Lai Xing Ng

According to our database, Lai Xing Ng authored at least 24 papers between 2019 and 2026.

Collaborative distances:

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

2026

Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer.

Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, April, 2026

SpikeCLR: Contrastive Self-Supervised Learning for Few-Shot Event-Based Vision using Spiking Neural Networks.

Maxime Vaillant, Axel Carlier, Lai Xing Ng, Christophe Hurter, Benoit R. Cottereau

CoRR, March, 2026

Learning-to-Defer with Expert-Conditioned Advice.

Yannis Montreuil, Leïna Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, March, 2026

Learning to Defer in Non-Stationary Time Series via Switching State-Space Models.

Yannis Montreuil, Letian Yu, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, January, 2026

The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms.

Lingdong Kong, Shaoyuan Xie, Zeying Gong, Ye Li, Meng Chu, Ao Liang, Yuhao Dong, Tianshuai Hu, Ronghe Qiu, Rong Li, Hanjiang Hu, Dongyue Lu, Wei Yin, Wenhao Ding, Linfeng Li, Hang Song, Wenwei Zhang, Yuexin Ma, Junwei Liang, Zhedong Zheng, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi, Ziwei Liu

CoRR, January, 2026

Automated Multi-Camera Inspection System for Aircraft.

Mark D. Rice, Ying Gu, Kelvin Wei Lim, Qing Yu Hoo, Liyuan Li, Lee Jue Ying, Jacky Jie Wei Tan, Lai Xing Ng, Jamie Ng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MemoVision: A Digital Catalog for Everyday Interactions.

Lai Xing Ng, Keith Tien Wei Tang, Jacky Jie Wei Tan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World.

Ao Liang, Lingdong Kong, Tianyi Yan, Hongsi Liu, Wesley Yang, Ziqi Huang, Wei Yin, Jialong Zuo, Yixuan Hu, Dekai Zhu, Dongyue Lu, Youquan Liu, Guangfeng Jiang, Linfeng Li, Xiangtai Li, Long Zhuo, Lai Xing Ng, Benoit R. Cottereau, Changxin Gao, Liang Pan, Wei Tsang Ooi, Ziwei Liu

CoRR, December, 2025

Learning to Remove Lens Flare in Event Camera.

Haiqian Han, Lingdong Kong, Jianing Li, Ao Liang, Chengtao Zhu, Jiacheng Lyu, Lai Xing Ng, Xiangyang Ji, Wei Tsang Ooi, Benoit R. Cottereau

CoRR, December, 2025

Adversarial Robustness in One-Stage Learning-to-Defer.

Yannis Montreuil, Letian Yu, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, October, 2025

Visual Grounding from Event Cameras.

Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau

CoRR, September, 2025

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras.

Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau

CoRR, July, 2025

Why Ask One When You Can Ask <i>k</i>? Two-Stage Learning-to-Defer to the Top-<i>k</i> Experts.

Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, April, 2025

Interactive Content Retrieval in Egocentric Videos Based on Vague Semantic Queries.

Linda Ablaoui, Wilson Estécio Marcílio-Jr, Lai Xing Ng, Christophe Jouffrais, Christophe Hurter

Multimodal Technol. Interact., 2025

A Two-Stage Learning-to-Defer Approach for Multi-Task Learning.

Yannis Montreuil, Yeo Shu Heng, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees.

Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

EventFly: Event Camera Perception from Ground to the Sky.

Lingdong Kong, Dongyue Lu, Xiang Xu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Learning-to-Defer for Extractive Question Answering.

Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, 2024

Two-stage Learning-to-Defer for Multi-Task Learning.

Yannis Montreuil, Yeo Shu Heng, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu

CoRR, 2024

OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies.

Lingdong Kong, Youquan Liu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.

Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu

CoRR, 2023

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions.

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit Cottereau, Wei Tsang Ooi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2019

Using Visual Intelligence to Automate Maintenance Task Guidance and Monitoring on a Head-mounted Display.

Lai Xing Ng, Jamie Ng, Keith T. W. Tang, Liyuan Li, Mark D. Rice, Marcus Wan

Proceedings of the ICRAI 2019: 5th International Conference on Robotics and Artificial Intelligence, 2019