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Found 8 papers, 3 papers with code
Low-Latency Neural Stereo Streaming
The rise of new video modalities like virtual reality or autonomous driving has increased the demand for efficient multi-view video compression methods, both in terms of rate-distortion (R-D) performance and in terms of delay and runtime.
Auxiliary Features-Guided Super Resolution for Monte Carlo Rendering
This paper investigates super resolution to reduce the number of pixels to render and thus speed up Monte Carlo rendering algorithms.
A Perceptual Quality Metric for Video Frame Interpolation
In this paper, we present a dedicated perceptual quality metric for measuring video frame interpolation results.
Automatic Portrait Video Matting via Context Motion Network
To capture the motion information, we estimate the optical flow and design a context-motion updating operator to integrate features between frames recurrently.
Fast Monte Carlo Rendering via Multi-Resolution Sampling
Specifically, we formulate this fusion task as a super resolution problem that generates a high resolution rendering from a low resolution input (LRHS), assisted with the HRLS rendering.
Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation
Our method employs two encoder networks to extract essential information for matting.
Ranked #11 on
Image Matting
on Composition-1K
Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification
The class-identity term keeps the intra-class samples within each camera view gathering together, the relative distance term maximizes the distance between the intra-class class set and inter-class set across different camera views, and the regularization term smoothness the parameters of deep convolutional neural network (CNN).
Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification
In this paper, we present a novel deep ranking model with feature learning and fusion by learning a large adaptive margin between the intra-class distance and inter-class distance to solve the person re-identification problem.
