Search Results for author: Yunfei Liu

Found 28 papers, 11 papers with code

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

1 code implementation20 Jun 2024 Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen

Another promising line of research involves the adoption of modularity maximization, a popular and effective measure for community detection, as the guiding principle for clustering tasks.

Clustering Community Detection +3

Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method

1 code implementation16 May 2024 Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge, Guangyu Lan, Shilin Chen, Minghe Li, Yunfei Liu, Xiaohui Yuan, Nanqing Dong

Hierarchical leaf vein segmentation is a crucial but under-explored task in agricultural sciences, where analysis of the hierarchical structure of plant leaf venation can contribute to plant breeding.

Segmentation

GPAvatar: Generalizable and Precise Head Avatar from Image(s)

1 code implementation18 Jan 2024 Xuangeng Chu, Yu Li, Ailing Zeng, Tianyu Yang, Lijian Lin, Yunfei Liu, Tatsuya Harada

Head avatar reconstruction, crucial for applications in virtual reality, online meetings, gaming, and film industries, has garnered substantial attention within the computer vision community.

Neural Rendering Novel View Synthesis

A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing

no code implementations CVPR 2024 Maomao Li, Yu Li, Tianyu Yang, Yunfei Liu, Dongxu Yue, Zhihui Lin, Dong Xu

This paper presents a video inversion approach for zero-shot video editing, which models the input video with low-rank representation during the inversion process.

Video Editing

LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning

no code implementations28 Nov 2023 Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng

Over the past few years, graph neural networks (GNNs) have become powerful and practical tools for learning on (static) graph-structure data.

Graph Learning

Visibility Enhancement for Low-light Hazy Scenarios

no code implementations1 Aug 2023 Chaoqun Zhuang, Yunfei Liu, Sijia Wen, Feng Lu

The simulation is designed for generating the dataset with ground-truths by the proposed low-light hazy imaging model.

Image Dehazing SSIM

MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions

no code implementations ICCV 2023 Yunfei Liu, Lijian Lin, Fei Yu, Changyin Zhou, Yu Li

Audio-driven portrait animation aims to synthesize portrait videos that are conditioned by given audio.

Accurate 3D Face Reconstruction with Facial Component Tokens

no code implementations ICCV 2023 Tianke Zhang, Xuangeng Chu, Yunfei Liu, Lijian Lin, Zhendong Yang, Zhengzhuo Xu, Chengkun Cao, Fei Yu, Changyin Zhou, Chun Yuan, Yu Li

However, the current deep learning-based methods face significant challenges in achieving accurate reconstruction with disentangled facial parameters and ensuring temporal stability in single-frame methods for 3D face tracking on video data.

3D Face Reconstruction

Jitter Does Matter: Adapting Gaze Estimation to New Domains

no code implementations5 Oct 2022 Ruicong Liu, Yiwei Bao, Mingjie Xu, Haofei Wang, Yunfei Liu, Feng Lu

We evaluate the proposed method on four cross-domain gaze estimation tasks, and experimental results demonstrate that it significantly reduces the gaze jitter and improves the gaze estimation performance in target domains.

Adversarial Attack Contrastive Learning +2

Discriminative feature encoding for intrinsic image decomposition

no code implementations25 Sep 2022 Zongji Wang, Yunfei Liu, Feng Lu

Intrinsic image decomposition is an important and long-standing computer vision problem.

Intrinsic Image Decomposition

Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables

1 code implementation10 Aug 2022 Huarui He, Jie Wang, Yunfei Liu, Feng Wu

The goal of single-step retrosynthesis is to identify the possible reactants that lead to the synthesis of the target product in one reaction.

Decoder Drug Discovery +2

GazeOnce: Real-Time Multi-Person Gaze Estimation

no code implementations CVPR 2022 Mingfang Zhang, Yunfei Liu, Feng Lu

In this paper, we propose the first one-stage end-to-end gaze estimation method, GazeOnce, which is capable of simultaneously predicting gaze directions for multiple faces (>10) in an image.

Gaze Estimation

Cloud Sphere: A 3D Shape Representation via Progressive Deformation

no code implementations21 Dec 2021 Zongji Wang, Yunfei Liu, Feng Lu

In the area of 3D shape analysis, the geometric properties of a shape have long been studied.

3D Shape Representation

Separating Content and Style for Unsupervised Image-to-Image Translation

1 code implementation27 Oct 2021 Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu

Unsupervised image-to-image translation aims to learn the mapping between two visual domains with unpaired samples.

Translation Unsupervised Image-To-Image Translation

Vulnerability of Appearance-based Gaze Estimation

no code implementations24 Mar 2021 Mingjie Xu, Haofei Wang, Yunfei Liu, Feng Lu

However, many deep learning-based methods suffer from the vulnerability property, i. e., perturbing the raw image using noise confuses the gaze estimation models.

Adversarial Attack Gaze Estimation

Unsupervised Two-Stage Anomaly Detection

no code implementations22 Mar 2021 Yunfei Liu, Chaoqun Zhuang, Feng Lu

Anomaly detection from a single image is challenging since anomaly data is always rare and can be with highly unpredictable types.

Anomaly Detection Image Reconstruction +1

Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets

no code implementations20 Mar 2021 Yiwei Bao, Yihua Cheng, Yunfei Liu, Feng Lu

Meanwhile, we also propose Adaptive Group Normalization to recalibrate eye features with the guidance of facial feature.

Gaze Estimation

Improving Knowledge Tracing via Pre-training Question Embeddings

1 code implementation9 Dec 2020 Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu

Knowledge tracing (KT) defines the task of predicting whether students can correctly answer questions based on their historical response.

Knowledge Tracing

GIKT: A Graph-based Interaction Model for Knowledge Tracing

3 code implementations13 Sep 2020 Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Wei-Nan Zhang, Yong Yu

With the rapid development in online education, knowledge tracing (KT) has become a fundamental problem which traces students' knowledge status and predicts their performance on new questions.

Knowledge Tracing

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

3 code implementations ECCV 2020 Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu

A backdoor attack installs a backdoor into the victim model by injecting a backdoor pattern into a small proportion of the training data.

Backdoor Attack

Unsupervised Learning for Intrinsic Image Decomposition from a Single Image

2 code implementations CVPR 2020 Yunfei Liu, Yu Li, ShaoDi You, Feng Lu

Intrinsic image decomposition, which is an essential task in computer vision, aims to infer the reflectance and shading of the scene.

Intrinsic Image Decomposition

Semantic Guided Single Image Reflection Removal

1 code implementation27 Jul 2019 Yunfei Liu, Yu Li, ShaoDi You, Feng Lu

Reflection is common in images capturing scenes behind a glass window, which is not only a disturbance visually but also influence the performance of other computer vision algorithms.

Reflection Removal

Separate In Latent Space: Unsupervised Single Image Layer Separation

no code implementations3 Jun 2019 Yunfei Liu, Feng Lu

Many real world vision tasks, such as reflection removal from a transparent surface and intrinsic image decomposition, can be modeled as single image layer separation.

Intrinsic Image Decomposition Reflection Removal

What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis

no code implementations16 Apr 2019 Huangyue Yu, Minjie Cai, Yunfei Liu, Feng Lu

However, techniques for analyzing the first-person video can be fundamentally different from those for the third-person video, and it is even more difficult to explore the shared information from both viewpoints.

Self-Supervised Learning

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