TOC Alert for Publication# 34
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Editorial: Learning With Fewer Labels in Computer Vision

Undoubtedly, Deep Neural Networks (DNNs), from AlexNet to ResNet to Transformer, have sparked revolutionary advancements in diverse computer vision tasks. The scale of DNNs has grown exponentially due to the rapid development of computational resources. Despite the tremendous success, DNNs typically depend on massive amounts of training data (especially...

Fri Feb 9, 2024 02:10
Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches

Eye gaze analysis is an important research problem in the field of Computer Vision and Human-Computer Interaction. Even with notable progress in the last 10 years, automatic gaze analysis still remains challenging due to the uniqueness of eye appearance, eye-head interplay, occlusion, image quality, and illumination conditions. There are several open...

Fri Dec 8, 2023 02:29
Publications Seek 2025 Editors in Chief

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Tue Nov 7, 2023 02:35
IEEE Computer Society Has You Covered!

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Tue Nov 7, 2023 02:35
What Makes for Hierarchical Vision Transformer?

Recent studies indicate that hierarchical Vision Transformer (ViT) with a macro architecture of interleaved non-overlapped window-based self-attention & shifted-window operation can achieve state-of-the-art performance in various visual recognition tasks, and challenges the ubiquitous convolutional neural networks (CNNs) using densely slid kernels....

Fri Sep 8, 2023 13:43

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