Typed states for the displayed outbound observations.
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Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2505.16372.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: cited_works
72 of 72 outbound references displayed
External citation measurements
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Observation 9339a778-effb-41ac-bafa-c5744f91944c · outbound
Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Face2exp: Combating data biases for facial expression recognition
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Multi-modal sentiment recognition with residual gating network and emotion intensity attention
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition A multi- domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition.Neural Networks, 188:107457, 2025
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Tackling micro-expression data shortage via dataset alignment and active learning
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Blended emotion in-the-wild: Multi- label facial expression recognition using crowdsourced annotations and deep locality feature learning
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Facial micro-expression recognition using stochastic graph convolutional network and dual transferred learning
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Rethinking the learning paradigm for dynamic facial expression recognition
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Domain knowledge enhanced vision-language pretrained model for dynamic facial expression recognition
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Joint local and global information learning with single apex frame detection for micro- expression recognition
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Facial action unit-based deep learning framework for spotting macro- and micro-expressions in long video sequences
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Cmnet: contrastive magnification network for micro-expression recognition
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Meta-mmfnet: Meta-learning-based multi-model fusion network for micro-expression recognition
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition A review of research on micro-expression recognition algorithms based on deep learning
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Casme database: A dataset of spontaneous micro- expressions collected from neutralized faces
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Casme ii: An improved spontaneous micro- expression database and the baseline evaluation.PLOS ONE, 9(1):1– 8, 01 2014
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition A spontaneous micro-expression database: Inducement, collection and baseline
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Micro-expression spotting: A new benchmark
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Observation fbde95fe-1d4e-4f72-91ed-406d0ad9ebfa · outbound
Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition 4dme: A spontaneous 4d micro-expression dataset with multimodalities.IEEE Transactions on Affective Computing, 14(4):3031–3047, 2023
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Davison, Cliff Lansley, Nicholas Costen, Kevin Tan, and Moi Hoon Yap
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Samm long videos: A spontaneous facial micro- and macro-expressions dataset
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Block division convolutional network with implicit deep features augmentation for micro-expression recognition
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Automatic micro-expression recognition from long video using a single spotted apex
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Micro- expression recognition using color spaces
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition Merastc: Micro-expression recognition using effective feature encodings and 2d convolutional neural network
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Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition A main directional mean optical flow feature for spontaneous micro-expression recognition
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Observation 44769cf5-0375-4141-a69f-447489c5a28e · inbound
AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition
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