activity
20172023
most citedPathological Evidence Exploration in Deep Retinal Image Diagnosis

26 citations · 40 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2023

Towards Monocular Shape from Refraction

Antonin Sulc, Imari Sato, Bastian Goldluecke +1

Refraction is a common physical phenomenon and has long been researched in computer vision. Objects imaged through a refractive object appear distorted in the image as a function o…

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022

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.…

cs.CV2021★ 3 cited

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…

cs.CV2021★ 3 cited

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…

cs.CV2021★ 2 cited

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…

cs.CV2021★ 4 cited

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…

cs.CV2018★ 26 cited

Pathological Evidence Exploration in Deep Retinal Image Diagnosis

Yuhao Niu, Lin Gu, Feng Lu +7

Though deep learning has shown successful performance in classifying the label and severity stage of certain disease, most of them give few evidence on how to make prediction. Here…

cs.CV2017★ 2 cited

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…