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20212026
most citedVarifocal Multiview Images: Capturing and Visual Tasks

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ByteAction: Byte-space Action Recognition Foundation Model

Fangcheng Li, Zhen Yu, Kejun Wu +2

Byte-space Action Recognition (BAR) aims to recognize human actions directly from compressed image bitstreams without any pixel decoding. By operating entirely in byte space, BAR i…

cs.CV2024

Extending Depth of Field for Varifocal Multiview Images

Zhilong Li, Kejun Wu, Qiong Liu +1

Optical imaging systems are generally limited by the depth of field because of the nature of the optics. Therefore, extending depth of field (EDoF) is a fundamental task for meetin…

cs.CV2023★ 1 cited

Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method

Tianyi Liu, Kejun Wu, Yi Wang +3

The past decade has witnessed great strides in video recovery by specialist technologies, like video inpainting, completion, and error concealment. However, they typically simulate…

cs.CV2023★ 2 cited

A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings

Wenyang Liu, Yi Wang, Kejun Wu +2

File fragment classification (FFC) on small chunks of memory is essential in memory forensics and Internet security. Existing methods mainly treat file fragments as 1d byte signals…

eess.IV2021★ 4 cited

Varifocal Multiview Images: Capturing and Visual Tasks

Kejun Wu, Qiong Liu, Guoan Li +2

Multiview images have flexible field of view (FoV) but inflexible depth of field (DoF). To overcome the limitation of multiview images on visual tasks, in this paper, we present va…