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Home/Authors/Heechul Yun

Heechul Yun

1 indexed paper

Recent (6 mo)
1
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Publications per year

1
26

Top categories

Robotics×1AI×1ML×1Systems and Control×1

Frequent co-authors

Qitao Weng1×

Research Timeline

2026
Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous Driving

The paper proposes a multi-resolution end-to-end deep neural network for autonomous driving that dynamically adjusts input resolution to optimize the critical tradeoff between prediction accuracy and real-time latency.

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Papers

cs.ROcs.AIcs.LGRecentMay 27, 2026

Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous Driving

Qitao Weng, Heechul Yun

The paper proposes a multi-resolution end-to-end deep neural network for autonomous driving that dynamically adjusts input resolution to optimize the critical tradeoff between prediction accuracy and…

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