5 papers
Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas, Bruno Cornelis, Alexandre Alahi +1
Traffic forecasting is pivotal for intelligent transportation systems, where accurate and interpretable predictions can significantly enhance operational efficiency and safety. A k…
HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking
Leandro Di Bella, Yangxintong Lyu, Bruno Cornelis +1
The evolution of Advanced Driver Assistance Systems (ADAS) has increased the need for robust and generalizable algorithms for multi-object tracking. Traditional statistical model-b…
A Power-Efficient Hardware Implementation of L-Mul
Ruiqi Chen, Yangxintong Lyu, Han Bao +1
Multiplication is a core operation in modern neural network (NN) computations, contributing significantly to energy consumption. The linear-complexity multiplication (L-Mul) algori…
LAM3D: Leveraging Attention for Monocular 3D Object Detection
Diana-Alexandra Sas, Leandro Di Bella, Yangxintong Lyu +2
Since the introduction of the self-attention mechanism and the adoption of the Transformer architecture for Computer Vision tasks, the Vision Transformer-based architectures gained…
DeepKalPose: An Enhanced Deep-Learning Kalman Filter for Temporally Consistent Monocular Vehicle Pose Estimation
Leandro Di Bella, Yangxintong Lyu, Adrian Munteanu
This paper presents DeepKalPose, a novel approach for enhancing temporal consistency in monocular vehicle pose estimation applied on video through a deep-learning-based Kalman Filt…