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                        Convolutional Auto-encoding of Sentence Topics for
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                        Content and Colour Distillation for Learning Image
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                        Structured3D: A Large Photo-realistic Dataset for
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                        Machine Learning at the Network Edge: A Survey
                    
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                        DROGON: A Causal Reasoning Framework for Future
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                        Extract and Merge: Merging extracted humans from
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                        Curiosity-driven Reinforcement Learning for Diverse
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                        Pseudo-Labeling Curriculum for Unsupervised Domain
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                        Competing Ratio Loss for Discriminative Multi-class
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                        Deep Kinematic Models for Physically Realistic
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                        Sublinear Subwindow Search
                    
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                        Multi-path Learning for Object Pose Estimation Across
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                        Pyramid Real Image Denoising Network
                    
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                        A Unified Point-Based Framework for 3D Segmentation
                    
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                        Moulding Humans: Non-parametric 3D Human Shape
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                        Efficient Machine Learning for Large-Scale Urban
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                        Accelerating CNN Training by Sparsifying Activation
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                        Cascaded Context Pyramid for Full-Resolution 3D
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                        Image Captioning with Unseen Objects
                    
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                        A Survey on Deep Learning of Small Sample in Biomedical
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                        Combining learned skills and reinforcement learning for
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                        New Techniques for Graph Edit Distance Computation
                    
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                        Quality Assessment of In-the-Wild Videos
                    
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                        OCT Fingerprints: Resilience to Presentation Attacks
                    
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                        Scalable Place Recognition Under Appearance Change for
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                        AutoML: A Survey of the State-of-the-Art
                    
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                        DEDUCE: Diverse scEne Detection methods in Unseen
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                        3D Virtual Garment Modeling from RGB Images
                    
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                        Visual Place Recognition for Aerial Robotics: Exploring
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                        GANs N Lungs: improving pneumonia prediction
                    
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                        Few-Shot Meta-Denoising
                    
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                        StructureNet: Hierarchical Graph Networks for 3D Shape
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                        Learning to Adapt Invariance in Memory for Person
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                        Uncertainty Quantification in Deep Learning for Safer
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                        Deep Sensor Fusion for Real-Time Odometry Estimation
                    
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                        Distilling Knowledge From a Deep Pose Regressor Network
                    
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                        Learning Variations in Human Motion via Mix-and-Match
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                        Two-Stream Video Classification with Cross-Modality
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                        Simultaneous Iris and Periocular Region Detection Using
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                        A Framework for Depth Estimation and Relative
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                        Deep Optics for Single-shot High-dynamic-range Imaging
                    
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                        Physical Cue based Depth-Sensing by Color Coding with
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                        Learning Densities in Feature Space for Reliable
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                        AdvGAN++ : Harnessing latent layers for adversary
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                        Falls Prediction Based on Body Keypoints and Seq2Seq
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                        Unsupervised Domain Adaptation via Disentangled
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                        Central Similarity Hashing via Hadamard matrix
                    
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                        Dressing 3D Humans using a Conditional Mesh-VAE-GAN
                    
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                        Improving localization-based approaches for breast
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                        Single-Shot High Dynamic Range Imaging with Spatially
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                        Incremental Learning Techniques for Semantic
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                        Greedy AutoAugment
                    
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                        On the difficulty of learning and predicting the
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                        DIODE: A Dense Indoor and Outdoor DEpth Dataset
                    
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                        Uncertainty Quantification in Computer-Aided Diagnosis:
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                        Robustifying deep networks for image segmentation
                    
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                        Multi-Agent Reinforcement Learning Based Frame Sampling
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                        Deformable Medical Image Registration Using a
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                        Integrating Spatial Configuration into Heatmap
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                        Learning Lightweight Lane Detection CNNs by Self
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                        Real Time Visual Tracking using Spatial-Aware Temporal
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                        Learning the Model Update for Siamese Trackers
                    
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                        L2G Auto-encoder: Understanding Point Clouds by
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                        Adversarial Test on Learnable Image Encryption
                    
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                        Indices Matter: Learning to Index for Deep Image
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                        Self-training with progressive augmentation for
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                        An amplified-target loss approach for photoreceptor
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                        Towards Digital Retina in Smart Cities: A Model
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                        An Elastic Energy Minimization Framework for Mean
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                        Network with Sub-Networks
                    
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                        Video Stitching for Linear Camera Arrays
                    
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                        Expectation-Maximization Attention Networks for
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                        Rapid Light Field Depth Estimation with Semi-Global
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                        Adversarial Camera Alignment Network for Unsupervised
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                        Exact and Fast Inversion of the Approximate Discrete
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                        Effects of Illumination on the Categorization of Shiny
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                        Space-adaptive anisotropic bivariate Laplacian
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                        DAWN: Dual Augmented Memory Network for Unsupervised
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                        A Structural Graph-Based Method for MRI Analysis
                    
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                        Captioning Near-Future Activity Sequences
                    
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                        Neural Architecture based on Fuzzy Perceptual
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                        Online Multi-Object Tracking Framework with the GMPHD
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                        Auto-labelling of Markers in Optical Motion Capture by
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                        Synthetic Image Augmentation for Improved
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                        Attention-guided Low-light Image Enhancement
                    
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                        Entry-Exit event detection and learning
                    
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                        Probabilistic Motion Modeling from Medical Image
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                        Road Context-aware Intrusion Detection System for
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                        Learned Collaborative Stereo Refinement
                    
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                        An Evaluation of Action Recognition Models on
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                        Pothole Detection Based on Disparity Transformation and
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                        ConCORDe-Net: Cell Count Regularized Convolutional
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