3 citations · 5 across the 5 of their papers we have counts for
5 papers
TCP-SSM: Efficient Vision State Space Models with Token-Conditioned Poles
Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim
State Space Models (SSMs) have emerged as a compelling alternative to attention models for long-range vision tasks, offering input-dependent recurrence with linear complexity. Howe…
Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion
Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim
Multi-sensor fusion using LiDAR and RGB cameras significantly enhances 3D object detection task. However, conventional LiDAR sensors perform dense, stateless scans, ignoring the st…
Falsification of a Vision-based Automatic Landing System
Sara Shoouri, Shayan Jalili, Jiahong Xu +5
At smaller airports without an instrument approach or advanced equipment, automatic landing of aircraft is a safety-critical task that requires the use of sensors present on the ai…
Siamese Learning-based Monarch Butterfly Localization
Sara Shoouri, Mingyu Yang, Gordy Carichner +7
A new GPS-less, daily localization method is proposed with deep learning sensor fusion that uses daylight intensity and temperature sensor data for Monarch butterfly tracking. Prio…
Efficient Computation Sharing for Multi-Task Visual Scene Understanding
Sara Shoouri, Mingyu Yang, Zichen Fan +1
Solving multiple visual tasks using individual models can be resource-intensive, while multi-task learning can conserve resources by sharing knowledge across different tasks. Despi…