Computer Vision – ACCV 2020

Table of Contents

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   Book Overview
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   Chapter 1 Video-Based Crowd Counting Using a Multi-scale Optical Flow Pyramid Network
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   Chapter 2 RealSmileNet: A Deep End-to-End Network for Spontaneous and Posed Smile Recognition
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   Chapter 3 Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition
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   Chapter 4 Unpaired Multimodal Facial Expression Recognition
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   Chapter 5 Gaussian Vector: An Efficient Solution for Facial Landmark Detection
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   Chapter 6 A Global to Local Double Embedding Method for Multi-person Pose Estimation
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   Chapter 7 Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning
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   Chapter 8 MMD Based Discriminative Learning for Face Forgery Detection
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    Chapter 9 RE-Net: A Relation Embedded Deep Model for AU Occurrence and Intensity Estimation
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    Chapter 10 Learning 3D Face Reconstruction with a Pose Guidance Network
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    Chapter 11 Self-supervised Multi-view Synchronization Learning for 3D Pose Estimation
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    Chapter 12 Faster, Better and More Detailed: 3D Face Reconstruction with Graph Convolutional Networks
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    Chapter 13 Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending
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    Chapter 14 Rotation Axis Focused Attention Network (RAFA-Net) for Estimating Head Pose
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    Chapter 15 Unified Application of Style Transfer for Face Swapping and Reenactment
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    Chapter 16 Multiple Exemplars-Based Hallucination for Face Super-Resolution and Editing
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    Chapter 17 Imbalance Robust Softmax for Deep Embeeding Learning
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    Chapter 18 Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
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    Chapter 19 Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses
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    Chapter 20 3D Human Motion Estimation via Motion Compression and Refinement
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    Chapter 21 Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition
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    Chapter 22 DiscFace: Minimum Discrepancy Learning for Deep Face Recognition
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    Chapter 23 Uncertainty Estimation and Sample Selection for Crowd Counting
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    Chapter 24 Multi-task Learning for Simultaneous Video Generation and Remote Photoplethysmography Estimation
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    Chapter 25 Interpreting Video Features: A Comparison of 3D Convolutional Networks and Convolutional LSTM Networks
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    Chapter 26 Encode the Unseen: Predictive Video Hashing for Scalable Mid-stream Retrieval
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    Chapter 27 Active Learning for Video Description with Cluster-Regularized Ensemble Ranking
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    Chapter 28 Condensed Movies: Story Based Retrieval with Contextual Embeddings
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    Chapter 29 Play Fair: Frame Attributions in Video Models
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    Chapter 30 Transforming Multi-concept Attention into Video Summarization
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    Chapter 31 Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision
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    Chapter 32 TSI: Temporal Scale Invariant Network for Action Proposal Generation
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    Chapter 33 Discovering Multi-label Actor-Action Association in a Weakly Supervised Setting
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    Chapter 34 Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold
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    Chapter 35 Descriptor-Free Multi-view Region Matching for Instance-Wise 3D Reconstruction
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    Chapter 36 Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention
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    Chapter 37 Self-guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
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    Chapter 38 MBNet: A Multi-task Deep Neural Network for Semantic Segmentation and Lumbar Vertebra Inspection on X-Ray Images
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    Chapter 39 Attention-Based Fine-Grained Classification of Bone Marrow Cells
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    Chapter 40 Learning Multi-instance Sub-pixel Point Localization
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    Chapter 41 Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images