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09/05/2023
Diffusion-based 3D Object Detection with Random Boxes
3D object detection is an essential task for achieving autonomous drivin...
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06/04/2023
SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
With the development of large language models, many remarkable linguisti...
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05/17/2023
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes
Modern autonomous driving systems are typically divided into three main ...
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05/12/2023
Multi-Modal 3D Object Detection by Box Matching
Multi-modal 3D object detection has received growing attention as the in...
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04/10/2023
SOOD: Towards Semi-Supervised Oriented Object Detection
Semi-Supervised Object Detection (SSOD), aiming to explore unlabeled dat...
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04/09/2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
Supervised crowd counting relies heavily on costly manual labeling, whic...
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03/27/2023
ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box
Multi-object tracking (MOT) aims at estimating bounding boxes and identi...
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03/23/2023
Prior-free Category-level Pose Estimation with Implicit Space Transformation
Category-level 6D pose estimation aims to predict the poses and sizes of...
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03/17/2023
CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
In this paper, we address the problem of detecting 3D objects from multi...
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01/04/2023
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection
In this paper, we propose a cross-modal distillation method named Stereo...
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10/11/2022
Repainting and Imitating Learning for Lane Detection
Current lane detection methods are struggling with the invisibility lane...
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10/08/2022
Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth Estimation
Monocular depth estimation (MDE) in the self-supervised scenario has eme...
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09/28/2022
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
3D scenes are dominated by a large number of background points, which is...
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08/24/2022
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network
The human brain can effortlessly recognize and localize objects, whereas...
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07/12/2022
Paint and Distill: Boosting 3D Object Detection with Semantic Passing Network
3D object detection task from lidar or camera sensors is essential for a...
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06/15/2022
Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis
Recently, Neural Radiance Fields (NeRF) is revolutionizing the task of n...
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04/16/2022
GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation
Birds-eye-view (BEV) semantic segmentation is critical for autonomous dr...
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03/25/2022
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task
Concurrent perception datasets for autonomous driving are mainly limited...
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12/28/2021
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection
Low-cost monocular 3D object detection plays a fundamental role in auton...
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12/03/2021
SGM3D: Stereo Guided Monocular 3D Object Detection
Monocular 3D object detection is a critical yet challenging task for aut...
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04/22/2021
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting
Crowd counting has drawn much attention due to its importance in safety-...
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03/30/2021
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
The objective of this paper is to learn context- and depth-aware feature...
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06/08/2020
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection
Object detection from 3D point clouds remains a challenging task, though...
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03/01/2020