计算机视觉/图像处理每日论文速递[11.27]

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[检测分类相关]:
【1】 Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting
在人群计数中使用深度进行像素明智的对抗性攻击检测
作者: Weizhe Liu, Pascal Fua
链接:arxiv.org/abs/1911.1148

【2】 G-TAD: Sub-Graph Localization for Temporal Action Detection
G-TAD:用于时间动作检测的子图定位
作者: Mengmeng Xu, Bernard Ghanem
链接:arxiv.org/abs/1911.1146

【3】 Occluded Pedestrian Detection with Visible IoU and Box Sign Predictor
基于可见光IOU和Box标志预测器的闭塞行人检测
作者: Ruiqi Lu, Huimin Ma
链接:arxiv.org/abs/1911.1144

【4】 F3Net: Fusion, Feedback and Focus for Salient Object Detection
F3Net:用于凸起目标检测的融合、反馈和聚焦
作者: Jun Wei, Qingming Huang
备注:Accepted by AAAI2020, this https URL
链接:arxiv.org/abs/1911.1144

【5】 A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks
基于层叠混合卷积神经网络的半导体制造可视化故障检测与分类系统
作者: Tobias Schlosser, Danny Kowerko
备注:Accepted for: 2019 IEEE 24rd International Conference on Emerging Technologies and Factory Automation (ETFA)
链接:arxiv.org/abs/1911.1125

[分割/语义相关]:
【1】 On Symbiosis of Attribute Prediction and Semantic Segmentation
论属性预测与语义分割的共生
作者: Mahdi M. Kalayeh, Mubarak Shah
链接:arxiv.org/abs/1911.1161

【2】 Skeleton based Zero Shot Action Recognition in Joint Pose-Language Semantic Space
关节姿态语言语义空间中基于骨架的零拍动作识别
作者: Bhavan Jasani, Afshaan Mazagonwalla
链接:arxiv.org/abs/1911.1134

【3】 Shape-aware Feature Extraction for Instance Segmentation
用于实例分割的形状感知特征提取
作者: Hao Ding, Alan Yuille
备注:Submitted to CVPR 2020
链接:arxiv.org/abs/1911.1126

【4】 RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
RandLA-net:大规模点云的高效语义分割
作者: Qingyong Hu, Andrew Markham
链接:arxiv.org/abs/1911.1123

【5】 Semantic Bottleneck Scene Generation
语义瓶颈场景生成
作者: Samaneh Azadi, Mario Lucic
链接:arxiv.org/abs/1911.1135

【6】 Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network
基于三维残差卷积神经网络的卒中后病变自动分割
作者: Naofumi Tomita, Saeed Hassanpour
链接:arxiv.org/abs/1911.1120

[人脸相关]:
【1】 Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
脸部身份转换器的口令条件匿名化和去匿名化
作者: Xiuye Gu, Yong Jae Lee
链接:arxiv.org/abs/1911.1175

【2】 FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
FAN:用于人脸识别和归一化的特征自适应网络
作者: Xi Yin, Xiaoming Liu
链接:arxiv.org/abs/1911.1168

【3】 LaFIn: Generative Landmark Guided Face Inpainting
LaFIn:生成地标引导的面部修复
作者: Yang Yang, Haibin Ling
链接:arxiv.org/abs/1911.1139

【4】 Shape Reconstruction by Learning Differentiable Surface Representations
学习可微曲面表示的形状重构
作者: Jan Bednarik, Pascal Fua
链接:arxiv.org/abs/1911.1122

【5】 Self-Enhanced Convolutional Network for Facial Video Hallucination
用于面部视频幻觉的自增强卷积网络
作者: Chaowei Fang, Yizhou Yu
链接:arxiv.org/abs/1911.1113

【6】 Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
Text2FaceGAN:基于细粒度文本描述的人脸生成
作者: Osaid Rehman Nasir, Rajiv Ratn Shah
链接:arxiv.org/abs/1911.1137

[GAN/对抗式/生成式相关]:
【1】 Image2StyleGAN++: How to Edit the Embedded Images?
Image2StyleGAN+:如何编辑嵌入图像?
作者: Rameen Abdal, Peter Wonka
链接:arxiv.org/abs/1911.1154

【2】 Spatial-Aware GAN for Unsupervised Person Re-identification
用于无监督人员重新识别的空间感知的GaN
作者: Fangneng Zhan, Aoran Xiao
链接:arxiv.org/abs/1911.1131

【3】 Identifying Model Weakness with Adversarial Examiner
用对抗性考官识别模型弱点
作者: Michelle Shu, Alan Yuille
备注:To appear in AAAI-20
链接:arxiv.org/abs/1911.1123

【4】 Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
利用离散减少提高对抗性实例的跨任务黑盒可转移性
作者: Yantao Lu, Senem Velipasalar
备注:arXiv admin note: substantial text overlap with arXiv:1905.03333
链接:arxiv.org/abs/1911.1161

【5】 One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples
一个人的垃圾是另一个人的财富-用对抗性的例子抵制对抗性的例子
作者: Chang Xiao, Changxi Zheng
链接:arxiv.org/abs/1911.1121

[图像/视频检索]:
【1】 Content-based image retrieval speedup
基于内容的图像检索加速
作者: Sadegh Fadaei, Elyas Rashno
链接:arxiv.org/abs/1911.1137

[行为/时空/光流/姿态/运动]:
【1】 Revisiting Deep Architectures for Head Motion Prediction in 360° Videos
重新审视360°视频中头部运动预测的深层结构
作者: Miguel Fabian Romero Rondon, Frederic Precioso
链接:arxiv.org/abs/1911.1170

【2】 Multi-Level Network for High-Speed Multi-Person Pose Estimation
用于高速多人姿态估计的多级网络
作者: Ying Huang, Zengchang Qin
备注:5 pages, published at ICIP 2019
链接:arxiv.org/abs/1911.1168

【3】 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
基于运动的生成器模型:动态模式中外观、可跟踪和不可跟踪运动的无监督解缠
作者: Jianwen Xie, Ying Nian Wu
链接:arxiv.org/abs/1911.1129

[半/弱/无监督相关]:
【1】 Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation
边缘引导的遮挡衰落抑制方法在轻量级自监督单目深度估计中的应用
作者: Kuo-Shiuan Peng, Jerzy Rozenblit
链接:arxiv.org/abs/1911.1170

【2】 Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
基于自监督特征学习的图像美学评价再探
作者: Kekai Sheng, Chongyang Ma
备注:AAAI Conference on Artificial Intelligence, 2020, accepted
链接:arxiv.org/abs/1911.1141

【3】 Unsupervised Attention Mechanism across Neural Network Layers
跨神经网络层的无监督注意机制
作者: Baihan Lin
链接:arxiv.org/abs/1902.1065

[跟踪相关]:
【1】 Multi-Task Driven Feature Models for Thermal Infrared Tracking
热红外跟踪的多任务驱动特征模型
作者: Qiao Liu, Yonsheng Liang
链接:arxiv.org/abs/1911.1138

【2】 Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
基于元学习的实时目标跟踪:有效的模型自适应和单次通道剪枝
作者: Ilchae Jung, Bohyung Han
备注:9 pages, 5 figures, AAAI 2020 accepted
链接:arxiv.org/abs/1911.1117

[迁移学习/domain/主动学习/自适应]:
【1】 Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
用于高度泛化的大规模重新识别的校准域-不变学习
作者: Ye Yuan, Gang Hua
备注:WACV 2020 accepted
链接:arxiv.org/abs/1911.1131

【2】 Multi-source Distilling Domain Adaptation
多源提取域自适应
作者: Sicheng Zhao, Kurt Keutzer
备注:Accepted by AAAI 2020
链接:arxiv.org/abs/1911.1155

[裁剪/量化/加速相关]:
【1】 GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
GBCNS:用于增强1位DCNN性能的遗传二进制卷积网络
作者: Chunlei Liu, Guodong Guo
备注:Accepted by AAAI2020. arXiv admin note: substantial text overlap with arXiv:1908.07748
链接:arxiv.org/abs/1911.1163

【2】 Structured Multi-Hashing for Model Compression
用于模型压缩的结构化多散列
作者: Elad Eban, Miguel A. Carreira-Perpinan
链接:arxiv.org/abs/1911.1117

[数据集dataset]:
【1】 "You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets
“您可能也喜欢此模型”:数据驱动方法,推荐用于未知图像数据集的深度学习模型
作者: Ameya Prabhu, Senthil Mani
备注:NeurIPS 2019, New in ML Group
链接:arxiv.org/abs/1911.1143

[超分辨率]:
【1】 Joint Spatial and Angular Super-Resolution from a Single Image
基于单个图像的联合空间和角度超分辨率
作者: Andre Ivan, InKyu Park
备注:arXiv admin note: substantial text overlap with arXiv:1903.12364
链接:arxiv.org/abs/1911.1161

【2】 Super-Resolution for Practical Automated Plant Disease Diagnosis System
实用植物病害自动诊断系统的超分辨率
作者: Quan Huu Cap, Hitoshi Iyatomi
备注:Published as a conference paper at CISS 2019, Baltimore, MD, USA
链接:arxiv.org/abs/1911.1134

[3D/3D重建等相关]:
【1】 Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors
利用SDF形状先验的可区分渲染自动标记3D对象
作者: Sergey Zakharov, Adrien Gaidon
链接:arxiv.org/abs/1911.1128

[OCR]:
【1】 Procrustes registration of two-dimensional statistical shape models without correspondences
无对应二维统计形状模型的PROCROSTES配准
作者: Alma Eguizabal, Juergen Schmidt
链接:arxiv.org/abs/1911.1143

[其他视频相关]:
【1】 Learning Efficient Video Representation with Video Shuffle Networks
利用视频混洗网络学习高效的视频表示
作者: Pingchuan Ma, Wei Zhang
链接:arxiv.org/abs/1911.1131

【2】 Oops! Predicting Unintentional Action in Video
哎哟!预测视频中的无意行为
作者: Dave Epstein, Carl Vondrick
链接:arxiv.org/abs/1911.1120

【3】 Learning to Learn Words from Narrated Video
学习从旁白视频中学习单词
作者: Dídac Surís, Carl Vondrick
链接:arxiv.org/abs/1911.1123

[其他]:
【1】 SuperGlue: Learning Feature Matching with Graph Neural Networks
Superglue:用图神经网络学习特征匹配
作者: Paul-Edouard Sarlin, Andrew Rabinovich
链接:arxiv.org/abs/1911.1176

【2】 MixNMatch: Multifactor Disentanglement and Encodingfor Conditional Image Generation
MixnMatch:用于条件图像生成的多因素解缠和编码
作者: Yuheng Li, Yong Jae Lee
链接:arxiv.org/abs/1911.1175

【3】 Multi-person Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads
使用智能手机作为触摸板的大型沉浸式显示器中的多人空间交互
作者: Gyanendra Sharma, Richard J Radke
链接:arxiv.org/abs/1911.1175

【4】 DDNet: Dual-path Decoder Network for Occlusion Relationship Reasoning
DDNet:用于遮挡关系推理的双路径解码网络
作者: Panhe Feng, Anlong Ming
链接:arxiv.org/abs/1911.1158

【5】 Decoupling Features and Coordinates for Few-shot RGB Relocalization
用于少炮RGB重定位的解耦特征和坐标
作者: Siyan Dong, Baoquan Chen
链接:arxiv.org/abs/1911.1153

【6】 A Neural Rendering Framework for Free-Viewpoint Relighting
一种用于自由视点重光照的神经绘制框架
作者: Zhang Chen, Jingyi Yu
链接:arxiv.org/abs/1911.1153

【7】 WSOD with PSNet and Box Regression
具有PSNet和Box回归的WSOD
作者: Sheng Yi, Huimin Ma
链接:arxiv.org/abs/1911.1151

【8】 Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
听觉嘴唇:通过提取语音识别器提高嘴唇阅读
作者: Ya Zhao, Mingli Song
备注:AAAI 2020
链接:arxiv.org/abs/1911.1150

【9】 Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog
利用可视化对话框处理多个输入之间所有交互的有效注意机制
作者: Van-Quang Nguyen, Takayuki Okatani
链接:arxiv.org/abs/1911.1139

【10】 Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism
基于粗细注意机制的人类属性识别的分心感知特征学习
作者: Mingda Wu, Yunhong Wang
备注:8 pages, 5 figures, accepted by AAAI-20 as an oral presentation
链接:arxiv.org/abs/1911.1135

【11】 SRG: Snippet Relatedness-based Temporal Action Proposal Generator
SRG:基于片断相关性的时态动作建议生成器
作者: Hyunjun Eun, Changick Kim
链接:arxiv.org/abs/1911.1130

【12】 Efficient Saliency Maps for Explainable AI
可解释人工智能的高效显著图
作者: T. Nathan Mundhenk, Gerald Friedland
备注:In submission to ICLR 2020
链接:arxiv.org/abs/1911.1129

【13】 Translation Insensitive CNNs
翻译不敏感CNNs
作者: Ganesh Sundaramoorthi, Timothy E. Wang
链接:arxiv.org/abs/1911.1123

【14】 Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
结合语言、视觉和演示的机器人策略模仿学习
作者: Simon Stepputtis, Heni Ben Amor
备注:Accepted to the NeurIPS 2019 Workshop on Robot Learning: Control and Interaction in the Real World, Vancouver, Canada
链接:arxiv.org/abs/1911.1174

【15】 Teaching Perception
教学感知
作者: Jonathan Connell
备注:arXiv admin note: text overlap with arXiv:1911.09782
链接:arxiv.org/abs/1911.1162

【16】 A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder
用于识别自闭症谱系障碍中非典型视觉注意的双流端到端深度学习网络
作者: Jin Xie, Huihui Zhou
链接:arxiv.org/abs/1911.1139

【17】 Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement
渐进式Retinex:用于微光图像增强的相互增强的照明-噪声感知网络
作者: Yang Wang, Feng Wu
备注:The 27th ACM International Conference on Multimedia (MM'19)
链接:arxiv.org/abs/1911.1132

【18】 Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching
神经图匹配网络:扩展到超图和多图匹配的学习Lawler二次分配问题
作者: Runzhong Wang, Xiaokang Yang
链接:arxiv.org/abs/1911.1130

【19】 Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
机器学习背景下的六边形图像处理:生物启发的六边形深度学习框架的构想
作者: Tobias Schlosser, Danny Kowerko
备注:Accepted for: 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA)
链接:arxiv.org/abs/1911.1125

机器翻译,仅供参考

发布于 2019-11-27 13:49