Blog(1)

• Mobile Twin Recognition

  Almost all of us has one or more smartphones, where we keep our personal data such as credit card information, photos, business contacts and so on. It is therefore important to protect this valuable information from unauthorized access.

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Publications(63)

• Normalization is All You Need: Robust Full-Range Contactless SpO2 Estimation Across Users

  AuthorLi Zhu,Mohsin Ahmed,Korosh Vatanparvar,Migyeong Gwak,Nafiul Rashid,Jungmok Bae,Jilong Kuang

  PublishedIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

  Date2024-04-14

• Token Fusion: Bridging the Gap between Token Pruning and Token Merging

  AuthorShangqian Gao,Yen-Chang Hsu,Yilin Shen,Hongxia Jin

  PublishedIEEE Winter Conference on Applications of Computer Vision (WACV)

  Date2024-01-03

• On the (In)Efficiency of Acoustic Features Extractors for Self-Supervised Speech Representation Learning

  AuthorTitouan Parcollet, Shucong Zhang, Rogier Van Dalen, Alberto Gil Ramos, Sourav Bhattacharya

  PublishedConference of the International Speech Communication Association (INTERSPEECH)

  Date2023-08-21

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News(4)

• [Blog] Task Generalizable Spatial and Texture Aware Image Downsizing Network

  Convolutional neural networks (CNNs) are widely used today in various vision tasks such as classification, detection and segmentation.

• [Blog] Dynamic Multi-scale Network for Dual-pixel Images Defocus Deblurring with Transformer

  Recent works achieve excellent results in defocus deblurring task based on dual-pixel data using convolutional neural network (CNN), while the scarcity of data limits the exploration and attempt of vision transformer in this task.

• [Blog] FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout

  Despite the soaring use of convolutional neural networks (CNNs) in mobile applications, uniformly sustaining high-performance inference on mobile has been elusive due to the excessive computational demands of modern CNNs and the increasing diversity of deployed devices. A popular alternative comprises offloading CNN processing to powerful cloud-based servers.

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