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20232026
most citedRhythmFormer: Extracting Patterned rPPG Signals based on Periodic Sparse Attention

8 citations · 18 across the 14 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion

Jiawei Li, Hongwei Yu, Jiansheng Chen +5

Infrared and visible image fusion (IVIF) is a crucial technique for enhancing visual performance by integrating unique information from different modalities into one fused image. E…

cs.CV2024★ 1 cited

Synergistic Spotting and Recognition of Micro-Expression via Temporal State Transition

Bochao Zou, Zizheng Guo, Wenfeng Qin +3

Micro-expressions are involuntary facial movements that cannot be consciously controlled, conveying subtle cues with substantial real-world applications. The analysis of micro-expr…

cs.LG2024

Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training

Kun Song, Zhiquan Tan, Bochao Zou +3

In this paper, we introduce matrix entropy as an analytical tool for studying supervised learning, investigating the information content of data representations and classification…

cs.LG2024

Unveiling the Dynamics of Information Interplay in Supervised Learning

Kun Song, Zhiquan Tan, Bochao Zou +2

In this paper, we use matrix information theory as an analytical tool to analyze the dynamics of the information interplay between data representations and classification head vect…

cs.CV2024★ 6 cited

RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement

Bochao Zou, Zizheng Guo, Xiaocheng Hu +1

Remote photoplethysmography (rPPG) is a method for non-contact measurement of physiological signals from facial videos, holding great potential in various applications such as heal…

cs.CV2024★ 8 cited

RhythmFormer: Extracting Patterned rPPG Signals based on Periodic Sparse Attention

Bochao Zou, Zizheng Guo, Jiansheng Chen +3

Remote photoplethysmography (rPPG) is a non-contact method for detecting physiological signals based on facial videos, holding high potential in various applications. Due to the pe…