48 citations · 118 across the 29 of their papers we have counts for
25 papers · 1 filter
Practical Noise Modeling for SPAD Intensity Imaging
Wendi Liu, Yujie Lu, Zengxi Zhang +3
Single-photon avalanche diode (SPAD) cameras are promising for low-light and high-dynamic-range intensity imaging, but their practical use is limited by complex sensor-specific noi…
Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling
Zhiling Guo, Yinqiang Zheng, Haoran Zhang +4
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. In thi…
Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
Tianhe Wu, Shuwei Shi, Haoming Cai +4
Blind Omnidirectional Image Quality Assessment (BOIQA) aims to objectively assess the human perceptual quality of omnidirectional images (ODIs) without relying on pristine-quality…
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
Mingdeng Cao, Xintao Wang, Zhongang Qi +3
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…
Visibility Constrained Wide-band Illumination Spectrum Design for Seeing-in-the-Dark
Muyao Niu, Zhuoxiao Li, Zhihang Zhong +1
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. Existing arts…
Fooling Polarization-based Vision using Locally Controllable Polarizing Projection
Zhuoxiao Li, Zhihang Zhong, Shohei Nobuhara +2
Polarization is a fundamental property of light that encodes abundant information regarding surface shape, material, illumination and viewing geometry. The computer vision communit…
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Hui Wei, Zhixiang Wang, Xuemei Jia +4
Adversarial attacks on thermal infrared imaging expose the risk of related applications. Estimating the security of these systems is essential for safely deploying them in the real…
ClipCrop: Conditioned Cropping Driven by Vision-Language Model
Zhihang Zhong, Mingxi Cheng, Zhirong Wu +7
Image cropping has progressed tremendously under the data-driven paradigm. However, current approaches do not account for the intentions of the user, which is an issue especially w…
Blur Interpolation Transformer for Real-World Motion from Blur
Zhihang Zhong, Mingdeng Cao, Xiang Ji +2
This paper studies the challenging problem of recovering motion from blur, also known as joint deblurring and interpolation or blur temporal super-resolution. The challenges are tw…
End-to-End Context-Aided Unicity Matching for Person Re-identification
Min Cao, Cong Ding, Chen Chen +2
Most existing person re-identification methods compute the matching relations between person images across camera views based on the ranking of the pairwise similarities. This matc…
Towards Real-World Video Deblurring by Exploring Blur Formation Process
Mingdeng Cao, Zhihang Zhong, Yanbo Fan +5
This paper aims at exploring how to synthesize close-to-real blurs that existing video deblurring models trained on them can generalize well to real-world blurry videos. In recent…
Efficient Video Deblurring Guided by Motion Magnitude
Yusheng Wang, Yunfan Lu, Ye Gao +4
Video deblurring is a highly under-constrained problem due to the spatially and temporally varying blur. An intuitive approach for video deblurring includes two steps: a) detecting…
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
Zhihang Zhong, Xiao Sun, Zhirong Wu +3
We study the challenging problem of recovering detailed motion from a single motion-blurred image. Existing solutions to this problem estimate a single image sequence without consi…
Learning Adaptive Warping for Real-World Rolling Shutter Correction
Mingdeng Cao, Zhihang Zhong, Jiahao Wang +2
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. Mobile devices in…
Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature
Zhixiang Wang, Xiang Ji, Jia-Bin Huang +3
Most computer vision systems assume distortion-free images as inputs. The widely used rolling-shutter (RS) image sensors, however, suffer from geometric distortion when the camera…
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
Zhihang Zhong, Mingdeng Cao, Xiao Sun +5
Rolling shutter (RS) distortion can be interpreted as the result of picking a row of pixels from instant global shutter (GS) frames over time during the exposure of the RS camera.…
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
Xianzheng Ma, Zhixiang Wang, Yacheng Zhan +4
Although considerable progress has been made in semantic scene understanding under clear weather, it is still a tough problem under adverse weather conditions, such as dense fog, d…
Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network
Zhihang Zhong, Ye Gao, Yinqiang Zheng +2
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 computati…
Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance
Ziang Cheng, Hongdong Li, Yuta Asano +2
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 reconstr…
One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet
Ziang Cheng, Hongdong Li, Richard Hartley +2
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 c…
Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
Zhihang Zhong, Yinqiang Zheng, Imari Sato
Joint rolling shutter correction and deblurring (RSCD) techniques are critical for the prevalent CMOS cameras. However, current approaches are still based on conventional energy op…
A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor
Sijia Wen, Yinqiang Zheng, Feng Lu
The emergence of the single-chip polarized color sensor now allows for simultaneously capturing chromatic and polarimetric information of the scene on a monochromatic image plane.…
Stereo relative pose from line and point feature triplets
Alexander Vakhitov, Victor Lempitsky, Yinqiang Zheng
Stereo relative pose problem lies at the core of stereo visual odometry systems that are used in many applications. In this work, we present two minimal solvers for the stereo rela…
Virtual Blood Vessels in Complex Background using Stereo X-ray Images
Qiuyu Chen, Ryoma Bise, Lin Gu +5
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. Currently, typi…