ICCV 2019 | ICCV 2019 论文接收列表 | ICCV 2019一共接收1077篇 | 共4303篇投稿

版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。

本文链接： https://blog.csdn.net/qq_15698613/article/details/96988897

Github持续更新（8月29日更新200篇）：

（论文下载百度云见文末）

https://github.com/Sophia-11/Awesome-ICCV2019 

• 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

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

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学术会议排名和中国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，他同时还是中国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%

论文接收序号：

24 17 25 30 31 33 37 41 45 49 59 60 69 84 91 93 102 105 110 126 141 153 157 159 171 175 176 178 184 187 213 226 229 238 242 245 247 251 258 281 285 294 302 320 330 350 351 354 356 361 367 375 376 380 382 383 385 397 405 406 407 409 421 426 428 445 446 450 456 464 466 479 490 491 496 502 504 507 508 520 531 539 568 579 582 585 596 609 620 622 630 634 636 668 669 673 678 680 691 701 706 711 715 719 720 722 727 732 733 735 737 742 751 754 756 759 767 768 770 774 778 782 791 797 800 806 809 811 813 818 827 832 836 838 839 845 855 862 868 876 877 879 888 890 892 899 900 902 904 905 909 912 917 920 921 940 943 959 964 965 976 981 989 1001 1005 1006 1011 1017 1020 1023 1031 1032 1039 1040 1042 1045 1046 1057 1062 1067 1077 1083 1092 1093 1096 1097 1098 1104 1105 1111 1112 1113 1119 1135 1139 1142 1148 1160 1163 1165 1166 1168 1174 1180 1182 1197 1200 1205 1206 1211 1215 1223 1233 1245 1249 1252 1272 1277 1285 1288 1291 1323 1330 1334 1335 1342 1343 1356 1370 1378 1381 1384 1390 1394 1395 1403 1404 1406 1411 1412 1417 1422 1426 1428 1434 1439 1442 1452 1455 1457 1463 1477 1479 1485 1488 1501 1517 1527 1535 1538 1542 1550 1551 1552 1562 1565 1570 1574 1581 1583 1585 1586 1590 1592 1596 1597 1616 1621 1624 1630 1638 1639 1642 1643 1647 1648 1650 1652 1656 1657 1667 1672 1675 1681 1693 1700 1705 1706 1714 1743 1746 1768 1772 1773 1774 1779 1785 1788 1805 1811 1819 1820 1823 1826 1827 1829 1844 1850 1854 1855 1859 1860 1861 1863 1865 1866 1870 1874 1879 1881 1882 1911 1917 1919 1924 1926 1933 1942 1943 1959 1960 1963 1967 1970 1971 1972 1982 1983 1984 1990 2005 2010 2012 2017 2024 2029 2032 2037 2040 2043 2055 2065 2070 2077 2097 2101 2115 2126 2127 2132 2134 2140 2148 2149 2155 2157 2160 2163 2169 2177 2179 2205 2206 2209 2214 2223 2230 2235 2240 2245 2246 2247 2248 2259 2266 2267 2272 2275 2277 2282 2284 2286 2288 2289 2290 2291 2303 2304 2312 2322 2323 2336 2337 2338 2339 2344 2353 2355 2359 2385 2390 2391 2392 2397 2402 2406 2413 2419 2420 2421 2436 2437 2441 2448 2450 2454 2458 2470 2473 2478 2481 2490 2495 2498 2501 2511 2517 2521 2525 2531 2545 2547 2548 2551 2553 2555 2556 2557 2561 2563 2564 2571 2578 2580 2595 2601 2603 2607 2608 2609 2610 2613 2615 2619 2622 2633 2634 2637 2638 2642 2660 2661 2679 2683 2684 2690 2717 2725 2732 2739 2740 2768 2790 2792 2795 2796 2798 2799 2814 2820 2830 2833 2836 2838 2840 2842 2850 2855 2857 2862 2865 2872 2886 2899 2908 2912 2919 2927 2928 2939 2944 2957 2958 2962 2963 2964 2968 2979 2980 3001 3016 3034 3035 3036 3051 3058 3059 3060 3068 3072 3080 3095 3102 3104 3107 3110 3114 3116 3120 3123 3127 3128 3133 3136 3137 3139 3140 3141 3145 3151 3154 3164 3166 3172 3180 3185 3193 3197 3198 3203 3215 3220 3222 3233 3239 3242 3243 3246 3260 3272 3273 3280 3281 3286 3290 3293 3300 3315 3321 3326 3327 3339 3345 3346 3352 3359 3361 3372 3375 3378 3379 3380 3382 3391 3394 3398 3402 3403 3410 3419 3430 3435 3436 3438 3439 3443 3458 3462 3463 3464 3468 3476 3489 3492 3494 3496 3502 3505 3508 3510 3514 3518 3521 3523 3540 3544 3547 3548 3552 3554 3555 3556 3559 3571 3572 3589 3592 3593 3596 3609 3611 3618 3620 3622 3627 3632 3636 3638 3646 3652 3655 3658 3662 3665 3667 3670 3674 3676 3682 3693 3695 3700 3717 3718 3723 3729 3734 3735 3739 3740 3743 3749 3750 3758 3761 3762 3767 3768 3772 3786 3787 3788 3795 3807 3808 3813 3818 3821 3824 3832 3834 3838 3857 3860 3867 3869 3879 3882 3897 3919 3921 3923 3926 3932 3933 3937 3941 3942 3949 3964 3971 3987 3988 3992 3998 4006 4007 4009 4019 4021 4022 4024 4032 4033 4034 4042 4047 4057 4067 4075 4079 4085 4088 4090 4092 4093 4094 4097 4102 4105 4112 4113 4118 4121 4122 4124 4125 4130 4144 4151 4154 4159 4162 4164 4167 4168 4171 4176 4192 4194 4199 4211 4212 4217 4237 4245 4246 4248 4249 4253 4267 4275 4285 4289 4293 4305 4309 4311 4330 4341 4342 4343 4346 4365 4366 4367 4370 4374 4406 4410 4414 4428 4430 4434 4446 4449 4453 4481 4485 4500 4506 4509 4526 4530 4533 4534 4541 4549 4560 4562 4563 4576 4585 4599 4600 4602 4614 4618 4634 4647 4649 4660 4666 4672 4690 4697 4701 4702 4712 4721 4737 4757 4765 4766 4768 4785 4787 4794 4798 4811 4825 4835 4846 4848 4851 4856 4861 4865 4870 4874 4881 4890 4901 4903 4910 4925 4928 4943 4946 4971 4996 5005 5008 5011 5016 5018 5023 5029 5051 5052 5053 5062 5073 5088 5099 5103 5105 5112 5114 5116 5127 5128 5129 5131 5135 5136 5148 5158 5161 5162 5164 5171 5172 5174 5180 5183 5184 5195 5196 5201 5215 5223 5235 5264 5269 5274 5280 5290 5292 5296 5301 5302 5314 5321 5323 5338 5344 5348 5370 5378 5384 5393 5412 5413 5417 5423 5437 5444 5454 5455 5457 5465 5519 5532 5540 5548 5576 5582 5594 5601 5626 5649 5651 5657 5662 5672 5683 5684 5696 5698 5700 5704 5705 5725 5728 5742 5752 5797 5801 5810 5819 5823 5827 5844 5845 5853 5863 5869 5880 5892 5903 5925 5927 5935 5948 5950 5952 5957 5961 5968 6009 6021 6026 6034 6035 6036 6072 6083 6105 6132 6174 6175 6178 6191 6204 6209 6215 6221 6232 6250 6258 6267 6284 6287 6289 6294 6296 6302 6328 6329 6352 6367 6372 6379 6385 6398 6400 6403 6404 6405 6410 6414 6423 6428 6430 6433 6467 6471 6480 6483 6496 6506 6512 6519 6521 6529 6532 6534 6554 6563 6568 6578 6579 6597 6602 6608 6622 6625 6640 6668 6691 6696 6700 6740 6744 6752 6780 6783 6829 6886 6887 6929 6944 6968 6978 6981

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

1. Memory-Based Neighbourhood Embedding for Visual Recognition

https://arxiv.org/abs/1908.04992

1. Learning Trajectory Dependencies for Human Motion Prediction

https://arxiv.org/abs/1908.05436

1. Domain Adaptation for Structured Output via Discriminative Patch Representations

https://arxiv.org/abs/1901.05427

1. Deep Non-Rigid Structure from Motion

https://arxiv.org/abs/1908.00052

1. Scalable Place Recognition Under Appearance Change for Autonomous Driving

https://arxiv.org/abs/1908.00178

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

https://arxiv.org/abs/1908.01940

1. Consensus Maximization Tree Search Revisited

https://arxiv.org/abs/1908.02021

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

https://arxiv.org/abs/1811.10144

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

https://arxiv.org/abs/1905.01354

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

https://arxiv.org/abs/1907.13369

1. Expectation-Maximization Attention Networks for Semantic Segmentation

https://arxiv.org/abs/1907.13426

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

https://arxiv.org/abs/1904.01766

1. CARAFE: Content-Aware ReAssembly of FEatures

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

1. Habitat: A Platform for Embodied AI Research

https://arxiv.org/abs/1904.01201

1. Equivariant Multi-View Networks

https://arxiv.org/abs/1904.00993

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

https://arxiv.org/abs/1906.12320

1. Learnable Triangulation of Human Pose

https://arxiv.org/abs/1905.05754

1. Learning Implicit Generative Models by Matching Perceptual Features

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

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

https://arxiv.org/abs/1904.00284

1. SlowFast Networks for Video Recognition

https://arxiv.org/abs/1812.03982

1. Exploring Randomly Wired Neural Networks for Image Recognition

https://arxiv.org/abs/1904.01569

1. Can GCNs Go as Deep as CNNs?

https://arxiv.org/abs/1904.03751

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

https://arxiv.org/abs/1904.11176

1. Meta-Sim Learning to Generate Synthetic Datasets

https://arxiv.org/abs/1904.11621

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

https://arxiv.org/abs/1904.09664

1. Variational Adversarial Active Learning

https://arxiv.org/abs/1904.00370

1. Towards Unconstrained End-to-End Text Spotting

https://arxiv.org/abs/1908.09231

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

https://arxiv.org/abs/1908.09535

1. 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

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

https://arxiv.org/abs/1907.09653

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

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

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

https://arxiv.org/abs/1904.08489

1. nocaps: novel object captioning at scale

https://arxiv.org/abs/1812.08658

1. ThunderNet: Towards Real-time Generic Object Detection

https://arxiv.org/abs/1903.11752

1. Scene GraphPrediction with Limited Labels

https://arxiv.org/abs/1904.11622

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

https://arxiv.org/abs/1906.03173

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

https://arxiv.org/abs/1810.05993

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

https://arxiv.org/abs/1904.08245

1. Efficient Learning on Point Clouds with Basis Point Sets

https://arxiv.org/abs/1908.09186

1. Dynamic Kernel Distillation for Efficient Pose Estimation in Videos

https://arxiv.org/abs/1908.09216

1. Single-Stage Multi-Person Pose Machines

https://arxiv.org/abs/1908.09220

1. Towards Unsupervised Image Captioning with Shared Multimodal Embeddings

https://arxiv.org/abs/1908.09317

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

https://arxiv.org/abs/1908.09327

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

https://arxiv.org/abs/1908.09464

1. Relation Distillation Networks for Video Object Detection

https://arxiv.org/abs/1908.09511

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

https://arxiv.org/abs/1908.09521

1. Embarrassingly Simple Binary Representation Learning

https://arxiv.org/abs/1908.09573

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

https://arxiv.org/abs/1908.00439

1. Learning the Model Update for Siamese Trackers

https://arxiv.org/abs/1908.00855

1. Distilling Knowledge From a Deep Pose Regressor Network

https://arxiv.org/abs/1908.00858

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

https://arxiv.org/abs/1908.01174

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

https://arxiv.org/abs/1908.01323

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

https://arxiv.org/abs/1908.01491

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

https://arxiv.org/abs/1908.01958

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

https://arxiv.org/abs/1908.01977

1. Deep Self-Learning From Noisy Labels

https://arxiv.org/abs/1908.02160

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

https://arxiv.org/abs/1908.02231

1. Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

https://arxiv.org/abs/1908.02441

1. Expert Sample Consensus Applied to Camera Re-Localization

https://arxiv.org/abs/1908.02484

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

https://arxiv.org/abs/1908.02660

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

https://arxiv.org/abs/1908.02809

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

https://arxiv.org/abs/1904.01416

1. 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

1. Orientation-aware Semantic Segmentation on Icosahedron Spheres

https://arxiv.org/abs/1907.12849

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

https://arxiv.org/abs/1907.13268

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

https://arxiv.org/abs/1907.11308

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

https://arxiv.org/abs/1907.11684

1. Goal-Driven Sequential Data Abstraction

https://arxiv.org/abs/1907.12336

1. Recursive Cascaded Networks for Unsupervised Medical Image Registration

https://arxiv.org/abs/1907.12353

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

https://arxiv.org/abs/1907.12428

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

https://arxiv.org/abs/1904.01326

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

https://arxiv.org/abs/1903.10258

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

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

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

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

1. Switchable Whitening for Deep Representation Learning

https://arxiv.org/abs/1904.09739

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

https://arxiv.org/abs/1904.05049

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

https://arxiv.org/abs/1902.06729

1. Task2Vec: Task Embedding for Meta-Learning

https://arxiv.org/abs/1902.03545

1. ACE: Adapting to Changing Environments for Semantic Segmentation

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

1. Few-shot Object Detection via Feature Reweighting

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

1. Disentangling Propagation and Generation for Video Prediction

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

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

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

1. Fashion++: Minimal Edits for Outfit Improvement

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

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

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

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

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

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

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

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

https://arxiv.org/abs/1904.11781

1. Texture Fields: Learning Texture Representations in Function Space

https://arxiv.org/abs/1905.07259

1. AMASS: Archive of Motion Capture as Surface Shapes

https://arxiv.org/abs/1904.03278

1. End-to-end Learning for Graph Decomposition

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

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

https://arxiv.org/abs/1902.11026

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

https://arxiv.org/abs/1905.07482

1. Coherent Semantic Attention for Image Inpainting

https://arxiv.org/abs/1905.12384

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

https://arxiv.org/abs/1907.10719

1. Co-Evolutionary Compression for Unpaired Image Translation

https://arxiv.org/abs/1907.10804

1. Enhancing Adversarial Example Transferability with an Intermediate Level Attack

https://arxiv.org/abs/1907.10823

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

https://arxiv.org/abs/1907.10892

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

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

1. Moment Matching for Multi-Source Domain Adaptation

https://arxiv.org/abs/1812.01754

1. Learning Compositional Representations for Few-Shot Recognition

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

1. Digging Into Self-Supervised Monocular Depth Estimation

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

1. Deep Interpretable Non-Rigid Structure from Motion

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

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

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

1. Lifelong GAN: Continual Learning for Conditional Image Generation

https://arxiv.org/abs/1907.10107

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

https://arxiv.org/abs/1907.10164

1. Towards Adversarially Robust Object Detection

https://arxiv.org/abs/1907.10310

1. 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

https://arxiv.org/abs/1905.10520

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

https://arxiv.org/abs/1907.10178

1. DAFL: Data-Free Learning of Student Networks

https://arxiv.org/abs/1904.01186

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

https://arxiv.org/abs/1907.10343

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

https://arxiv.org/abs/1906.05186

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

https://arxiv.org/abs/1905.12536

1. Embodied Visual Recognition
2. Rethinking ImageNet Pre-training

https://arxiv.org/abs/1811.08883

1. TensorMask: A Foundation for Dense Object Segmentation

https://arxiv.org/abs/1903.12174

1. 3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition

https://arxiv.org/abs/1812.07050

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

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

1. Creativity Inspired Zero-Shot Learning

https://arxiv.org/abs/1904.01109

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

https://arxiv.org/abs/1906.03327

1. Correlation Congruence for Knowledge Distillation

https://arxiv.org/abs/1904.018029

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

https://arxiv.org/abs/1904.03493

1. Episodic Training for Domain Generalization

https://arxiv.org/abs/1902.00113

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

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

1. Semi-supervised Domain Adaptation via Minimax Entropy

https://arxiv.org/abs/1904.06487

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

https://arxiv.org/abs/1907.10045

1. Canonical Surface Mapping via Geometric Cycle Consistency

https://arxiv.org/abs/1907.10043

1. Incremental Class Discovery for Semantic Segmentation with RGBD Sensing

https://arxiv.org/abs/1907.10008

1. U4D: Unsupervised 4D Dynamic Scene Understanding

https://arxiv.org/abs/1907.09905

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

https://arxiv.org/abs/1907.09702

1. SPGNet: Semantic Prediction Guidance for Scene Parsing

https://arxiv.org/abs/1908.09798

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

https://arxiv.org/abs/1811.07456

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

https://arxiv.org/abs/1812.11017

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

https://arxiv.org/abs/1903.09115

1. Learning Combinatorial Embedding Networks for Deep Graph Matching

https://arxiv.org/abs/1904.00597

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

https://arxiv.org/abs/1904.03425

1. 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

1. Symmetry-constrained Rectification Network for Scene Text Recognition

https://arxiv.org/abs/1908.01957

1. STM: SpatioTemporal and Motion Encoding for Action Recognition

https://arxiv.org/abs/1908.02486

1. Explicit Shape Encoding for Real-Time Instance Segmentation

https://arxiv.org/abs/1908.04067

1. Few-Shot Learning with Global Class Representations

https://arxiv.org/abs/1908.05257

1. Symmetric Cross Entropy for Robust Learning with Noisy Labels

https://arxiv.org/abs/1908.06112

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

https://arxiv.org/abs/1908.07172

1. 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

1. Joint Monocular 3D Detection and Tracking

https://arxiv.org/abs/1811.10742

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

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

https://arxiv.org/abs/1906.06059

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

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

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

1. Towards High-Resolution Salient Object Detection

https://arxiv.org/abs/1908.07274

https://github.com/yi94code/HRSOD

1. Confidence Regularized Self-Training

https://arxiv.org/abs/1908.09822

https://github.com/yzou2/CRST

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

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

1. Perspective-Guided Convolution Networks for Crowd Counting

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

1. End-to-End Wireframe Parsing

https://arxiv.org/abs/1905.03246

https://github.com/zhou13/lcnn

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

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

1. 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

1. 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

1. 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

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

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

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

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

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

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

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

https://arxiv.org/abs/1907.10844

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

1. A Closed-form Solution to Universal Style Transfer

https://arxiv.org/abs/1906.00668

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

1. Video Face Clustering with Unknown Number of Clusters

https://github.com/makarandtapaswi/BallClustering_ICCV2019

1. TSM: Temporal Shift Module for Efficient Video Understanding

https://arxiv.org/abs/1811.08383

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

1. 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

1. 3D-RelNet: Joint Object and Relational Network for 3D Prediction

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

https://github.com/nileshkulkarni/relative3d

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

https://arxiv.org/abs/1905.01723

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

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

https://arxiv.org/abs/1908.02735

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

1. Model Vulnerability to Distributional Shifts over Image Transformation Sets

https://arxiv.org/abs/1903.11900

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

1. Language-Conditioned Graph Networks for Relational Reasoning

https://arxiv.org/abs/1905.04405

https://github.com/ronghanghu/lcgn

1. Domain Intersection and Domain Difference

https://github.com/sagiebenaim/DomainIntersectionDifference

1. Probabilistic Face Embeddings

https://arxiv.org/abs/1904.09658

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

1. Counting with Focus for Free

https://arxiv.org/abs/1903.12206

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

1. CCNet: Criss-Cross Attention for Semantic Segmentation

https://arxiv.org/abs/1811.11721

https://github.com/speedinghzl/CCNet

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

https://arxiv.org/abs/1908.01114

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

1. AutoGAN: Neural Architecture Search for Generative Adversarial Networks

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

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

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

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

https://arxiv.org/abs/1904.08645

https://github.com/thmoa/tex2shape

1. FCOS: Fully Convolutional One-Stage Object Detectio

https://arxiv.org/abs/1904.01355

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

百度云链接：链接：https://pan.baidu.com/s/1JnbZFmQwtqk1mQMN-ZpAOw 
提取码：mv56 

如果百度云失效了，去公众号【计算机视觉联盟】后台回复关键词：      ICCV2019

或在本条下方评论，我看到就会回复了