Search Results for author: Yinqiang Zheng

Found 60 papers, 21 papers with code

Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection

no code implementations27 Sep 2023 Lukas Strack, Futa Waseda, Huy H. Nguyen, Yinqiang Zheng, Isao Echizen

To address this problem, we are the first to investigate defense strategies against adversarial patch attacks on infrared detection, especially human detection.

Data Augmentation Human Detection

Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling

no code implementations24 Jun 2023 Zhiling Guo, Yinqiang Zheng, Haoran Zhang, Xiaodan Shi, Zekun Cai, Ryosuke Shibasaki, Jinyue Yan

In recent years, single-frame image super-resolution (SR) has become more realistic by considering the zooming effect and using real-world short- and long-focus image pairs.

Image Super-Resolution

MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

2 code implementations ICCV 2023 Mingdeng Cao, Xintao Wang, Zhongang Qi, Ying Shan, XiaoHu Qie, Yinqiang Zheng

Despite the success in large-scale text-to-image generation and text-conditioned image editing, existing methods still struggle to produce consistent generation and editing results.

Text-based Image Editing

Fooling Polarization-based Vision using Locally Controllable Polarizing Projection

no code implementations31 Mar 2023 Zhuoxiao Li, Zhihang Zhong, Shohei Nobuhara, Ko Nishino, Yinqiang Zheng

If so, is that possible to realize these adversarial attacks in the physical world, without being perceived by human eyes?

Color Constancy Reflection Removal +1

Visibility Constrained Wide-band Illumination Spectrum Design for Seeing-in-the-Dark

1 code implementation CVPR 2023 Muyao Niu, Zhuoxiao Li, Zhihang Zhong, Yinqiang Zheng

Seeing-in-the-dark is one of the most important and challenging computer vision tasks due to its wide applications and extreme complexities of in-the-wild scenarios.


Single Image Deblurring with Row-dependent Blur Magnitude

no code implementations ICCV 2023 Xiang Ji, Zhixiang Wang, Shin'ichi Satoh, Yinqiang Zheng

Image degradation often occurs during fast camera or object movements, regardless of the exposure modes: global shutter (GS) or rolling shutter (RS).

Deblurring Image Deblurring

NeRFrac: Neural Radiance Fields through Refractive Surface

1 code implementation ICCV 2023 Yifan Zhan, Shohei Nobuhara, Ko Nishino, Yinqiang Zheng

We introduce NeRFrac to realize neural novel view synthesis of scenes captured through refractive surfaces, typically water surfaces.

Novel View Synthesis

NIR-assisted Video Enhancement via Unpaired 24-hour Data

1 code implementation ICCV 2023 Muyao Niu, Zhihang Zhong, Yinqiang Zheng

In this paper, we defend the feasibility and superiority of NIR-assisted low-light video enhancement results by using unpaired 24-hour data for the first time, which significantly eases data collection and improves generalization performance on in-the-wild data.

Video Enhancement

Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation

no code implementations ICCV 2023 Xiang Ji, Zhixiang Wang, Zhihang Zhong, Yinqiang Zheng

Image restoration from various motion-related degradations, like blurry effects recorded by a global shutter (GS) and jello effects caused by a rolling shutter (RS), has been extensively studied.

Disentanglement Image Restoration +1

High-Fidelity Event-Radiance Recovery via Transient Event Frequency

1 code implementation CVPR 2023 Jin Han, Yuta Asano, Boxin Shi, Yinqiang Zheng, Imari Sato

High-fidelity radiance recovery plays a crucial role in scene information reconstruction and understanding.

Polarized Color Image Denoising

no code implementations CVPR 2023 Zhuoxiao Li, Haiyang Jiang, Mingdeng Cao, Yinqiang Zheng

Single-chip polarized color photography provides both visual textures and object surface information in one snapshot.

Color Image Denoising Image Denoising

Blur Interpolation Transformer for Real-World Motion from Blur

1 code implementation CVPR 2023 Zhihang Zhong, Mingdeng Cao, Xiang Ji, Yinqiang Zheng, Imari Sato

This paper studies the challenging problem of recovering motion from blur, also known as joint deblurring and interpolation or blur temporal super-resolution.

Deblurring Super-Resolution

Towards Real-World Video Deblurring by Exploring Blur Formation Process

1 code implementation28 Aug 2022 Mingdeng Cao, Zhihang Zhong, Yanbo Fan, Jiahao Wang, Yong Zhang, Jue Wang, Yujiu Yang, Yinqiang Zheng

We believe the novel realistic synthesis pipeline and the corresponding RAW video dataset can help the community to easily construct customized blur datasets to improve real-world video deblurring performance largely, instead of laboriously collecting real data pairs.


Efficient Video Deblurring Guided by Motion Magnitude

3 code implementations27 Jul 2022 Yusheng Wang, Yunfan Lu, Ye Gao, Lin Wang, Zhihang Zhong, Yinqiang Zheng, Atsushi Yamashita

Video deblurring is a highly under-constrained problem due to the spatially and temporally varying blur.

Deblurring Optical Flow Estimation

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

1 code implementation20 Jul 2022 Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato

Existing solutions to this problem estimate a single image sequence without considering the motion ambiguity for each region.

Optical Flow Estimation Quantization

Polarized Color Image Denoising using Pocoformer

no code implementations1 Jul 2022 Zhuoxiao Li, Haiyang Jiang, Yinqiang Zheng

Polarized color photography provides both visual textures and object surficial information in one single snapshot.

Color Image Denoising Image Denoising

Learning Adaptive Warping for Real-World Rolling Shutter Correction

1 code implementation CVPR 2022 Mingdeng Cao, Zhihang Zhong, Jiahao Wang, Yinqiang Zheng, Yujiu Yang

This paper proposes the first real-world rolling shutter (RS) correction dataset, BS-RSC, and a corresponding model to correct the RS frames in a distorted video.

Rolling Shutter Correction

Bringing Rolling Shutter Images Alive with Dual Reversed Distortion

1 code implementation12 Mar 2022 Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato

In this paper, instead of two consecutive frames, we propose to exploit a pair of images captured by dual RS cameras with reversed RS directions for this highly challenging task.

Optical Flow Estimation

Optimal LED Spectral Multiplexing for NIR2RGB Translation

1 code implementation CVPR 2022 Lei Liu, Yuze Chen, Junchi Yan, Yinqiang Zheng

The industry practice for night video surveillance is to use auxiliary near-infrared (NIR) LED diodes, usually centered at 850nm or 940nm, for scene illumination.


Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding

no code implementations CVPR 2022 Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin

Unlike previous methods that mainly focus on closing the domain gap caused by fog -- defogging the foggy images or fogging the clear images, we propose to alleviate the domain gap by considering fog influence and style variation simultaneously.

Disentanglement Domain Adaptation +1

Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network

1 code implementation ECCV 2020 Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng, Imari Sato

Real-world video deblurring in real time still remains a challenging task due to the complexity of spatially and temporally varying blur itself and the requirement of low computational cost.

Ranked #30 on Image Deblurring on GoPro (using extra training data)

Deblurring Image Deblurring

4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis

no code implementations CVPR 2021 Weihang Liao, Art Subpa-Asa, Yinqiang Zheng, Imari Sato

Hyperspectral photoacoustic (HSPA) spectroscopy is an emerging bi-modal imaging technology that is able to show the wavelength-dependent absorption distribution of the interior of a 3D volume.

Event-Based Bispectral Photometry Using Temporally Modulated Illumination

no code implementations CVPR 2021 Tsuyoshi Takatani, Yuzuha Ito, Ayaka Ebisu, Yinqiang Zheng, Takahito Aoto

Analysis of bispectral difference plays a critical role in various applications that involve rays propagating in a light absorbing medium.

3D Shape Reconstruction Quantization

Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance

1 code implementation CVPR 2021 Ziang Cheng, Hongdong Li, Yuta Asano, Yinqiang Zheng, Imari Sato

Recovering the 3D geometry of a purely texture-less object with generally unknown surface reflectance (e. g. non-Lambertian) is regarded as a challenging task in multi-view reconstruction.

3D Object Reconstruction 3D Reconstruction +2

One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet

no code implementations11 Apr 2021 Ziang Cheng, Hongdong Li, Richard Hartley, Yinqiang Zheng, Imari Sato

This paper proposes a simple method which solves an open problem of multi-view 3D-Reconstruction for objects with unknown and generic surface materials, imaged by a freely moving camera and a freely moving point light source.

3D Reconstruction Multi-View 3D Reconstruction +3

Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes

1 code implementation CVPR 2021 Zhihang Zhong, Yinqiang Zheng, Imari Sato

Since direct application of existing individual rolling shutter correction (RSC) or global shutter deblurring (GSD) methods on RSCD leads to undesirable results due to inherent flaws in the network architecture, we further present the first learning-based model (JCD) for RSCD.

Deblurring Rolling Shutter Correction

Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB

no code implementations CVPR 2021 Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng

To reconstruct spectral signals from multi-channel observations, in particular trichromatic RGBs, has recently emerged as a promising alternative to traditional scanning-based spectral imager.

Spectral Reconstruction

Optical Flow in the Dark

no code implementations CVPR 2020 Yinqiang Zheng, Mingfang Zhang, Feng Lu

Many successful optical flow estimation methods have been proposed, but they become invalid when tested in dark scenes because low-light scenarios are not considered when they are designed and current optical flow benchmark datasets lack low-light samples.

Optical Flow Estimation

An Integrated Enhancement Solution for 24-hour Colorful Imaging

no code implementations10 May 2020 Feifan Lv, Yinqiang Zheng, Yicheng Li, Feng Lu

The current industry practice for 24-hour outdoor imaging is to use a silicon camera supplemented with near-infrared (NIR) illumination.

A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor

no code implementations16 Dec 2019 Sijia Wen, Yinqiang Zheng, Feng Lu

Instead of mechanically demosaicing for the multi-channel polarized color image, we further present a sparse representation-based optimization strategy that utilizes chromatic information and polarimetric information to jointly optimize the model.


Hyperspectral City V1.0 Dataset and Benchmark

no code implementations24 Jul 2019 Shaodi You, Erqi Huang, Shuaizhe Liang, Yongrong Zheng, Yunxiang Li, Fan Wang, Sen Lin, Qiu Shen, Xun Cao, Diming Zhang, Yuanjiang Li, Yu Li, Ying Fu, Boxin Shi, Feng Lu, Yinqiang Zheng, Robby T. Tan

This document introduces the background and the usage of the Hyperspectral City Dataset and the benchmark.

Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

no code implementations24 May 2019 Zheng Wang, Zhixiang Wang, Yinqiang Zheng, Yang Wu, Wen-Jun Zeng, Shin'ichi Satoh

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis.

Person Re-Identification

Illumination-Adaptive Person Re-identification

no code implementations11 May 2019 Zelong Zeng, Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, Shin'ichi Satoh

To demonstrate the illumination issue and to evaluate our model, we construct two large-scale simulated datasets with a wide range of illumination variations.

Disentanglement Person Re-Identification +2

Coded Illumination and Imaging for Fluorescence Based Classification

no code implementations ECCV 2018 Yuta Asano, Misaki Meguro, Chao Wang, Antony Lam, Yinqiang Zheng, Takahiro Okabe, Imari Sato

The quick detection of specific substances in objects such as produce items via non-destructive visual cues is vital to ensuring the quality and safety of consumer products.

Classification General Classification +1

Polarimetric Three-View Geometry

no code implementations ECCV 2018 Lixiong Chen, Yinqiang Zheng, Art Subpa-Asa, Imari Sato

This paper theorizes the connection between polarization and three-view geometry.


Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery

no code implementations ECCV 2018 Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang

Hyperspectral image (HSI) recovery from a single RGB image has attracted much attention, whose performance has recently been shown to be sensitive to the camera spectral sensitivity (CSS).

Simultaneous 3D Reconstruction for Water Surface and Underwater Scene

no code implementations ECCV 2018 Yiming Qian, Yinqiang Zheng, Minglun Gong, Yee-Hong Yang

This paper presents the first approach for simultaneously recovering the 3D shape of both the wavy water surface and the moving underwater scene.

3D Reconstruction Optical Flow Estimation

Deeply Learned Filter Response Functions for Hyperspectral Reconstruction

no code implementations CVPR 2018 Shijie Nie, Lin Gu, Yinqiang Zheng, Antony Lam, Nobutaka Ono, Imari Sato

More interestingly, by considering physical restrictions in the design process, we are able to realize the deeply learned spectral response functions by using modern film filter production technologies, and thus construct data-inspired multispectral cameras for snapshot hyperspectral imaging.

Spectral Reconstruction

Camera Pose Estimation With Unknown Principal Point

no code implementations CVPR 2018 Viktor Larsson, Zuzana Kukelova, Yinqiang Zheng

To estimate the 6-DoF extrinsic pose of a pinhole camera with partially unknown intrinsic parameters is a critical sub-problem in structure-from-motion and camera localization.

Camera Localization Pose Estimation

From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping

no code implementations ICCV 2017 Yan Jia, Yinqiang Zheng, Lin Gu, Art Subpa-Asa, Antony Lam, Yoichi Sato, Imari Sato

Spectral analysis of natural scenes can provide much more detailed information about the scene than an ordinary RGB camera.

Dimensionality Reduction

A Microfacet-Based Reflectance Model for Photometric Stereo With Highly Specular Surfaces

no code implementations ICCV 2017 Lixiong Chen, Yinqiang Zheng, Boxin Shi, Art Subpa-Asa, Imari Sato

Recent developments in the field have enabled shape recovery techniques for surfaces of various types, but an effective solution to directly estimating the surface normal in the presence of highly specular reflectance remains elusive.

Making Minimal Solvers for Absolute Pose Estimation Compact and Robust

no code implementations ICCV 2017 Viktor Larsson, Zuzana Kukelova, Yinqiang Zheng

In this paper we present new techniques for constructing compact and robust minimal solvers for absolute pose estimation.

Pose Estimation

Virtual Blood Vessels in Complex Background using Stereo X-ray Images

no code implementations22 Sep 2017 Qiuyu Chen, Ryoma Bise, Lin Gu, Yinqiang Zheng, Imari Sato, Jenq-Neng Hwang, Nobuaki Imanishi, Sadakazu Aiso

We propose a fully automatic system to reconstruct and visualize 3D blood vessels in Augmented Reality (AR) system from stereo X-ray images with bones and body fat.

Stereo Matching Stereo Matching Hand

Image Restoration from Patch-based Compressed Sensing Measurement

no code implementations2 Jun 2017 Guangtao Nie, Ying Fu, Yinqiang Zheng, Hua Huang

A series of methods have been proposed to reconstruct an image from compressively sensed random measurement, but most of them have high time complexity and are inappropriate for patch-based compressed sensing capture, because of their serious blocky artifacts in the restoration results.

Compressive Sensing Image Reconstruction +1

Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration

no code implementations CVPR 2016 Ying Fu, Yinqiang Zheng, Imari Sato, Yoichi Sato

In this paper, we propose an effective method for coded hyperspectral image restoration, which exploits extensive structure sparsity in the hyperspectral image.

Image Restoration

A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length

no code implementations CVPR 2016 Yinqiang Zheng, Laurent Kneip

The advantages of our proposed solution over existing ones are that (i) the objective function is directly built upon the imaging equation, such that all the 3D-to-2D correspondences are treated with balance, and that (ii) the proposed solution is noniterative, in the sense that the stationary points are retrieved by means of standard eigenvalue factorization and the common iterative refinement step is not needed.

Pose Estimation

Separating Fluorescent and Reflective Components by Using a Single Hyperspectral Image

no code implementations ICCV 2015 Yinqiang Zheng, Ying Fu, Antony Lam, Imari Sato, Yoichi Sato

This paper introduces a novel method to separate fluorescent and reflective components in the spectral domain.

Illumination and Reflectance Spectra Separation of a Hyperspectral Image Meets Low-Rank Matrix Factorization

no code implementations CVPR 2015 Yinqiang Zheng, Imari Sato, Yoichi Sato

This paper addresses the illumination and reflectance spectra separation (IRSS) problem of a hyperspectral image captured under general spectral illumination.

Partial Symmetry in Polynomial Systems and its Applications in Computer Vision

no code implementations CVPR 2014 Yubin Kuang, Yinqiang Zheng, Kalle Astrom

Algorithms for solving systems of polynomial equations are key components for solving geometry problems in computer vision.

A General and Simple Method for Camera Pose and Focal Length Determination

no code implementations CVPR 2014 Yinqiang Zheng, Shigeki Sugimoto, Imari Sato, Masatoshi Okutomi

In this paper, we revisit the pose determination problem of a partially calibrated camera with unknown focal length, hereafter referred to as the PnPf problem, by using n (n ≥ 4) 3D-to-2D point correspondences.

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