171 citations · 180 across the 14 of their papers we have counts for
5 papers · 1 filter
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…