Joint rain detection and removal from a single image with contextualized deep networks
Rain streaks, particularly in heavy rain, not only degrade visibility but also make many
computer vision algorithms fail to function properly. In this paper, we address this visibility …
computer vision algorithms fail to function properly. In this paper, we address this visibility …
Video coding for machines: A paradigm of collaborative compression and intelligent analytics
Video coding, which targets to compress and reconstruct the whole frame, and feature
compression, which only preserves and transmits the most critical information, stand at two …
compression, which only preserves and transmits the most critical information, stand at two …
Frame-consistent recurrent video deraining with dual-level flow
In this paper, we address the problem of rain removal from videos by proposing a more
comprehensive framework that considers the additional degradation factors in real scenes …
comprehensive framework that considers the additional degradation factors in real scenes …
DMCNN: Dual-domain multi-scale convolutional neural network for compression artifacts removal
JPEG is one of the most commonly used standards among lossy image compression
methods. However, JPEG compression inevitably introduces various kinds of artifacts …
methods. However, JPEG compression inevitably introduces various kinds of artifacts …
Scale-free single image deraining via visibility-enhanced recurrent wavelet learning
In this paper, we address a rain removal problem from a single image, even in the presence
of large rain streaks and rain streak accumulation (where individual streaks cannot be seen …
of large rain streaks and rain streak accumulation (where individual streaks cannot be seen …
D3r-net: Dynamic routing residue recurrent network for video rain removal
In this paper, we address the problem of video rain removal by considering rain occlusion
regions, ie, very low light transmittance for rain streaks. Different from additive rain streaks, in …
regions, ie, very low light transmittance for rain streaks. Different from additive rain streaks, in …
Recent advances on HEVC inter-frame coding: From optimization to implementation and beyond
High Efficiency Video Coding (HEVC) has doubled the video compression ratio with
equivalent subjective quality as compared to its predecessor H. 264/AVC. The significant …
equivalent subjective quality as compared to its predecessor H. 264/AVC. The significant …
Progressive spatial recurrent neural network for intra prediction
Intra prediction is an important component of modern video codecs, which is able to
efficiently squeeze out the spatial redundancy in video frames. With preceding pixels as the …
efficiently squeeze out the spatial redundancy in video frames. With preceding pixels as the …
Frame-wise CNN-based filtering for intra-frame quality enhancement of HEVC videos
The paper proposes a novel frame-wise filtering method based on Convolutional Neural
Networks (CNNs) for enhancing the quality of HEVC decoded videos. A novel deep neural …
Networks (CNNs) for enhancing the quality of HEVC decoded videos. A novel deep neural …
CNN-based intra-prediction for lossless HEVC
The paper proposes a novel block-wise prediction paradigm based on Convolutional Neural
Networks (CNNs) for lossless video coding. A deep neural network model which follows a …
Networks (CNNs) for lossless video coding. A deep neural network model which follows a …