activity
20232026
most citedRealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

3 citations · 4 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.LG2023★ 3 cited

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

Wenhao Ding, Yulong Cao, Ding Zhao +2

Simulation plays a crucial role in the development of autonomous vehicles (AVs) due to the potential risks associated with real-world testing. Although significant progress has bee…

cs.CV2023★ 1 cited

Dolphins: Multimodal Language Model for Driving

Yingzi Ma, Yulong Cao, Jiachen Sun +2

The quest for fully autonomous vehicles (AVs) capable of navigating complex real-world scenarios with human-like understanding and responsiveness. In this paper, we introduce Dolph…

cs.CV2023

CSI: Enhancing the Robustness of 3D Point Cloud Recognition against Corruption

Zhuoyuan Wu, Jiachen Sun, Chaowei Xiao

Despite recent advancements in deep neural networks for point cloud recognition, real-world safety-critical applications present challenges due to unavoidable data corruption. Curr…

cs.CV2023

Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation

Haizhong Zheng, Jiachen Sun, Shutong Wu +4

Given a real-world dataset, data condensation (DC) aims to synthesize a small synthetic dataset that captures the knowledge of a natural dataset while being usable for training mod…

cs.AI2023

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation

Yulong Cao, Boris Ivanovic, Chaowei Xiao +1

In light of the challenges and costs of real-world testing, autonomous vehicle developers often rely on testing in simulation for the creation of reliable systems. A key element of…