vanilla networks are not.
3D Object Detection From Monocular Images Monocular 3D Object Detection
1 code implementation • CVPR 2023 • Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari
In 3D, existing benchmarks are small in size and approaches specialize in few object categories and specific domains, e. g. urban driving scenes.
3D Object Detection 3D Object Detection From Monocular Images +2
1 code implementation • CVPR 2021 • Abhinav Kumar, Garrick Brazil, Xiaoming Liu
In this paper, we present and integrate GrooMeD-NMS -- a novel Grouped Mathematically Differentiable NMS for monocular 3D object detection, such that the network is trained end-to-end with a loss on the boxes after NMS.
Ranked #10 on 3D Object Detection From Monocular Images on KITTI-360
3D Object Detection From Monocular Images Monocular 3D Object Detection +2
2 code implementations • ECCV 2020 • Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele
In this work, we propose a novel method for monocular video-based 3D object detection which carefully leverages kinematic motion to improve precision of 3D localization.
Ranked #6 on 3D Object Detection on Rope3D
1 code implementation • CVPR 2020 • Shengjie Zhu, Garrick Brazil, Xiaoming Liu
In this work we study the mutual benefits of two common computer vision tasks, self-supervised depth estimation and semantic segmentation from images.
4 code implementations • ICCV 2019 • Garrick Brazil, Xiaoming Liu
Understanding the world in 3D is a critical component of urban autonomous driving.
3D Object Detection From Monocular Images Autonomous Driving +5
1 code implementation • CVPR 2019 • Garrick Brazil, Xiaoming Liu
We present an autoregressive pedestrian detection framework with cascaded phases designed to progressively improve precision.
1 code implementation • 21 Sep 2018 • Adam M. Terwilliger, Garrick Brazil, Xiaoming Liu
Understanding the world around us and making decisions about the future is a critical component to human intelligence.
2 code implementations • ICCV 2017 • Garrick Brazil, Xi Yin, Xiaoming Liu
When placed properly, the additional supervision helps guide features in shared layers to become more sophisticated and helpful for the downstream pedestrian detector.
Ranked #20 on Pedestrian Detection on Caltech