Search Results for author: Hong Li

Found 28 papers, 9 papers with code

IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts

1 code implementation9 Oct 2023 Bohan Zeng, Shanglin Li, Yutang Feng, Hong Li, Sicheng Gao, Jiaming Liu, Huaxia Li, Xu Tang, Jianzhuang Liu, Baochang Zhang

Recent advances in 3D generation have been remarkable, with methods such as DreamFusion leveraging large-scale text-to-image diffusion-based models to supervise 3D generation.

Image to 3D Object +1

Boosting Multi-modal Model Performance with Adaptive Gradient Modulation

1 code implementation ICCV 2023 Hong Li, Xingyu Li, Pengbo Hu, Yinuo Lei, Chunxiao Li, Yi Zhou

In addition, we find that the jointly trained model typically has a preferred modality on which the competition is weaker than other modalities.

Attribute

Hierarchical Aligned Multimodal Learning for NER on Tweet Posts

no code implementations15 May 2023 Peipei Liu, Hong Li, Yimo Ren, Jie Liu, Shuaizong Si, Hongsong Zhu, Limin Sun

Mining structured knowledge from tweets using named entity recognition (NER) can be beneficial for many down stream applications such as recommendation and intention understanding.

named-entity-recognition Named Entity Recognition +2

Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis

no code implementations28 Oct 2022 Peipei Liu, Xin Zheng, Hong Li, Jie Liu, Yimo Ren, Hongsong Zhu, Limin Sun

At the second stage, a self-supervised contrastive learning is designed for the improvement of the distilled unimodal representations after cross-modal interaction.

Contrastive Learning Multimodal Sentiment Analysis +1

Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social Media

1 code implementation19 Oct 2022 Peipei Liu, Gaosheng Wang, Hong Li, Jie Liu, Yimo Ren, Hongsong Zhu, Limin Sun

With social media posts tending to be multimodal, Multimodal Named Entity Recognition (MNER) for the text with its accompanying image is attracting more and more attention since some textual components can only be understood in combination with visual information.

named-entity-recognition Named Entity Recognition +3

CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises

no code implementations19 Oct 2022 Peipei Liu, Hong Li, Zhiyu Wang, Yimo Ren, Jie Liu, Fei Lyu, Hongsong Zhu, Limin Sun

Enterprise relation extraction aims to detect pairs of enterprise entities and identify the business relations between them from unstructured or semi-structured text data, and it is crucial for several real-world applications such as risk analysis, rating research and supply chain security.

Attribute Relation +1

FNeVR: Neural Volume Rendering for Face Animation

1 code implementation21 Sep 2022 Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang

In FNeVR, we design a 3D Face Volume Rendering (FVR) module to enhance the facial details for image rendering.

Talking Face Generation

Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence

1 code implementation1 Jul 2022 Peipei Liu, Hong Li, Zuoguang Wang, Jie Liu, Yimo Ren, Hongsong Zhu

Extracting cybersecurity entities such as attackers and vulnerabilities from unstructured network texts is an important part of security analysis.

named-entity-recognition Named Entity Recognition +1

Research on Event Accumulator Settings for Event-Based SLAM

1 code implementation1 Dec 2021 Kun Xiao, Guohui Wang, Yi Chen, Yongfeng Xie, Hong Li, Sen Li

The experiment results show that our method can achieve better performance in most sequences compared with the state-of-the-art event frame based SLAM algorithm.

The Report on China-Spain Joint Clinical Testing for Rapid COVID-19 Risk Screening by Eye-region Manifestations

no code implementations18 Sep 2021 Yanwei Fu, Feng Li, Paula boned Fustel, Lei Zhao, Lijie Jia, Haojie Zheng, Qiang Sun, Shisong Rong, Haicheng Tang, xiangyang xue, Li Yang, Hong Li, Jiao Xie Wenxuan Wang, Yuan Li, Wei Wang, Yantao Pei, Jianmin Wang, Xiuqi Wu, Yanhua Zheng, Hongxia Tian, Mengwei Gu

The image-level performance of COVID-19 prescreening model in the China-Spain multicenter study achieved an AUC of 0. 913 (95% CI, 0. 898-0. 927), with a sensitivity of 0. 695 (95% CI, 0. 643-0. 748), a specificity of 0. 904 (95% CI, 0. 891 -0. 919), an accuracy of 0. 875(0. 861-0. 889), and a F1 of 0. 611(0. 568-0. 655).

Binary Classification Specificity

A convolutional neural network for teeth margin detection on 3-dimensional dental meshes

no code implementations7 Jul 2021 Hu Chen, Hong Li, Bifu Hu, Kenan Ma, Yuchun Sun

The accuracy, recall and precision were validated on 145 dental meshes to rate the best network structures, which were finally tested on another 144 dental meshes.

Rapid COVID-19 Risk Screening by Eye-region Manifestations

no code implementations12 Jun 2021 Yanwei Fu, Lei Zhao, Haojie Zheng, Qiang Sun, Li Yang, Hong Li, Jiao Xie, xiangyang xue, Feng Li, Yuan Li, Wei Wang, Yantao Pei, Jianmin Wang, Xiuqi Wu, Yanhua Zheng, Hongxia Tian Mengwei Gu1

It is still nontrivial to develop a new fast COVID-19 screening method with the easier access and lower cost, due to the technical and cost limitations of the current testing methods in the medical resource-poor districts.

Ethics

Cascade of correlated electron states in a kagome superconductor CsV3Sb5

no code implementations4 Mar 2021 He Zhao, Hong Li, Brenden R. Ortiz, Samuel M. L. Teicher, Taka Park, Mengxing Ye, Ziqiang Wang, Leon Balents, Stephen D. Wilson, Ilija Zeljkovic

At a temperature far above the superconducting transition Tc ~ 2. 5 K, we reveal a tri-directional charge order with a 2a0 period that breaks the translation symmetry of the lattice.

Superconductivity Strongly Correlated Electrons

Nanoscale decoupling of electronic nematicity and structural anisotropy in FeSe thin films

no code implementations8 Feb 2021 Zheng Ren, Hong Li, He Zhao, Shrinkhala Sharma, Ziqiang Wang, Ilija Zeljkovic

In this work, we discover that electronic nematicity can be locally decoupled from the underlying structural anisotropy in strain-engineered iron-selenide (FeSe) thin films.

Strongly Correlated Electrons Materials Science Superconductivity

Finite Volume Element Methods for Two-Dimensional Time Fractional Reaction-Diffusion Equations on Triangular Grids

no code implementations29 Jan 2021 Zhichao Fang, Jie Zhao, Hong Li, Yang Liu

In this paper, the time fractional reaction-diffusion equations with the Caputo fractional derivative are solved by using the classical $L1$-formula and the finite volume element (FVE) methods on triangular grids.

Numerical Analysis Numerical Analysis 65N30, 65M60, 26A33 G.1.2; G.1.8

Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements

1 code implementation EMNLP 2020 Yang Li, Gang Li, Luheng He, Jingjie Zheng, Hong Li, Zhiwei Guan

We propose widget captioning, a novel task for automatically generating language descriptions for UI elements from multimodal input including both the image and the structural representations of user interfaces.

A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation

no code implementations8 Mar 2020 Jinghua Zhang, Chen Li, Frank Kulwa, Xin Zhao, Changhao Sun, Zihan Li, Tao Jiang, Hong Li

In order to assist researchers to identify Environmental Microorganisms (EMs) effectively, a Multi-scale CNN-CRF (MSCC) framework for the EM image segmentation is proposed in this paper.

Image Segmentation Segmentation +1

Language Resources and Annotation Tools for Cross-Sentence Relation Extraction

no code implementations LREC 2014 Sebastian Krause, Hong Li, Feiyu Xu, Hans Uszkoreit, Robert Hummel, Luise Spielhagen

In this paper, we present a novel combination of two types of language resources dedicated to the detection of relevant relations (RE) such as events or facts across sentence boundaries.

Coreference Resolution Dependency Parsing +3

Annotating Relation Mentions in Tabloid Press

no code implementations LREC 2014 Hong Li, Sebastian Krause, Feiyu Xu, Hans Uszkoreit, Robert Hummel, Veselina Mironova

The current corpus is already in active use in our research for evaluation of the relation extraction performance of our automatically learned extraction patterns.

Relation Relation Extraction +1

Multi-label ensemble based on variable pairwise constraint projection

no code implementations8 Mar 2014 Ping Li, Hong Li, Min Wu

For the boosting-like strategy, we employ both the variable pairwise constraints and the bootstrap steps to diversify the base classifiers.

Classification General Classification +1

Annotating Opinions in German Political News

no code implementations LREC 2012 Hong Li, Xiwen Cheng, Kristina Adson, Tal Kirshboim, Feiyu Xu

This paper presents an approach to construction of an annotated corpus for German political news for the opinion mining task.

BIG-bench Machine Learning Opinion Mining +4

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