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06/07/2023
3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels
Training a 3D human keypoint detector from point clouds in a supervised ...
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06/05/2023
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
Occluded and long-range objects are ubiquitous and challenging for 3D ob...
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06/05/2023
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion
We present MotionDiffuser, a diffusion based representation for the join...
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04/04/2023
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild
Modeling the 3D world from sensor data for simulation is a scalable way ...
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12/15/2022
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving
Autonomous driving is an exciting new industry, posing important researc...
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12/06/2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
2D-to-3D reconstruction is an ill-posed problem, yet humans are good at ...
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10/15/2022
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining
Continued improvements in deep learning architectures have steadily adva...
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10/14/2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
Semantic segmentation of LiDAR point clouds is an important task in auto...
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10/14/2022
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving
Learning-based perception and prediction modules in modern autonomous dr...
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10/10/2022
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
Developing neural models that accurately understand objects in 3D point ...
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06/02/2022
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding
Lidars are depth measuring sensors widely used in autonomous driving and...
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12/14/2021
Revisiting 3D Object Detection From an Egocentric Perspective
3D object detection is a key module for safety-critical robotics applica...
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08/15/2021
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
In autonomous driving, a LiDAR-based object detector should perform reli...
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04/20/2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
As autonomous driving systems mature, motion forecasting has received in...
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03/30/2021
3D-MAN: 3D Multi-frame Attention Network for Object Detection
3D object detection is an important module in autonomous driving and rob...
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03/08/2021
Offboard 3D Object Detection from Point Cloud Sequences
While current 3D object recognition research mostly focuses on the real-...
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05/08/2020
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
Autonomous driving system development is critically dependent on the abi...
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12/10/2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
The research community has increasing interest in autonomous driving res...
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12/10/2019
Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
The research community has increasing interest in autonomous driving res...
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10/15/2019
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
Recent work on 3D object detection advocates point cloud voxelization in...
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08/29/2019
StarNet: Targeted Computation for Object Detection in Point Clouds
LiDAR sensor systems provide high resolution spatial information about t...
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04/02/2019
MVX-Net: Multimodal VoxelNet for 3D Object Detection
Many recent works on 3D object detection have focused on designing neura...
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11/17/2017