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Eduardo R. Corral-Soto
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2020 – today
- 2024
- [c10]Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu:
Gradual Batch Alternation for Effective Domain Adaptation in LiDAR-Based 3D Object Detection. IV 2024: 2213-2219 - [c9]Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu:
Effects of Range-based LiDAR Point Cloud Density Manipulation on 3D Object Detection. IV 2024: 3166-3172 - [i6]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:
Analysis of a Modular Autonomous Driving Architecture: The Top Submission to CARLA Leaderboard 2.0 Challenge. CoRR abs/2405.01394 (2024) - [i5]Eduardo R. Corral-Soto, Yang Liu, Tongtong Cao, Yuan Ren, Liu Bingbing:
3DArticCyclists: Generating Simulated Dynamic 3D Cyclists for Human-Object Interaction (HOI) and Autonomous Driving Applications. CoRR abs/2410.10782 (2024) - 2023
- [c8]Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Xingxin Chen, Shubhra Aich, Bingbing Liu:
Domain Adaptation in LiDAR Semantic Segmentation via Hybrid Learning with Alternating Skip Connections. IV 2023: 1-7 - [i4]Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu:
Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization. CoRR abs/2306.05663 (2023) - 2022
- [c7]Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu:
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters. ICRA 2022: 2649-2655 - [i3]Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Bingbing Liu:
HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation. CoRR abs/2201.05585 (2022) - [i2]Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu:
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training. CoRR abs/2210.10180 (2022) - 2021
- [c6]Eduardo R. Corral-Soto, Amir Nabatchian, Martin Gerdzhev, Bingbing Liu:
LiDAR few-shot domain adaptation via integrated CycleGAN and 3D object detector with joint learning delay. ICRA 2021: 13099-13105 - [i1]Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu:
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters. CoRR abs/2107.09783 (2021) - 2020
- [c5]Eduardo R. Corral-Soto, Bingbing Liu:
Understanding Strengths and Weaknesses of Complementary Sensor Modalities in Early Fusion for Object Detection. IV 2020: 1785-1792
2010 – 2019
- 2017
- [c4]Eduardo R. Corral-Soto, James H. Elder:
Slot Cars: 3D Modelling for Improved Visual Traffic Analytics. CVPR Workshops 2017: 889-897 - 2014
- [c3]Eduardo R. Corral-Soto, James H. Elder:
Automatic Single-View Calibration and Rectification from Parallel Planar Curves. ECCV (4) 2014: 813-827 - 2012
- [c2]Eduardo R. Corral-Soto, Ron Tal, Langyue Wang, Ravi Ancil Persad, Luo Chao, Chan Solomon, Bob Hou, Gunho Sohn, James H. Elder:
3D Town: The Automatic Urban Awareness Project. CRV 2012: 433-440 - [c1]Eduardo R. Corral-Soto, Ron Tal, Larry Wang, Ravi Ancil Persad, Luo Chao, Chan Solomon, Bob Hou, Gunho Sohn, James H. Elder:
3DTown: The automatic urban awareness project. VR 2012: 87-88
Coauthor Index
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