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2011.10174
Cited By

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

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

ACM Symposium on User Interface Software and Technology (UIST), 2020

20 November 2020

Conghui He

Zhe Wang

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data

JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World DataComputer Vision and Pattern Recognition (CVPR), 2025

321

2

0

11 Mar 2025

Towards Transferable Multi-modal Perception Representation Learning for
Autonomy: NeRF-Supervised Masked AutoEncoder

Towards Transferable Multi-modal Perception Representation Learning for Autonomy: NeRF-Supervised Masked AutoEncoder

390

0

0

23 Nov 2023

PALF: Pre-Annotation and Camera-LiDAR Late Fusion for the Easy
Annotation of Point Clouds

PALF: Pre-Annotation and Camera-LiDAR Late Fusion for the Easy Annotation of Point Clouds

Takayoshi Yamashita

207

1

0

13 Apr 2023

Probabilistic and Geometric Depth: Detecting Objects in Perspective

Probabilistic and Geometric Depth: Detecting Objects in PerspectiveConference on Robot Learning (CoRL), 2021

Xinge Zhu

310

355

0

29 Jul 2021

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