Search Results for author: Yan-Feng Wang

Found 24 papers, 6 papers with code

CaT: Weakly Supervised Object Detection with Category Transfer

no code implementations ICCV 2021 Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya zhang, Yan-Feng Wang

To handle overlapping category transfer, we propose a double-supervision mean teacher to gather common category information and bridge the domain gap between two datasets.

Transfer Learning Weakly Supervised Object Detection

ContourRender: Detecting Arbitrary Contour Shape For Instance Segmentation In One Pass

no code implementations7 Jun 2021 Tutian Tang, Wenqiang Xu, Ruolin Ye, Yan-Feng Wang, Cewu Lu

In addition, we specifically select a subset from COCO val2017 named COCO ContourHard-val to further demonstrate the contour quality improvements.

Instance Segmentation Semantic Segmentation

ESAD: End-to-end Deep Semi-supervised Anomaly Detection

no code implementations9 Dec 2020 Chaoqin Huang, Fei Ye, Peisen Zhao, Ya zhang, Yan-Feng Wang, Qi Tian

This paper explores semi-supervised anomaly detection, a more practical setting for anomaly detection where a small additional set of labeled samples are provided.

Anomaly Detection Medical Diagnosis +1

ChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit

no code implementations16 Sep 2020 Zijie Ye, Haozhe Wu, Jia Jia, Yaohua Bu, Wei Chen, Fanbo Meng, Yan-Feng Wang

Meanwhile, human choreographers design dance motions from music in a two-stage manner: they firstly devise multiple choreographic dance units (CAUs), each with a series of dance motions, and then arrange the CAU sequence according to the rhythm, melody and emotion of the music.

Decoupled Variational Embedding for Signed Directed Networks

1 code implementation28 Aug 2020 Xu Chen, Jiangchao Yao, Maosen Li, Ya zhang, Yan-Feng Wang

Comprehensive results on both link sign prediction and node recommendation task demonstrate the effectiveness of DVE.

Link Sign Prediction Node Classification +1

Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation

no code implementations30 Mar 2020 Pei Zhang, Xu Zhang, Wei Chen, Jian Yu, Yan-Feng Wang, Deyi Xiong

In this paper, we propose a new framework to model cross-sentence dependencies by training neural machine translation (NMT) to predict both the target translation and surrounding sentences of a source sentence.

Document Level Machine Translation Machine Translation +2

Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction

1 code implementation17 Mar 2020 Maosen Li, Siheng Chen, Yangheng Zhao, Ya zhang, Yan-Feng Wang, Qi Tian

The core idea of DMGNN is to use a multiscale graph to comprehensively model the internal relations of a human body for motion feature learning.

3D Human Pose Estimation 3D Pose Estimation +2

Bottom-Up Temporal Action Localization with Mutual Regularization

1 code implementation ECCV 2020 Peisen Zhao, Lingxi Xie, Chen Ju, Ya zhang, Yan-Feng Wang, Qi Tian

To alleviate this problem, we introduce two regularization terms to mutually regularize the learning procedure: the Intra-phase Consistency (IntraC) regularization is proposed to make the predictions verified inside each phase; and the Inter-phase Consistency (InterC) regularization is proposed to keep consistency between these phases.

Frame Temporal Action Localization

Cascading: Association Augmented Sequential Recommendation

no code implementations17 Oct 2019 Xu Chen, Kenan Cui, Ya zhang, Yan-Feng Wang

Recently, recommendation according to sequential user behaviors has shown promising results in many application scenarios.

Graph Embedding Sequential Recommendation

Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data

no code implementations19 Sep 2019 Zhuoxun He, Lingxi Xie, Xin Chen, Ya zhang, Yan-Feng Wang, Qi Tian

Data augmentation has been widely applied as an effective methodology to improve generalization in particular when training deep neural networks.

Data Augmentation Image Classification +1

Handwritten Chinese Font Generation with Collaborative Stroke Refinement

no code implementations30 Apr 2019 Chuan Wen, Jie Chang, Ya zhang, Siheng Chen, Yan-Feng Wang, Mei Han, Qi Tian

Automatic character generation is an appealing solution for new typeface design, especially for Chinese typefaces including over 3700 most commonly-used characters.

Font Generation

Accelerate CNN via Recursive Bayesian Pruning

no code implementations ICCV 2019 Yuefu Zhou, Ya zhang, Yan-Feng Wang, Qi Tian

A new dropout-based measurement of redundancy, which facilitate the computation of posterior assuming inter-layer dependency, is introduced.

Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption

no code implementations30 Nov 2018 Yexun Zhang, Ya zhang, Yan-Feng Wang, Qi Tian

Unsupervised domain adaption aims to learn a powerful classifier for the target domain given a labeled source data set and an unlabeled target data set.

Domain Adaptation

Phase Collaborative Network for Two-Phase Medical Image Segmentation

no code implementations28 Nov 2018 Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya zhang, Yan-Feng Wang, Qi Tian, Elliot K. Fishman, Alan L. Yuille

However, in medical image analysis, fusing prediction from two phases is often difficult, because (i) there is a domain gap between two phases, and (ii) the semantic labels are not pixel-wise corresponded even for images scanned from the same patient.

Medical Image Segmentation Semantic Segmentation

Transferable Interactiveness Knowledge for Human-Object Interaction Detection

3 code implementations CVPR 2019 Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu

On account of the generalization of interactiveness, interactiveness network is a transferable knowledge learner and can be cooperated with any HOI detection models to achieve desirable results.

Human-Object Interaction Detection

Modality Attention for End-to-End Audio-visual Speech Recognition

no code implementations13 Nov 2018 Pan Zhou, Wenwen Yang, Wei Chen, Yan-Feng Wang, Jia Jia

In this paper, we propose a novel multimodal attention based method for audio-visual speech recognition which could automatically learn the fused representation from both modalities based on their importance.

Audio-Visual Speech Recognition Robust Speech Recognition +1

Deep Hashing with Triplet Quantization Loss

no code implementations31 Oct 2017 Yuefu Zhou, Shanshan Huang, Ya zhang, Yan-Feng Wang

While minimizing the quantization loss guarantees that quantization has minimal effect on retrieval accuracy, it unfortunately significantly reduces the expressiveness of features even before the quantization.

Image Retrieval Quantization

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