Search Results for author: Yuanhao Cai

Found 18 papers, 15 papers with code

Structure-Aware Sparse-View X-ray 3D Reconstruction

1 code implementation18 Nov 2023 Yuanhao Cai, Jiahao Wang, Alan Yuille, Zongwei Zhou, Angtian Wang

In this paper, we propose a framework, Structure-Aware X-ray Neural Radiodensity Fields (SAX-NeRF), for sparse-view X-ray 3D reconstruction.

3D Reconstruction Low-Dose X-Ray Ct Reconstruction +1

Binarized Spectral Compressive Imaging

2 code implementations NeurIPS 2023 Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang, Haoqian Wang

Finally, our BiSRNet is derived by using the proposed techniques to binarize the base model.

Binarization

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

1 code implementation20 May 2022 Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc van Gool

In coded aperture snapshot spectral compressive imaging (CASSI) systems, hyperspectral image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from a compressed measurement.

Compressive Sensing Image Reconstruction +1

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

3 code implementations17 Apr 2022 Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc van Gool

Existing leading methods for spectral reconstruction (SR) focus on designing deeper or wider convolutional neural networks (CNNs) to learn the end-to-end mapping from the RGB image to its hyperspectral image (HSI).

Spectral Reconstruction Spectral Super-Resolution

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

1 code implementation9 Mar 2022 Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc van Gool

Many algorithms have been developed to solve the inverse problem of coded aperture snapshot spectral imaging (CASSI), i. e., recovering the 3D hyperspectral images (HSIs) from a 2D compressive measurement.

Compressive Sensing Image Reconstruction +1

Pseudo 3D Auto-Correlation Network for Real Image Denoising

no code implementations CVPR 2021 Xiaowan Hu, Ruijun Ma, Zhihong Liu, Yuanhao Cai, Xiaole Zhao, Yulun Zhang, Haoqian Wang

The extraction of auto-correlation in images has shown great potential in deep learning networks, such as the self-attention mechanism in the channel domain and the self-similarity mechanism in the spatial domain.

Image Denoising

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations

no code implementations13 Dec 2020 Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, GuanAn Wang, Yan Huang, Liang Wang, Erjin Zhou, Tieniu Tan, Jian Sun

Instead, we focus on exploiting multi-scale information from layers with different receptive-field sizes and then making full of use this information by improving the fusion method.

Pose Estimation

Learning Delicate Local Representations for Multi-Person Pose Estimation

4 code implementations ECCV 2020 Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun

To tackle this problem, we propose an efficient attention mechanism - Pose Refine Machine (PRM) to make a trade-off between local and global representations in output features and further refine the keypoint locations.

Keypoint Detection Multi-Person Pose Estimation

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