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20172022
most citedTowards Rolling Shutter Correction and Deblurring in Dynamic Scenes

4 citations · 11 across the 5 of their papers we have counts for

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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.CV20213 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.CV20212 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.CV20214 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

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…