Eduardo R. Corral-Soto

According to our database, Eduardo R. Corral-Soto authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

3DArticCyclists: Generating Simulated Dynamic 3D Cyclists for Human-Object Interaction (HOI) and Autonomous Driving Applications.

Eduardo R. Corral-Soto, Yang Liu, Tongtong Cao, Yuan Ren, Liu Bingbing

CoRR, 2024

Analysis of a Modular Autonomous Driving Architecture: The Top Submission to CARLA Leaderboard 2.0 Challenge.

Weize Zhang, Mohammed Elmahgiubi, Kasra Rezaee, Behzad Khamidehi, Hamidreza Mirkhani, Fazel Arasteh, Chunlin Li, Muhammad Ahsan Kaleem, Eduardo R. Corral-Soto, Dhruv Sharma, Tongtong Cao

CoRR, 2024

Gradual Batch Alternation for Effective Domain Adaptation in LiDAR-Based 3D Object Detection.

Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Effects of Range-based LiDAR Point Cloud Density Manipulation on 3D Object Detection.

Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

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

Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu

CoRR, 2023

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

Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Xingxin Chen, Shubhra Aich, Bingbing Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

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

Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu

CoRR, 2022

HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation.

Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Bingbing Liu

CoRR, 2022

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

Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

LiDAR few-shot domain adaptation via integrated CycleGAN and 3D object detector with joint learning delay.

Eduardo R. Corral-Soto, Amir Nabatchian, Martin Gerdzhev, Bingbing Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Understanding Strengths and Weaknesses of Complementary Sensor Modalities in Early Fusion for Object Detection.

Eduardo R. Corral-Soto, Bingbing Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2017

Slot Cars: 3D Modelling for Improved Visual Traffic Analytics.

Eduardo R. Corral-Soto, James H. Elder

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2014

Automatic Single-View Calibration and Rectification from Parallel Planar Curves.

Eduardo R. Corral-Soto, James H. Elder

Proceedings of the Computer Vision - ECCV 2014, 2014

2012

3DTown: The automatic urban awareness project.

Eduardo R. Corral-Soto, Ron Tal, Larry Wang, Ravi Ancil Persad, Luo Chao, Chan Solomon, Bob Hou, Gunho Sohn, James H. Elder

Proceedings of the 2012 IEEE Virtual Reality, 2012

3D Town: The Automatic Urban Awareness Project.

Eduardo R. Corral-Soto, Ron Tal, Langyue Wang, Ravi Ancil Persad, Luo Chao, Chan Solomon, Bob Hou, Gunho Sohn, James H. Elder

Proceedings of the Ninth Conference on Computer and Robot Vision, 2012