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08/15/2023
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
Jointly processing information from multiple sensors is crucial to achie...
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06/30/2023
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying
Motion prediction is crucial for autonomous driving systems to understan...
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06/09/2023
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses
3D multi-object tracking (MOT) is vital for many applications including ...
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05/08/2023
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding
Masked signal modeling has greatly advanced self-supervised pre-training...
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04/09/2023
Sparse Dense Fusion for 3D Object Detection
With the prevalence of multimodal learning, camera-LiDAR fusion has gain...
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03/04/2023
Virtual Sparse Convolution for Multimodal 3D Object Detection
Recently, virtual/pseudo-point-based 3D object detection that seamlessly...
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01/15/2023
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
Designing an efficient yet deployment-friendly 3D backbone to handle spa...
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12/14/2022
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
Although DETR-based 3D detectors can simplify the detection pipeline and...
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10/09/2022
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
We present a novel two-stage fully sparse convolutional 3D object detect...
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09/27/2022
Motion Transformer with Global Intention Localization and Local Movement Refinement
Predicting multimodal future behavior of traffic participants is essenti...
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09/20/2022
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge – Motion Prediction
In this report, we present the 1st place solution for motion prediction ...
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06/19/2022
3D Object Detection for Autonomous Driving: A Review and New Outlooks
Autonomous driving, in recent years, has been receiving increasing atten...
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05/30/2022
Towards Efficient 3D Object Detection with Knowledge Distillation
Despite substantial progress in 3D object detection, advanced 3D detecto...
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05/12/2022
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection
Accurate and reliable 3D detection is vital for many applications includ...
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04/05/2022
RBGNet: Ray-based Grouping for 3D Object Detection
As a fundamental problem in computer vision, 3D object detection is expe...
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10/15/2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Rapid progress in 3D semantic segmentation is inseparable from the advan...
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08/18/2021
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
Stereo-based 3D detection aims at detecting 3D object bounding boxes fro...
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08/15/2021
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
In this paper, we present a self-training method, named ST3D++, with a h...
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04/13/2021
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
3D object detection in point clouds is a challenging vision task that be...
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03/09/2021
ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection
We present a new domain adaptive self-training pipeline, named ST3D, for...
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01/31/2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
3D object detection is receiving increasing attention from both industry...
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12/31/2020
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Recent advances on 3D object detection heavily rely on how the 3D data a...
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08/28/2020
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges
In this technical report, we present the top-performing LiDAR-only solut...
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04/03/2020
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Instance segmentation is an important task for scene understanding. Comp...
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02/13/2020
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
3D vehicle detection based on point cloud is a challenging task in real-...
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12/31/2019
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
We present a novel and high-performance 3D object detection framework, n...
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07/08/2019
Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud
In this paper, we propose the part-aware and aggregation neural network ...
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03/28/2019
Feature Intertwiner for Object Detection
A well-trained model should classify objects with a unanimous score for ...
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12/11/2018