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Diverse Image-to-Image Translation via Disentangled Representations
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HiDDeN: Hiding Data With Deep Networks
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Detecting Text in Natural Image with Connectionist Text Proposal Network
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Temporal Convolutional Networks: A Unified Approach to Action Segmentation
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Acquisition of Localization Confidence for Accurate Object Detection
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Graph R-CNN for Scene Graph Generation
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Deep Continuous Fusion for Multi-Sensor 3D Object Detection
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Exploring Visual Relationship for Image Captioning
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Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
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Integral Human Pose Regression
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Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
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Learning to Refine Object Segments
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Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
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Deep Image Retrieval: Learning global representations for image search
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A Diagram Is Worth A Dozen Images
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Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification
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Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
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Attribute2Image: Conditional Image Generation from Visual Attributes
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Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
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Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
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Video Summarization with Long Short-term Memory
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Learning a Predictable and Generative Vector Representation for Objects
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Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
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View Synthesis by Appearance Flow
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SkipNet: Learning Dynamic Routing in Convolutional Networks
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Generating Visual Explanations
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GANimation: Anatomically-aware Facial Animation from a Single Image
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Generative Image Modeling using Style and Structure Adversarial Networks
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Reverse Attention for Salient Object Detection
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CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
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An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
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Data-Driven Sparse Structure Selection for Deep Neural Networks
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Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
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DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks
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Learning Human-Object Interactions by Graph Parsing Neural Networks
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TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
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Objects that Sound
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Human pose estimation via Convolutional Part Heatmap Regression
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ECO: Efficient Convolutional Network for Online Video Understanding
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Modeling Context Between Objects for Referring Expression Understanding
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An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
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DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
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BOP: Benchmark for 6D Object Pose Estimation
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LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
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Photo Aesthetics Ranking Network with Attributes and Content Adaptation
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