Tai Wang | DeepAI

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∙ 09/18/2023

Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection

Point cloud-based open-vocabulary 3D object detection aims to detect 3D ...

0 Chenming Zhu, et al. ∙

∙ 09/14/2023

Unified Human-Scene Interaction via Prompted Chain-of-Contacts

Human-Scene Interaction (HSI) is a vital component of fields like embodi...

0 Zeqi Xiao, et al. ∙

∙ 06/05/2023

Scene as Occupancy

Human driver can easily describe the complex traffic scene by visual sys...

0 Wenwen Tong, et al. ∙

∙ 03/29/2023

DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking

Recent multi-camera 3D object detectors usually leverage temporal inform...

0 Qing Lian, et al. ∙

∙ 03/23/2023

MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training

This paper introduces the Masked Voxel Jigsaw and Reconstruction (MV-JAR...

1 Runsen Xu, et al. ∙

∙ 03/23/2023

Position-Guided Point Cloud Panoptic Segmentation Transformer

DEtection TRansformer (DETR) started a trend that uses a group of learna...

1 Zeqi Xiao, et al. ∙

∙ 08/04/2022

Vision-Centric BEV Perception: A Survey

Vision-centric BEV perception has recently received increased attention ...

10 Yuexin Ma, et al. ∙

∙ 07/26/2022

Monocular 3D Object Detection with Depth from Motion

Perceiving 3D objects from monocular inputs is crucial for robotic syste...

14 Tai Wang, et al. ∙

∙ 07/26/2022

MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones

In this technical report, we present our solution, dubbed MV-FCOS3D++, f...

3 Tai Wang, et al. ∙

∙ 03/24/2022

MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection

Monocular 3D object detection has long been a challenging task in autono...

0 Renrui Zhang, et al. ∙

∙ 11/24/2021

Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion

Chamfer Distance (CD) and Earth Mover's Distance (EMD) are two broadly a...

0 Tong Wu, et al. ∙

∙ 09/12/2021

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception

State-of-the-art methods for driving-scene LiDAR-based perception (inclu...

0 Xinge Zhu, et al. ∙

∙ 08/22/2021

SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation

3D detection plays an indispensable role in environment perception. Due ...

0 Xidong Peng, et al. ∙

∙ 07/29/2021

Probabilistic and Geometric Depth: Detecting Objects in Perspective

3D object detection is an important capability needed in various practic...

9 Tai Wang, et al. ∙

∙ 04/22/2021

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Monocular 3D object detection is an important task for autonomous drivin...

0 Tai Wang, et al. ∙

∙ 11/20/2020

FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds

Recent years have witnessed the rapid progress of perception algorithms ...

8 Tai Wang, et al. ∙

∙ 11/19/2020

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

State-of-the-art methods for large-scale driving-scene LiDAR segmentatio...

0 Xinge Zhu, et al. ∙

∙ 04/06/2020

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

Multi-class 3D object detection aims to localize and classify objects of...

0 Xinge Zhu, et al. ∙

∙ 04/06/2020

Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds

LiDAR is an important method for autonomous driving systems to sense the...

0 Tai Wang, et al. ∙

∙ 02/12/2016

An Empirical Study on Academic Commentary and Its Implications on Reading and Writing

The relationship between reading and writing (RRW) is one of the major t...

0 Tai Wang, et al. ∙

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