Search Results for author: Tong Heng Lee

Found 14 papers, 1 papers with code

Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention

no code implementations21 Feb 2023 Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Cheng Xiang, Tong Heng Lee

Moreover, a case study on practical CAM/CAD segmentation is presented to demonstrate the effectiveness of our approach for real-world applications.

Contrastive Learning Few-Shot Learning +2

Masked Self-Supervision for Remaining Useful Lifetime Prediction in Machine Tools

no code implementations4 Jul 2022 Haoren Guo, Haiyue Zhu, Jiahui Wang, Vadakkepat Prahlad, Weng Khuen Ho, Tong Heng Lee

With the availability of deep learning approaches, the great potential and prospect of utilizing these for RUL prediction have resulted in several models which are designed driven by operation data of manufacturing machines.

Self-Supervised Learning

CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning

no code implementations4 Jul 2022 Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Vadakkepat Prahlad, Tong Heng Lee

However, the disadvantage is that the resulting models from the fully-supervised learning methodology are highly reliant on the completeness of the available dataset, and its generalization ability is relatively poor to new unknown segmentation types (i. e. further additional novel classes).

3D Part Segmentation Few-Shot Learning +1

Incremental Few-Shot Learning via Implanting and Compressing

no code implementations19 Mar 2022 Yiting Li, Haiyue Zhu, Xijia Feng, Zilong Cheng, Jun Ma, Cheng Xiang, Prahlad Vadakkepat, Tong Heng Lee

Specifically, in the \textbf{Implanting} step, we propose to mimic the data distribution of novel classes with the assistance of data-abundant base set, so that a model could learn semantically-rich features that are beneficial for discriminating between the base and other unseen classes.

Few-Shot Learning Image Classification +2

Towards Generalized and Incremental Few-Shot Object Detection

no code implementations23 Sep 2021 Yiting Li, Haiyue Zhu, Jun Ma, Chek Sing Teo, Cheng Xiang, Prahlad Vadakkepat, Tong Heng Lee

We conduct experiments on both Pascal VOC and MS-COCO, which demonstrate that our method can effectively solve the problem of incremental few-shot detection and significantly improve the detection accuracy on both base and novel classes.

Autonomous Driving Continual Learning +4

Few-Shot Object Detection via Classification Refinement and Distractor Retreatment

no code implementations CVPR 2021 Yiting Li, Haiyue Zhu, Yu Cheng, Wenxin Wang, Chek Sing Teo, Cheng Xiang, Prahlad Vadakkepat, Tong Heng Lee

The failure modes of FSOD are investigated that the performance degradation is mainly due to the classification incapability (false positives), which motivates us to address it from a novel aspect of hard example mining.

Classification Few-Shot Object Detection +1

Global Iterative Sliding Mode Control of an Industrial Biaxial Gantry System for Contouring Motion Tasks

no code implementations23 Mar 2021 Wenxin Wang, Jun Ma, Zilong Cheng, Xiaocong Li, Clarence W de Silva, Tong Heng Lee

This paper proposes a global iterative sliding mode control approach for high-precision contouring tasks of a flexure-linked biaxial gantry system.

Friction

Generalized Iterative Super-Twisting Sliding Mode Control: A Case Study on Flexure-Joint Dual-Drive H-Gantry Stage

no code implementations23 Mar 2021 Wenxin Wang, Jun Ma, Zilong Cheng, Xiaocong Li, Abdullah Al Mamun, Tong Heng Lee

Mechatronic systems are commonly used in the industry, where fast and accurate motion performance is always required to guarantee manufacturing precision and efficiency.

Convex Parameterization and Optimization for Robust Tracking of a Magnetically Levitated Planar Positioning System

no code implementations22 Mar 2021 Jun Ma, Zilong Cheng, Haiyue Zhu, Xiaocong Li, Masayoshi Tomizuka, Tong Heng Lee

Magnetic levitation positioning technology has attracted considerable research efforts and dedicated attention due to its extremely attractive features.

Neural-iLQR: A Learning-Aided Shooting Method for Trajectory Optimization

no code implementations21 Nov 2020 Zilong Cheng, Yulin Li, Kai Chen, Jun Ma, Tong Heng Lee

Iterative linear quadratic regulator (iLQR) has gained wide popularity in addressing trajectory optimization problems with nonlinear system models.

On Solar Photovoltaic Parameter Estimation: Global Optimality Analysis and a Simple Efficient Differential Evolution Method

1 code implementation16 Nov 2020 Shuhua Gao, Yunyi Zhao, Cheng Xiang, Yu Ming, Tan Kuan Tak, Tong Heng Lee

More attractively, the simple DE algorithm takes only a fraction of the runtime of state-of-the-art metaheuristic methods and is particularly preferable in time-sensitive applications.

Robust Fixed-Order Controller Design for Uncertain Systems with Generalized Common Lyapunov Strictly Positive Realness Characterization

no code implementations5 Jun 2020 Jun Ma, Haiyue Zhu, Xiaocong Li, Wenxin Wang, Clarence W. de Silva, Tong Heng Lee

It is also noteworthy that the proposed methodology additionally provides the necessary and sufficient conditions for this robust controller design with the consideration of a prescribed finite frequency range, and therefore significantly less conservatism is attained in the system performance.

Role Playing Learning for Socially Concomitant Mobile Robot Navigation

no code implementations29 May 2017 Mingming Li, Rui Jiang, Shuzhi Sam Ge, Tong Heng Lee

In this paper, we present the Role Playing Learning (RPL) scheme for a mobile robot to navigate socially with its human companion in populated environments.

Navigate Reinforcement Learning (RL) +1

Cannot find the paper you are looking for? You can Submit a new open access paper.