2 citations · 4 across the 9 of their papers we have counts for
9 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…
HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing
Ivannia Gomez Moreno, Yi Yao, Ye Tian +7
LiDAR semantic segmentation plays a pivotal role in 3D scene understanding for edge applications such as autonomous driving. However, significant challenges remain for real-world d…
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…
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation
Mingyu Yang, Jitong Lu, Hun-Seok Kim
Multi-modal 3D semantic segmentation is vital for applications such as autonomous driving and virtual reality (VR). To effectively deploy these models in real-world scenarios, it i…
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission
Mingyu Yang, Bowen Liu, Boyang Wang +1
Deep learning-based joint source-channel coding (deep JSCC) has been demonstrated to be an effective approach for wireless image transmission. Nevertheless, most existing work adop…
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…
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding
Bowen Liu, Yu Chen, Rakesh Chowdary Machineni +2
Learning-based video compression has been extensively studied over the past years, but it still has limitations in adapting to various motion patterns and entropy models. In this p…
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…
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection
Mingyu Yang, Yu Chen, Hun-Seok Kim
In recent years, deep learning-based approaches for visual-inertial odometry (VIO) have shown remarkable performance outperforming traditional geometric methods. Yet, all existing…