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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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05/19/2023
The Waymo Open Sim Agents Challenge
Simulation with realistic, interactive agents represents a key task for ...
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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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12/21/2022
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Imitation learning (IL) is a simple and powerful way to use high-quality...
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12/16/2022
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving
We propose JFP, a Joint Future Prediction model that can learn to genera...
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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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10/24/2022
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations
Data augmentations are important in training high-performance 3D object ...
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10/18/2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
We demonstrate the first large-scale application of model-based generati...
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10/17/2022
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection
Robust 3D object detection is critical for safe autonomous driving. Came...
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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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10/13/2022
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds
3D object detection in point clouds is a core component for modern robot...
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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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06/15/2022
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection
The popular object detection metric 3D Average Precision (3D AP) relies ...
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06/15/2022
Waymo Open Dataset: Panoramic Video Panoptic Segmentation
Panoptic image segmentation is the computer vision task of finding group...
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06/08/2022
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
Monocular image-based 3D perception has become an active research area i...
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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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06/02/2022
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving
We introduce a motion forecasting (behavior prediction) method that meet...
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05/11/2022
Multi-Class 3D Object Detection with Single-Class Supervision
While multi-class 3D detectors are needed in many robotics applications,...
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05/06/2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation
Simulation is a crucial tool for accelerating the development of autonom...
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04/26/2022
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Cross-entropy loss and focal loss are the most common choices when train...
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03/08/2022
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving
We propose Occupancy Flow Fields, a new representation for motion foreca...
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01/16/2022
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting
We propose GradTail, an algorithm that uses gradients to improve model p...
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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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11/29/2021
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Predicting the future behavior of road users is one of the most challeng...
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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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06/28/2021
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
High Definition (HD) maps are maps with precise definitions of road lane...
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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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04/20/2021
Identifying Driver Interactions via Conditional Behavior Prediction
Interactive driving scenarios, such as lane changes, merges and unprotec...
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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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10/14/2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
The vast majority of deep models use multiple gradient signals, typicall...
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08/19/2020
TNT: Target-driveN Trajectory Prediction
Predicting the future behavior of moving agents is essential for real wo...
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05/20/2020
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
This paper presents a novel 3D object detection framework that processes...
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05/08/2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Behavior prediction in dynamic, multi-agent systems is an important prob...
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05/08/2020
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
Detecting pedestrians and predicting future trajectories for them are cr...
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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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04/02/2020
Improving 3D Object Detection through Progressive Population Based Augmentation
Data augmentation has been widely adopted for object detection in 3D poi...
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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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10/12/2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Predicting human behavior is a difficult and crucial task required for m...
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11/29/2017
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
We present PointFusion, a generic 3D object detection method that levera...
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12/01/2016
3D Bounding Box Estimation Using Deep Learning and Geometry
We present a method for 3D object detection and pose estimation from a s...
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12/08/2015
SSD: Single Shot MultiBox Detector
We present a method for detecting objects in images using a single deep ...
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12/20/2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Current state-of-the-art deep learning systems for visual object recogni...
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12/20/2014
