ICCV2017|计算机视觉顶级会议 ICCV2017 论文分类汇总
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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：https://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
Robust Pseudo Random Fieldsfor Light-Field Stereo Matching
Chao-Tsung Huang
A Lightweight Approach forOn-The-Fly Reflectance Estimation
Kihwan Kim, Jinwei Gu, Stephen Tyree,Pavlo Molchanov, Matthias Niessner, Jan Kautz
Distributed Very Large ScaleBundle Adjustment by Global Camera Consensus
Runze Zhang, Siyu Zhu, Tian Fang, LongQuan
Practical ProjectiveStructure From Motion (P2SfM)
Ludovic Magerand, Alessio Del Bue
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
No Fuss Distance Metric Learning UsingProxies
YairMovshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, SaurabhSingh
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
Fashion Forward: Forecasting VisualStyle in Fashion
ZiadAl-Halah, Rainer Stiefelhagen, Kristen Grauman
Towards 3D Human Pose Estimation in theWild: A Weakly-Supervised Approach
Xingyi Zhou,Qixing Huang, Xiao Sun, Xiangyang Xue, Yichen Wei
Flow-Guided Feature Aggregation forVideo Object Detection
Xizhou Zhu,Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei
Reasoning About Fine-Grained AttributePhrases Using Reference Games
Jong-Chyi Su,Chenyun Wu, Huaizu Jiang, Subhransu Maji
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
When Unsupervised Domain AdaptationMeets Tensor Representations
Hao Lu, LeiZhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel
Look, Listen and Learn
ReljaArandjelovic, Andrew Zisserman
Grad-CAM: Visual Explanations From DeepNetworks via Gradient-Based Localization
RamprasaathR. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh,Dhruv Batra
Image-Based Localization Using LSTMsfor Structured Feature Correlation
FlorianWalch, Caner Hazirbas, Laura Leal-Taixe, Torsten Sattler, Sebastian Hilsenbeck,Daniel Cremers
ICCV 2017- Video 论文如下：
A Read-Write Memory Network for MovieStory Understanding
Seil Na,Sangho Lee, Jisung Kim, Gunhee Kim
SegFlow: Joint Learning for VideoObject Segmentation and Optical Flow
JingchunCheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang
Unsupervised Action Discovery andLocalization in Videos
KhurramSoomro, Mubarak Shah
Dense-Captioning Events in Videos
Ranjay Krishna,Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles
Learning Long-Term Dependencies forAction Recognition With a Biologically-Inspired Deep Network
Yemin Shi,Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang
Compressive Quantization for FastObject Instance Search in Videos
Tan Yu,Zhenzhen Wang, Junsong Yuan
Complex Event Detection by IdentifyingReliable Shots From Untrimmed Videos
Hehe Fan,Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, Alexander G. Hauptmann
ICCV 2017- Face &Gesture 论文如下：
Visual Transformation Aided ContrastiveLearning for Video-Based Kinship Verification
HamdiDibeklioglu
Group Re-Identification viaUnsupervised Transfer of Sparse Features Encoding
GiuseppeLisanti, Niki Martinel, Alberto Del Bimbo, Gian Luca Foresti
Beyond Face Rotation: Global and LocalPerception GAN for Photorealistic and Identity Preserving Frontal ViewSynthesis
Rui Huang,Shu Zhang, Tianyu Li, Ran He
Efficient Online Local MetricAdaptation via Negative Samples for Person Re-Identification
Jiahuan Zhou,Pei Yu, Wei Tang, Ying Wu
Stepwise Metric Promotion forUnsupervised Video Person Re-Identification
Zimo Liu,Dong Wang, Huchuan Lu
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
SVDNet for Pedestrian Retrieval
Yifan Sun;Liang Zheng; Weijian Deng; Shengjin Wang
HydraPlus-Net: Attentive Deep Featuresfor Pedestrian Analysis
Xihui Liu;Haiyu Zhao; Maoqing Tian; Lu Sheng; Jing Shao; Shuai Yi; Junjie Yan; XiaogangWang
Neural Person Search Machines
Hao Liu;Jiashi Feng; Zequn Jie; Karlekar Jayashree; Bo Zhao; Meibin Qi; Jianguo Jiang;Shuicheng Yan
SHaPE: A Novel Graph TheoreticAlgorithm for Making Consensus-Based Decisions in Person Re-IdentificationSystems
Arko Barman;Shishir K. Shah
Cross-View Asymmetric Metric Learningfor Unsupervised Person Re-Identification
Hong-Xing Yu;Ancong Wu; Wei-Shi Zheng
Spatio-Temporal Person Retrieval viaNatural Language Queries
Masataka Yamaguchi;Kuniaki Saito; Yoshitaka Ushiku; Tatsuya Harada
A Two Stream Siamese ConvolutionalNeural Network for Person Re-Identification
DahjungChung; Khalid Tahboub; Edward J. Delp
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
Efficient Online Local MetricAdaptation via Negative Samples for Person Re-Identification
Jiahuan Zhou;Pei Yu; Wei Tang; Ying Wu
Stepwise Metric Promotion forUnsupervised Video Person Re-Identification
Zimo Liu;Dong Wang; Huchuan Lu
RMPE: Regional Multi-Person PoseEstimation
Hao-Shu Fang;Shuqin Xie; Yu-Wing Tai; Cewu Lu
Deeply-Learned Part-AlignedRepresentations for Person Re-Identification
Liming Zhao; XiLi; Yueting Zhuang; Jingdong Wang
Pose-Driven Deep Convolutional Modelfor Person Re-Identification
Chi Su;Jianing Li; Shiliang Zhang; Junliang Xing; Wen Gao; Qi Tian
Dynamic Label Graph Matching forUnsupervised Video Re-Identification
Mang Ye; AndyJ. Ma; Liang Zheng; Jiawei Li; Pong C. Yuen
Jointly Attentive Spatial-TemporalPooling Networks for Video-Based Person Re-Identification
Shuangjie Xu;Yu Cheng; Kang Gu; Yang Yang; Shiyu Chang; Pan Zhou
RGB-Infrared Cross-Modality PersonRe-Identification
Ancong Wu; Wei-ShiZheng; Hong-Xing Yu; Shaogang Gong; Jianhuang Lai
Multi-Scale Deep Learning Architecturesfor Person Re-Identification
Xuelin Qian;Yanwei Fu; Yu-Gang Jiang; Tao Xiang; Xiangyang Xue
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
Learning Background-Aware CorrelationFilters for Visual Tracking
Hamed KianiGaloogahi, Ashton Fagg, Simon Lucey
Need for Speed: A Benchmark for HigherFrame Rate Object Tracking
Hamed KianiGaloogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey
Parallel Tracking and Verifying: AFramework for Real-Time and High Accuracy Visual Tracking
Heng Fan,Haibin Ling
Non-Rigid Object Tracking viaDeformable Patches Using Shape-Preserved KCF and Level Sets
Xin Sun,Ngai-Man Cheung, Hongxun Yao, Yiluan Guo
Tracking as Online Decision-Making:Learning a Policy From Streaming Videos With Reinforcement Learning
JamesSupancic,III, Deva Ramanan
Learning Policies for Adaptive TrackingWith Deep Feature Cascades
Chen Huang,Simon Lucey, Deva Ramanan
Robust Object Tracking Based onTemporal and Spatial Deep Networks
Zhu Teng,Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin
Non-Markovian Globally ConsistentMulti-Object Tracking
AndriiMaksai, Xinchao Wang, Francois Fleuret, Pascal Fua
Beyond Standard Benchmarks:Parameterizing Performance Evaluation in Visual Object Tracking
Luka CehovinZajc, Alan Lukezic, Ales Leonardis, Matej Kristan
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
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
Flow-Guided Feature Aggregation forVideo Object Detection
Xizhou Zhu,Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei
DeNet: Scalable Real-Time ObjectDetection With Directed Sparse Sampling
LachlanTychsen-Smith, Lars Petersson
Recurrent Scale Approximation forObject Detection in CNN
Yu Liu,Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang
Adversarial Examples for SemanticSegmentation and Object Detection
Cihang Xie,Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan Yuille
Temporal Dynamic Graph LSTM forAction-Driven Video Object Detection
Yuan Yuan,Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta
Chained Cascade Network for ObjectDetection
Wanli Ouyang,Kun Wang, Xin Zhu, Xiaogang Wang
Online Video Object Detection UsingAssociation LSTM
Yongyi Lu,Cewu Lu, Chi-Keung Tang
Focal Loss for Dense Object Detection
Tsung-Yi Lin,Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollar
Spatial Memory for Context Reasoning inObject Detection
Xinlei Chen,Abhinav Gupta
2D-Driven 3D Object Detection in RGB-DImages
Jean Lahoud,Bernard Ghanem
Moving Object Detection in Time-Lapseor Motion Trigger Image Sequences Using Low-Rank and Invariant SparseDecomposition
MoeinShakeri, Hong Zhang
Soft-NMS -- Improving Object DetectionWith One Line of Code
NavaneethBodla, Bharat Singh, Rama Chellappa, Larry S. Davis
行为识别方向论文汇总
SBGAR: Semantics Based Group ActivityRecognition
Xin Li, MooiChoo Chuah
R-C3D: Region Convolutional 3D Network for Temporal ActivityDetection
Huijuan Xu, Abir Das, Kate Saenko
Learning Long-Term Dependenciesfor Action Recognition With a Biologically-Inspired Deep Network
Yemin Shi, YonghongTian, Yaowei Wang, Wei Zeng, Tiejun Huang
Ensemble Deep Learning for Skeleton-Based ActionRecognition Using Temporal Sliding LSTM Networks
Inwoong Lee, Doyoung Kim,Seoungyoon Kang, Sanghoon Lee
Adaptive RNN Tree for Large-Scale Human Action Recognition
Wenbo Li, Longyin Wen, Ming-Ching Chang,Ser Nam Lim, Siwei Lyu
View Adaptive Recurrent Neural Networks for High Performance HumanAction Recognition From Skeleton Data
Pengfei Zhang, Cuiling Lan, JunliangXing, Wenjun Zeng, Jianru Xue, Nanning Zheng
Lattice Long Short-Term Memory for Human Action Recognition
Lin Sun, Kui Jia, Kevin Chen, Dit-YanYeung, Bertram E. Shi, Silvio Savarese
Single Image Action Recognition Using Semantic Body Part Actions
Zhichen Zhao, Huimin Ma, Shaodi You
RPAN: An End-To-End Recurrent Pose-Attention Network for ActionRecognition in Videos
Wenbin Du, Yali Wang, Yu Qiao
Learning Action Recognition Model From Depth and Skeleton Videos
Hossein Rahmani, Mohammed Bennamoun
[pdf]
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
SegFlow: Joint Learning forVideo Object Segmentation and Optical Flow
Jingchun Cheng,Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang
Video Deblurring viaSemantic Segmentation and Pixel-Wise Non-Linear Kernel
Wenqi Ren, JinshanPan, Xiaochun Cao, Ming-Hsuan Yang
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
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
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
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
Pixel-Level Matching for Video ObjectSegmentation Using Convolutional Neural Networks
Jae Shin Yoon, Francois Rameau,Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon
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
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
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
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
https://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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