9 citations · 10 across the 5 of their papers we have counts for
5 papers
UDVideoQA: A Traffic Video Question Answering Dataset for Multi-Object Spatio-Temporal Reasoning in Urban Dynamics
Joseph Raj Vishal, Nagasiri Poluri, Katha Naik +7
Understanding the complex, multi-agent dynamics of urban traffic remains a fundamental challenge for video language models. This paper introduces Urban Dynamics VideoQA, a benchmar…
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
Manthan Chelenahalli Satish, Duo Lu, Bharatesh Chakravarthi +2
Traffic roundabouts, as complex and critical road scenarios, pose significant safety challenges for autonomous vehicles. In particular, the encounter of a vehicle with a dilemma zo…
Enabling Incremental Knowledge Transfer for Object Detection at the Edge
Mohammad Farhadi Bajestani, Mehdi Ghasemi, Sarma Vrudhula +1
Object detection using deep neural networks (DNNs) involves a huge amount of computation which impedes its implementation on resource/energy-limited user-end devices. The reason fo…
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA
Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang
Nowadays most research in visual recognition using Convolutional Neural Networks (CNNs) follows the "deeper model with deeper confidence" belief to gain a higher recognition accura…
TKD: Temporal Knowledge Distillation for Active Perception
Mohammad Farhadi, Yezhou Yang
Deep neural networks based methods have been proved to achieve outstanding performance on object detection and classification tasks. Despite significant performance improvement, du…