4 citations · 7 across the 6 of their papers we have counts for
7 papers
Chain of Spatial Thoughts: Modality-Agnostic Spatial Grounding for Vision Language Models
Hunter Schofield, Mohammed Elmahgiubi, Mohammad Mahdavian +4
Spatial understanding is fundamental to embodied intelligence, underpinning applications such as robotic manipulation, embodied navigation, and autonomous driving. Although recent…
UniScale: Unified Scale-Aware 3D Reconstruction for Multi-View Understanding via Prior Injection for Robotic Perception
Mohammad Mahdavian, Gordon Tan, Binbin Xu +3
We present UniScale, a unified, scale-aware multi-view 3D reconstruction framework for robotic applications that flexibly integrates geometric priors through a modular, semanticall…
TileTracker: Tracking Based Vector HD Mapping using Top-Down Road Images
Mohammad Mahdavian, Mo Chen, Yu Zhang
In this paper, we propose a tracking-based HD mapping algorithm for top-down road images, referred to as tile images. While HD maps traditionally rely on perspective camera images,…
LS-HAR: Language Supervised Human Action Recognition with Salient Fusion, Construction Sites as a Use-Case
Mohammad Mahdavian, Mohammad Loni, Ted Samuelsson +1
Detecting human actions is a crucial task for autonomous robots and vehicles, often requiring the integration of various data modalities for improved accuracy. In this study, we in…
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning
Pedram Agand, Mohammad Mahdavian, Manolis Savva +1
In end-to-end autonomous driving, the utilization of existing sensor fusion techniques and navigational control methods for imitation learning proves inadequate in challenging situ…
STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead
Mohammad Mahdavian, Payam Nikdel, Mahdi TaherAhmadi +1
In this paper, we develop a neural network model to predict future human motion from an observed human motion history. We propose a non-autoregressive transformer architecture to l…
Robust Visual Teach and Repeat for UGVs Using 3D Semantic Maps
Mohammad Mahdavian, KangKang Yin, Mo Chen
We propose a Visual Teach and Repeat (VTR) algorithm using semantic landmarks extracted from environmental objects for ground robots with fixed mount monocular cameras. The propose…