most citedA Study of Situational Reasoning for Traffic Understanding

8 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY20241 cited

Application of Data-Driven Model Predictive Control for Autonomous Vehicle Steering

Jiarui Zhang, Aijing Kong, Yu Tang +3

With the development of autonomous driving technology, there are increasing demands for vehicle control, and MPC has become a widely researched topic in both industry and academia.…

cs.CV2024

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning

Yifan Jiang, Jiarui Zhang, Kexuan Sun +5

While multi-modal large language models (MLLMs) have shown significant progress on many popular visual reasoning benchmarks, whether they possess abstract visual reasoning abilitie…

cs.CV20241 cited

Exploring Perceptual Limitation of Multimodal Large Language Models

Jiarui Zhang, Jinyi Hu, Mahyar Khayatkhoei +2

Multimodal Large Language Models (MLLMs) have recently shown remarkable perceptual capability in answering visual questions, however, little is known about the limits of their perc…

eess.SY2023

PINN-based viscosity solution of HJB equation

Tianyu Liu, Steven Ding, Jiarui Zhang +1

This paper proposed a novel PINN-based viscosity solution for HJB equations. Although there exists work using PINN to solve HJB, but none of them gives the solution in viscosity se…

cs.CL20238 cited

A Study of Situational Reasoning for Traffic Understanding

Jiarui Zhang, Filip Ilievski, Kaixin Ma +3

Intelligent Traffic Monitoring (ITMo) technologies hold the potential for improving road safety/security and for enabling smart city infrastructure. Understanding traffic situation…

cs.CV20231 cited

Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models

Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara +1

Visual Question Answering is a challenging task, as it requires seamless interaction between perceptual, linguistic, and background knowledge systems. While the recent progress of…