Search Results for author: Kun Tang

Found 5 papers, 2 papers with code

A Survey on Multimodal Large Language Models for Autonomous Driving

1 code implementation21 Nov 2023 Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, Chao Zheng

We first introduce the background of Multimodal Large Language Models (MLLMs), the multimodal models development using LLMs, and the history of autonomous driving.

Autonomous Driving

How enlightened self-interest guided global vaccine sharing benefits all: a modelling study

no code implementations13 Oct 2023 Zhenyu Han, Qianyue Hao, Qiwei He, Katherine Budeski, Depeng Jin, Fengli Xu, Kun Tang

We explore the possibility of the enlightened self-interest incentive mechanism, i. e., improving one's own epidemic outcomes by sharing vaccines with other countries, by evaluating the number of infections and deaths under various vaccine sharing strategies using the proposed model.

Mitigating Transformer Overconfidence via Lipschitz Regularization

1 code implementation12 Jun 2023 Wenqian Ye, Yunsheng Ma, Xu Cao, Kun Tang

Though Transformers have achieved promising results in many computer vision tasks, they tend to be over-confident in predictions, as the standard Dot Product Self-Attention (DPSA) can barely preserve distance for the unbounded input domain.

Hyperuniform disordered parametric loudspeaker array

no code implementations3 Jan 2023 Kun Tang, Yuqi Wang, Shaobo Wang, Da Gao, Haojie Li, Xindong Liang, Patrick Sebbah, Yibin Li, Jin Zhang, Junhui Shi

A steerable parametric loudspeaker array is known for its directivity and narrow beam width.

THMA: Tencent HD Map AI System for Creating HD Map Annotations

no code implementations14 Dec 2022 Kun Tang, Xu Cao, Zhipeng Cao, Tong Zhou, Erlong Li, Ao Liu, Shengtao Zou, Chang Liu, Shuqi Mei, Elena Sizikova, Chao Zheng

THMA has been deployed by the Tencent Map team to provide services to downstream companies and users, serving over 1, 000 labeling workers and producing more than 30, 000 kilometers of HD map data per day at most.

Active Learning Weakly-supervised Learning

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