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20152026
most citedAnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation

2 citations · 2 across the 4 of their papers we have counts for

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cs.CV2026

LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models

Mingyang Xie, Numair Khan, Tianfu Wang +8

Given a monocular video, the goal of video re-rendering is to generate views of the scene from a novel camera trajectory. Existing methods face two distinct challenges. Geometrical…

cs.CV2024

UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model

Shuai Yuan, Lei Luo, Zhuo Hui +4

Traditional unsupervised optical flow methods are vulnerable to occlusions and motion boundaries due to lack of object-level information. Therefore, we propose UnSAMFlow, an unsupe…

cs.CV2023★ 2 cited

AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation

Hyunyoung Jung, Zhuo Hui, Lei Luo +5

To apply optical flow in practice, it is often necessary to resize the input to smaller dimensions in order to reduce computational costs. However, downsizing inputs makes the esti…

cs.CV2018

Learning to Separate Multiple Illuminants in a Single Image

Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli +1

We present a method to separate a single image captured under two illuminants, with different spectra, into the two images corresponding to the appearance of the scene under each i…

cs.CV2017

Illuminant Spectra-based Source Separation Using Flash Photography

Zhuo Hui, Kalyan Sunkavalli, Sunil Hadap +1

Real-world lighting often consists of multiple illuminants with different spectra. Separating and manipulating these illuminants in post-process is a challenging problem that requi…

cs.CV2016

An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection

Zhuo Hui, Wen-Sheng Chu

Biologically inspired features, such as Gabor filters, result in very high dimensional measurement. Does reducing the dimensionality of the feature space afford advantages beyond c…