Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization

no code implementations • 9 Jun 2023 • Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu

In recent years, much progress has been made in LiDAR-based 3D object detection mainly due to advances in detector architecture designs and availability of large-scale LiDAR datasets.

3D Object Detection Data Augmentation +2

Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training

no code implementations • 18 Oct 2022 • Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu

The idea is to initiate the training with the batch of samples from the source and target domain data in an alternate fashion, but then gradually reduce the amount of the source domain data over time as the training progresses.

3D Object Detection Autonomous Driving +3

Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning

no code implementations • 14 Jan 2022 • Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Liu Bingbing

We consider the setting where we have a fully-labeled data set from source domain and a target domain with a few labeled and many unlabeled examples.

Domain Adaptation Image-to-Image Translation +4

Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters

no code implementations • 20 Jul 2021 • Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu

In this paper, we focus on a less explored, but more realistic and complex problem of domain adaptation in LiDAR semantic segmentation.

LIDAR Semantic Segmentation Segmentation +2