Search Results for author: Shuaicheng Liu

Found 39 papers, 18 papers with code

DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

1 code implementation ICCV 2021 Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, yinda zhang

Panorama images have a much larger field-of-view thus naturally encode enriched scene context information compared to standard perspective images, which however is not well exploited in the previous scene understanding methods.

Scene Understanding

Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation

1 code implementation6 Jul 2021 Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao

Homography estimation is an important task in computer vision, such as image stitching, video stabilization, and camera calibration.

Homography Estimation Image Stitching +1

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

2 code implementations22 May 2021 Zhen Liu, Wenjie Lin, Xinpeng Li, Qing Rao, Ting Jiang, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu

In this paper, we present an attention-guided deformable convolutional network for hand-held multi-frame high dynamic range (HDR) imaging, namely ADNet.

ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling

no code implementations8 Apr 2021 Kunming Luo, Ao Luo, Chuan Wang, Haoqiang Fan, Shuaicheng Liu

Equipped with these two modules, our method achieves the best performance for unsupervised optical flow estimation on multiple leading benchmarks, including MPI-SIntel, KITTI 2012 and KITTI 2015.

Optical Flow Estimation

Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection

no code implementations ICCV 2021 Nianjin Ye, Chuan Wang, Haoqiang Fan, Shuaicheng Liu

Last, we propose a Feature Identity Loss (FIL) to enforce the learned image feature warp-equivariant, meaning that the result should be identical if the order of warp operation and feature extraction is swapped.

Homography Estimation

D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution

no code implementations26 Mar 2021 Youwei Li, Haibin Huang, Lanpeng Jia, Haoqiang Fan, Shuaicheng Liu

Rethinking both, we learn the distribution of underlying high-frequency details in a discrete form and propose a two-stage pipeline: divergence stage to convergence stage.

Image Super-Resolution SSIM

GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning

no code implementations ICCV 2021 Haipeng Li, Kunming Luo, Shuaicheng Liu

Experiments show that our method outperforms the state-of-art methods in both regular and challenging scenes.

Optical Flow Estimation

Holistic 3D Scene Understanding from a Single Image with Implicit Representation

1 code implementation CVPR 2021 Cheng Zhang, Zhaopeng Cui, yinda zhang, Bing Zeng, Marc Pollefeys, Shuaicheng Liu

We not only propose an image-based local structured implicit network to improve the object shape estimation, but also refine the 3D object pose and scene layout via a novel implicit scene graph neural network that exploits the implicit local object features.

3D Object Detection Scene Understanding

OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration

no code implementations ICCV 2021 Hao Xu, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng

On the other hand, previous global feature based approaches can utilize the entire point cloud for the registration, however they ignore the negative effect of non-overlapping points when aggregating global features.

Point Cloud Registration

UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data

no code implementations3 Feb 2021 Ru Li, Chuan Wang, Shuaicheng Liu, Jue Wang, Guanghui Liu, Bing Zeng

The proposed method relaxes the constraint of paired dataset and learns the mapping from LDR domain to HDR domain.

Image Generation

DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation

no code implementations27 Jan 2021 Haipeng Li, Shuaicheng Liu, Jue Wang

In this work, we propose a deep network that compensates the motions caused by the OIS, such that the gyroscopes can be used for image alignment on the OIS cameras.

JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks

no code implementations19 Jan 2021 Ru Li, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng

We design a multi-task pipeline that includes, (1) a classification branch to classify jigsaw permutations, and (2) a GAN branch to recover features to images with correct orders.

Classification General Classification +1

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

3 code implementations CVPR 2021 Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu

Subsequently, image denosing can be achieved by selecting corresponding basis of the signal subspace and projecting the input into such space.

Image Denoising SSIM

UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning

1 code implementation CVPR 2021 Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun

By integrating these two components together, our method achieves the best performance for unsupervised optical flow learning on multiple leading benchmarks, including MPI-SIntel, KITTI 2012 and KITTI 2015.

Optical Flow Estimation

Decision-based Universal Adversarial Attack

1 code implementation15 Sep 2020 Jing Wu, Mingyi Zhou, Shuaicheng Liu, Yipeng Liu, Ce Zhu

A single perturbation can pose the most natural images to be misclassified by classifiers.

Adversarial Attack

Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection

no code implementations9 Jun 2020 Qingdong He, Zhengning Wang, Hao Zeng, Yijun Liu, Shuaicheng Liu, Bing Zeng

After aligning the interior points with fused features, the proposed network refines the prediction in a more accurate manner and encodes the whole box in a novel compact method.

3D Object Detection Autonomous Driving

DaST: Data-free Substitute Training for Adversarial Attacks

2 code implementations CVPR 2020 Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu

In this paper, we propose a data-free substitute training method (DaST) to obtain substitute models for adversarial black-box attacks without the requirement of any real data.

Adversarial Imitation Attack

no code implementations28 Mar 2020 Mingyi Zhou, Jing Wu, Yipeng Liu, Xiaolin Huang, Shuaicheng Liu, Xiang Zhang, Ce Zhu

Then, the adversarial examples generated by the imitation model are utilized to fool the attacked model.

Adversarial Attack

SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping

no code implementations16 Mar 2020 Jiaxiong Qiu, Cai Chen, Shuaicheng Liu, Bing Zeng

The channel redundancy in feature maps of convolutional neural networks (CNNs) results in the large consumption of memories and computational resources.

Image Classification

DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration

no code implementations11 Dec 2019 Nianjin Ye, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Jue Wang, Yongqing Cui

Deep homography methods, on the other hand, are free from such problem by learning deep features for robust performance.

Denoising Homography Estimation +2

Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability

1 code implementation10 Dec 2019 Shuaicheng Liu, Zehao Zhang, Kai Song, Bing Zeng

The unprecedented performance achieved by deep convolutional neural networks for image classification is linked primarily to their ability of capturing rich structural features at various layers within networks.

General Classification Image Classification

Neural Point Cloud Rendering via Multi-Plane Projection

1 code implementation CVPR 2020 Peng Dai, yinda zhang, Zhuwen Li, Shuaicheng Liu, Bing Zeng

The input to the network is the raw point cloud of a scene and the output are image or image sequences from a novel view or along a novel camera trajectory.

DeepBlindness: Fast Blindness Map Estimation and Blindness Type Classification for Outdoor Scene from Single Color Image

1 code implementation2 Nov 2019 Jiaxiong Qiu, Xinyuan Yu, Guoqiang Yang, Shuaicheng Liu

Outdoor vision robotic systems and autonomous cars suffer from many image-quality issues, particularly haze, defocus blur, and motion blur, which we will define generically as "blindness issues".

General Classification

C3AE: Exploring the Limits of Compact Model for Age Estimation

1 code implementation CVPR 2019 Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu

Recently, MobileNets and ShuffleNets have been proposed to reduce the number of parameters, yielding lightweight models.

Age Estimation

Rain Removal By Image Quasi-Sparsity Priors

no code implementations20 Dec 2018 Yinglong Wang, Shuaicheng Liu, Chen Chen, Dehua Xie, Bing Zeng

We present a novel rain removal method in this paper, which consists of two steps, i. e., detection of rain streaks and reconstruction of the rain-removed image.

Rain Removal

Removing rain streaks by a linear model

no code implementations19 Dec 2018 Yinglong Wang, Shuaicheng Liu, Bing Zeng

Removing rain streaks from a single image continues to draw attentions today in outdoor vision systems.

Rain Removal

MGANet: A Robust Model for Quality Enhancement of Compressed Video

2 code implementations22 Nov 2018 Xiandong Meng, Xuan Deng, Shuyuan Zhu, Shuaicheng Liu, Chuan Wang, Chen Chen, Bing Zeng

In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal information of adjacent frames.

Video Compression

SteadyFlow: Spatially Smooth Optical Flow for Video Stabilization

no code implementations CVPR 2014 Shuaicheng Liu, Lu Yuan, Ping Tan, Jian Sun

We propose a novel motion model, SteadyFlow, to represent the motion between neighboring video frames for stabilization.

Video Stabilization

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