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ICCV2019最新录用情况

本内容现在是ICCV2019,后期会更新为ICCV2021以随时更新

Awesome-ICCV2019 更新所有录用论文（已更新1000余篇ICCV2019论文）

Last updated: 2021/01/25

【计算机视觉联盟】回复【ICCV2019】即可获得百度云所有论文下载链接

Update log

• 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
• 2019/09/12 * - ICCV 1998-2017最佳论文
• 2019/10/26 * - ICCV 所有论文百度云链接更新

Table of Contents

• ICCV简介
• ICCV录用编号
• 起源人工智能研究院28篇
• 旷视11篇
• 2019ICCVOral31篇
• 增加116篇ICCV2019文章
• 增加35篇包含开源代码的ICCV2019
• ICCV1998-2017最佳论文

ICCV 简介

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%。

ICCV主席

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。

召开地点

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%

ICCV2019最新录用论文编号：

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起源人工智能研究院 - Inception Institute of Artificial Intelligence (IIAI) 28篇论文

IIAI主页：www.inceptioniai.org/

1. Unsupervised Video Object Segmentation via Attentive Graph Neural Networks

2. DUAL-GLOWs: Conditional Flow-Based Generative Models for Inter-Modality Transfer in Brain Imaging

3. Unsupervised Graph Association for Person Re-identification

4. Relational Attention Network for Crowd Counting

5. Attentional Neural Fields for Crowd Counting

6. Learning Compositional Neural Information Fusion for Human Parsing

7. RANet: Ranking Attention Network for Fast Video Object Segmentation

8. Learning to Mask Visible Regions for Occluded Pedestrian Detection

9. Boosted Feature Guided Refinement Network for Single-Shot Detection

10. Deep Contextual Attention for Human-Object Interaction Detection

11. Learning the Model Update for Siamese Trackers

12. 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization

13. Learning Rich Features at High-Speed for Single-Shot Object Detection

14. Transductive learning for zero-shot object detection

15. Ground-to-aerial Image Geo-localization with a Hard Exemplar Reweighting Triplet Loss

16. Towards Bridging Semantic Gap to Improve Semantic Segmentation

17. Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks

18. Motion Deblurring via Human-Aware Attention Network

19. Gaussian Affinity for Max-margin Class Imbalanced Learning

20. A Deep Step Pattern Representation for Multimodal Retinal Image Registration

21. SegEQA: Video Segmentation based Visual Attention for Embodied Question Answering

22. Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering

23. Scoot: A Perceptual Metric for Facial Sketches

24. EGNet: Edge Guidance Network for Salient Object Detection

25. PointAE: Point Auto-encoder for 3D Statistical Shape and Texture Modelling

26. Understanding Human Gaze Communication by Spatio-temporal Graph Reasoning

27. Optimizing the F-measure for Threshold-free Salient Object Detection

28. SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion

旷视研究院 11 篇论文入选 ICCV 2019

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

2019 ICCV Oral

https://arxiv.org/abs/1908.00382

1. Interpolated Convolutional Networks for 3D Point Cloud Understanding

https://arxiv.org/abs/1908.04512

2. Memory-Based Neighbourhood Embedding for Visual Recognition

https://arxiv.org/abs/1908.04992

3. Learning Trajectory Dependencies for Human Motion Prediction

https://arxiv.org/abs/1908.05436

4. Domain Adaptation for Structured Output via Discriminative Patch Representations

https://arxiv.org/abs/1901.05427

5. Deep Non-Rigid Structure from Motion

https://arxiv.org/abs/1908.00052

6. Scalable Place Recognition Under Appearance Change for Autonomous Driving

https://arxiv.org/abs/1908.00178

7. Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations

https://arxiv.org/abs/1908.01940

8. Consensus Maximization Tree Search Revisited

https://arxiv.org/abs/1908.02021

9. Weakly Supervised Energy-Based Learning for Action Segmentation
10. Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification

https://arxiv.org/abs/1811.10144

11. Controllable Artistic Text Style Transfer via Shape-Matching GAN

https://arxiv.org/abs/1905.01354

12. Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition

https://arxiv.org/abs/1907.13369

13. Expectation-Maximization Attention Networks for Semantic Segmentation

https://arxiv.org/abs/1907.13426

14. VideoBERT: A Joint Model for Video and Language Representation Learning

https://arxiv.org/abs/1904.01766

15. CARAFE: Content-Aware ReAssembly of FEatures

https://arxiv.org/pdf/1905.02188.pdf

16. Habitat: A Platform for Embodied AI Research

https://arxiv.org/abs/1904.01201

17. Equivariant Multi-View Networks

https://arxiv.org/abs/1904.00993

18. PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

https://arxiv.org/abs/1906.12320

19. Learnable Triangulation of Human Pose

https://arxiv.org/abs/1905.05754

20. Learning Implicit Generative Models by Matching Perceptual Features

https://arxiv.org/abs/1904.02762v1

21. COCO-GAN: Generation by Parts via Conditional Coordinating

https://arxiv.org/abs/1904.00284

22. SlowFast Networks for Video Recognition

https://arxiv.org/abs/1812.03982

23. Exploring Randomly Wired Neural Networks for Image Recognition

https://arxiv.org/abs/1904.01569

24. Can GCNs Go as Deep as CNNs?

https://arxiv.org/abs/1904.03751

25. Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications

https://arxiv.org/abs/1904.11176

26. Meta-Sim Learning to Generate Synthetic Datasets

https://arxiv.org/abs/1904.11621

27. Deep HoughVoting for 3D Object Detection in Point Clouds

https://arxiv.org/abs/1904.09664

28. Variational Adversarial Active Learning

https://arxiv.org/abs/1904.00370

29. Towards Unconstrained End-to-End Text Spotting

https://arxiv.org/abs/1908.09231

30. Non-local Recurrent Neural Memory for Supervised Sequence Modeling

https://arxiv.org/abs/1908.09535

31. Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels

https://arxiv.org/abs/1908.09597

增加116篇ICCV2019文章

1. Similarity-Preserving Knowledge Distillation

https://arxiv.org/abs/1907.09682

2. GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition

https://arxiv.org/abs/1907.09653

3. Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction

https://arxiv.org/pdf/1811.09845.pdf

4. Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers

https://arxiv.org/abs/1904.08489

5. nocaps: novel object captioning at scale

https://arxiv.org/abs/1812.08658

6. ThunderNet: Towards Real-time Generic Object Detection

https://arxiv.org/abs/1903.11752

7. Scene GraphPrediction with Limited Labels

https://arxiv.org/abs/1904.11622

8. Ego-Pose Estimation and Forecasting as Real-Time PD Control

https://arxiv.org/abs/1906.03173

9. The Trajectron: Probabilistic Multi-Agent Trajectory Modeling withDynamic Spatiotemporal Graphs

https://arxiv.org/abs/1810.05993

10. End-to-End Learning of Representations for Asynchronous Event-BasedData

https://arxiv.org/abs/1904.08245

11. Efficient Learning on Point Clouds with Basis Point Sets

https://arxiv.org/abs/1908.09186

12. Dynamic Kernel Distillation for Efficient Pose Estimation in Videos

https://arxiv.org/abs/1908.09216

13. Single-Stage Multi-Person Pose Machines

https://arxiv.org/abs/1908.09220

14. Towards Unsupervised Image Captioning with Shared Multimodal Embeddings

https://arxiv.org/abs/1908.09317

15. advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns

https://arxiv.org/abs/1908.09327

16. Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images

https://arxiv.org/abs/1908.09464

17. Relation Distillation Networks for Video Object Detection

https://arxiv.org/abs/1908.09511

18. Object-Driven Multi-Layer Scene Decomposition From a Single Image

https://arxiv.org/abs/1908.09521

19. Embarrassingly Simple Binary Representation Learning

https://arxiv.org/abs/1908.09573

20. Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images

https://arxiv.org/abs/1908.00439

21. Learning the Model Update for Siamese Trackers

https://arxiv.org/abs/1908.00855

22. Distilling Knowledge From a Deep Pose Regressor Network

https://arxiv.org/abs/1908.00858

23. Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition

https://arxiv.org/abs/1908.01174

24. ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal

https://arxiv.org/abs/1908.01323

25. Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation

https://arxiv.org/abs/1908.01491

26. View N-gram Network for 3D Object Retrieval

https://arxiv.org/abs/1908.01958

27. Semi-supervised Skin Detection by Network with Mutual Guidance

https://arxiv.org/abs/1908.01977

28. Deep Self-Learning From Noisy Labels

https://arxiv.org/abs/1908.02160

29. Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking

https://arxiv.org/abs/1908.02231

30. Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

https://arxiv.org/abs/1908.02441

31. Expert Sample Consensus Applied to Camera Re-Localization

https://arxiv.org/abs/1908.02484

32. SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition

https://arxiv.org/abs/1908.02660

33. GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild

https://arxiv.org/abs/1908.02809

34. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

https://arxiv.org/abs/1904.01416

35. Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction

https://arxiv.org/abs/1907.12704

36. Orientation-aware Semantic Segmentation on Icosahedron Spheres

https://arxiv.org/abs/1907.12849

37. EMPNet: Neural Localisation and Mapping using Embedded Memory Points

https://arxiv.org/abs/1907.13268

38. SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation

https://arxiv.org/abs/1907.11308

39. On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method

https://arxiv.org/abs/1907.11684

40. Goal-Driven Sequential Data Abstraction

https://arxiv.org/abs/1907.12336

41. Recursive Cascaded Networks for Unsupervised Medical Image Registration

https://arxiv.org/abs/1907.12353

42. Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting

https://arxiv.org/abs/1907.12428

43. HoloGAN: Unsupervised learning of 3D representations from natural images

https://arxiv.org/abs/1904.01326

44. MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning

https://arxiv.org/abs/1903.10258

45. FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image

https://arxiv.org/pdf/1903.12305.pdf

46. Face De-occlusion using 3D Morphable Model and Generative Adversarialhttp://image.inha.ac.kr/paper/ICCV2019_Xaiowei.pdf
47. Deep Meta Learning for Real-Time Target-Aware Visual Tracking

https://arxiv.org/pdf/1712.09153.pdf

48. Switchable Whitening for Deep Representation Learning

https://arxiv.org/abs/1904.09739

49. Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

https://arxiv.org/abs/1904.05049

50. Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction

https://arxiv.org/abs/1902.06729

51. Task2Vec: Task Embedding for Meta-Learning

https://arxiv.org/abs/1902.03545

52. ACE: Adapting to Changing Environments for Semantic Segmentation

https://arxiv.org/pdf/1904.06268.pdf

53. Few-shot Object Detection via Feature Reweighting

https://arxiv.org/pdf/1812.01866.pdf

54. Disentangling Propagation and Generation for Video Prediction

https://arxiv.org/pdf/1812.00452.pdf

55. An Empirical Study of Spatial Attention Mechanisms in Deep Networks

https://arxiv.org/pdf/1904.05873.pdf

56. Fashion++: Minimal Edits for Outfit Improvement

https://arxiv.org/pdf/1904.09261.pdf

57. Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment

https://arxiv.org/pdf/1903.11649.pdf

58. Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

https://arxiv.org/pdf/1902.03751.pdf

59. SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation

https://arxiv.org/pdf/1905.07512.pdf

60. EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association

https://arxiv.org/abs/1904.11781

61. Texture Fields: Learning Texture Representations in Function Space

https://arxiv.org/abs/1905.07259

62. AMASS: Archive of Motion Capture as Surface Shapes

https://arxiv.org/abs/1904.03278

63. End-to-end Learning for Graph Decomposition

https://arxiv.org/pdf/1812.09737.pdf

64. Towards Multi-pose Guided Virtual Try-on Network

https://arxiv.org/abs/1902.11026

65. Learning to Reconstruct 3D Manhattan Wireframes from a Single Image

https://arxiv.org/abs/1905.07482

66. Coherent Semantic Attention for Image Inpainting

https://arxiv.org/abs/1905.12384

67. LayoutVAE: Stochastic Scene Layout Generation from a Label Set

https://arxiv.org/abs/1907.10719

68. Co-Evolutionary Compression for Unpaired Image Translation

https://arxiv.org/abs/1907.10804

69. Enhancing Adversarial Example Transferability with an Intermediate Level Attack

https://arxiv.org/abs/1907.10823

70. Simultaneous multi-view instance detection with learned geometric soft-constraints

https://arxiv.org/abs/1907.10892

71. Gated2Depth: Real-time Dense Lidar from Gated Images

https://www.cs.princeton.edu/~fheide/papers/Gated2Depth_preprint.pdf

72. Moment Matching for Multi-Source Domain Adaptation

https://arxiv.org/abs/1812.01754

73. Learning Compositional Representations for Few-Shot Recognition

https://sites.google.com/view/comprepr/home

74. Digging Into Self-Supervised Monocular Depth Estimation

https://arxiv.org/pdf/1806.01260.pdf

75. Deep Interpretable Non-Rigid Structure from Motion

https://arxiv.org/pdf/1902.10840.pdf

76. PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings

https://arxiv.org/pdf/1905.01296.pdf

77. Lifelong GAN: Continual Learning for Conditional Image Generation

https://arxiv.org/abs/1907.10107

78. Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection

https://arxiv.org/abs/1907.10164

79. Towards Adversarially Robust Object Detection

https://arxiv.org/abs/1907.10310

80. 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

https://arxiv.org/abs/1905.10520

81. Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction

https://arxiv.org/abs/1907.10178

82. DAFL: Data-Free Learning of Student Networks

https://arxiv.org/abs/1904.01186

83. Multi-adversarial Faster-RCNN for Unrestricted Object Detection

https://arxiv.org/abs/1907.10343

84. Boosting Few-Shot Visual Learning with Self-Supervision

https://arxiv.org/abs/1906.05186

85. A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers

https://arxiv.org/abs/1905.12536

86. Embodied Visual Recognition
87. Rethinking ImageNet Pre-training

https://arxiv.org/abs/1811.08883

88. TensorMask: A Foundation for Dense Object Segmentation

https://arxiv.org/abs/1903.12174

89. 3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition

https://arxiv.org/abs/1812.07050

90. Selectivity or Invariance: Boundary-aware Salient Object Detection

https://arxiv.org/pdf/1812.10066.pdf

91. Creativity Inspired Zero-Shot Learning

https://arxiv.org/abs/1904.01109

92. HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

https://arxiv.org/abs/1906.03327

93. Correlation Congruence for Knowledge Distillation

https://arxiv.org/abs/1904.018029

94. VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

https://arxiv.org/abs/1904.03493

95. Episodic Training for Domain Generalization

https://arxiv.org/abs/1902.00113

96. GarNet: A Two-stream Network for Fast and Accurate 3D Cloth Draping

https://arxiv.org/abs/1811.10983v2

97. Semi-supervised Domain Adaptation via Minimax Entropy

https://arxiv.org/abs/1904.06487

98. xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera

https://arxiv.org/abs/1907.10045

99. Canonical Surface Mapping via Geometric Cycle Consistency

https://arxiv.org/abs/1907.10043

100. Incremental Class Discovery for Semantic Segmentation with RGBD Sensing

https://arxiv.org/abs/1907.10008

101. U4D: Unsupervised 4D Dynamic Scene Understanding

https://arxiv.org/abs/1907.09905

102. BMN: Boundary-Matching Network for Temporal Action Proposal Generation

https://arxiv.org/abs/1907.09702

103. SPGNet: Semantic Prediction Guidance for Scene Parsing

https://arxiv.org/abs/1908.09798

104. Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

https://arxiv.org/abs/1811.07456

105. DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense

https://arxiv.org/abs/1812.11017

106. Closed-Form Optimal Two-View Triangulation Based on Angular Errors

https://arxiv.org/abs/1903.09115

107. Learning Combinatorial Embedding Networks for Deep Graph Matching

https://arxiv.org/abs/1904.00597

108. A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification

https://arxiv.org/abs/1904.03425

109. Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement

https://arxiv.org/abs/1907.11921

110. Symmetry-constrained Rectification Network for Scene Text Recognition

https://arxiv.org/abs/1908.01957

111. STM: SpatioTemporal and Motion Encoding for Action Recognition

https://arxiv.org/abs/1908.02486

112. Explicit Shape Encoding for Real-Time Instance Segmentation

https://arxiv.org/abs/1908.04067

113. Few-Shot Learning with Global Class Representations

https://arxiv.org/abs/1908.05257

114. Symmetric Cross Entropy for Robust Learning with Noisy Labels

https://arxiv.org/abs/1908.06112

115. Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation

https://arxiv.org/abs/1908.07172

116. DADA: Depth-Aware Domain Adaptation in Semantic Segmentation

https://arxiv.org/abs/1904.01886

增加35篇包含开源代码的ICCV2019

1. Bidirectional One-Shot Unsupervised Domain Mapping

https://github.com/tomercohen11/BiOST

2. Joint Monocular 3D Detection and Tracking

https://arxiv.org/abs/1811.10742

https://github.com/ucbdrive/3d-vehicle-tracking

3. MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation

https://arxiv.org/abs/1906.06059

https://github.com/vita-epfl/monoloco

4. Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data

https://github.com/xw-hu/Mask-ShadowGAN

5. Towards High-Resolution Salient Object Detection

https://arxiv.org/abs/1908.07274

https://github.com/yi94code/HRSOD

6. Confidence Regularized Self-Training

https://arxiv.org/abs/1908.09822

https://github.com/yzou2/CRST

7. Optimizing the F-measure for Threshold-free Salient Object Detectionhttp://data.kaizhao.net/publications/iccv2019fmeasure.pdf

https://github.com/zeakey/iccv2019-fmeasure

8. Perspective-Guided Convolution Networks for Crowd Counting

https://github.com/Zhaoyi-Yan/PGCNet

9. End-to-End Wireframe Parsing

https://arxiv.org/abs/1905.03246

https://github.com/zhou13/lcnn

10. Temporal Attentive Alignment for Large-Scale Video Domain Adaptation

https://arxiv.org/abs/1907.12743http://github.com/cmhungsteve/TA3N

11. From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer

https://arxiv.org/abs/1908.06473

https://github. com/xhp-hust-2018-2011/S-DCNet

12. Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN

https://arxiv.org/abs/1904.10247

https://github.com/amjltc295/Free-Form-Video-Inpainting

13. What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention

https://arxiv.org/pdf/1905.09035.pdf

https://github.com/antoninofurnari/rulstm

14. CompenNet++: End-to-end Full Projector Compensation

https://github.com/BingyaoHuang/CompenNet-plusplus

15. Pose-aware Dynamic Attention for Human Object Interaction Detection

https://github.com/bobwan1995/Pose-aware-Dynamic-Attention-for-Human-Object-Interaction-Detection

16. Temporally-Aggregating Spatial Encoder-Decoder for Video Saliency Detection

https://github.com/kylemin/TASED-Net

17. PU-GAN: a Point Cloud Upsampling Adversarial Network

https://arxiv.org/abs/1907.10844

https://github.com/liruihui/PU-GAN

18. A Closed-form Solution to Universal Style Transfer

https://arxiv.org/abs/1906.00668

https://github.com/lu-m13/OptimalStyleTransfer

19. Video Face Clustering with Unknown Number of Clusters

https://github.com/makarandtapaswi/BallClustering_ICCV2019

20. TSM: Temporal Shift Module for Efficient Video Understanding

https://arxiv.org/abs/1811.08383

https://github.com/mit-han-lab/temporal-shift-module

21. Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image

https://arxiv.org/abs/1907.11346

https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE

22. 3D-RelNet: Joint Object and Relational Network for 3D Prediction

https://arxiv.org/pdf/1906.02729.pdf

https://github.com/nileshkulkarni/relative3d

23. Few-shot Unsupervised Image-to-Image Translation

https://arxiv.org/abs/1905.01723

https://github.com/nvlabs/FUNIT/

24. Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings

https://arxiv.org/abs/1908.02735

https://github.com/pierre-jacob/ICCV2019-Horde

25. Model Vulnerability to Distributional Shifts over Image Transformation Sets

https://arxiv.org/abs/1903.11900

https://github.com/ricvolpi/domain-shift-robustness

26. Language-Conditioned Graph Networks for Relational Reasoning

https://arxiv.org/abs/1905.04405

https://github.com/ronghanghu/lcgn

27. Domain Intersection and Domain Difference

https://github.com/sagiebenaim/DomainIntersectionDifference

28. Probabilistic Face Embeddings

https://arxiv.org/abs/1904.09658

https://github.com/seasonSH/Probabilistic-Face-Embeddings

29. Counting with Focus for Free

https://arxiv.org/abs/1903.12206

https://github.com/shizenglin/Counting-with-Focus-for-Free

30. CCNet: Criss-Cross Attention for Semantic Segmentation

https://arxiv.org/abs/1811.11721

https://github.com/speedinghzl/CCNet

31. ABD-Net: Attentive but Diverse Person Re-Identification

https://arxiv.org/abs/1908.01114

https://github.com/TAMU-VITA/ABD-Net

32. AutoGAN: Neural Architecture Search for Generative Adversarial Networks

https://github.com/TAMU-VITA/AutoGAN

33. SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation with Semi-supervised Learning

https://github.com/TerenceCYJ/SO-HandNet

34. Tex2Shape: Detailed Full Human Body Geometry from a Single Image

https://arxiv.org/abs/1904.08645

https://github.com/thmoa/tex2shape

35. FCOS: Fully Convolutional One-Stage Object Detectio

https://arxiv.org/abs/1904.01355

https://github.com/tianzhi0549/FCOS/

ICCV 1998-2017最佳论文

2017Mask R-CNNKaiming He, Facebook AI Research; et al.

Georgia Gkioxari, Facebook AI Research
Piotr Dollar, Facebook AI Research
Ross Girshick, Facebook AI Research

2015Deep Neural Decision ForestsPeter Kontschieder, Microsoft Research; et al.

Madalina Fiterau, Carnegie Mellon University
Antonio Criminisi, Microsoft Research
Samuel Rota Bulò, Microsoft Research

2013From Large Scale Image Categorization to Entry-Level CategoriesVicente Ordonez, University of North Carolina at Chapel Hill; et al.

Jia Deng, Stanford University
Yejin Choi, Stony Brook University
Alexander Berg, University of North Carolina at Chapel Hill
Tamara Berg, University of North Carolina at Chapel Hill

2011Relative AttributesDevi Parikh, Toyota Technological Institute at Chicago
Kristen Grauman, University of Texas at Austin2009Discriminative models for multi-class object layoutChaitanya Desai, University of California Irvine; et al.

Deva Ramanan, University of California Irvine
Charless Fowlkes, University of California Irvine

2007Population Shape Regression From Random Design DataBradley Davis, University of North Carolina at Chapel Hill; et al.

P. Thomas Fletcher, University of Utah
Elizabeth Bullitt, University of North Carolina at Chapel Hill
Sarang Joshi, University of Utah

2005Globally Optimal Estimates for Geometric Reconstruction ProblemsFredrik Kahl, Lund University
Didier Henrion, LAAS-CNRS2003Detecting Pedestrians using Patterns of Motion and AppearancePaul Viola, Microsoft Research; et al.

Michael J. Jones, Mitsubishi Electric Research Laboratories
Daniel Snow, Mitsubishi Electric Research Laboratories

Image Parsing: Unifying Segmentation, Detection and RecognitionZhuowen Tu, University of California Los Angeles; et al.

Xiangrong Chen, University of California Los Angeles
Alan L. Yuille, University of California Los Angeles
Song-Chun Zhu, University of California Los Angeles

Image-based Rendering using Image-based PriorsAndrew Fitzgibbon, University of Oxford; et al.

Yonatan Wexler, Weizmann Institute of Science
Andrew Zisserman, University of Oxford

2001Probabilistic Tracking with Exemplars in a Metric SpaceKentaro Toyama & Andrew Blake, Microsoft ResearchThe Space of All Stereo ImagesSteven Seitz, University of Washington1999Euclidean Reconstruction and Reprojection up to SubgroupsYi Ma, University of California Berkeley; et al.

Stefano Soatto, Washington University in St. Louis
Jana Kosecka, University of California Berkeley
Shankar Sastry, University of California Berkeley

A Theory of Shape by Space CarvingKiriakos Kutulakos, University of Rochester
Steven Seitz, Carnegie Mellon University1998Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Paramet...Marc Pollefeys, Katholieke Universiteit Leuven; et al.

Reinhard Koch, Katholieke Universiteit Leuven
Luc Van Gool, Katholieke Universiteit Leuven

The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image SequencesPhil Torr, Microsoft Research; et al.

Andrew Fitzgibbon, University of Oxford
Andrew Zisserman, University of Oxford

对应表格版

2017	Mask R-CNN	Kaiming He, Facebook AI Research; et al.
2015	Deep Neural Decision Forests	Peter Kontschieder, Microsoft Research; et al.
2013	From Large Scale Image Categorization to Entry-Level Categories	Vicente Ordonez, University of North Carolina at Chapel Hill; et al.
2011	Relative Attributes	Devi Parikh, Toyota Technological Institute at Chicago
Kristen Grauman, University of Texas at Austin
2009	Discriminative models for multi-class object layout	Chaitanya Desai, University of California Irvine; et al.
2007	Population Shape Regression From Random Design Data	Bradley Davis, University of North Carolina at Chapel Hill; et al.
2005	Globally Optimal Estimates for Geometric Reconstruction Problems	Fredrik Kahl, Lund University
2003	Detecting Pedestrians using Patterns of Motion and Appearance	Paul Viola, Microsoft Research; et al.
Image Parsing: Unifying Segmentation, Detection and Recognition	Zhuowen Tu, University of California Los Angeles; et al.
Image-based Rendering using Image-based Priors	Andrew Fitzgibbon, University of Oxford; et al.
2001	Probabilistic Tracking with Exemplars in a Metric Space	Kentaro Toyama & Andrew Blake, Microsoft Research
The Space of All Stereo Images	Steven Seitz, University of Washington
1999	Euclidean Reconstruction and Reprojection up to Subgroups	Yi Ma, University of California Berkeley; et al.
A Theory of Shape by Space Carving	Kiriakos Kutulakos, University of Rochester
Steven Seitz, Carnegie Mellon University
1998	Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Paramet...	Marc Pollefeys, Katholieke Universiteit Leuven; et al.
The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences	Phil Torr, Microsoft Research; et al.