10 papers
Seeing Roads Through Words: A Language-Guided Framework for RGB-T Driving Scene Segmentation
Ruturaj Reddy, Hrishav Bakul Barua, Junn Yong Loo +2
Robust semantic segmentation of road scenes under adverse illumination, lighting, and shadow conditions remain a core challenge for autonomous driving applications. RGB-Thermal fus…
RAPiD: Reward-Guided Consistency Distillation of Diffusion Planners for Real-Time Autonomous Driving
Ruturaj Reddy, Hrishav Bakul Barua, Junn Yong Loo +2
Diffusion-based trajectory planners can model multi-modal driving behavior, but their iterative denoising process introduces a latency bottleneck for real-time closed-loop deployme…
Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization
Thanh Thi Nguyen, Campbell Wilson, Janis Dalins
Large Vision-Language Models (LVLMs) or multimodal large language models represent a significant advancement in artificial intelligence, enabling systems to understand and generate…
Uncovering Critical Features for Deepfake Detection through the Lottery Ticket Hypothesis
Lisan Al Amin, Md. Ismail Hossain, Thanh Thi Nguyen +3
Recent advances in deepfake technology have created increasingly convincing synthetic media that poses significant challenges to information integrity and social trust. While curre…
Large Language Models for Detection of Life-Threatening Texts
Thanh Thi Nguyen, Campbell Wilson, Janis Dalins
Detecting life-threatening language is essential for safeguarding individuals in distress, promoting mental health and well-being, and preventing potential harm and loss of life. T…
Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents
Diksha Goel, Kristen Moore, Jeff Wang +2
Reinforcement Learning (RL) agents are increasingly used to simulate sophisticated cyberattacks, but their decision-making processes remain opaque, hindering trust, debugging, and…
Sensitive Image Classification by Vision Transformers
Hanxian He, Campbell Wilson, Thanh Thi Nguyen +1
When it comes to classifying child sexual abuse images, managing similar inter-class correlations and diverse intra-class correlations poses a significant challenge. Vision transfo…
Object Detection Approaches to Identifying Hand Images with High Forensic Values
Thanh Thi Nguyen, Campbell Wilson, Imad Khan +1
Forensic science plays a crucial role in legal investigations, and the use of advanced technologies, such as object detection based on machine learning methods, can enhance the eff…
Adaptive Knowledge Distillation for Classification of Hand Images using Explainable Vision Transformers
Thanh Thi Nguyen, Campbell Wilson, Janis Dalins
Assessing the forensic value of hand images involves the use of unique features and patterns present in an individual's hand. The human hand has distinct characteristics, such as t…
Spatiotemporal Pyramidal CNN with Depth-Wise Separable Convolution for Eye Blinking Detection in the Wild
Lan Anh Thi Nguy, Bach Nguyen Gia, Thanh Tu Thi Nguyen +2
Eye blinking detection in the wild plays an essential role in deception detection, driving fatigue detection, etc. Despite the fact that numerous attempts have already been made, t…