171 citations · 180 across the 14 of their papers we have counts for
16 papers
JARVIS: From Visual Manuals to Autonomous Robotic Assembly
Fan Ding, Fucai Ke, Kevin Yuchen Ma +5
Visual manuals communicate procedural knowledge through stepwise diagrams, but translating these instructions into reliable long-horizon robotic execution remains challenging. We i…
Sonalyzer-Moz: A Framework for Analyzing the Structure of Mozart's Sonata Form
Jing Zhao, KokSheik Wong, Vishnu Monn Baskaran +2
The sonata form is a musically rich and hierarchically structured form that poses significant challenges for automatic analysis. While music structure analysis has seen strides of…
Drive As You Like: Multi-Head Diffusion with Reinforcement Learning for Personalized Driving
Fan Ding, Ding Fan, Xuewen Luo +6
Personalized autonomous driving requires understanding the driving needs implicit in user requests. This is challenging when driving demonstrations lack style annotations and behav…
Transformer-based Deep Learning Model for Joint Routing and Scheduling with Varying Electric Vehicle Numbers
Jun Kang Yap, Vishnu Monn Baskaran, Wen Shan Tan +3
The growing integration of renewable energy sources in modern power systems has introduced significant operational challenges due to their intermittent and uncertain outputs. In re…
SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition
Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo +2
The resurgence of convolutional neural networks (CNNs) in visual recognition tasks, exemplified by ConvNeXt, has demonstrated their capability to rival transformer-based architectu…
Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection
Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo +2
Human-object interaction (HOI) detection is essential for accurately localizing and characterizing interactions between humans and objects, providing a comprehensive understanding…
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo, Michelle Adeline, Julia Kaiwen Lau +6
Energy-based models (EBMs) are a powerful class of probabilistic generative models due to their flexibility and interpretability. However, relationships between potential flows and…
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
Junn Yong Loo, Michelle Adeline, Arghya Pal +3
Energy based models (EBMs) are appealing for their generality and simplicity in data likelihood modeling, but have conventionally been difficult to train due to the unstable and ti…
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection
Michelle Adeline, Junn Yong Loo, Vishnu Monn Baskaran
Multi-view 3D object detection is a crucial component of autonomous driving systems. Contemporary query-based methods primarily depend either on dataset-specific initialization of…
Sigma-point Kalman Filter with Nonlinear Unknown Input Estimation via Optimization and Data-driven Approach for Dynamic Systems
Junn Yong Loo, Ze Yang Ding, Vishnu Monn Baskaran +2
Most works on joint state and unknown input (UI) estimation require the assumption that the UIs are linear; this is potentially restrictive as it does not hold in many intelligent…
A Deep Probabilistic Flow-Based Framework for Unsupervised Cross-Domain Soft Sensing
Junn Yong Loo, Hwa Hui Tew, Fang Yu Leong +4
Industrial soft sensing is crucial for accurate process monitoring through reliable inference of dominant sensor variables. However, developing effective data-driven soft sensor mo…
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding +4
Recently, data-driven models such as deep neural networks have shown to be promising tools for modelling and state inference in soft robots. However, voluminous amounts of data are…
HDR image watermarking using saliency detection and quantization index modulation
Ahmed Khan, Minoru Kuribayashi, KokSheik Wong +1
High-dynamic range (HDR) images are circulated rapidly over the internet with risks of being exploited for unauthorized usage. To protect these images, some HDR image based waterma…
Simulation and Analysis of Distributed Wireless Sensor Network using Message Passing Interface
Bhanuka Manesha Samarasekara Vitharana Gamage, Vishnu Monn Baskaran
Wireless Sensor Networks (WSN) are used by many industries from environment monitoring systems to NASA's space exploration programs, as it has allowed society to monitor and preven…
Efficient Generation of Mandelbrot Set using Message Passing Interface
Bhanuka Manesha Samarasekara Vitharana Gamage, Vishnu Monn Baskaran
With the increasing need for safer and reliable systems, Mandelbrot Set's use in the encryption world is evident to everyone. This document aims to provide an efficient method to g…
A Survey of Automatic Facial Micro-expression Analysis: Databases, Methods and Challenges
Yee-Hui Oh, John See, Anh Cat Le Ngo +2
Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential application…