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08/22/2022
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking
Recent research in multi-task learning reveals the benefit of solving re...
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06/22/2020
Generative Sparse Detection Networks for 3D Single-shot Object Detection
3D object detection has been widely studied due to its potential applica...
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02/19/2020
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
An autonomous navigating agent needs to perceive and track the motion of...
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10/25/2019
JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments
We present JRDB, a novel dataset collected from our social mobile manipu...
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10/06/2019
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera
A comprehensive semantic understanding of a scene is important for many ...
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04/18/2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
In many robotics and VR/AR applications, 3D-videos are readily-available...
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02/25/2019
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Intersection over Union (IoU) is the most popular evaluation metric used...
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10/20/2017
SEGCloud: Semantic Segmentation of 3D Point Clouds
3D semantic scene labeling is fundamental to agents operating in the rea...
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08/11/2017
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image
3D reconstruction from a single image is a key problem in multiple appli...
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05/31/2017
Weakly supervised 3D Reconstruction with Adversarial Constraint
Supervised 3D reconstruction has witnessed a significant progress throug...
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06/11/2016
Universal Correspondence Network
We present a deep learning framework for accurate visual correspondences...
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04/02/2016