7 citations · 11 across the 5 of their papers we have counts for
6 papers
HISPO: Hierarchical Importance-Sampling Policy Optimization with Entropy-Derived Segments
Quoc-Vinh Lai-Dang, Hyo-Sang Shin
Reinforcement learning with verifiable rewards (RLVR) has become a central approach for improving mathematical reasoning in language models, but long-form completions introduce a d…
A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions
Quoc-Vinh Lai-Dang
This survey explores the adaptation of visual transformer models in Autonomous Driving, a transition inspired by their success in Natural Language Processing. Surpassing traditiona…
Virtual Action Actor-Critic Framework for Exploration (Student Abstract)
Bumgeun Park, Taeyoung Kim, Quoc-Vinh Lai-Dang +1
Efficient exploration for an agent is challenging in reinforcement learning (RL). In this paper, a novel actor-critic framework namely virtual action actor-critic (VAAC), is propos…
Sensor Fusion by Spatial Encoding for Autonomous Driving
Quoc-Vinh Lai-Dang, Jihui Lee, Bumgeun Park +1
Sensor fusion is critical to perception systems for task domains such as autonomous driving and robotics. Recently, the Transformer integrated with CNN has demonstrated high perfor…
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective
Praveen Kumar Rajendran, Quoc-Vinh Lai-Dang, Luiz Felipe Vecchietti +1
Identifying the camera pose for a given image is a challenging problem with applications in robotics, autonomous vehicles, and augmented/virtual reality. Lately, learning-based met…
Learning Dense Features for Point Cloud Registration Using a Graph Attention Network
Quoc Vinh Lai Dang, Sarvar Hussain Nengroo, Hojun Jin
Point cloud registration is a fundamental task in many applications such as localization, mapping, tracking, and reconstruction. Successful registration relies on extracting robust…