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Found 6 papers, 1 papers with code
A Lossless Intra Reference Block Recompression Scheme for Bandwidth Reduction in HEVC-IBC
The reference frame memory accesses in inter prediction result in high DRAM bandwidth requirement and power consumption.
Switchable Temporal Propagation Network
Our approach is based on a temporal propagation network (TPN), which models the transition-related affinity between a pair of frames in a purely data-driven manner.
Learning Video-Story Composition via Recurrent Neural Network
In this paper, we propose a learning-based method to compose a video-story from a group of video clips that describe an activity or experience.
Learning Affinity via Spatial Propagation Networks
Specifically, we develop a three-way connection for the linear propagation model, which (a) formulates a sparse transformation matrix, where all elements can be the output from a deep CNN, but (b) results in a dense affinity matrix that effectively models any task-specific pairwise similarity matrix.
Learning Affinity via Spatial Propagation Network
Specifically, we develop a three-way connection for the linear propagation model, which (a) formulates a sparse transformation matrix, where all elements can be the output from a deep CNN, but (b) results in a dense affinity matrix that effectively models any task-specific pairwise similarity matrix.
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos
Despite rapid advances in face recognition, there remains a clear gap between the performance of still image-based face recognition and video-based face recognition, due to the vast difference in visual quality between the domains and the difficulty of curating diverse large-scale video datasets.
