Description

Book Synopsis

.- MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation.
.- ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessment.
.- 7th abaw competition: Multi-task learning and compound expression recognition.
.- Are Visual-Language Models Effective in Action Recognition? A Comparative Study.
.- Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild.
.- Gr-IoU: Ground-Intersection over Union for Robust Multi-Object Tracking with 3D Geometric Constraints.
.- Single Image 3D Human Pose Estimation Using Sequential Joint Group Generation.
.- MVP: Multimodal Emotion Recognition based on Video and Physiological Signals.
.- Facial Expression-Enhanced TTS: Combining Face Representation and Emotion Intensity for Adaptive Speech.
.- Massively Multi-Person 3D Human Motion Forecasting with Scene Context.
.- TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans.
.- Improving face generation quality and prompt following with synthetic captions.
.- Tracking Virtual Meetings in the Wild: Re-identification in MultiParticipant Virtual Meetings.
.- rPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-Domain Discriminator.
.- MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition.
.- Predicting Emotions in Interpersonal Interaction Videos: I Know What You Feel.
.- Multi-Task Affective Behaviour Analysis based on MT-EmotiNet Models.
.- Smoothing Predictions of Multi-Task EmotiNet Models for Compound Facial Expression Recognition.
.- ABAW7 Challenge: A Facial Affect Recognition Approach based on Transformer Encoder and Multilayer Perceptron.
.- Compound Expression Recognition via Curriculum Learning.
.- Boundary Matching and Refinement Network with Cross-modal Contrastive Learning for Temporal Moment Localization.
.- Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challenge.
.- Introducing Gating and Context into Temporal Action Detection.
.- Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysis.
.- Monitoring Viewer Attention During Online Ads.
.- Affective Behaviour Analysis via Progressive Learning.
.- Are We Friends? End-to-End Prediction of Child Rapport in Guided Play.
.- Affective Behavior Analysis using Task-adaptive and AU-assisted Graph.
.- Ig3D: Integrating 3D Face Representations in Facial Expression Inference.

Computer Vision ECCV 2024 Workshops

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    A Paperback by Alessio Del Bue

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      View other formats and editions of Computer Vision ECCV 2024 Workshops by Alessio Del Bue

      Publisher: Springer
      Publication Date: 06/06/2025
      ISBN13: 9783031915802, 978-3031915802
      ISBN10:
      Also in:
      Computing Image processing

      Description

      Book Synopsis

      .- MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation.
      .- ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessment.
      .- 7th abaw competition: Multi-task learning and compound expression recognition.
      .- Are Visual-Language Models Effective in Action Recognition? A Comparative Study.
      .- Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild.
      .- Gr-IoU: Ground-Intersection over Union for Robust Multi-Object Tracking with 3D Geometric Constraints.
      .- Single Image 3D Human Pose Estimation Using Sequential Joint Group Generation.
      .- MVP: Multimodal Emotion Recognition based on Video and Physiological Signals.
      .- Facial Expression-Enhanced TTS: Combining Face Representation and Emotion Intensity for Adaptive Speech.
      .- Massively Multi-Person 3D Human Motion Forecasting with Scene Context.
      .- TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans.
      .- Improving face generation quality and prompt following with synthetic captions.
      .- Tracking Virtual Meetings in the Wild: Re-identification in MultiParticipant Virtual Meetings.
      .- rPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-Domain Discriminator.
      .- MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition.
      .- Predicting Emotions in Interpersonal Interaction Videos: I Know What You Feel.
      .- Multi-Task Affective Behaviour Analysis based on MT-EmotiNet Models.
      .- Smoothing Predictions of Multi-Task EmotiNet Models for Compound Facial Expression Recognition.
      .- ABAW7 Challenge: A Facial Affect Recognition Approach based on Transformer Encoder and Multilayer Perceptron.
      .- Compound Expression Recognition via Curriculum Learning.
      .- Boundary Matching and Refinement Network with Cross-modal Contrastive Learning for Temporal Moment Localization.
      .- Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challenge.
      .- Introducing Gating and Context into Temporal Action Detection.
      .- Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysis.
      .- Monitoring Viewer Attention During Online Ads.
      .- Affective Behaviour Analysis via Progressive Learning.
      .- Are We Friends? End-to-End Prediction of Child Rapport in Guided Play.
      .- Affective Behavior Analysis using Task-adaptive and AU-assisted Graph.
      .- Ig3D: Integrating 3D Face Representations in Facial Expression Inference.

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