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20202023
most citedMultimodal Contrastive Training for Visual Representation Learning

17 citations · 48 across the 12 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 3 cited

Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork

Xin Yuan, Zhe Lin, Jason Kuen +2

We develop an approach for text-to-image generation that embraces additional retrieval images, driven by a combination of implicit visual guidance loss and generative objectives. U…

eess.IV2022★ 2 cited

Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms

Siming Zheng, Yujia Xue, Waleed Tahir +6

We consider the image and video compression on resource limited platforms. An ultra low-cost image encoder, named Block Modulating Video Compression (BMVC) with an encoding complex…

cs.CV2022★ 1 cited

Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing

Ruiying Lu, Ziheng Cheng, Bo Chen +1

Video snapshot compressive imaging (SCI) utilizes a 2D detector to capture sequential video frames and compress them into a single measurement. Various reconstruction methods have…

eess.IV2022★ 7 cited

Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing

Siming Zheng, Xiaoyu Yang, Xin Yuan

We consider the reconstruction problem of video compressive sensing (VCS) under the deep unfolding/rolling structure. Yet, we aim to build a flexible and concise model using minimu…

eess.IV2022★ 5 cited

Ensemble learning priors unfolding for scalable Snapshot Compressive Sensing

Chengshuai Yang, Shiyu Zhang, Xin Yuan

Snapshot compressive imaging (SCI) can record the 3D information by a 2D measurement and from this 2D measurement to reconstruct the original 3D information by reconstruction algor…