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Garrick Brazil
Garrick Brazil
Computer Scientist
Bestätigte E-Mail-Adresse bei msu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
M3d-rpn: Monocular 3d region proposal network for object detection
G Brazil, X Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
4942019
Illuminating Pedestrians via Simultaneous Detection & Segmentation
G Brazil, X Yin, X Liu
In Proceeding of International Conference on Computer Vision, 2017
3102017
Kinematic 3d object detection in monocular video
G Brazil, G Pons-Moll, X Liu, B Schiele
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1632020
The edge of depth: Explicit constraints between segmentation and depth
S Zhu, G Brazil, X Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1162020
Groomed-nms: Grouped mathematically differentiable nms for monocular 3d object detection
A Kumar, G Brazil, X Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
912021
Pedestrian detection with autoregressive network phases
G Brazil, X Liu
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2019
912019
Recurrent flow-guided semantic forecasting
A Terwilliger, G Brazil, X Liu
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1703-1712, 2019
542019
Deviant: Depth equivariant network for monocular 3d object detection
A Kumar, G Brazil, E Corona, A Parchami, X Liu
European Conference on Computer Vision, 664-683, 2022
522022
Omni3d: A large benchmark and model for 3d object detection in the wild
G Brazil, A Kumar, J Straub, N Ravi, J Johnson, G Gkioxari
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
402023
Camera self-calibration using human faces
M Hu, G Brazil, N Li, L Ren, X Liu
2023 IEEE 17th International Conference on Automatic Face and Gesture …, 2023
22023
Grouped Mathematical Differentiable NMS For Object Detection
X Liu, A Kumar, G Brazil
US Patent App. 17/677,193, 2022
2022
Object Detection from 2D to 3D
G Brazil
Michigan State University, 2021
2021
Supplementary Material: Kinematic 3D Object Detection in Monocular Video
G Brazil, G Pons-Moll, X Liu, B Schiele
Supplementary Material: The Edge of Depth: Explicit Constraints between Segmentation and Depth
S Zhu, G Brazil, X Liu
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