ICCV2017|计算机视觉顶级会议 ICCV2017 论文分类汇总

计算机视觉顶会ICCV2017将于2017年10月22日至29日在意大利召开,其论文列表都已公开,下面为部分整理。paperlist下载地址:http://openaccess.thecvf.com/ICCV2017.py

ICCV 2017- 3D Vision Oral论文如下:

Globally-Optimal Inlier SetMaximisation for Simultaneous Camera Pose and Feature Correspondence
Dylan Campbell, Lars Petersson, LaurentKneip, Hongdong Li

pdf

Robust Pseudo Random Fieldsfor Light-Field Stereo Matching
Chao-Tsung Huang

pdf

A Lightweight Approach forOn-The-Fly Reflectance Estimation
Kihwan Kim, Jinwei Gu, Stephen Tyree,Pavlo Molchanov, Matthias Niessner, Jan Kautz

pdf

Distributed Very Large ScaleBundle Adjustment by Global Camera Consensus
Runze Zhang, Siyu Zhu, Tian Fang, LongQuan

pdf

Practical ProjectiveStructure From Motion (P2SfM)
Ludovic Magerand, Alessio Del Bue

pdf

ICCV 2017- Recognition 论文如下:

HydraPlus-Net: Attentive Deep Featuresfor Pedestrian Analysis
Xihui Liu,Haiyu Zhao, Maoqing Tian, Lu Sheng, Jing Shao, Shuai Yi, Junjie Yan, XiaogangWang

pdf

No Fuss Distance Metric Learning UsingProxies
YairMovshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, SaurabhSingh

arXiv

Benchmarking and Error Diagnosis inMulti-Instance Pose Estimation
MatteoRuggero Ronchi, Pietro Perona

[arXiv]

Orientation Invariant Feature Embeddingand Spatial Temporal Regularization for Vehicle Re-Identification
ZhongdaoWang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan,Shengjin Wang, Hongsheng Li, Xiaogang Wang

pdf

Fashion Forward: Forecasting VisualStyle in Fashion
ZiadAl-Halah, Rainer Stiefelhagen, Kristen Grauman

arXiv

Towards 3D Human Pose Estimation in theWild: A Weakly-Supervised Approach
Xingyi Zhou,Qixing Huang, Xiao Sun, Xiangyang Xue, Yichen Wei

arXiv

Flow-Guided Feature Aggregation forVideo Object Detection
Xizhou Zhu,Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei

arXiv

Reasoning About Fine-Grained AttributePhrases Using Reference Games
Jong-Chyi Su,Chenyun Wu, Huaizu Jiang, Subhransu Maji

arXiv

ICCV 2017- Statistical Methods &Learning 论文如下:

Towards Context-Aware InteractionRecognition for Visual Relationship Detection
Bohan Zhuang,Lingqiao Liu, Chunhua Shen, Ian Reid

pdf

When Unsupervised Domain AdaptationMeets Tensor Representations
Hao Lu, LeiZhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel

arXiv

Look, Listen and Learn
ReljaArandjelovic, Andrew Zisserman

arXiv

Grad-CAM: Visual Explanations From DeepNetworks via Gradient-Based Localization
RamprasaathR. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh,Dhruv Batra

pdf

Image-Based Localization Using LSTMsfor Structured Feature Correlation
FlorianWalch, Caner Hazirbas, Laura Leal-Taixe, Torsten Sattler, Sebastian Hilsenbeck,Daniel Cremers

arXiv

ICCV 2017- Video 论文如下:

A Read-Write Memory Network for MovieStory Understanding
Seil Na,Sangho Lee, Jisung Kim, Gunhee Kim

pdf

SegFlow: Joint Learning for VideoObject Segmentation and Optical Flow
JingchunCheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang

pdf

Unsupervised Action Discovery andLocalization in Videos
KhurramSoomro, Mubarak Shah

pdf

Dense-Captioning Events in Videos
Ranjay Krishna,Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles

arXiv

Learning Long-Term Dependencies forAction Recognition With a Biologically-Inspired Deep Network
Yemin Shi,Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang

arXiv

Compressive Quantization for FastObject Instance Search in Videos
Tan Yu,Zhenzhen Wang, Junsong Yuan

pdf

Complex Event Detection by IdentifyingReliable Shots From Untrimmed Videos
Hehe Fan,Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, Alexander G. Hauptmann

pdf

ICCV 2017- Face &Gesture 论文如下:

Visual Transformation Aided ContrastiveLearning for Video-Based Kinship Verification
HamdiDibeklioglu

pdf

Group Re-Identification viaUnsupervised Transfer of Sparse Features Encoding
GiuseppeLisanti, Niki Martinel, Alberto Del Bimbo, Gian Luca Foresti

pdf

Beyond Face Rotation: Global and LocalPerception GAN for Photorealistic and Identity Preserving Frontal ViewSynthesis
Rui Huang,Shu Zhang, Tianyu Li, Ran He

pdf

Efficient Online Local MetricAdaptation via Negative Samples for Person Re-Identification
Jiahuan Zhou,Pei Yu, Wei Tang, Ying Wu

pdf

Stepwise Metric Promotion forUnsupervised Video Person Re-Identification
Zimo Liu,Dong Wang, Huchuan Lu

pdf

细分类

行人检索/重识别论文汇总

Unlabeled Samples Generated by GANImprove the Person Re-Identification Baseline in Vitro
Zhedong Zheng;Liang Zheng; Yi Yang

pdf

SVDNet for Pedestrian Retrieval
Yifan Sun;Liang Zheng; Weijian Deng; Shengjin Wang

arXiv

HydraPlus-Net: Attentive Deep Featuresfor Pedestrian Analysis
Xihui Liu;Haiyu Zhao; Maoqing Tian; Lu Sheng; Jing Shao; Shuai Yi; Junjie Yan; XiaogangWang

pdf

Neural Person Search Machines
Hao Liu;Jiashi Feng; Zequn Jie; Karlekar Jayashree; Bo Zhao; Meibin Qi; Jianguo Jiang;Shuicheng Yan

arXiv

SHaPE: A Novel Graph TheoreticAlgorithm for Making Consensus-Based Decisions in Person Re-IdentificationSystems
Arko Barman;Shishir K. Shah

pdf

Cross-View Asymmetric Metric Learningfor Unsupervised Person Re-Identification
Hong-Xing Yu;Ancong Wu; Wei-Shi Zheng

arXiv

Spatio-Temporal Person Retrieval viaNatural Language Queries
Masataka Yamaguchi;Kuniaki Saito; Yoshitaka Ushiku; Tatsuya Harada

arXiv

A Two Stream Siamese ConvolutionalNeural Network for Person Re-Identification
DahjungChung; Khalid Tahboub; Edward J. Delp

pdf

Learning View-Invariant Features forPerson Identification in Temporally Synchronized Videos Taken by WearableCameras
Kang Zheng;Xiaochuan Fan; Yuewei Lin; Hao Guo; Hongkai Yu; Dazhou Guo; Song Wang

pdf

Efficient Online Local MetricAdaptation via Negative Samples for Person Re-Identification
Jiahuan Zhou;Pei Yu; Wei Tang; Ying Wu

pdf

Stepwise Metric Promotion forUnsupervised Video Person Re-Identification
Zimo Liu;Dong Wang; Huchuan Lu

pdf

RMPE: Regional Multi-Person PoseEstimation
Hao-Shu Fang;Shuqin Xie; Yu-Wing Tai; Cewu Lu

arXiv

Deeply-Learned Part-AlignedRepresentations for Person Re-Identification
Liming Zhao; XiLi; Yueting Zhuang; Jingdong Wang

arXiv

Pose-Driven Deep Convolutional Modelfor Person Re-Identification
Chi Su;Jianing Li; Shiliang Zhang; Junliang Xing; Wen Gao; Qi Tian

arXiv

Dynamic Label Graph Matching forUnsupervised Video Re-Identification
Mang Ye; AndyJ. Ma; Liang Zheng; Jiawei Li; Pong C. Yuen

arXiv

Jointly Attentive Spatial-TemporalPooling Networks for Video-Based Person Re-Identification
Shuangjie Xu;Yu Cheng; Kang Gu; Yang Yang; Shiyu Chang; Pan Zhou

arXiv

RGB-Infrared Cross-Modality PersonRe-Identification
Ancong Wu; Wei-ShiZheng; Hong-Xing Yu; Shaogang Gong; Jianhuang Lai

pdf

Multi-Scale Deep Learning Architecturesfor Person Re-Identification
Xuelin Qian;Yanwei Fu; Yu-Gang Jiang; Tao Xiang; Xiangyang Xue

arXiv

目标跟踪方向论文汇总

CREST: Convolutional Residual Learningfor Visual Tracking
Yibing Song,Chao Ma, Lijun Gong, Jiawei Zhang, Rynson W. H. Lau, Ming-Hsuan Yang

arXiv

Learning Background-Aware CorrelationFilters for Visual Tracking
Hamed KianiGaloogahi, Ashton Fagg, Simon Lucey

arXiv

Need for Speed: A Benchmark for HigherFrame Rate Object Tracking
Hamed KianiGaloogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey

arXiv

Parallel Tracking and Verifying: AFramework for Real-Time and High Accuracy Visual Tracking
Heng Fan,Haibin Ling

arXiv

Non-Rigid Object Tracking viaDeformable Patches Using Shape-Preserved KCF and Level Sets
Xin Sun,Ngai-Man Cheung, Hongxun Yao, Yiluan Guo

pdf

Tracking as Online Decision-Making:Learning a Policy From Streaming Videos With Reinforcement Learning
JamesSupancic,III, Deva Ramanan

pdf

Learning Policies for Adaptive TrackingWith Deep Feature Cascades
Chen Huang,Simon Lucey, Deva Ramanan

arXiv

Robust Object Tracking Based onTemporal and Spatial Deep Networks
Zhu Teng,Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin

pdf

Non-Markovian Globally ConsistentMulti-Object Tracking
AndriiMaksai, Xinchao Wang, Francois Fleuret, Pascal Fua

pdf

Beyond Standard Benchmarks:Parameterizing Performance Evaluation in Visual Object Tracking
Luka CehovinZajc, Alan Lukezic, Ales Leonardis, Matej Kristan

pdf

Online Multi-Object Tracking UsingCNN-Based Single Object Tracker With Spatial-Temporal Attention Mechanism
Qi Chu, WanliOuyang, Hongsheng Li, Xiaogang Wang, Bin Liu, Nenghai Yu

arXiv

目标检测方向论文汇总

Amulet: Aggregating Multi-LevelConvolutional Features for Salient Object Detection
PingpingZhang, Dong Wang, Huchuan Lu, Hongyu Wang, Xiang Ruan

arXiv

Flow-Guided Feature Aggregation forVideo Object Detection
Xizhou Zhu,Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei

arXiv

DeNet: Scalable Real-Time ObjectDetection With Directed Sparse Sampling
LachlanTychsen-Smith, Lars Petersson

arXiv

Recurrent Scale Approximation forObject Detection in CNN
Yu Liu,Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang

arXiv

Adversarial Examples for SemanticSegmentation and Object Detection
Cihang Xie,Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan Yuille

arXiv

Temporal Dynamic Graph LSTM forAction-Driven Video Object Detection
Yuan Yuan,Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta

arXiv

Chained Cascade Network for ObjectDetection
Wanli Ouyang,Kun Wang, Xin Zhu, Xiaogang Wang

pdf

Online Video Object Detection UsingAssociation LSTM
Yongyi Lu,Cewu Lu, Chi-Keung Tang

pdf

Focal Loss for Dense Object Detection
Tsung-Yi Lin,Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollar

arXiv

Spatial Memory for Context Reasoning inObject Detection
Xinlei Chen,Abhinav Gupta

arXiv

2D-Driven 3D Object Detection in RGB-DImages
Jean Lahoud,Bernard Ghanem

pdf

Moving Object Detection in Time-Lapseor Motion Trigger Image Sequences Using Low-Rank and Invariant SparseDecomposition
MoeinShakeri, Hong Zhang

pdf

Soft-NMS -- Improving Object DetectionWith One Line of Code
NavaneethBodla, Bharat Singh, Rama Chellappa, Larry S. Davis

arXiv

行为识别方向论文汇总

SBGAR: Semantics Based Group ActivityRecognition
Xin Li, MooiChoo Chuah

pdf

R-C3D: Region Convolutional 3D Network for Temporal ActivityDetection
Huijuan Xu, Abir Das, Kate Saenko

pdf arXiv

Learning Long-Term Dependenciesfor Action Recognition With a Biologically-Inspired Deep Network
Yemin Shi, YonghongTian, Yaowei Wang, Wei Zeng, Tiejun Huang

pdf arXiv

Ensemble Deep Learning for Skeleton-Based ActionRecognition Using Temporal Sliding LSTM Networks
Inwoong Lee, Doyoung Kim,Seoungyoon Kang, Sanghoon Lee

pdf

Adaptive RNN Tree for Large-Scale Human Action Recognition
Wenbo Li, Longyin Wen, Ming-Ching Chang,Ser Nam Lim, Siwei Lyu

pdf

View Adaptive Recurrent Neural Networks for High Performance HumanAction Recognition From Skeleton Data
Pengfei Zhang, Cuiling Lan, JunliangXing, Wenjun Zeng, Jianru Xue, Nanning Zheng

pdf arXiv

Lattice Long Short-Term Memory for Human Action Recognition
Lin Sun, Kui Jia, Kevin Chen, Dit-YanYeung, Bertram E. Shi, Silvio Savarese

pdf

Single Image Action Recognition Using Semantic Body Part Actions
Zhichen Zhao, Huimin Ma, Shaodi You

pdf arXiv

RPAN: An End-To-End Recurrent Pose-Attention Network for ActionRecognition in Videos
Wenbin Du, Yali Wang, Yu Qiao

pdf

Learning Action Recognition Model From Depth and Skeleton Videos
Hossein Rahmani, Mohammed Bennamoun

[pdf]

分割方向

Embedding 3D Geometric Features forRigid Object Part Segmentation
Yafei Song,Xiaowu Chen, Jia Li, Qinping Zhao

[pdf]

Predicting Deeper Into theFuture of Semantic Segmentation
Pauline Luc, NataliaNeverova, Camille Couprie, Jakob Verbeek, Yann LeCun

[pdf] arXiv

SegFlow: Joint Learning forVideo Object Segmentation and Optical Flow
Jingchun Cheng,Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang

[pdf] arXiv

Video Deblurring viaSemantic Segmentation and Pixel-Wise Non-Linear Kernel
Wenqi Ren, JinshanPan, Xiaochun Cao, Ming-Hsuan Yang

arXiv

Recurrent MultimodalInteraction for Referring Image Segmentation
Chenxi Liu, Zhe Lin,Xiaohui Shen, Jimei Yang, Xin Lu, Alan Yuille

[arXiv]

Cascaded Feature Networkfor Semantic Segmentation of RGB-D Images
Di Lin, GuangyongChen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang

[pdf]

Adversarial Examples forSemantic Segmentation and Object Detection
Cihang Xie, JianyuWang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan Yuille

[pdf] [arXiv]

Primary Video ObjectSegmentation via Complementary CNNs and Neighborhood Reversible Flow
Jia Li, Anlin Zheng,Xiaowu Chen, Bin Zhou

[pdf]

VQS: Linking Segmentationsto Questions and Answers for Supervised Attention in VQA and Question-FocusedSemantic Segmentation
Chuang Gan, YandongLi, Haoxiang Li, Chen Sun, Boqing Gong

[pdf] [arXiv]

Learned Watershed:End-To-End Learning of Seeded Segmentation
Steffen Wolf, LukasSchott, Ullrich Kothe, Fred Hamprecht

[pdf]

Curriculum DomainAdaptation for Semantic Segmentation of Urban Scenes
Yang Zhang, PhilipDavid, Boqing Gong

[pdf] [arXiv]

Bringing Background Intothe Foreground: Making All Classes Equal in Weakly-Supervised Video SemanticSegmentation
Fatemeh Sadat Saleh,Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez

[pdf] [arXiv]

Pixel-Level Matching for Video ObjectSegmentation Using Convolutional Neural Networks
Jae Shin Yoon, Francois Rameau,Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon

[pdf] [arXiv]

SceneNet RGB-D: Can 5M Synthetic Images BeatGeneric ImageNet Pre-Training on Indoor Segmentation?
John McCormac, Ankur Handa,Stefan Leutenegger, Andrew J. Davison

[pdf]

Directionally Convolutional Networks for 3D ShapeSegmentation
Haotian Xu, Ming Dong, ZichunZhong

[pdf]

Deep Dual Learning for Semantic ImageSegmentation
Ping Luo, Guangrun Wang, LiangLin, Xiaogang Wang

[pdf]

Universal Adversarial Perturbations AgainstSemantic Image Segmentation
Jan Hendrik Metzen, MummadiChaithanya Kumar, Thomas Brox, Volker Fischer

[pdf] [arXiv]

CDTS: CollaborativeDetection, Tracking, and Segmentation for Online Multiple Object Segmentationin Videos
Yeong Jun Koh,Chang-Su Kim

[pdf]

Higher-Order Minimum CostLifted Multicuts for Motion Segmentation
Margret Keuper

[pdf] [arXiv]

Learning Video ObjectSegmentation With Visual Memory
Pavel Tokmakov,Karteek Alahari, Cordelia Schmid

[arXiv]

RDFNet: RGB-D Multi-LevelResidual Feature Fusion for Indoor Semantic Segmentation
Seong-Jin Park,Ki-Sang Hong, Seungyong Lee

[pdf]

Unsupervised ObjectSegmentation in Video by Efficient Selection of Highly Probable PositiveFeatures
Emanuela Haller,Marius Leordeanu

[pdf] [arXiv]

3D Graph Neural Networksfor RGBD Semantic Segmentation
Xiaojuan Qi, RenjieLiao, Jiaya Jia, Sanja Fidler, Raquel Urtasun

[pdf]

Semi Supervised SemanticSegmentation Using Generative Adversarial Network
Nasim Souly, ConcettoSpampinato, Mubarak Shah

[pdf]

参考网址
http://openaccess.thecvf.com/ICCV2017.py
https://mp.weixin.qq.com/s/PsKO1nmkrMfQl0DjQ6O9wg
https://zhuanlan.zhihu.com/p/30066452
https://www.zhihu.com/question/62533482/answer/207...


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