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!


Feb 2024:HallusionBench paper was accepted to CVPR 2024! The data, evaluation and code are available on GitHub.
Feb 2024:LOC-ZSON was accepted to ICRA 2024! Will release the report soon!
Oct 2023: We release an early report and analysis on failure modes of GPT-4V and LLaVA-1.5. Stay tuned on the release of our dataset HallusionBench!
Sep 2023:GrASPE paper was accepted to RAL!
Aug 2023:iPlan was accepted to CoRL 2023 with oral (6.6%) presentation!
Jul 2023:Crossloc3D was accepted to ICCV 2023!
Jun 2023:VERN was accepted to IROS 2023!
May 2023:TNES was accepted to Autonomous Robots, Springer Nature!
May 2023:Started as a Research Scientist Intern at Amazon Lab126!
Jan 2023:VINet and AZTR were accepted to ICRA 2023!
Dec 2022:Two paper was accepted to RAL this year!
Jul 2022:One paper was accepted to ECCV 2022!
May 2022:Presented my work on ICRA 2022, construction workshop!
May 2022:Started as a Research Scientist Intern at Robotics and Autonomous Driving Lab, Baidu USA!
Apr 2022:TNS was accepted to RSS 2022!
Dec 2021:Successfully defended my MS thesis and started my PhD journey!
Oct 2021:M3DeTR was accepted to WACV 2022!
Jun 2021:One paper was accepted to IROS 2022!
Jun 2021:One paper was accepted to RAL!
May 2021:Started as a Research Scientist Intern at Robotics and Autonomous Driving Lab, Baidu USA!
Dec 2020:Two paper was accepted to RAL this year!
Jan 2020:One paper was accepted to ICRA!
Aug 2019:Started MS at University of Maryland, College Park!
May 2019:Started at GAMMA Lab as a ugrad and worked on TrackNPred!

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.