Search Results for author: Yin Wang

Found 19 papers, 6 papers with code

Automatic Keyphrase Generation by Incorporating Dual Copy Mechanisms in Sequence-to-Sequence Learning

no code implementations COLING 2022 Siyu Wang, Jianhui Jiang, Yao Huang, Yin Wang

However, we observed that most of the keyphrases are composed of some important words (seed words) in the source text, and if these words can be identified accurately and copied to create more keyphrases, the performance of the model might be improved.

Keyphrase Generation

Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery

no code implementations14 Sep 2023 Shiqiao Meng, Zonglin Di, Siwei Yang, Yin Wang

Our extensive experimental results show that the prediction accuracy increases with the amount of the weakly labeled data, as well as the road density in the areas chosen for training.

Semantic Segmentation Weakly-supervised Learning

Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction

no code implementations ICCV 2023 Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh, Antonio Montanaro, Hao Yu, Yin Wang, Nassir Navab, Xiaohui Liang, Federico Tombari

In this work, we propose the first precise hand-object reconstruction method in hyperbolic space, namely Dynamic Hyperbolic Attention Network (DHANet), which leverages intrinsic properties of hyperbolic space to learn representative features.

Object Object Reconstruction

Attentive Mask CLIP

1 code implementation ICCV 2023 Yifan Yang, Weiquan Huang, Yixuan Wei, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Fangyun Wei, Yin Wang, Han Hu, Lili Qiu, Yuqing Yang

To address this issue, we propose an attentive token removal approach for CLIP training, which retains tokens with a high semantic correlation to the text description.

Contrastive Learning Retrieval +1

Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization

1 code implementation6 Jun 2021 Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang

Visual pattern recognition over agricultural areas is an important application of aerial image processing.

Large-Scale Unsupervised Person Re-Identification with Contrastive Learning

no code implementations17 May 2021 Weiquan Huang, Yan Bai, Qiuyu Ren, Xinbo Zhao, Ming Feng, Yin Wang

In particular, most existing unsupervised and domain adaptation ReID methods utilize only the public datasets in their experiments, with labels removed.

Contrastive Learning Domain Adaptation +3

Spherical Transformer: Adapting Spherical Signal to CNNs

no code implementations11 Jan 2021 Yuqi Liu, Yin Wang, Haikuan Du, Shen Cai

To this end, the proposed method first uses local structured sampling methods such as HEALPix to construct a transformer grid by using the information of spherical points and its adjacent points, and then transforms the spherical signals to the vectors through the grid.

3D Object Classification General Classification +2

Key Frame Proposal Network for Efficient Pose Estimation in Videos

1 code implementation ECCV 2020 Yuexi Zhang, Yin Wang, Octavia Camps, Mario Sznaier

Human pose estimation in video relies on local information by either estimating each frame independently or tracking poses across frames.

Pose Estimation

A Variational Approach for Learning from Positive and Unlabeled Data

1 code implementation NeurIPS 2020 Hui Chen, Fangqing Liu, Yin Wang, Liyue Zhao, Hao Wu

Learning binary classifiers only from positive and unlabeled (PU) data is an important and challenging task in many real-world applications, including web text classification, disease gene identification and fraud detection, where negative samples are difficult to verify experimentally.

Fraud Detection text-classification +1

Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming

no code implementations CVPR 2016 Yongfang Cheng, Yin Wang, Mario Sznaier, Octavia Camps

This paper considers the problem of recovering a subspace arrangement from noisy samples, potentially corrupted with outliers.


Self Scaled Regularized Robust Regression

no code implementations CVPR 2015 Yin Wang, Caglayan Dicle, Mario Sznaier, Octavia Camps

Linear Robust Regression (LRR) seeks to find the parameters of a linear mapping from noisy data corrupted from outliers, such that the number of inliers (i. e. pairs of points where the fitting error of the model is less than a given bound) is maximized.


Automatic Objects Removal for Scene Completion

no code implementations23 Jan 2015 Jianjun Yang, Yin Wang, Honggang Wang, Kun Hua, Wei Wang, Ju Shen

With the explosive growth of web-based cameras and mobile devices, billions of photographs are uploaded to the internet.

3D Scene Reconstruction Texture Synthesis

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