June Moh Goo

According to our database, June Moh Goo authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Faster or Stronger: Towards Flexible Visual Place Recognition via Weighted Aggregation and Token Pruning.

Zichao Zeng, June Moh Goo, Junwei Zheng, Weijia Fan, Jiaming Zhang, Rainer Stiefelhagen, Jan Boehm

CoRR, May, 2026

Data-Centric Benchmark for Label Noise Estimation and Ranking in Remote Sensing Image Segmentation.

Keiller Nogueira, Codrut-Andrei Diaconu, Dávid Kerekes, Jakob Gawlikowski, Cédric Léonard, Nassim Ait Ali Braham, June Moh Goo, Zichao Zeng, Zhipeng Liu, Pallavi Jain, Andrea Nascetti, Ronny Hänsch

CoRR, March, 2026

Dilated Superpixel Aggregation for Visual Place Recognition.

Zichao Zeng, June Moh Goo, Jan Boehm

IEEE Robotics Autom. Lett., February, 2026

A Comprehensive Survey on Deep Learning-Based LiDAR Super-Resolution for Autonomous Driving.

June Moh Goo, Zichao Zeng, Jan Boehm

CoRR, February, 2026

2025

Real-Time LiDAR Super-Resolution via Frequency-Aware Multi-Scale Fusion.

June Moh Goo, Zichao Zeng, Jan Böhm

CoRR, November, 2025

Exploring Single Domain Generalization of LiDAR-based Semantic Segmentation under Imperfect Labels.

Weitong Kong, Zichao Zeng, Di Wen, Jiale Wei, Kunyu Peng, June Moh Goo, Jan Böhm, Rainer Stiefelhagen

CoRR, October, 2025

Checkerboard Target Measurement in Unordered Point Clouds with Coloured ICP.

June Moh Goo, Jialun Li, Darmawan Wicaksono, Jan Boehm

CoRR, February, 2025

V-RoAst: Visual Road Assessment Can VLM be a Road Safety Assessor using the iRAP Standard?

Natchapon Jongwiriyanurak, Zichao Zeng, June Moh Goo, Xinglei Wang, Ilya Ilyankou, Kerkritt Srirrongvikrai, Nicola Christie, Meihui Wang, Huanfa Chen, James Haworth

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Early Detection of Disaster Events in Tweet Streams via NLP-Based Distributional Shift Analysis Using Conformal Predictors and Martingale Theory.

Donghun Lee, June Moh Goo

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure.

June Moh Goo, Xenios Milidonis, Alessandro Artusi, Jan Boehm, Carlo Ciliberto

CoRR, 2024

V-RoAst: A New Dataset for Visual Road Assessment.

Natchapon Jongwiriyanurak, Zichao Zeng, June Moh Goo, Xinglei Wang, Ilya Ilyankou, Kerkritt Srirrongvikrai, Meihui Wang, James Haworth

CoRR, 2024

Zero-shot detection of buildings in mobile LiDAR using Language Vision Model.

June Moh Goo, Zichao Zeng, Jan Boehm

CoRR, 2024

Zero-shot Building Age Classification from Facade Image Using GPT-4.

Zichao Zeng, June Moh Goo, Xinglei Wang, Bin Chi, Meihui Wang, Jan Boehm

CoRR, 2024

Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion Maps.

June Moh Goo

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Socio-Economic Deprivation Analysis: Diffusion Maps.

June Moh Goo

CoRR, 2023