Search Results for author: Yunke Zhang

Found 10 papers, 6 papers with code

HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition

no code implementations Findings (EMNLP) 2021 Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang

Specifically, we first utilize a two-phase module to generate span representations by aggregating context information based on a bottom-up and top-down transformer network.

named-entity-recognition Named Entity Recognition +3

Understanding World or Predicting Future? A Comprehensive Survey of World Models

no code implementations21 Nov 2024 Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li

The concept of world models has garnered significant attention due to advancements in multimodal large language models such as GPT-4 and video generation models such as Sora, which are central to the pursuit of artificial general intelligence.

Autonomous Driving Decision Making +1

Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides

1 code implementation18 Apr 2023 Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong

In this paper, we propose a Data and Knowledge Co-driving (D&K) model to replicate the process of cancer subtype classification on a histopathological slide like a pathologist.

Ensemble Learning

Attention-guided Temporally Coherent Video Object Matting

1 code implementation24 May 2021 Yunke Zhang, Chi Wang, Miaomiao Cui, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, QiXing Huang, Weiwei Xu

Experimental results show that our method can generate high-quality alpha mattes for various videos featuring appearance change, occlusion, and fast motion.

Image Matting Object +4

A Late Fusion CNN for Digital Matting

1 code implementation CVPR 2019 Yunke Zhang, Lixue Gong, Lubin Fan, Peiran Ren, Qixing Huang, Hujun Bao, Weiwei Xu

This paper studies the structure of a deep convolutional neural network to predict the foreground alpha matte by taking a single RGB image as input.

Decoder General Classification +1

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