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03/28/2023
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
In this paper, we develop rotation-equivariant neural networks for 4D pa...
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01/04/2023
MonoEdge: Monocular 3D Object Detection Using Local Perspectives
We propose a novel approach for monocular 3D object detection by leverag...
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07/10/2022
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection
Monocular 3D object detection is an essential perception task for autono...
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06/11/2022
E^2PN: Efficient SE(3)-Equivariant Point Network
This paper proposes a new point-cloud convolution structure that learns ...
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07/21/2021
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
This paper proposes a correspondence-free method for point cloud rotatio...
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07/07/2021
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars
A unified neural network structure is presented for joint 3D object dete...
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05/01/2021
Lite-FPN for Keypoint-based Monocular 3D Object Detection
3D object detection with a single image is an essential and challenging ...
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03/29/2021
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography
This paper proposes a method to extract the position and pose of vehicle...
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11/04/2020
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss
Object detection and tracking is a key task in autonomy. Specifically, 3...
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03/21/2020
Monocular Depth Prediction Through Continuous 3D Loss
This paper reports a new continuous 3D loss function for learning depth ...
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12/12/2019