activity
20222026
most citedContext-Aware Iteration Policy Network for Efficient Optical Flow Estimation

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Towards Color-Faithful Low-Light Image Enhancement via Adaptive Color Debiasing and Saturation Rectification

Zhichen Yang, Rui Xu, Yuzhen Niu +3

Low-light imaging often introduces color bias caused by the low signal-to-noise ratio and the image formation process. Although recent low-light image enhancement methods have achi…

cs.CV2026

Modality-Specific Hierarchical Enhancement for RGB-D Camouflaged Object Detection

Yuzhen Niu, Yangqing Wang, Ri Cheng +3

Camouflaged object detection (COD) is challenging due to high target-background similarity, and recent methods address this by complementarily using RGB-D texture and geometry cues…

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★ 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

Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution

Ri Cheng, Yuqi Sun, Bo Yan +2

Recent multi-view multimedia applications struggle between high-resolution (HR) visual experience and storage or bandwidth constraints. Therefore, this paper proposes a Multi-View…

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…