Search Results for author: Jian Yao

Found 23 papers, 6 papers with code

A Lightweight Reconstruction Network for Surface Defect Inspection

no code implementations25 Dec 2022 Chao Hu, Jian Yao, Weijie Wu, Weibin Qiu, Liqiang Zhu

Currently, most deep learning methods cannot solve the problem of scarcity of industrial product defect samples and significant differences in characteristics.

Defect Detection Image Reconstruction

Self-supervised Amodal Video Object Segmentation

1 code implementation23 Oct 2022 Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David Wipf, Yanwei Fu, Zheng Zhang

The key intuition is that the occluded part of an object can be explained away if that part is visible in other frames, possibly deformed as long as the deformation can be reasonably learned.

Object Segmentation +6

DeepMLE: A Robust Deep Maximum Likelihood Estimator for Two-view Structure from Motion

no code implementations11 Oct 2022 Yuxi Xiao, Li Li, Xiaodi Li, Jian Yao

In addition, in order to increase the robustness of our framework, we formulate the likelihood function of the correlations of 2D image matches as a Gaussian and Uniform mixture distribution which takes the uncertainty caused by illumination changes, image noise and moving objects into account.

3D Reconstruction

PatchMVSNet: Patch-wise Unsupervised Multi-View Stereo for Weakly-Textured Surface Reconstruction

no code implementations4 Mar 2022 Haonan Dong, Jian Yao

Though nowadays unsupervised learning methods have been proposed and have gotten gratifying results, those methods still fail to reconstruct intact results in challenging scenes, such as weakly-textured surfaces, as those methods primarily depend on pixel-wise photometric consistency which is subjected to various illuminations.

Depth Estimation Surface Reconstruction

DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range

2 code implementations26 Mar 2021 Puyuan Yi, Shengkun Tang, Jian Yao

Distinct from these approaches, we propose a Dynamic Depth Range Network (DDR-Net) to determine the depth range hypotheses dynamically by applying a range estimation module (REM) to learn the uncertainties of range hypotheses in the former stages.

Deformable spatial propagation network for depth completion

no code implementations8 Jul 2020 Zheyuan Xu, Hongche Yin, Jian Yao

To tackle this issue, in this paper, we propose a deformable spatial propagation network (DSPN) to adaptively generates different receptive field and affinity matrix for each pixel.

Autonomous Driving Depth Completion

Vanishing Point Guided Natural Image Stitching

no code implementations6 Apr 2020 Kai Chen, Jian Yao, Jingmin Tu, Yahui Liu, Yinxuan Li, Li Li

Recently, works on improving the naturalness of stitching images gain more and more extensive attention.

Image Stitching

GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling

1 code implementation15 Mar 2020 Yahui Liu, Marco De Nadai, Jian Yao, Nicu Sebe, Bruno Lepri, Xavier Alameda-Pineda

Unsupervised image-to-image translation (UNIT) aims at learning a mapping between several visual domains by using unpaired training images.

Attribute Translation +1

Coarse-to-fine Optimization for Speech Enhancement

no code implementations21 Aug 2019 Jian Yao, Ahmad Al-Dahle

However, due to the large variance of the enhanced speech with even the same cosine similarity loss in high dimensional space, a deep neural network learnt with this loss might not be able to predict enhanced speech with good quality.

Generative Adversarial Network Speech Enhancement

Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method

1 code implementation EMNLP 2018 Yahui Liu, Wei Bi, Jun Gao, Xiaojiang Liu, Jian Yao, Shuming Shi

We observe that in the conversation tasks, each query could have multiple responses, which forms a 1-to-n or m-to-n relationship in the view of the total corpus.

Dialogue Generation Machine Translation +1

Generalized Content-Preserving Warps for Image Stitching

no code implementations18 Sep 2018 Kai Chen, Jingmin Tu, Jian Yao

Content-Preserving Warping (CPW) is a typical method to deal with this issue, in which geometric and photometric constraints are imposed to guide the warping process.

Image Stitching

Multiple Combined Constraints for Image Stitching

no code implementations18 Sep 2018 Kai Chen, Jingmin Tu, Binbin Xiang, Li Li, Jian Yao

In this paper, geometric and photometric constraints are combined to improve the alignment quality, which is based on the observation that these two kinds of constraints are complementary.

Image Stitching

Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

1 code implementation CVPR 2018 Xinpeng Chen, Lin Ma, Wenhao Jiang, Jian Yao, Wei Liu

Recently, caption generation with an encoder-decoder framework has been extensively studied and applied in different domains, such as image captioning, code captioning, and so on.

Caption Generation Image Captioning

Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network

no code implementations12 May 2017 Yahui Liu, Jian Yao, Li Li, Xiaohu Lu, Jing Han

We develop a novel deep contour detection algorithm with a top-down fully convolutional encoder-decoder network.

Contour Detection

Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network

1 code implementation31 Mar 2016 Tong He, Weilin Huang, Yu Qiao, Jian Yao

We propose a novel Cascaded Convolutional Text Network (CCTN) that joints two customized convolutional networks for coarse-to-fine text localization.

Scene Text Detection Text Detection

Text-Attentional Convolutional Neural Networks for Scene Text Detection

no code implementations12 Oct 2015 Tong He, Weilin Huang, Yu Qiao, Jian Yao

The rich supervision information enables the Text-CNN with a strong capability for discriminating ambiguous texts, and also increases its robustness against complicated background components.

Multi-Task Learning Scene Text Detection +3

Line-Based Multi-Label Energy Optimization for Fisheye Image Rectification and Calibration

no code implementations CVPR 2015 Mi Zhang, Jian Yao, Menghan Xia, Kai Li, Yi Zhang, Yaping Liu

Fisheye image rectification and estimation of intrinsic parameters for real scenes have been addressed in the literature by using line information on the distorted images.

Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs

no code implementations CVPR 2013 Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Devi Parikh

Recent trends in semantic image segmentation have pushed for holistic scene understanding models that jointly reason about various tasks such as object detection, scene recognition, shape analysis, contextual reasoning.

Image Segmentation object-detection +5

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