Last updated: 2019/09/06
- 2019/07/26 * - 更新28篇IIAI录用论文
- 2019/07/28 * - 更新11篇旷视ICCV2019
- 2019/08/28 * - 更新31篇Oral
- 2019/08/29 * - 增加116篇ICCV2019文章
- 2019/08/29 * - 增加35篇包含开源代码的ICCV2019
- 2019/09/06 * - 更新連結
ICCV 的全称是 IEEE International Conference on Computer Vision，即国际计算机视觉大会，由IEEE主办，与计算机视觉模式识别会议（CVPR）和欧洲计算机视觉会议（ECCV）并称计算机视觉方向的三大顶级会议，被澳大利亚ICT学术会议排名和**计算机学会等机构评为最高级别学术会议，在业内具有极高的评价。 不同于在美国每年召开一次的CVPR和只在欧洲召开的ECCV，ICCV在世界范围内每两年召开一次。ICCV论文录用率非常低，是三大会议中公认级别最高的 。上一届提交的论文中，其中621篇被接收，录用比例达 28.9%；其中 poster、spotlight、oral 的比例分别为 24.61%、2.61% 以及 2.09%。
今年有一名大会主席是来自香港中文大学的信息工程系系主任汤晓鸥，他同时还是**科学院深圳先进技术研究院的副院长兼商汤科技创始人。其他三名大会主席则分别是首尔大学的 Kyoung Mu Lee 教授、伊利诺伊大学厄巴纳-香槟分校的 David Forsyth 教授以及苏黎世联邦理工学院的 Marc Pollefeys 教授。
本届大会最终的递交补充材料的截止日期为 3 月 29 日。大会召开时间为2019年10月27日至11月2日，举行地点是韩国首尔的 COEX 会议中心。
刚刚，计算机视觉三大顶会之一ICCV2019终于公布了它的最终论文接收结果，一共有1077篇论文被接收，接收率为25.02%
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IIAI主页：www.inceptioniai.org/
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Unsupervised Video Object Segmentation via Attentive Graph Neural Networks
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DUAL-GLOWs: Conditional Flow-Based Generative Models for Inter-Modality Transfer in Brain Imaging
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Unsupervised Graph Association for Person Re-identification
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Relational Attention Network for Crowd Counting
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Attentional Neural Fields for Crowd Counting
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Learning Compositional Neural Information Fusion for Human Parsing
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RANet: Ranking Attention Network for Fast Video Object Segmentation
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Learning to Mask Visible Regions for Occluded Pedestrian Detection
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Boosted Feature Guided Refinement Network for Single-Shot Detection
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Deep Contextual Attention for Human-Object Interaction Detection
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Learning the Model Update for Siamese Trackers
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3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
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Learning Rich Features at High-Speed for Single-Shot Object Detection
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Transductive learning for zero-shot object detection
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Ground-to-aerial Image Geo-localization with a Hard Exemplar Reweighting Triplet Loss
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Towards Bridging Semantic Gap to Improve Semantic Segmentation
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Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
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Motion Deblurring via Human-Aware Attention Network
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Gaussian Affinity for Max-margin Class Imbalanced Learning
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A Deep Step Pattern Representation for Multimodal Retinal Image Registration
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SegEQA: Video Segmentation based Visual Attention for Embodied Question Answering
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Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering
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Scoot: A Perceptual Metric for Facial Sketches
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EGNet: Edge Guidance Network for Salient Object Detection
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PointAE: Point Auto-encoder for 3D Statistical Shape and Texture Modelling
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Understanding Human Gaze Communication by Spatio-temporal Graph Reasoning
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Optimizing the F-measure for Threshold-free Salient Object Detection
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SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion
1、Objects365: A Large-scale, High-quality Dataset for Object Detection
2、ThunderNet: Towards Real-time Generic Object Detection
3、Efficient and Accurate Arbitrary-Shaped Text Detection with PixelAggregation Network
4、Semi-supervised Skin Detection by Network with Mutual Guidance
5、Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
6、Disentangled Image Matting
7、Re-ID Driven Localization Refinement for Person Search
8、Vehicle Re-identification with Viewpoint-aware Metric Learning
9、MetaPruning: Meta Learning for Automatic Neural Network ChannelPruning
10、Symmetry-constrained Rectification Network for Scene Text Recognition
11、Learning to Paint with Model-based Deep Reinforcement Learning
- Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion
- Interpolated Convolutional Networks for 3D Point Cloud Understanding
- Memory-Based Neighbourhood Embedding for Visual Recognition
- Learning Trajectory Dependencies for Human Motion Prediction
- Domain Adaptation for Structured Output via Discriminative Patch Representations
- Deep Non-Rigid Structure from Motion
- Scalable Place Recognition Under Appearance Change for Autonomous Driving
- Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations
- Consensus Maximization Tree Search Revisited
- Weakly Supervised Energy-Based Learning for Action Segmentation
- Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
- Controllable Artistic Text Style Transfer via Shape-Matching GAN
- Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
- Expectation-Maximization Attention Networks for Semantic Segmentation
- VideoBERT: A Joint Model for Video and Language Representation Learning
- CARAFE: Content-Aware ReAssembly of FEatures
- Habitat: A Platform for Embodied AI Research
- Equivariant Multi-View Networks
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
- Learnable Triangulation of Human Pose
- Learning Implicit Generative Models by Matching Perceptual Features
- COCO-GAN: Generation by Parts via Conditional Coordinating
- SlowFast Networks for Video Recognition
- Exploring Randomly Wired Neural Networks for Image Recognition
- Can GCNs Go as Deep as CNNs?
- Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
- Meta-Sim Learning to Generate Synthetic Datasets
- Deep HoughVoting for 3D Object Detection in Point Clouds
- Variational Adversarial Active Learning
- Towards Unconstrained End-to-End Text Spotting
- Non-local Recurrent Neural Memory for Supervised Sequence Modeling
- Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
- Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
- Similarity-Preserving Knowledge Distillation
- GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
- Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction
- Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
- nocaps: novel object captioning at scale
- ThunderNet: Towards Real-time Generic Object Detection
- Scene GraphPrediction with Limited Labels
- Ego-Pose Estimation and Forecasting as Real-Time PD Control
- The Trajectron: Probabilistic Multi-Agent Trajectory Modeling withDynamic Spatiotemporal Graphs
- End-to-End Learning of Representations for Asynchronous Event-BasedData
- Efficient Learning on Point Clouds with Basis Point Sets
- Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
- Single-Stage Multi-Person Pose Machines
- Towards Unsupervised Image Captioning with Shared Multimodal Embeddings
- advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
- Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images
- Relation Distillation Networks for Video Object Detection
- Object-Driven Multi-Layer Scene Decomposition From a Single Image
- Embarrassingly Simple Binary Representation Learning
- Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images
- Learning the Model Update for Siamese Trackers
- Distilling Knowledge From a Deep Pose Regressor Network
- Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition
- ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
- Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
- View N-gram Network for 3D Object Retrieval
- Semi-supervised Skin Detection by Network with Mutual Guidance
- Deep Self-Learning From Noisy Labels
- Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking
- Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
- Expert Sample Consensus Applied to Camera Re-Localization
- SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
- GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild
- SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
- Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
- Orientation-aware Semantic Segmentation on Icosahedron Spheres
- EMPNet: Neural Localisation and Mapping using Embedded Memory Points
- SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
- On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
- Goal-Driven Sequential Data Abstraction
- Recursive Cascaded Networks for Unsupervised Medical Image Registration
- Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting
- HoloGAN: Unsupervised learning of 3D representations from natural images
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
- FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image
- Face De-occlusion using 3D Morphable Model and Generative Adversarial Network
- Deep Meta Learning for Real-Time Target-Aware Visual Tracking
- Switchable Whitening for Deep Representation Learning
- Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
- Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction
- Task2Vec: Task Embedding for Meta-Learning
- ACE: Adapting to Changing Environments for Semantic Segmentation
- Few-shot Object Detection via Feature Reweighting
- Disentangling Propagation and Generation for Video Prediction
- An Empirical Study of Spatial Attention Mechanisms in Deep Networks
- Fashion++: Minimal Edits for Outfit Improvement
- Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
- Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
- SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
- EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association
- Texture Fields: Learning Texture Representations in Function Space
- AMASS: Archive of Motion Capture as Surface Shapes
- End-to-end Learning for Graph Decomposition
- Towards Multi-pose Guided Virtual Try-on Network
- Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
- Coherent Semantic Attention for Image Inpainting
- LayoutVAE: Stochastic Scene Layout Generation from a Label Set
- Co-Evolutionary Compression for Unpaired Image Translation
- Enhancing Adversarial Example Transferability with an Intermediate Level Attack
- Simultaneous multi-view instance detection with learned geometric soft-constraints
- Gated2Depth: Real-time Dense Lidar from Gated Images
- Moment Matching for Multi-Source Domain Adaptation
- Learning Compositional Representations for Few-Shot Recognition
- Digging Into Self-Supervised Monocular Depth Estimation
- Deep Interpretable Non-Rigid Structure from Motion
- PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
- Lifelong GAN: Continual Learning for Conditional Image Generation
- Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection
- Towards Adversarially Robust Object Detection
- 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
- Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction
- DAFL: Data-Free Learning of Student Networks
- Multi-adversarial Faster-RCNN for Unrestricted Object Detection
- Boosting Few-Shot Visual Learning with Self-Supervision
- A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers
- Embodied Visual Recognition
- Rethinking ImageNet Pre-training
- TensorMask: A Foundation for Dense Object Segmentation
- 3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition
- Selectivity or Invariance: Boundary-aware Salient Object Detection
- Creativity Inspired Zero-Shot Learning
- HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
- Correlation Congruence for Knowledge Distillation
- VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
- Episodic Training for Domain Generalization
- GarNet: A Two-stream Network for Fast and Accurate 3D Cloth Draping
- Semi-supervised Domain Adaptation via Minimax Entropy
- xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera
- Canonical Surface Mapping via Geometric Cycle Consistency
- Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
- U4D: Unsupervised 4D Dynamic Scene Understanding
- BMN: Boundary-Matching Network for Temporal Action Proposal Generation
- SPGNet: Semantic Prediction Guidance for Scene Parsing
- Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
- DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense
- Closed-Form Optimal Two-View Triangulation Based on Angular Errors
- Learning Combinatorial Embedding Networks for Deep Graph Matching
- A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
- Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
- Symmetry-constrained Rectification Network for Scene Text Recognition
- STM: SpatioTemporal and Motion Encoding for Action Recognition
- Explicit Shape Encoding for Real-Time Instance Segmentation
- Few-Shot Learning with Global Class Representations
- Symmetric Cross Entropy for Robust Learning with Noisy Labels
- Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
- DADA: Depth-Aware Domain Adaptation in Semantic Segmentation
- Bidirectional One-Shot Unsupervised Domain Mapping
- Joint Monocular 3D Detection and Tracking
- MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
- Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
- Towards High-Resolution Salient Object Detection
- Confidence Regularized Self-Training
- Optimizing the F-measure for Threshold-free Salient Object Detection
- Perspective-Guided Convolution Networks for Crowd Counting
- End-to-End Wireframe Parsing
- Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
- From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
- Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
- What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention
- CompenNet++: End-to-end Full Projector Compensation
- Pose-aware Dynamic Attention for Human Object Interaction Detection
- TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
- PU-GAN: a Point Cloud Upsampling Adversarial Network
- A Closed-form Solution to Universal Style Transfer
- Video Face Clustering with Unknown Number of Clusters
- TSM: Temporal Shift Module for Efficient Video Understanding
- Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
- 3D-RelNet: Joint Object and Relational Network for 3D Prediction
- Few-shot Unsupervised Image-to-Image Translation
- Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings
- Model Vulnerability to Distributional Shifts over Image Transformation Sets
- Language-Conditioned Graph Networks for Relational Reasoning
- Domain Intersection and Domain Difference
- Probabilistic Face Embeddings
- Counting with Focus for Free
- CCNet: Criss-Cross Attention for Semantic Segmentation
- ABD-Net: Attentive but Diverse Person Re-Identification
- AutoGAN: Neural Architecture Search for Generative Adversarial Networks
- SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation with Semi-supervised Learning
- Tex2Shape: Detailed Full Human Body Geometry from a Single Image
- FCOS: Fully Convolutional One-Stage Object Detection
- Weakly Supervised Energy-Based Learning for Action Segmentation