Raw Image Deblurring
Deep learning-based blind image deblurring plays an essential role in solving image blur since all existing kernels are limited in modeling the real…
Read moreDeep learning-based blind image deblurring plays an essential role in solving image blur since all existing kernels are limited in modeling the real…
Read moreThe pedestrian attribute recognition aims at generating the structured description of pedestrian, which plays an important role in surveillance…
Read moreIn this paper, we present LensCast, a novel cross-layer video transmission framework for wireless networks, which seamlessly integrates millimeter…
Read moreLow light images suffer from a low dynamic range and severe noise due to low signal-to-noise ratio (SNR). In this paper, we propose joint contrast…
Read moreOmnidirectional video, also known as 360-degree video, has become increasingly popular nowadays due to its ability to provide immersive and…
Read moreMulti-modal hashing focuses on fusing different modalities and exploring the complementarity of heterogeneous multi-modal data for compact hash…
Read moreIn multi-view subspace clustering, the low-rankness of the stacked self-representation tensor is widely accepted to capture the high-order cross-view…
Read moreThe video captioning task aims to describe video content using several natural-language sentences. Although one-step encoder-decoder models have…
Read moreThe prevailing use of both images and text to express opinions on the web leads to the need for multimodal sentiment recognition. Some commonly used…
Read moreRecently, dense video captioning has made attractive progress in detecting and captioning all events in a long untrimmed video. Despite promising…
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