Search Results for author: Yulun Zhang

Found 28 papers, 19 papers with code

LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block

no code implementations ECCV 2020 Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu

Drawing lessons from lattice filter bank, we design the lattice block (LB) in which two butterfly structures are applied to combine two RBs.

Image Super-Resolution

A New Backbone for Hyperspectral Image Reconstruction

1 code implementation17 Aug 2021 Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao

The study of 3D hyperspectral image (HSI) reconstruction refers to the inverse process of snapshot compressive imaging, during which the optical system, e. g., the coded aperture snapshot spectral imaging (CASSI) system, captures the 3D spatial-spectral signal and encodes it to a 2D measurement.

Image Reconstruction SSIM

Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning

no code implementations24 Jun 2021 K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav Sukhatme

We explore possible methods for multi-task transfer learning which seek to exploit the shared physical structure of robotics tasks.

Transfer Learning

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization

no code implementations22 Jun 2021 Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu

Adaptive gradient methods, such as \textsc{Adam}, have achieved tremendous success in machine learning.

On the Importance of Environments in Human-Robot Coordination

2 code implementations21 Jun 2021 Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis

When studying robots collaborating with humans, much of the focus has been on robot policies that coordinate fluently with human teammates in collaborative tasks.

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

MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network

no code implementations CVPR 2021 Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu

They also fail to sense the entire space of the input, which is critical for high-quality MR image SR. To address those problems, we propose squeeze and excitation reasoning attention networks (SERAN) for accurate MR image SR. We propose to squeeze attention from global spatial information of the input and obtain global descriptors.

Image Super-Resolution

ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation

1 code implementation19 Apr 2021 Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu

This paper studies Semi-Supervised Domain Adaptation (SSDA), a practical yet under-investigated research topic that aims to learn a model of good performance using unlabeled samples and a few labeled samples in the target domain, with the help of labeled samples from a source domain.

Data Augmentation Domain Adaptation

Emerging Paradigms of Neural Network Pruning

no code implementations11 Mar 2021 Huan Wang, Can Qin, Yulun Zhang, Yun Fu

In spite of the encouraging progress, how to coordinate these new pruning fashions with the traditional pruning has not been explored yet.

Network Pruning

GAN Inversion: A Survey

1 code implementation14 Jan 2021 Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang

GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model, for the image to be faithfully reconstructed from the inverted code by the generator.

GAN inversion Image Manipulation +1

Neural Sparse Representation for Image Restoration

1 code implementation NeurIPS 2020 Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang

Inspired by the robustness and efficiency of sparse representation in sparse coding based image restoration models, we investigate the sparsity of neurons in deep networks.

Image Compression Image Denoising +2

Pyramid Attention Networks for Image Restoration

2 code implementations28 Apr 2020 Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi

Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locations and scales.

Demosaicking Image Denoising +1

Adversarial Feature Hallucination Networks for Few-Shot Learning

no code implementations CVPR 2020 Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu

The recent flourish of deep learning in various tasks is largely accredited to the rich and accessible labeled data.

Data Augmentation Few-Shot Learning

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

3 code implementations CVPR 2020 Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu

Rather than synthesizing missing LR video frames as VFI networks do, we firstly temporally interpolate LR frame features in missing LR video frames capturing local temporal contexts by the proposed feature temporal interpolation network.

Space-time Video Super-resolution Video Frame Interpolation +1

Texture Hallucination for Large-Factor Painting Super-Resolution

no code implementations ECCV 2020 Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu

We aim to super-resolve digital paintings, synthesizing realistic details from high-resolution reference painting materials for very large scaling factors (e. g., 8X, 16X).

Image Reconstruction Image Super-Resolution

Joint Super-Resolution and Alignment of Tiny Faces

1 code implementation19 Nov 2019 Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu

As for SR, the proposed method recovers sharper edges and more details from LR face images than other state-of-the-art methods, which we demonstrate qualitatively and quantitatively.


Visual Semantic Reasoning for Image-Text Matching

1 code implementation ICCV 2019 Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu

It outperforms the current best method by 6. 8% relatively for image retrieval and 4. 8% relatively for caption retrieval on MS-COCO (Recall@1 using 1K test set).

Cross-Modal Retrieval Image Retrieval +1

FC$^2$N: Fully Channel-Concatenated Network for Single Image Super-Resolution

1 code implementation7 Jul 2019 Xiaole Zhao, Ying Liao, Tian He, Yulun Zhang, Yadong Wu, Tao Zhang

Most current image super-resolution (SR) methods based on convolutional neural networks (CNNs) use residual learning in network structural design, which favors to effective back propagation and hence improves SR performance by increasing model scale.

Image Super-Resolution

Multimodal Style Transfer via Graph Cuts

2 code implementations ICCV 2019 Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang

An assumption widely used in recent neural style transfer methods is that image styles can be described by global statics of deep features like Gram or covariance matrices.

Style Transfer

Residual Non-local Attention Networks for Image Restoration

2 code implementations ICLR 2019 Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu

To address this issue, we design local and non-local attention blocks to extract features that capture the long-range dependencies between pixels and pay more attention to the challenging parts.

Demosaicking Image Denoising +1

TDAN: Temporally Deformable Alignment Network for Video Super-Resolution

2 code implementations7 Dec 2018 Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu

Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low-resolution (LR) frame (reference frame) and multiple neighboring frames (supporting frames).

Optical Flow Estimation Video Super-Resolution

Channel Splitting Network for Single MR Image Super-Resolution

no code implementations15 Oct 2018 Xiaole Zhao, Yulun Zhang, Tao Zhang, Xueming Zou

The proposed CSN model divides the hierarchical features into two branches, i. e., residual branch and dense branch, with different information transmissions.

Image Super-Resolution

Support Neighbor Loss for Person Re-Identification

1 code implementation18 Aug 2018 Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu

To ensure scalability and separability, a softmax-like function is formulated to push apart the positive and negative support sets.

Person Re-Identification

Residual Dense Network for Image Super-Resolution

10 code implementations CVPR 2018 Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu

In this paper, we propose a novel residual dense network (RDN) to address this problem in image SR. We fully exploit the hierarchical features from all the convolutional layers.

Color Image Denoising Image Super-Resolution

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