I am a PhD student at Unviersity of Maryland, College Park. I am advised by Prof. Dinesh Manocha in GAMMA group. I received my B.S. in Computer Science and Statistics at UMD in 2019 with Magna Cum Laude.

My primary goal is to equip autonomous agents with general and versatile capabilities. To tackle this challenge and connect the dots, I work on the topic of large vision-language model, foundation model for robots, robotic applications, autonomous driving and computer vision. Previously, I did research internships at Amazon Lab126 and Baidu USA,

Feel free to follow me on twitter for my latest research!

News

Research Interest

• Robotics and Autonomous Driving
• VLM and Fundation Models
• Vision and Perception

Selected Publications

	HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models Fuxiao Liu*, Tianrui Guan*, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou arxiv 2023. [paper] [webpage] [code]
	GrASPE: Graph based Multimodal Fusion for Robot Navigation in Unstructured Outdoor Environments Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Jing Liang, Tianrui Guan, Utsav Patel, Dinesh Manocha IEEE Robotics and Automation Letters (RA-L) 2023. [paper] [webpage]
	iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha Conference on Robot Learning (CoRL) 2023. oral (6.6%) Abridged in IROS 2023 Advances in Multi-Agent Learning - Coordination, Peception and Control Workshop. Best Paper and Presentation Award. [paper] [webpage] [code]
	CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition Tianrui Guan, Aswath Muthuselvam, Montana Hoover, Xijun Wang, Jing Liang, Adarsh Jagan Sathyamoorthy, Damon Conover, Dinesh Manocha International Conference on Computer Vision (ICCV) 2023. [paper] [webpage] [code]
	VINet: Visual and Inertial-based Terrain Classification and Adaptive Navigation over Unknown Terrain Tianrui Guan, Ruitao Song, Zhixian Ye, Liangjun Zhang International Conference on Robotics and Automation (ICRA) 2023. [paper] [webpage]
	VERN: Vegetation-aware Robot Navigation in Dense Unstructured Outdoor Environments Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Tianrui Guan, Mason Russell, Damon Conover, Jason Pusey, Dinesh Manocha IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023. [paper] [webpage]
	TNS: Terrain Traversability Mapping and Navigation System for Autonomous Excavators Tianrui Guan, Zhenpeng He, Ruitao Song, Dinesh Manocha, Liangjun Zhang Robotics: Science and Systems (RSS) 2022. Abridged in ICRA 2022 Construction Workshop. Extended work also appeared in Autonomous Robots as TNES: Terrain Traversability Mapping, Navigation and Excavation System. [paper] [webpage]
	FAR: Fourier Aerial Video Recognition Divya Kothandaraman, Tianrui Guan, Xijun Wang, Sean Hu, Ming Lin, Dinesh Manocha European Conference on Computer Vision (ECCV) 2022. [paper] [webpage] [code]
	M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers Tianrui Guan*, Jun Wang*, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha Winter Conference on Applications of Computer Vision (WACV) 2022. [paper] [webpage] [code]
	GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments Tianrui Guan, Divya Kothandaraman, Rohan Chandra, Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Dinesh Manocha IEEE Robotics and Automation Letters (RA-L) 2021. [paper] [webpage] [code]
	Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha IEEE Robotics and Automation Letters (RA-L) 2020. [paper] [webpage] [code]

Please check full list of publications here.