Senyun Kuang - Publications, H-index & Citations

Senyun Kuang

Tsinghua University

6H指数

15论文数

398被引数

收录论文 8

发表时间

ReVerSeg: Training-free reason-and-verify video segmentation for traffic scenes ReVerSeg：面向交通场景的无训练推理与验证视频分割

Expert Systems with Applications

IF7.5

2026-08-01

PREAI

Kuang, Senyun; Liu, Yang; Feng, Shuo; Wen, Xiaoyu; Tang, Lv; Wei, Yintao

SnowRef-Drive: A Global Instruction-Driven Traffic Video Segmentation Dataset for Adverse Weather Driving Scenarios SnowRef-Drive: 一种面向恶劣天气驾驶场景的全局指令驱动的交通视频分割数据集

Scientific Data

IF6.9

2026-07-22

OAAI

Senyun Kuang; Yang Liu; Lv Tang; Yintao Wei

Toward unified video perception via multimodal large language models and reinforcement learning 通过多模态大型语言模型和强化学习实现统一的视频感知

Communications in Transportation Research

IF14.5

2026-06-30

PREAI

Kuang, Senyun; Wang, Ziyu; Liu, Yang; Wen, Xiaoyu; Tang, Lv; Wei, Yintao

TrafficPerceiver: A multimodal large language model with reinforcement learning for unified challenging traffic scene perception TrafficPerceiver：一种具有强化学习的多模态大型语言模型，用于统一的复杂交通场景感知

Communications in Transportation Research

IF14.5

2026-03-31

PREAI

Kuang, Senyun; Gao, Yushu; Cong, Shijie; Liu, Yang; Wei, Yintao

Traffic-IT: Enhancing traffic scene understanding for multimodal large language models Traffic-IT：增强多模态大型语言模型对交通场景的理解

Transportation Research Part C: Emerging Technologies

IF0

2025-09-08

PREAI

Senyun Kuang; Yang Liu; Xiaobo Qu; Yintao Wei

Harnessing multimodal large language models for traffic knowledge graph generation and decision-making

COMMUNICATIONS IN TRANSPORTATION RESEARCH

IF14.5

2024-12-01

PREAI

Kuang, Senyun; Liu, Yang; Wang, Xin; Wu, Xinhua; Wei, Yintao

MtlrNet: An Effective Deep Multitask Learning Architecture for Rail Crack Detection

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

IF5.9

2022-01-01

PREAI

Meng, Shijin; Kuang, Senyun; Ma, Zheng; Wu, Yanliang

Toward Stable Co-Saliency Detection and Object Co-Segmentation

IEEE TRANSACTIONS ON IMAGE PROCESSING

IF13.7

2022-01-01

OAAI

Li, Bo; Tang, Lv; Kuang, Senyun; Song, Mofei; Ding, Shouhong

研究方向