activity
20222024
most citedFacialFlowNet: Advancing Facial Optical Flow Estimation with a Diverse Dataset and a Decomposed Model

4 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024★ 4 cited

FacialFlowNet: Advancing Facial Optical Flow Estimation with a Diverse Dataset and a Decomposed Model

Jianzhi Lu, Ruian He, Shili Zhou +2

Facial movements play a crucial role in conveying altitude and intentions, and facial optical flow provides a dynamic and detailed representation of it. However, the scarcity of da…

cs.CV2024★ 1 cited

Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation

Ri Cheng, Ruian He, Xuhao Jiang +3

Existing recurrent optical flow estimation networks are computationally expensive since they use a fixed large number of iterations to update the flow field for each sample. An eff…

cs.CV2023

Low-latency Space-time Supersampling for Real-time Rendering

Ruian He, Shili Zhou, Yuqi Sun +3

With the rise of real-time rendering and the evolution of display devices, there is a growing demand for post-processing methods that offer high-resolution content in a high frame…

cs.CV2023

MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior

Shili Zhou, Xuhao Jiang, Weimin Tan +2

In recent years, many deep learning-based methods have been proposed to tackle the problem of optical flow estimation and achieved promising results. However, they hardly consider…

cs.CV2023★ 1 cited

SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model

Shili Zhou, Ruian He, Weimin Tan +1

Optical Flow Estimation aims to find the 2D dense motion field between two frames. Due to the limitation of model structures and training datasets, existing methods often rely too…

cs.CV2023★ 1 cited

Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation

Ri Cheng, Xuhao Jiang, Ruian He +3

The video frame interpolation (VFI) model applies the convolution operation to all locations, leading to redundant computations in regions with easy motion. We can use dynamic spat…

cs.CV2022

Learning Parallax Transformer Network for Stereo Image JPEG Artifacts Removal

Xuhao Jiang, Weimin Tan, Ri Cheng +2

Under stereo settings, the performance of image JPEG artifacts removal can be further improved by exploiting the additional information provided by a second view. However, incorpor…