Papers Micro-Expression Spotting
“Micro-Expression Spotting” 태그가 달린 논문 16편 · 필터 해제
PESFormer: Boosting Macro- and Micro-expression Spotting with Direct Timestamp Encoding
The task of macro- and micro-expression spotting aims to precisely localize and categorize temporal expression instances within untrimmed videos. Given the sparse distribution and varying durations of expressions, existi…
Binary ClassificationMicro-Expression SpottingSpotFormer: Multi-Scale Spatio-Temporal Transformer for Facial Expression Spotting
Facial expression spotting, identifying periods where facial expressions occur in a video, is a significant yet challenging task in facial expression analysis. The issues of irrelevant facial movements and the challenge …
Contrastive LearningMicro-Expression SpottingOptical Flow EstimationMulti-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting
Facial expression spotting is a significant but challenging task in facial expression analysis. The accuracy of expression spotting is affected not only by irrelevant facial movements but also by the difficulty of percei…
Contrastive LearningMicro-Expression SpottingRMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid
Micro-expressions (MEs) are involuntary and subtle facial expressions that are thought to reveal feelings people are trying to hide. ME spotting detects the temporal intervals containing MEs in videos. Detecting such qui…
Micro-Expression SpottingOptical Flow EstimationAU-aware graph convolutional network for Macro- and Micro-expression spotting
Automatic Micro-Expression (ME) spotting in long videos is a crucial step in ME analysis but also a challenging task due to the short duration and low intensity of MEs. When solving this problem, previous works generally…
Micro-Expression SpottingShallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos
Facial expressions vary from the visible to the subtle. In recent years, the analysis of micro-expressions $-$ a natural occurrence resulting from the suppression of one's true emotions, has drawn the attention of resear…
Micro-Expression SpottingOptical Flow Estimation3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame
Facial expression spotting is the preliminary step for micro- and macro-expression analysis. The task of reliably spotting such expressions in video sequences is currently unsolved. The current best systems depend upon o…
Micro-Expression SpottingOptical Flow EstimationAn Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge
Facial micro-expressions indicate brief and subtle facial movements that appear during emotional communication. In comparison to macro-expressions, micro-expressions are more challenging to be analyzed due to the short s…
DiversityMicro Expression RecognitionMicro-Expression RecognitionMicro-Expression Spotting+1Micro-expression spotting: A new benchmark
Micro-expressions (MEs) are brief and involuntary facial expressions that occur when people are trying to hide their true feelings or conceal their emotions. Based on psychology research, MEs play an important role in un…
Micro-Expression SpottingSpotting Macro- and Micro-expression Intervals in Long Video Sequences
This paper presents baseline results for the Third Facial Micro-Expression Grand Challenge (MEGC 2020). Both macro- and micro-expression intervals in CAS(ME)$^2$ and SAMM Long Videos are spotted by employing the method o…
Micro-Expression SpottingOptical Flow EstimationMicro-expression detection in long videos using optical flow and recurrent neural networks
Facial micro-expressions are subtle and involuntary expressions that can reveal concealed emotions. Micro-expressions are an invaluable source of information in application domains such as lie detection, mental health, s…
Micro-Expression SpottingOptical Flow EstimationSentiment AnalysisADS-ME: Anomaly Detection System for Micro-expression Spotting
Micro-expressions (MEs) are infrequent and uncontrollable facial events that can highlight emotional deception and appear in a high-stakes environment. This paper propose an algorithm for spatiotemporal MEs spotting. Sin…
Anomaly DetectionMicro-Expression SpottingFacial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory
Facial micro-expressions are sudden involuntary minute muscle movements which reveal true emotions that people try to conceal. Spotting a micro-expression and recognizing it is a major challenge owing to its short durati…
Micro-Expression SpottingSpotting Micro-Expressions on Long Videos Sequences
This paper presents baseline results for the first Micro-Expression Spotting Challenge 2019 by evaluating local temporal pattern (LTP) on SAMM and CAS(ME)2. The proposed LTP patterns are extracted by applying PCA in a te…
General ClassificationMicro-Expression SpottingMicro-Expression Spotting: A Benchmark
Micro-expressions are rapid and involuntary facial expressions, which indicate the suppressed or concealed emotions. Recently, the research on automatic micro-expression (ME) spotting obtains increasing attention. ME spo…
Micro-Expression SpottingTowards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods
Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions that people do not intend to show. Studying MEs is valuable as recognizing them has many important applications, particularly in for…
Micro-Expression Spotting