Lai Xing Ng - RankMe

27 papers A* 7Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Automated Multi-Camera Inspection System for Aircraft. AAAI 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
2026	J	`jnl`	Learning to Defer in Non-Stationary Time Series via Switching State-Space Models. CoRR Yannis Montreuil, Letian Yu, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2026	J	`jnl`	Learning-to-Defer with Expert-Conditioned Advice. CoRR Yannis Montreuil, Leïna Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2026	A*	`conf`	MemoVision: A Digital Catalog for Everyday Interactions. AAAI Lai Xing Ng, Keith Tien Wei Tang, Jacky Jie Wei Tan
2026	J	`jnl`	SpikeCLR: Contrastive Self-Supervised Learning for Few-Shot Event-Based Vision using Spiking Neural Networks. CoRR Maxime Vaillant, Axel Carlier, Lai Xing Ng, Christophe Hurter, Benoit R. Cottereau
2026	J	`jnl`	The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms. CoRR 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
2025	A*	`conf`	A Two-Stage Learning-to-Defer Approach for Multi-Task Learning. ICML Yannis Montreuil, Yeo Shu Heng, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2025	J	`jnl`	Adversarial Robustness in One-Stage Learning-to-Defer. CoRR Yannis Montreuil, Letian Yu, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2025	A*	`conf`	Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees. ICML Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2025	J	`jnl`	Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees. CoRR Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2025	A*	`conf`	EventFly: Event Camera Perception from Ground to the Sky. CVPR Lingdong Kong, Dongyue Lu, Xiang Xu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau
2025	J	`jnl`	EventFly: Event Camera Perception from Ground to the Sky. CoRR Lingdong Kong, Dongyue Lu, Xiang Xu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau
2025	J	`jnl`	Interactive Content Retrieval in Egocentric Videos Based on Vague Semantic Queries. Multimodal Technol. Interact. Linda Ablaoui, Wilson Estécio Marcílio-Jr, Lai Xing Ng, Christophe Jouffrais, Christophe Hurter
2025	J	`jnl`	Learning to Remove Lens Flare in Event Camera. CoRR Haiqian Han, Lingdong Kong, Jianing Li, Ao Liang, Chengtao Zhu, Jiacheng Lyu, Lai Xing Ng, Xiangyang Ji, Wei Tsang Ooi, Benoit R. Cottereau
2025	J	`jnl`	Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras. CoRR Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau
2025	J	`jnl`	Visual Grounding from Event Cameras. CoRR Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau
2025	J	`jnl`	Why Ask One When You Can Ask CoRR Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2025	J	`jnl`	WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World. CoRR 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
2024	J	`jnl`	Learning-to-Defer for Extractive Question Answering. CoRR Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2024	A*	`conf`	OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies. CVPR Lingdong Kong, Youquan Liu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi
2024	J	`jnl`	OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies. CoRR Lingdong Kong, Youquan Liu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi
2024	J	`jnl`	The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR 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
2024	J	`jnl`	Two-stage Learning-to-Defer for Multi-Task Learning. CoRR Yannis Montreuil, Yeo Shu Heng, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2023	A*	`conf`	RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions. NeurIPS Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit Cottereau, Wei Tsang Ooi
2023	J	`jnl`	RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions. CoRR Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi
2023	J	`jnl`	The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR 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
2019	—	`conf`	Using Visual Intelligence to Automate Maintenance Task Guidance and Monitoring on a Head-mounted Display. ICRAI Lai Xing Ng, Jamie Ng, Keith T. W. Tang, Liyuan Li, Mark D. Rice, Marcus Wan