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07/21/2022
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
Modern neural networks use building blocks such as convolutions that are...
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07/21/2022
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
Recognizing scenes and objects in 3D from a single image is a longstandi...
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03/31/2021
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
Modern 3D object detectors have immensely benefited from the end-to-end ...
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07/19/2020
Kinematic 3D Object Detection in Monocular Video
Perceiving the physical world in 3D is fundamental for self-driving appl...
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04/01/2020
The Edge of Depth: Explicit Constraints between Segmentation and Depth
In this work we study the mutual benefits of two common computer vision ...
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07/13/2019
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
Understanding the world in 3D is a critical component of urban autonomou...
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12/02/2018
Pedestrian Detection with Autoregressive Network Phases
We present an autoregressive pedestrian detection framework with cascade...
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09/21/2018
Recurrent Flow-Guided Semantic Forecasting
Understanding the world around us and making decisions about the future ...
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06/26/2017