Search Results for author: Shanxin Yuan

Found 24 papers, 8 papers with code

Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation

1 code implementation12 Apr 2016 Qi Ye, Shanxin Yuan, Tae-Kyun Kim

In this paper, a hybrid hand pose estimation method is proposed by applying the kinematic hierarchy strategy to the input space (as well as the output space) of the discriminative method by a spatial attention mechanism and to the optimization of the generative method by hierarchical Particle Swarm Optimization (PSO).

Hand Pose Estimation

First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations

1 code implementation CVPR 2018 Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim

Our dataset and experiments can be of interest to communities of 3D hand pose estimation, 6D object pose, and robotics as well as action recognition.

3D Hand Pose Estimation Action Recognition +4

The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation

no code implementations7 Jul 2017 Shanxin Yuan, Qi Ye, Guillermo Garcia-Hernando, Tae-Kyun Kim

We present the 2017 Hands in the Million Challenge, a public competition designed for the evaluation of the task of 3D hand pose estimation.

3D Hand Pose Estimation

RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images

no code implementations18 Nov 2018 Shanxin Yuan, Bjorn Stenger, Tae-Kyun Kim

We explore different ways of using this privileged information: (1) using depth data to initially train a depth-based network, (2) using the features from the depth-based network of the paired depth images to constrain mid-level RGB network weights, and (3) using the foreground mask, obtained from the depth data, to suppress the responses from the background area.

3D Hand Pose Estimation

AIM 2019 Challenge on Image Demoireing: Dataset and Study

no code implementations6 Nov 2019 Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis

In addition to describing the dataset and its creation, this paper also reviews the challenge tracks, competition, and results, the latter summarizing the current state-of-the-art on this dataset.

Image Manipulation

Image Demoireing with Learnable Bandpass Filters

1 code implementation CVPR 2020 Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis

Image demoireing is a multi-faceted image restoration task involving both texture and color restoration.

Ranked #2 on Image Enhancement on TIP 2018 (using extra training data)

Demoire Image Restoration +2

Wavelet-Based Dual-Branch Network for Image Demoireing

1 code implementation14 Jul 2020 Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian

When smartphone cameras are used to take photos of digital screens, usually moire patterns result, severely degrading photo quality.

Demoire Image Restoration +1

Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs

1 code implementation3 Nov 2020 Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory Slabaugh, Qi Tian

In this paper, we propose a self-adaptive learning method for demoireing a high-frequency image, with the help of an additional defocused moire-free blur image.

Demoire Test-time Adaptation

Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs

no code implementations NeurIPS 2020 Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory Slabaugh, Qi Tian

In this paper, we propose a self-adaptive learning method for demoiréing a high-frequency image, with the help of an additional defocused moiré-free blur image.

Test-time Adaptation

Wavelet-Based Network For High Dynamic Range Imaging

1 code implementation3 Aug 2021 Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan

The frequency-guided upsampling module reconstructs details from multiple frequency-specific components with rich details.

Optical Flow Estimation Vocal Bursts Intensity Prediction

SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers

no code implementations17 Dec 2021 Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian

For zero-shot image restoration, we design a novel model, termed SiamTrans, which is constructed by Siamese transformers, encoders, and decoders.

Denoising Image Restoration +1

SJ-HD^2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes

no code implementations20 Jun 2022 Wei Li, Shuai Xiao, Tianhong Dai, Shanxin Yuan, Tao Wang, Cheng Li, Fenglong Song

To further leverage these two paradigms, we propose a selective and joint HDR and denoising (SJ-HD$^2$R) imaging framework, utilizing scenario-specific priors to conduct the path selection with an accuracy of more than 93. 3$\%$.

Denoising

Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment

no code implementations5 Aug 2022 Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan

Specifically, we focus on human appearance and learn implicit pose, shape and garment representations of dressed humans from RGB images.

3D Reconstruction Disentanglement

Low-Light Video Enhancement with Synthetic Event Guidance

no code implementations23 Aug 2022 Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian

Low-light video enhancement (LLVE) is an important yet challenging task with many applications such as photographing and autonomous driving.

Autonomous Driving Image Enhancement +1

Graph Neural Networks in Vision-Language Image Understanding: A Survey

no code implementations7 Mar 2023 Henry Senior, Gregory Slabaugh, Shanxin Yuan, Luca Rossi

2D image understanding is a complex problem within Computer Vision, but it holds the key to providing human level scene comprehension.

Image Captioning Image Retrieval +3

Exploring Effective Mask Sampling Modeling for Neural Image Compression

no code implementations9 Jun 2023 Lin Liu, Mingming Zhao, Shanxin Yuan, Wenlong Lyu, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian

Specifically, Cube Mask Sampling Module (CMSM) is proposed to apply both spatial and channel mask sampling modeling to image compression in the pre-training stage.

Image Compression Self-Supervised Learning

Wavelet-Based Dual-Branch Network for Image Demoiréing

no code implementations ECCV 2020 Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Aleš Leonardis, Wengang Zhou, Qi Tian

When smartphone cameras are used to take photos of digital screens, usually moire patterns result, severely degrading photo quality.

Image Restoration Rain Removal

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