{"product_id":"computer-vision-eccv-2024-workshops-9783031915802","title":"Computer Vision  ECCV 2024 Workshops","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation.\u003cbr\u003e.- ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessment.\u003cbr\u003e.- 7th abaw competition: Multi-task learning and compound expression recognition.\u003cbr\u003e.- Are Visual-Language Models Effective in Action Recognition? A Comparative Study.\u003cbr\u003e.- Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild.\u003cbr\u003e.- Gr-IoU: Ground-Intersection over Union for Robust Multi-Object Tracking with 3D Geometric Constraints.\u003cbr\u003e.- Single Image 3D Human Pose Estimation Using Sequential Joint Group Generation.\u003cbr\u003e.- MVP: Multimodal Emotion Recognition based on Video and Physiological Signals.\u003cbr\u003e.- Facial Expression-Enhanced TTS: Combining Face Representation and Emotion Intensity for Adaptive Speech.\u003cbr\u003e.- Massively Multi-Person 3D Human Motion Forecasting with Scene Context.\u003cbr\u003e.- TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans.\u003cbr\u003e.- Improving face generation quality and prompt following with synthetic captions.\u003cbr\u003e.- Tracking Virtual Meetings in the Wild: Re-identification in MultiParticipant Virtual Meetings.\u003cbr\u003e.- rPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-Domain Discriminator.\u003cbr\u003e.- MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition.\u003cbr\u003e.- Predicting Emotions in Interpersonal Interaction Videos: I Know What You Feel.\u003cbr\u003e.- Multi-Task Affective Behaviour Analysis based on MT-EmotiNet Models.\u003cbr\u003e.- Smoothing Predictions of Multi-Task EmotiNet Models for Compound Facial Expression Recognition.\u003cbr\u003e.- ABAW7 Challenge: A Facial Affect Recognition Approach based on Transformer Encoder and Multilayer Perceptron.\u003cbr\u003e.- Compound Expression Recognition via Curriculum Learning.\u003cbr\u003e.- Boundary Matching and Refinement Network with Cross-modal Contrastive Learning for Temporal Moment Localization.\u003cbr\u003e.- Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challenge.\u003cbr\u003e.- Introducing Gating and Context into Temporal Action Detection.\u003cbr\u003e.- Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysis.\u003cbr\u003e.- Monitoring Viewer Attention During Online Ads.\u003cbr\u003e.- Affective Behaviour Analysis via Progressive Learning.\u003cbr\u003e.- Are We Friends? End-to-End Prediction of Child Rapport in Guided Play.\u003cbr\u003e.- Affective Behavior Analysis using Task-adaptive and AU-assisted Graph.\u003cbr\u003e.- Ig3D: Integrating 3D Face Representations in Facial Expression Inference.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195478892887,"sku":"9783031915802","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/computer-vision-eccv-2024-workshops-9783031915802","provider":"Book Curl","version":"1.0","type":"link"}