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ORCID16th ICCV Workshops 2017: Venice, Italy
- 2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-1034-3
Bio-Image Computing
- Constantin Pape
, Thorsten Beier, Peter Li, Viren Jain, Davi D. Bock, Anna Kreshuk:
Solving Large Multicut Problems for Connectomics via Domain Decomposition. 1-10 - Martin Maska, Pavel Matula:
Particle Tracking Accuracy Measurement Based on Comparison of Linear Oriented Forests. 11-17 - Joseph Paul Cohen, Geneviève Boucher, Craig A. Glastonbury, Henry Z. Lo, Yoshua Bengio:
Count-ception: Counting by Fully Convolutional Redundant Counting. 18-26 - Mira Valkonen, Kimmo Kartasalo, Kaisa Liimatainen, Matti Nykter, Leena Latonen, Pekka Ruusuvuori:
Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology. 27-35 - Sajith Kecheril Sadanandan, Johan Karlsson, Carolina Wählby:
Spheroid Segmentation Using Multiscale Deep Adversarial Networks. 36-41 - Denis Fortun, Noémie Debroux, Charles Kervrann:
Spatially-Variant Kernel for Optical Flow Under Low Signal-to-Noise Ratios Application to Microscopy. 42-48 - Heba Sailem, Mar Arias-Garcia, Chris Bakal, Andrew Zisserman, Jens Rittscher:
Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning. 49-55 - Faïçal Selka, Thomas Blein, Jasmine Burguet, Eric Biot, Patrick Laufs, Philippe Andrey:
Towards a Spatio-Temporal Atlas of 3D Cellular Parameters During Leaf Morphogenesis. 56-63 - Neslihan Bayramoglu, Mika Kaakinen, Lauri Eklund, Janne Heikkilä:
Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks. 64-71 - Swati, Gaurav Gupta, Mohit Yadav, Monika Sharma, Lovekesh Vig:
Siamese Networks for Chromosome Classification. 72-81 - Gustav Forslid, Håkan Wieslander, Ewert Bengtsson, Carolina Wählby, Jan-Michael Hirsch, Christina Runow Stark, Sajith Kecheril Sadanandan:
Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy. 82-89 - Keylor Daniel Chaves Viquez, Ognjen Arandjelovic, Andrew Blaikie, In Ae Hwang:
Synthesising Wider Field Images from Narrow-Field Retinal Video Acquired Using a Low-Cost Direct Ophthalmoscope (Arclight) Attached to a Smartphone. 90-98 - Qiuyu Chen, Ryoma Bise, Lin Gu, Yinqiang Zheng, Imari Sato, Jenq-Neng Hwang, Sadakazu Aiso, Nobuaki Imanishi:
Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. 99-106 - Jonas Pichat, Juan Eugenio Iglesias, Sotiris Nousias, Tarek A. Yousry:
Part-to-Whole Registration of Histology and MRI Using Shape Elements. 107-115 - Courosh Mehanian, Mayoore S. Jaiswal, Charles B. Delahunt, Clay Thompson, Matthew P. Horning, Liming Hu, Shawn K. McGuire, Travis Ostbye, Martha Mehanian, Benjamin K. Wilson, Cary R. Champlin, Earl Long, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell:
Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks. 116-125 - Zihao Tang, Donghao Zhang, Siqi Liu, Yang Song, Hanchuan Peng, Weidong Cai:
Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing. 126-133 - Marcelo Cicconet, Daniel R. Hochbaum, David L. Richmond, Bernardo L. Sabatin:
Bots for Software-Assisted Analysis of Image-Based Transcriptomics. 134-142
Data-Driven BxDF Models for Computer Vision Applications
- Jannik Boll Nielsen, Jonathan Dyssel Stets, Rasmus Ahrenkiel Lyngby, Henrik Aanæs, Anders Bjorholm Dahl, Jeppe Revall Frisvad:
A Variational Study on BRDF Reconstruction in a Structured Light Scanner. 143-152 - Tanaboon Tongbuasirilai, Jonas Unger, Murat Kurt:
Efficient BRDF Sampling Using Projected Deviation Vector Parameterization. 153-158 - Andrea Luongo, Viggo Falster, Mads Brix Doest, Dongya Li, Francesco Regi, Yang Zhang:
Modeling the Anisotropic Reflectance of a Surface with Microstructure Engineered to Obtain Visible Contrast After Rotation. 159-165
Computer Vision for Road Scene Understanding and Autonomous Driving
- Gong Cheng, Yiming Qian, James H. Elder:
Fusing Geometry and Appearance for Road Segmentation. 166-173 - Satoshi Tsutsui, Shunta Saito, Tommi Kerola:
Distantly Supervised Road Segmentation. 174-181 - Jui-Ting Chien, Chia-Jung Chou, Ding-Jie Chen, Hwann-Tzong Chen:
Detecting Nonexistent Pedestrians. 182-189 - Martin Ahrnbom, Morten Borno Jensen, Kalle Åström, Mikael G. Nilsson, Håkan Ardö, Thomas B. Moeslund:
Improving a Real-Time Object Detector with Compact Temporal Information. 190-197 - Noa Garnett, Shai Silberstein, Shaul Oron, Ethan Fetaya, Uri Verner, Ariel Ayash, Vlad Goldner, Rafi Cohen, Kobi Horn, Dan Levi:
Real-Time Category-Based and General Obstacle Detection for Autonomous Driving. 198-205 - Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior. 206-213 - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Going Deeper: Autonomous Steering with Neural Memory Networks. 214-221 - Che-Tsung Lin, Patrisia Sherryl Santoso, Shu-Ping Chen, Hung-Jin Lin, Shang-Hong Lai:
Fast Vehicle Detector for Autonomous Driving. 222-229 - Ignas Budvytis, Patrick Sauer, Thomas Roddick, Kesar Breen, Roberto Cipolla:
Large Scale Labelled Video Data Augmentation for Semantic Segmentation in Driving Scenarios. 230-237 - Josip Krapac, Ivan Kreso, Sinisa Segvic:
Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images. 238-245 - Kazuki Kozuka, Juan Carlos Niebles:
Risky Region Localization with Point Supervision. 246-253 - Christian Winkens, Florian Sattler, Veronika Adams, Dietrich Paulus:
HyKo: A Spectral Dataset for Scene Understanding. 254-261 - Supannee Tanathong, William A. P. Smith, Stephen Remde:
Eliminating the Observer Effect: Shadow Removal in Orthomosaics of the Road Network. 262-269
Web-Scale Vision and Social Media
- Hang Su, Shaogang Gong, Xiatian Zhu:
WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web. 270-279 - Adrian Popescu, Alexandru-Lucian Gînsca, Hervé Le Borgne:
Scale-Free Content Based Image Retrieval (or Nearly so). 280-288 - Yuen Peng Loh, Song Tong, Xuefeng Liang, Takatsune Kumada, Chee Seng Chan:
Understanding Scenery Quality: A Visual Attention Measure and Its Computational Model. 289-297 - Yin-Hsi Kuo, Winston H. Hsu:
Feature Learning with Rank-Based Candidate Selection for Product Search. 298-307 - Lucia Vadicamo, Fabio Carrara, Andrea Cimino, Stefano Cresci, Felice Dell'Orletta, Fabrizio Falchi, Maurizio Tesconi:
Cross-Media Learning for Image Sentiment Analysis in the Wild. 308-317 - Dong Liu, Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha, Wenjun Zeng:
Adaptive Pooling in Multi-instance Learning for Web Video Annotation. 318-327 - Lei Chen, Mengyao Zhai, Greg Mori:
Attending to Distinctive Moments: Weakly-Supervised Attention Models for Action Localization in Video. 328-336 - Delia Fernandez, David Varas, Joan Espadaler, Issey Masuda, Jordi Ferreira, Alejandro Woodward, David Rodriguez, Xavier Giró-i-Nieto, Juan Carlos Riveiro, Elisenda Bou:
ViTS: Video Tagging System from Massive Web Multimedia Collections. 337-346 - Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Yiannis Kompatsiaris:
Near-Duplicate Video Retrieval with Deep Metric Learning. 347-356 - Andrey Kuzmin, Alexander Vakhitov, Victor S. Lempitsky:
Set2Model Networks: Learning Discriminatively To Learn Generative Models. 357-366
Multi-sensor Fusion for Dynamic Scene Understanding
- Ekrem Emre Yurdakul, Yucel Yemez:
Semantic Segmentation of RGBD Videos with Recurrent Fully Convolutional Neural Networks. 367-374 - Robert Bergevin, Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau:
Mutual Foreground Segmentation with Multispectral Stereo Pairs. 375-384 - Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn:
Triplet-Based Deep Similarity Learning for Person Re-Identification. 385-393 - Zoltán Pusztai, Levente Hajder:
Accurate Calibration of LiDAR-Camera Systems Using Ordinary Boxes. 394-402 - Ryohei Kuga, Asako Kanezaki, Masaki Samejima, Yusuke Sugano, Yasuyuki Matsushita:
Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections. 403-411 - Konstantinos Avgerinakis, Panagiotis Giannakeris, Alexia Briassouli, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris:
LBP-Flow and Hybrid Encoding for Real-Time Water and Fire Classification. 412-418 - Trong Phuc Truong, Masahiro Yamaguchi, Shohei Mori, Vincent Nozick, Hideo Saito:
Registration of RGB and Thermal Point Clouds Generated by Structure From Motion. 419-427
Computer Vision for Audio-Visual Media
- Nam Le, Jean-Marc Odobez:
Improving Speaker Turn Embedding by Crossmodal Transfer Learning from Face Embedding. 428-437 - Alessio Brutti, Andrea Cavallaro:
Unsupervised Cross-Modal Deep-Model Adaptation for Audio-Visual Re-identification with Wearable Cameras. 438-445 - Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
Exploiting the Complementarity of Audio and Visual Data in Multi-speaker Tracking. 446-454 - Ariel Ephrat, Tavi Halperin, Shmuel Peleg:
Improved Speech Reconstruction from Silent Video. 455-462 - Emilia Gómez, Pablo Arias, Pablo Zinemanas, Gloria Haro:
Visual Music Transcription of Clarinet Video Recordings Trained with Audio-Based Labelled Data. 463-470
Physics Based Vision Meets Deep Learning
- Jiqing Wu, Jonas Aeschbacher, Radu Timofte:
In Defense of Shallow Learned Spectral Reconstruction from RGB Images. 471-479 - Aitor Alvarez-Gila, Joost van de Weijer, Estíbaliz Garrote:
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB. 480-490 - Kunming Li, Yu Li, Shaodi You, Nick Barnes:
Photo-Realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather. 491-500 - Hiroaki Santo, Masaki Samejima, Yusuke Sugano, Boxin Shi, Yasuyuki Matsushita:
Deep Photometric Stereo Network. 501-509 - Jinjian Wu, Jichen Zeng, Yongxu Liu, Guangming Shi, Weisi Lin:
Hierarchical Feature Degradation Based Blind Image Quality Assessment. 510-517 - Zhiwei Xiong, Zhan Shi, Huiqun Li, Lizhi Wang, Dong Liu, Feng Wu:
HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections. 518-525 - Ye Yu, William A. P. Smith:
PVNN: A Neural Network Library for Photometric Vision. 526-535
Matrix and Tensor Factorization Methods in Computer Vision
- Vahan Hovhannisyan, Yannis Panagakis, Stefanos Zafeiriou, Panos Parpas:
Multilevel Approximate Robust Principal Component Analysis. 536-544 - Min Wang, Baoyuan Liu, Hassan Foroosh:
Factorized Convolutional Neural Networks. 545-553 - Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Yeongseon Lee:
A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic. 554-562 - Prashanth Kumar G., Rajiv Ranjan Sahay:
Accurate Structure Recovery via Weighted Nuclear Norm: A Low Rank Approach to Shape-from-Focus. 563-574
Observing and Understanding Hands in Action
- Paschalis Panteleris, Antonis A. Argyros:
Back to RGB: 3D Tracking of Hands and Hand-Object Interactions Based on Short-Baseline Stereo. 575-584 - Markus Oberweger, Vincent Lepetit:
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation. 585-594 - Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo. 595-603 - Fabien Baradel, Christian Wolf, Julien Mille:
Human Action Recognition: Pose-Based Attention Draws Focus to Hands. 604-613 - Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery. 614-622 - Wenbin Wu, Chenyang Li, Zhuo Cheng, Xin Zhang, Lianwen Jin:
YOLSE: Egocentric Fingertip Detection from Single RGB Images. 623-630 - Chenyang Li, Xin Zhang, Lianwen Jin:
LPSNet: A Novel Log Path Signature Feature Based Hand Gesture Recognition Framework. 631-639 - Kankana Roy, Aparna Mohanty, Rajiv Ranjan Sahay:
Deep Learning Based Hand Detection in Cluttered Environment Using Skin Segmentation. 640-649
3D Reconstruction Meets Semantics
- Carl Toft, Carl Olsson, Fredrik Kahl:
Long-Term 3D Localization and Pose from Semantic Labellings. 650-659 - Daniele De Gregorio, Tommaso Cavallari, Luigi Di Stefano:
SkiMap++: Real-Time Mapping and Object Recognition for Robotics. 660-668 - Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurélien Plyer, David Filliat:
SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics. 669-678 - Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni:
3D Object Reconstruction from a Single Depth View with Adversarial Learning. 679-688 - Nolan Lunscher, John S. Zelek:
Deep Learning Anthropomorphic 3D Point Clouds from a Single Depth Map Camera Viewpoint. 689-696 - Gianluca Agresti, Ludovico Minto, Giulio Marin, Pietro Zanuttigh:
Deep Learning for Confidence Information in Stereo and ToF Data Fusion. 697-705 - Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci:
Multi-view Stereo with Single-View Semantic Mesh Refinement. 706-715 - Francis Engelmann, Theodora Kontogianni, Alexander Hermans, Bastian Leibe:
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds. 716-724
Vision in Practice on Autonomous Robots
- Somdyuti Paul, Lovekesh Vig:
Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces. 725-733 - Andrea Manno-Kovacs, Levente Kovács:
Lightweight Monocular Obstacle Avoidance by Salient Feature Fusion. 734-741 - Jakob Suchan, Mehul Bhatt:
Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions. 742-750 - Marco Melis, Ambra Demontis, Battista Biggio, Gavin Brown, Giorgio Fumera, Fabio Roli:
Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid. 751-759 - Huajun Zhou, Zechao Li, Chengcheng Ning, Jinhui Tang:
CAD: Scale Invariant Framework for Real-Time Object Detection. 760-768 - Timo Lüddecke, Florentin Wörgötter:
Learning to Segment Affordances. 769-776
Capturing and Modeling Human Bodies, Faces and Hands
- Shuang Liu, Zhao Wang, Xiaosong Yang, Jian-Jun Zhang:
Realtime Dynamic 3D Facial Reconstruction for Monocular Video In-the-Wild. 777-785 - Hang Dai, William A. P. Smith, Nick E. Pears, Christian Duncan:
Symmetry-Factored Statistical Modelling of Craniofacial Shape. 786-794 - Jesse Scott, Robert T. Collins, Christopher Funk, Yanxi Liu:
4D Model-Based Spatiotemporal Alignment of Scripted Taiji Quan Sequences. 795-804 - Ehsan Jahangiri, Alan L. Yuille:
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections. 805-814 - Tomislav Petkovic, Tomislav Pribanic, Matea Donlic, Peter F. Sturm:
Efficient Separation Between Projected Patterns for Multiple Projector 3D People Scanning. 815-823 - Sarah Alotaibi, William A. P. Smith:
A Biophysical 3D Morphable Model of Face Appearance. 824-832 - Miroslava Slavcheva, Maximilian Baust, Slobodan Ilic:
Towards Implicit Correspondence in Signed Distance Field Evolution. 833-841 - Petrissa Zell, Bodo Rosenhahn:
Learning-Based Inverse Dynamics of Human Motion. 842-850
Geometry Meets Deep Learning
- Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
Semantic Texture for Robust Dense Tracking. 851-859 - Pascal Frossard, Renata Khasanova:
Graph-Based Classification of Omnidirectional Images. 860-869 - Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu:
Image-Based Localization Using Hourglass Networks. 870-877 - Jiahao Pang, Wenxiu Sun, Jimmy S. J. Ren, Chengxi Yang, Qiong Yan:
Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching. 878-886 - Saman Zia, Buket Yüksel, Deniz Yuret, Yucel Yemez:
RGB-D Object Recognition Using Deep Convolutional Neural Networks. 887-894 - Anil Bas, Patrik Huber, William A. P. Smith, Muhammad Awais, Josef Kittler:
3D Morphable Models as Spatial Transformer Networks. 895-903 - Nathalie Japkowicz, Farzan Erlik Nowruzi, Robert Laganière:
Homography Estimation from Image Pairs with Hierarchical Convolutional Networks. 904-911 - Tomoyuki Mukasa, Jiu Xu, Björn Stenger:
3D Scene Mesh from CNN Depth Predictions and Sparse Monocular SLAM. 912-919 - Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, Juho Kannala:
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network. 920-929 - Adrian Johnston, Ravi Garg, Gustavo Carneiro, Ian D. Reid:
Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image. 930-939 - Lukasz Romaszko, Christopher K. I. Williams, Pol Moreno, Pushmeet Kohli:
Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image. 940-948
Compact and Efficient Feature Representation and Learning in Computer Vision
- Shanshan Wang, Lei Zhang, Wangmeng Zuo:
Class-Specific Reconstruction Transfer Learning via Sparse Low-Rank Constraint. 949-957 - Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan:
DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows. 958-966 - Li Huan, Wang Li, Yujian Qin:
Vehicle Logo Retrieval Based on Hough Transform and Deep Learning. 967-973 - Anubha Gupta, Rahul Duggal:
P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks. 974-978 - M. J. Shafiee, Elnaz Barshan, Francis Li, Brendan Chwyl, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks. 979-986 - Joonseok Lee, Sami Abu-El-Haija:
Large-Scale Content-Only Video Recommendation. 987-995 - Xiyang Dai, Ben Southall, Nhon Trinh, Bogdan Matei:
Efficient Fine-Grained Classification and Part Localization Using One Compact Network. 996-1004 - Pichao Wang, Shuang Wang, Zhimin Gao, Yonghong Hou, Wanqing Li:
Structured Images for RGB-D Action Recognition. 1005-1014 - Dongshun Cui, Guanghao Zhang, Wei Han:
Compact Feature Representation for Image Classification Using ELMs. 1015-1022 - Rahul Mitra, Jiakai Zhang, Sanath Narayan, Shuaib Ahmed, Sharat Chandran, Arjun Jain:
Improved Descriptors for Patch Matching and Reconstruction. 1023-1031 - Antonio Fernández, David Lima, Francesco Bianconi, Fabrizio Smeraldi:
Compact Color Texture Descriptor Based on Rank Transform and Product Ordering in the RGB Color Space. 1032-1040 - Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada:
Spatial-Temporal Weighted Pyramid Using Spatial Orthogonal Pooling. 1041-1049 - Tingzhu Bai, Jianing Yang, Jun Chen, Xian Guo, Xiangsheng Huang, Yuxing Yao:
Double-Task Deep Q-Learning with Multiple Views. 1050-1058 - Ronan Sicre, Julien Rabin, Yannis Avrithis, Teddy Furon, Frédéric Jurie, Ewa Kijak:
Automatic Discovery of Discriminative Parts as a Quadratic Assignment Problem. 1059-1068 - Chang Chen, Xinmei Tian, Feng Wu, Zhiwei Xiong:
UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution. 1069-1076 - Yu Zhong, Gil J. Ettinger:
Enlightening Deep Neural Networks with Knowledge of Confounding Factors. 1077-1086 - Cairong Zhao, Xuekuan Wang, Yipeng Chen, Can Gao, Wangmeng Zuo, Duoqian Miao:
Consistent Iterative Multi-view Transfer Learning for Person Re-identification. 1087-1094 - Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi:
Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining. 1095-1102 - Hieu Le, Chen-Ping Yu, Gregory J. Zelinsky, Dimitris Samaras:
Co-localization with Category-Consistent Features and Geodesic Distance Propagation. 1103-1112 - Yawen Cui, Bo Zhang, Wenjing Yang, Zhiyuan Wang, Yin Li, Xiaodong Yi, Yuhua Tang:
End-to-End Visual Target Tracking in Multi-robot Systems Based on Deep Convolutional Neural Network. 1113-1121 - Junyu Dong, Xinghui Dong:
Oceanic Scene Recognition Using Graph-of-Words (GoW). 1122-1130 - Hichem Sahbi:
Coarse-to-Fine Deep Kernel Networks. 1131-1139 - Amarjot Singh, Nick G. Kingsbury:
Efficient Convolutional Network Learning Using Parametric Log Based Dual-Tree Wavelet ScatterNet. 1140-1147 - Thomhert S. Siadari, Mikyong Han, Hyunjin Yoon:
4D Effect Video Classification with Shot-Aware Frame Selection and Deep Neural Networks. 1148-1155 - Xinhan Di, Pengqian Yu:
Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks. 1156-1164 - Xinhan Di, Pengqian Yu:
Multiplicative Noise Channel in Generative Adversarial Networks. 1165-1172 - Matheus Palhares Viana, Dário Augusto Borges Oliveira:
Fast CNN-Based Document Layout Analysis. 1173-1180 - Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya:
Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) for Brain Matter Segmentation. 1181-1188 - Jingjing Meng, Suchen Wang, Hongxing Wang, Yap-Peng Tan, Junsong Yuan:
Video Summarization via Multi-view Representative Selection. 1189-1198 - Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu:
Dynamic Computational Time for Visual Attention. 1199-1209 - Xin Zhang, Li Liu, Yuxiang Xie, Jie Chen, Lingda Wu, Matti Pietikäinen:
Rotation Invariant Local Binary Convolution Neural Networks. 1210-1219 - Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong:
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis. 1220-1227 - Liangke Gui, Yu-Xiong Wang, Martial Hebert:
Few-Shot Hash Learning for Image Retrieval. 1228-1237 - Ngoc-Son Vu, Vu-Lam Nguyen, Philippe-Henri Gosselin:
A Handcrafted Normalized-Convolution Network for Texture Classification. 1238-1245 - Omar Seddati, Stéphane Dupont, Saïd Mahmoudi, Mahnaz Parian:
Towards Good Practices for Image Retrieval Based on CNN Features. 1246-1255
Image-Based Modeling of Articulated and Deformable Objects
- Somenath Das, Suchendra M. Bhandarkar:
Local Geometry Inclusive Global Shape Representation. 1256-1265 - Emel Küpçü, Yucel Yemez:
Reliable Isometric Point Correspondence from Depth. 1266-1273 - (Withdrawn) MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction. 1274-1283
- Franziska Mueller, Dushyant Mehta, Oleksandr Sotnychenko, Srinath Sridhar, Dan Casas, Christian Theobalt:
Real-Time Hand Tracking Under Occlusion from an Egocentric RGB-D Sensor. 1284-1293
Manifold Learning, From Euclid to Riemann
- Mengran Gou, Octavia I. Camps, Mario Sznaier:
moM: Mean of Moments Feature for Person Re-identification. 1294-1303 - Panagiotis Stanitsas, Anoop Cherian, Vassilios Morellas, Nikolaos Papanikolopoulos:
Clustering Positive Definite Matrices by Learning Information Divergences. 1304-1312 - Fadi Dornaika, Youssof El Traboulsi:
Margin Based Semi-Supervised Elastic Embedding for Face Image Analysis. 1313-1320 - Anees Kazi, Sailesh Conjeti, Amin Katouzian, Nassir Navab:
Coupled Manifold Learning for Retrieval Across Modalities. 1321-1328 - Suhas Lohit, Pavan K. Turaga:
Learning Invariant Riemannian Geometric Representations Using Deep Nets. 1329-1338
Assistive Computer Vision and Robotics
- Girmaw Abebe, Andrea Cavallaro:
A Long Short-Term Memory Convolutional Neural Network for First-Person Vision Activity Recognition. 1339-1346 - Jonas Vlasselaer, Carlos Fernando Crispim Junior, François Brémond, Anton Dries:
BEHAVE - Behavioral Analysis of Visual Events for Assisted Living Scenarios. 1347-1353 - Toby Perrett, Dima Damen:
Recurrent Assistance: Cross-Dataset Training of LSTMs on Kitchen Tasks. 1354-1362 - Manolis Vasileiadis, Sotiris Malassiotis, Dimitrios Giakoumis, Christos-Savvas Bouganis, Dimitrios Tzovaras:
Robust Human Pose Tracking For Realistic Service Robot Applications. 1363-1372 - Shuangjun Liu, Sarah Ostadabbas:
A Vision-Based System for In-Bed Posture Tracking. 1373-1382 - Juergen Gall, Johann Sawatzky:
Adaptive Binarization for Weakly Supervised Affordance Segmentation. 1383-1391 - Girmaw Abebe, Andrea Cavallaro:
Inertial-Vision: Cross-Domain Knowledge Transfer for Wearable Sensors. 1392-1400 - Marco Del Coco, Marco Leo, Pierluigi Carcagnì, Paolo Spagnolo, Pier Luigi Mazzeo, Giuseppe Massimo Bernava, Flavia Marino, Giovanni Pioggia, Cosimo Distante:
A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders. 1401-1407 - Marco Marcon, Alberto Pispero, Nicola Pignatelli, Giovanni Lodi, Stefano Tubaro:
Postural Assessment in Dentistry Based on Multiple Markers Tracking. 1408-1415 - Kaichiro Nishi, Mitsuhiro Demura, Jun Miura, Shuji Oishi:
Use of Thermal Point Cloud for Thermal Comfort Measurement and Human Pose Estimation in Robotic Monitoring. 1416-1423 - Manuel Martínez, Alina Roitberg, Daniel Koester, Rainer Stiefelhagen, Boris Schauerte:
Using Technology Developed for Autonomous Cars to Help Navigate Blind People. 1424-1432 - Markus D. Solbach, John K. Tsotsos:
Vision-Based Fallen Person Detection for the Elderly. 1433-1442 - Daniel Koester, Rainer Stiefelhagen, Maximilian Awiszus:
Mind the Gap: Virtual Shorelines for Blind and Partially Sighted People. 1443-1451 - Bogdan Mocanu, Ruxandra Tapu, Titus B. Zaharia:
Seeing Without Sight - An Automatic Cognition System Dedicated to Blind and Visually Impaired People. 1452-1459 - Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals:
Estimating Position & Velocity in 3D Space from Monocular Video Sequences Using a Deep Neural Network. 1460-1469 - Manfred Diaz, Roger Girgis, Thomas Fevens, Jeremy R. Cooperstock:
To Veer or Not to Veer: Learning from Experts How to Stay Within the Crosswalk. 1470-1479 - Simona Caraiman, Anca Morar, Mateusz Owczarek, Adrian Burlacu, Dariusz Rzeszotarski, Nicolae Botezatu, Paul Herghelegiu, Florica Moldoveanu, Pawel Strumillo, Alin Moldoveanu:
Computer Vision for the Visually Impaired: the Sound of Vision System. 1480-1489 - Yizhe Chang, Mohammed Kutbi, Nikolaos Agadakos, Bo Sun, Philippos Mordohai:
A Shared Autonomy Approach for Wheelchair Navigation Based on Learned User Preferences. 1490-1499 - Liang Niu, Cheng Qian, John-Ross Rizzo, Todd E. Hudson, Zichen Li, Shane Enright, Eliot Sperling, Kyle Conti, Edward K. Wong, Yi Fang:
A Wearable Assistive Technology for the Visually Impaired with Door Knob Detection and Real-Time Feedback for Hand-to-Handle Manipulation. 1500-1508 - Chunbiao Zhu, Ge Li, Wenmin Wang, Ronggang Wang:
An Innovative Salient Object Detection Using Center-Dark Channel Prior. 1509-1515 - Alejandro Pérez-Yus, Jesus Bermudez-Cameo, José Jesús Guerrero, Gonzalo López-Nicolás:
Depth and Motion Cues with Phosphene Patterns for Prosthetic Vision. 1516-1525 - Patrick Ferdinand Christ, Sebastian Schlecht, Florian Ettlinger, Felix Grün, Christoph Heinle, Sunil Tatavarty, Seyed-Ahmad Ahmadi, Klaus Diepold, Bjoern H. Menze:
Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks. 1526-1535 - David Feng, Nick Barnes, Shaodi You:
DSD: Depth Structural Descriptor for Edge-Based Assistive Navigation. 1536-1544 - Andoni Larumbe, Mikel Ariz, Jose Javier Bengoechea, Ruben Segura, Rafael Cabeza, Arantxa Villanueva:
Improved Strategies for HPE Employing Learning-by-Synthesis Approaches. 1545-1554
Analysis and Modeling of Faces and Gestures
- Michael Jones, Hiroko Kobori:
Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity. 1555-1563 - Hakan Cevikalp, Hasan Serhan Yavuz:
Fast and Accurate Face Recognition with Image Sets. 1564-1572 - Hirotaka Kato, Takatsugu Hirayama, Yasutomo Kawanishi, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase:
Toward Describing Human Gaits by Onomatopoeias. 1573-1580 - Youngkyoon Jang, Hatice Gunes, Ioannis Patras:
SmileNet: Registration-Free Smiling Face Detection In The Wild. 1581-1589 - Qingyan Duan, Lei Zhang, Wangmeng Zuo:
From Face Recognition to Kinship Verification: An Adaptation Approach. 1590-1598 - Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni:
FacePoseNet: Making a Case for Landmark-Free Face Alignment. 1599-1608 - Iman Abbasnejad, Sridha Sridharan, Dung Nguyen Tien, Simon Denman, Clinton Fookes, Simon Lucey:
Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks. 1609-1618 - Yaojie Liu, Amin Jourabloo, William Ren, Xiaoming Liu:
Dense Face Alignment. 1619-1628 - Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller:
Understanding and Comparing Deep Neural Networks for Age and Gender Classification. 1629-1638 - Mahdi Hajibabaei, Anna Volokitin, Radu Timofte:
Early Adaptation of Deep Priors in Age Prediction from Face Images. 1639-1647 - Amarjot Singh, Devendra Patil, G. Meghana Reddy, S. N. Omkar:
Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network. 1648-1655 - Zuheng Ming, Joseph Chazalon, Muhammad Muzzamil Luqman, Muriel Visani, Jean-Christophe Burie:
Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification. 1656-1664 - Baris Gecer, Vassileios Balntas, Tae-Kyun Kim:
Learning Deep Convolutional Embeddings for Face Representation Using Joint Sample- and Set-Based Supervision. 1665-1672 - Yu Xia, Di Huang, Yunhong Wang:
Detecting Smiles of Young Children via Deep Transfer Learning. 1673-1681 - Abul Hasnat, Julien Bohné, Jonathan Milgram, Stéphane Gentric, Liming Chen:
DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills. 1682-1691
Detecting Symmetry in the Wild
- Christopher Funk, Seungkyu Lee, Martin R. Oswald, Stavros Tsogkas, Wei Shen, Andrea Cohen, Sven J. Dickinson, Yanxi Liu:
2017 ICCV Challenge: Detecting Symmetry in the Wild. 1692-1701 - Eckart Michaelsen, Michael Arens:
Hierarchical Grouping Using Gestalt Assessments. 1702-1709 - Eckart Michaelsen, Michael Arens:
Hierarchical Grouping - The Gestalt Assessments Method. 1710-1714 - Rajendra Nagar, Shanmuganathan Raman:
SymmMap: Estimation of the 2-D Reflection Symmetry Map and Its Applications. 1715-1724 - Mohamed Elawady, Christophe Ducottet, Olivier Alata, Cécile Barat, Philippe Colantoni:
Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms. 1725-1733 - Mohamed Elawady, Christophe Ducottet, Olivier Alata, Cécile Barat, Philippe Colantoni:
Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms: Algorithm and Results. 1734-1738 - Chang Liu, Wei Ke, Jianbin Jiao, Qixiang Ye:
RSRN: Rich Side-Output Residual Network for Medial Axis Detection. 1739-1743 - Xiaolong Liu, Pengyuan Lyu, Xiang Bai, Ming-Ming Cheng:
Fusing Image and Segmentation Cues for Skeleton Extraction in the Wild. 1744-1748 - Marcelo Cicconet, David G. C. Hildebrand, Hunter Elliott:
Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves. 1749-1758 - Marcelo Cicconet, David G. C. Hildebrand, Hunter Elliott:
Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves: Algorithm and Results. 1759-1763 - Rajendra Nagar, Shanmuganathan Raman:
SymmSLIC: Symmetry Aware Superpixel Segmentation. 1764-1773 - Fabrizio Guerrini, Alessandro Gnutti, Riccardo Leonardi:
InnerSpec: Technical Report. 1774-1778 - Aleksandrs Ecins, Cornelia Fermüller, Yiannis Aloimonos:
Detecting Reflectional Symmetries in 3D Data Through Symmetrical Fitting. 1779-1783
Robust Subspace Learning and Applications in Computer Vision
- Peng Zheng, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy:
Learning Robust Representations for Computer Vision. 1784-1791 - Sergej Dogadov, Andrés R. Masegosa, Shinichi Nakajima:
Variational Robust Subspace Clustering with Mean Update Algorithm. 1792-1799 - Chen Chen, Baochang Zhang, Alessio Del Bue, Vittorio Murino:
Manifold Constrained Low-Rank Decomposition. 1800-1808 - Carl Olsson, Marcus Carlsson, Erik Bylow:
A Non-convex Relaxation for Fixed-Rank Approximation. 1809-1817 - Mostafa Rahmani, George K. Atia:
Robust and Scalable Column/Row Sampling from Corrupted Big Data. 1818-1826 - Hayato Itoh, Atsushi Imiya, Tomoya Sakai:
Fast Approximate Karhunen-Loève Transform for Three-Way Array Data. 1827-1834 - Xin Li, Aritra Dutta, Peter Richtárik:
A Batch-Incremental Video Background Estimation Model Using Weighted Low-Rank Approximation of Matrices. 1835-1843 - Paul Rodríguez, Gustavo Chau:
Panning and Jitter Invariant Incremental Principal Component Pursuit for Video Background Modeling. 1844-1852 - Xin Li, Aritra Dutta:
Weighted Low Rank Approximation for Background Estimation Problems. 1853-1861 - Seth D. Pendergrass, Steven L. Brunton, J. Nathan Kutz, N. Benjamin Erichson, Travis Askham:
Dynamic Mode Decomposition for Background Modeling. 1862-1870 - Behnaz Rezaei, Sarah Ostadabbas:
Background Subtraction via Fast Robust Matrix Completion. 1871-1879 - N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz:
Compressed Singular Value Decomposition for Image and Video Processing. 1880-1888 - Salehe Erfanian Ebadi, Valia Guerra-Ones, Ebroul Izquierdo:
UHD Video Super-Resolution Using Low-Rank and Sparse Decomposition. 1889-1897
Recognizing One Million Celebrities in the Real World
- Yan Xu, Yu Cheng, Jian Zhao, Zhecan Wang, Lin Xiong, Jayashree Karlekar, Hajime Tamura, Tomoyuki Kagaya, Sugiri Pranata, Shengmei Shen, Jiashi Feng, Junliang Xing:
High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval. 1898-1906 - Chong Wang, Xipeng Lan, Xue Zhang:
How to Train Triplet Networks with 100K Identities? 1907-1915 - Evgeny Smirnov, Aleksandr Melnikov, Sergey Novoselov, Eugene Luckyanets, Galina Lavrentyeva:
Doppelganger Mining for Face Representation Learning. 1916-1923 - Yu Cheng, Jian Zhao, Zhecan Wang, Yan Xu, Jayashree Karlekar, Shengmei Shen, Jiashi Feng:
Know You at One Glance: A Compact Vector Representation for Low-Shot Learning. 1924-1932 - Yue Wu, Hongfu Liu, Yun Fu:
Low-Shot Face Recognition with Hybrid Classifiers. 1933-1939 - Junsuk Choe, Song Park, Kyungmin Kim, Joo-Hyun Park, Dongseob Kim, Hyunjung Shim:
Face Generation for Low-Shot Learning Using Generative Adversarial Networks. 1940-1948
Visual Object Tracking Challenge
- Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. 1949-1972 - Zheng Zhu, Guan Huang, Wei Zou, Dalong Du, Chang Huang:
UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking. 1973-1982 - Tobias Böttger, Patrick Follmann:
The Benefits of Evaluating Tracker Performance Using Pixel-Wise Segmentations. 1983-1991 - Zhiqun He, Yingruo Fan, Junfei Zhuang, Yuan Dong, Hongliang Bai:
Correlation Filters with Weighted Convolution Responses. 1992-2000 - Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang:
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. 2001-2009 - Tianyu Yang, Antoni B. Chan:
Recurrent Filter Learning for Visual Tracking. 2010-2019
Computer Vision Problems in Plant Phenotyping
- Hanno Scharr, Tony P. Pridmore, Sotirios A. Tsaftaris:
Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers. 2020-2021 - Sruti Das Choudhury, Saptarsi Goswami, Srinidhi Bashyam, Tala Awada, Ashok Samal:
Automated Stem Angle Determination for Temporal Plant Phenotyping Analysis. 2022-2029 - Yuhao Chen, Javier Ribera, Christopher Boomsma, Edward J. Delp:
Locating Crop Plant Centers from UAV-Based RGB Imagery. 2030-2037 - Hideaki Uchiyama, Shunsuke Sakurai, Masashi Mishima, Daisaku Arita, Takashi Okayasu, Atsushi Shimada, Rin-Ichiro Taniguchi:
An Easy-to-Setup 3D Phenotyping Platform for KOMATSUNA Dataset. 2038-2045 - Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Santanu Chaudhury:
Drought Stress Classification Using 3D Plant Models. 2046-2054 - Michael P. Pound, Jonathan A. Atkinson, Darren M. Wells, Tony P. Pridmore, Andrew P. French:
Deep Learning for Multi-task Plant Phenotyping. 2055-2063 - Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris:
ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network. 2064-2071 - Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Leveraging Multiple Datasets for Deep Leaf Counting. 2072-2079 - Shubhra Aich, Ian Stavness:
Leaf Counting with Deep Convolutional and Deconvolutional Networks. 2080-2089
Computer Vision for UAVs
- Helene Roggeman, Julien Marzat, Maxime Derome:
Detection, Estimation and Avoidance of Mobile Objects Using Stereo-Vision and Model Predictive Control. 2090-2099 - Dragos Costea, Alina Marcu, Marius Leordeanu, Emil Slusanschi:
Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization. 2100-2109 - Nils Tijtgat, Wiebe Van Ranst, Bruno Volckaert, Toon Goedemé, Filip De Turck:
Embedded Real-Time Object Detection for a UAV Warning System. 2110-2118 - K. Berker Logoglu, Hazal Lezki, Mehmet Kerim Yucel, Ahu Ozturk, Alper Kucukkomurler, Batuhan Karagöz, Aykut Erdem, Erkut Erdem:
Feature-Based Efficient Moving Object Detection for Low-Altitude Aerial Platforms. 2119-2128 - Wei Shi, Yong Wang, Shandong Wu:
Robust UAV-Based Tracking Using Hybrid Classifiers. 2129-2137 - Karim Amer, Mohamed Samy, Reda ElHakim, Mahmoud Shaker, Mohamed ElHelw:
Convolutional Neural Network-Based Deep Urban Signatures with Application to Drone Localization. 2138-2145 - Karthikeyan Natesan Ramamurthy, Chung-Ching Lin, Aleksandr Y. Aravkin, Sharath Pankanti, Raphael Viguier:
Distributed Bundle Adjustment. 2146-2154
Recovering 6D Object Pose
- Vladimir A. Knyaz, Oleg Vygolov, Vladimir V. Kniaz, Yury Vizilter, Vladimir Gorbatsevich, Thomas Luhmann, Niklas Conen:
Deep Learning of Convolutional Auto-Encoder for Image Matching and 3D Object Reconstruction in the Infrared Range. 2155-2164 - Wolfgang Förstner, Kourosh Khoshelham:
Efficient and Accurate Registration of Point Clouds with Plane to Plane Correspondences. 2165-2173 - Siddharth Mahendran, Haider Ali, René Vidal:
3D Pose Regression Using Convolutional Neural Networks. 2174-2182 - Marek Franaszek, Geraldine S. Cheok:
Propagation of Orientation Uncertainty of 3D Rigid Object to Its Points. 2183-2191 - Kiru Park, Johann Prankl, Markus Vincze:
Mutual Hypothesis Verification for 6D Pose Estimation of Natural Objects. 2192-2199 - Bertram Drost, Markus Ulrich, Paul Bergmann, Philipp Härtinger, Carsten Steger:
Introducing MVTec ITODD - A Dataset for 3D Object Recognition in Industry. 2200-2208 - Romain Brégier, Frederic Devernay, Laetitia Leyrit, James L. Crowley:
Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk. 2209-2218 - Qixin Cao, Haoruo Zhang:
Combined Holistic and Local Patches for Recovering 6D Object Pose. 2219-2227 - Juil Sock, S. Hamidreza Kasaei, Luís Seabra Lopes, Tae-Kyun Kim:
Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images. 2228-2235
Computer Vision for Fashion
- LongLong Yu, Edgar Simo-Serra, Francesc Moreno-Noguer, Antonio Rubio:
Multi-modal Embedding for Main Product Detection in Fashion. 2236-2242 - Yang Song, Yuan Li, Bo Wu, Chao-Yeh Chen, Xiao Zhang, Hartwig Adam:
Learning Unified Embedding for Apparel Recognition. 2243-2246 - Moeko Takagi, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
What Makes a Style: Experimental Analysis of Fashion Prediction. 2247-2253 - Yu Chen, Dongjoe Shin:
3D Garment Digitisation for Virtual Wardrobe Using a Commodity Depth Sensor. 2254-2260 - Naoto Inoue, Edgar Simo-Serra, Toshihiko Yamasaki, Hiroshi Ishikawa:
Multi-label Fashion Image Classification with Minimal Human Supervision. 2261-2267 - Charles Corbière, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion:
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction. 2268-2274 - Pongsate Tangseng, Kota Yamaguchi, Takayuki Okatani:
Recommending Outfits from Personal Closet. 2275-2279 - Luca Donati, Simone Cesano, Andrea Prati:
An Accurate System for Fashion Hand-Drawn Sketches Vectorization. 2280-2286 - Nikolay Jetchev, Urs Bergmann:
The Conditional Analogy GAN: Swapping Fashion Articles on People Images. 2287-2292 - Noa Garcia, George Vogiatzis:
Dress Like a Star: Retrieving Fashion Products from Videos. 2293-2299 - John S. Zelek, Nolan Lunscher:
Point Cloud Completion of Foot Shape from a Single Depth Map for Fit Matching Using Deep Learning View Synthesis. 2300-2305 - Suren Kumar, Rui Zheng:
Hierarchical Category Detector for Clothing Recognition from Visual Data. 2306-2312
Joint COCO and Places Recognition Challenge: Egocentric Perception, Interaction and Computing
- Yifei Huang, Minjie Cai, Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato:
Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos. 2313-2321 - Sophia Bano, Jianguo Zhang, Stephen J. McKenna:
Finding Time Together: Detection and Classification of Focused Interaction in Egocentric Video. 2322-2330 - Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
SaltiNet: Scan-Path Prediction on 360 Degree Images Using Saliency Volumes. 2331-2338 - Swathikiran Sudhakaran, Oswald Lanz:
Convolutional Long Short-Term Memory Networks for Recognizing First Person Interactions. 2339-2346 - Alejandro Cartas, Mariella Dimiccoli, Petia Radeva:
Batch-Based Activity Recognition from Egocentric Photo-Streams. 2347-2354 - Jianbo Shi, Gedas Bertasius:
Using Cross-Model EgoSupervision to Learn Cooperative Basketball Intention. 2355-2363 - Xiaohan Wang, Fernanda Monteiro Eliott, James Ainooson, Joshua H. Palmer, Maithilee Kunda:
An Object is Worth Six Thousand Pictures: The Egocentric, Manual, Multi-image (EMMI) Dataset. 2364-2372 - Antonino Furnari, Sebastiano Battiato, Giovanni Maria Farinella:
How Shall We Evaluate Egocentric Action Recognition? 2373-2382 - Maxime Portaz, Matthias Kohl, Georges Quénot, Jean-Pierre Chevallet:
Fully Convolutional Network and Region Proposal for Instance Identification with Egocentric Vision. 2383-2391 - Byeonghoon Park, Yongchan Keh, Donghi Lee, Yongkwan Kim, Sungsoon Kim, Kisuk Sung, Jungkee Lee:
Outdoor Operation of Structured Light in Mobile Phone. 2392-2398 - Leonardo Galteri, Dena Bazazian, Lorenzo Seidenari, Marco Bertini, Andrew D. Bagdanov, Anguelos Nicolaou, Dimosthenis Karatzas, Alberto Del Bimbo:
Reading Text in the Wild from Compressed Images. 2399-2407
Multiview Relationships in 3D Data
- Soumyadip Maity, Arindam Saha, Brojeshwar Bhowmick:
Edge SLAM: Edge Points Based Monocular Visual SLAM. 2408-2417 - Chanoh Park, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Probabilistic Surfel Fusion for Dense LiDAR Mapping. 2418-2426 - Levente Hajder, Ivan Eichhardt:
Computer Vision Meets Geometric Modeling: Multi-view Reconstruction of Surface Points and Normals Using Affine Correspondences. 2427-2435 - Benjamin Busam, Tolga Birdal, Nassir Navab:
Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions. 2436-2445 - Panagiotis Papadakis:
A Use-Case Study on Multi-view Hypothesis Fusion for 3D Object Classification. 2446-2452 - Peter Corcoran, Hossein Javidnia:
Accurate Depth Map Estimation from Small Motions. 2453-2461 - Matea Donlic, Tomislav Petkovic, Tomislav Pribanic:
On Tablet 3D Structured Light Reconstruction and Registration. 2462-2471 - Nora Horanyi, Zoltan Kato:
Multiview Absolute Pose Using 3D - 2D Perspective Line Correspondences and Vertical Direction. 2472-2480 - Haitian Zheng, Minghao Guo, Haoqian Wang, Yebin Liu, Lu Fang:
Combining Exemplar-Based Approach and learning-Based Approach for Light Field Super-Resolution Using a Hybrid Imaging System. 2481-2486 - Gene Cheung, Luyu Yang, Zhigang Tan, Zhe Huang:
A Content-Aware Metric for Stitched Panoramic Image Quality Assessment. 2487-2494 - Lucas Malleus, Thomas Fisichella, Diane Lingrand, Frédéric Precioso, N. Gros, Y. Noutary, L. Robert, Lirone Samoun:
KPPF: Keypoint-Based Point-Pair-Feature for Scalable Automatic Global Registration of Large RGB-D Scans. 2495-2502
300 3D Facial-Videos In-the-Wild Challenge
- Stefanos Zafeiriou, Grigorios G. Chrysos, Anastasios Roussos, Evangelos Ververas, Jiankang Deng, George Trigeorgis:
The 3D Menpo Facial Landmark Tracking Challenge. 2503-2511 - Daniel E. Crispell, Maxim Bazik:
Pix2Face: Direct 3D Face Model Estimation. 2512-2518 - Amir Zadeh, Yao Chong Lim, Tadas Baltrusaitis, Louis-Philippe Morency:
Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection. 2519-2528 - Pengfei Xiong, Guoqing Li, Yuhang Sun:
Combining Local and Global Features for 3D Face Tracking. 2529-2536
Cross-Domain Human Identification
- Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro:
Learning to Identify While Failing to Discriminate. 2537-2544 - Ankan Bansal, Carlos Domingo Castillo, Rajeev Ranjan, Rama Chellappa:
The Do's and Don'ts for CNN-Based Face Verification. 2545-2554 - Ha A. Le, Ioannis A. Kakadiaris:
UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation. 2555-2563 - Qiang Qiu, Jordan Hashemi, Guillermo Sapiro:
Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application. 2564-2572 - Min Cao, Chen Chen, Xiyuan Hu, Silong Peng:
From Groups to Co-Traveler Sets: Pair Matching Based Person Re-identification Framework. 2573-2582 - Maryam Babaee, Gerhard Rigoll:
View-Invariant Gait Representation Using Joint Bayesian Regularized Non-negative Matrix Factorization. 2583-2589 - Yanbei Chen, Xiatian Zhu, Shaogang Gong:
Person Re-identification by Deep Learning Multi-scale Representations. 2590-2600 - Yeong-Jun Cho, Jae-Han Park, Su-A. Kim, Kyuewang Lee, Kuk-Jin Yoon:
Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks. 2601-2607
Transferring and Adapting Source Knowledge in Computer Vision
- Nikolaos Sarafianos, Theodore Giannakopoulos, Christophoros Nikou, Ioannis A. Kakadiaris:
Curriculum Learning for Multi-task Classification of Visual Attributes. 2608-2615 - Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang:
Zero-Shot Learning Posed as a Missing Data Problem. 2616-2622 - Tatsuya Harada, Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku:
Deep Modality Invariant Adversarial Network for Shared Representation Learning. 2623-2629 - Gabriela Csurka, Fabien Baradel, Boris Chidlovskii, Stéphane Clinchant:
Discrepancy-Based Networks for Unsupervised Domain Adaptation: A Comparative Study. 2630-2636 - Nikolaos Sarafianos, Michalis Vrigkas, Ioannis A. Kakadiaris:
Adaptive SVM+: Learning with Privileged Information for Domain Adaptation. 2637-2644 - Novi Patricia, Fabio Maria Carlucci, Barbara Caputo:
Deep Depth Domain Adaptation: A Case Study. 2645-2650 - Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool:
Deep Domain Adaptation by Geodesic Distance Minimization. 2651-2657 - Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou, Ioannis A. Kakadiaris:
Inferring Human Activities Using Robust Privileged Probabilistic Learning. 2658-2665 - Frédéric Jurie, Maxime Bucher, Stéphane Herbin:
Generating Visual Representations for Zero-Shot Classification. 2666-2673 - Mehmet Aygun, Yusuf Aytar, Hazim Kemal Ekenel:
Exploiting Convolution Filter Patterns for Transfer Learning. 2674-2680
Mutual Benefits of Cognitive and Computer Vision
- Krista A. Ehinger, Erich W. Graf, Wendy J. Adams, James H. Elder:
Local Depth Edge Detection in Humans and Deep Neural Networks. 2681-2689 - Karthikeyan Vaiapury, Balamuralidhar Purushothaman, Arpan Pal, Swapna Agarwal:
Can We Speed up 3D Scanning? A Cognitive and Geometric Analysis. 2690-2696 - Ivet Rafegas, María Vanrell:
Color Representation in CNNs: Parallelisms with Biological Vision. 2697-2705 - Drew Linsley, Sven Eberhardt, Tarun Sharma, Pankaj Gupta, Thomas Serre:
What are the Visual Features Underlying Human Versus Machine Vision? 2706-2714 - Mahdi Biparva, John K. Tsotsos:
STNet: Selective Tuning of Convolutional Networks for Object Localization. 2715-2723 - Amirhossein Jamalian, Julia Bergelt, Helge Ulo Dinkelbach:
Spatial Attention Improves Object Localization: A Biologically Plausible Neuro-Computational Model for Use in Virtual Reality. 2724-2729 - Sumit Shekhar, Dhruv Singal, Harvineet Singh, Manav Kedia, Akhil Shetty:
Show and Recall: Learning What Makes Videos Memorable. 2730-2739 - Hosnieh Sattar, Andreas Bulling, Mario Fritz:
Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling. 2740-2748 - Riku Shigematsu, David Feng, Shaodi You, Nick Barnes:
Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features. 2749-2757 - Xinghui Dong, Ying Gao, Junyu Dong, Mike J. Chantler:
The Importance of Phase to Texture Similarity. 2758-2766 - Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluation of Deep Learning on an Abstract Image Classification Dataset. 2767-2772 - Chen Yu, Sven Bambach, Zehua Zhang, David J. Crandall:
Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models. 2773-2782 - Viraj Mavani, Shanmuganathan Raman, Krishna P. Miyapuram:
Facial Expression Recognition Using Visual Saliency and Deep Learning. 2783-2788 - András Lörincz, Áron Fóthi, Bryar O. Rahman, Viktor Varga:
Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition. 2789-2797 - Samuel Fuller Dodge, Lina J. Karam:
Can the Early Human Visual System Compete with Deep Neural Networks? 2798-2804 - Vandit Gajjar, Yash Khandhediya, Ayesha Gurnani:
Human Detection and Tracking for Video Surveillance: A Cognitive Science Approach. 2805-2809
Visual Wildlife Monitoring
- Gaddi Blumrosen, David Hawellek, Bijan Pesaran:
Towards Automated Recognition of Facial Expressions in Animal Models. 2810-2819 - Clemens-Alexander Brust, Tilo Burghardt, Milou Groenenberg, Christoph Käding, Hjalmar S. Kühl, Marie L. Manguette, Joachim Denzler:
Towards Automated Visual Monitoring of Individual Gorillas in the Wild. 2820-2830 - Hendrik J. Weideman, Zachary M. Jablons, Jason Holmberg, Kiirsten Flynn, John Calambokidis, Reny B. Tyson, Jason B. Allen, Randall S. Wells, Krista Hupman, Kim Urian, Charles V. Stewart:
Integral Curvature Representation and Matching Algorithms for Identification of Dolphins and Whales. 2831-2839 - Benjamin Risse, Michael Mangan, Barbara Webb, Luca Del Pero:
Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera. 2840-2849 - William Andrew, Colin Greatwood, Tilo Burghardt:
Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning. 2850-2859 - Chunbiao Zhu, Thomas H. Li, Ge Li:
Towards Automatic Wild Animal Detection in Low Quality Camera-Trap Images Using Two-Channeled Perceiving Residual Pyramid Networks. 2860-2864 - Christopher Rasmussen, Jiayi Zhao, Danielle Ferraro, Arthur Trembanis:
Deep Census: AUV-Based Scallop Population Monitoring. 2865-2873 - Iñigo Alonso, Ana B. Cambra, Adolfo Muñoz, Tali Treibitz, Ana C. Murillo:
Coral-Segmentation: Training Dense Labeling Models with Sparse Ground Truth. 2874-2882 - Ankush Mittal, Isha Dua, Pushkar Shukla, Balasubramanian Raman:
A Computer Vision Framework for Detecting and Preventing Human-Elephant Collisions. 2883-2890 - Ingunn Nilssen, Torben Möller, Tim W. Nattkemper:
Active Learning for the Classification of Species in Underwater Images from a Fixed Observatory. 2891-2897
E-Heritage
- Imanol Schlag, Ognjen Arandjelovic:
Ancient Roman Coin Recognition in the Wild Using Deep Learning Based Recognition of Artistically Depicted Face Profiles. 2898-2906 - Nanne van Noord, Eric O. Postma:
A Learned Representation of Artist-Specific Colourisation. 2907-2915 - Rui Huang, Wei Feng, Zezheng Wang, Mingyuan Fan, Liang Wan, Jizhou Sun:
Learning to Detect Fine-Grained Change Under Variant Imaging Conditions. 2916-2924 - Ivan Sipiran:
Analysis of Partial Axial Symmetry on 3D Surfaces and Its Application in the Restoration of Cultural Heritage Objects. 2925-2933 - Hanan ElNaghy, Leo Dorst:
Geometry Based Faceting of 3D Digitized Archaeological Fragments. 2934-2942 - Sahil Chelaramani, Vamsidhar Muthireddy, C. V. Jawahar:
An Interactive Tour Guide for a Heritage Site. 2943-2952
Color and Photometry in Computer Vision
- Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue, Fabio Galasso:
LIT: A System and Benchmark for Light Understanding. 2953-2960 - Songyou Peng, Bjoern Haefner, Yvain Quéau, Daniel Cremers:
Depth Super-Resolution Meets Uncalibrated Photometric Stereo. 2961-2968 - Ye Yu, Dizhong Zhu, William A. P. Smith:
Shape-from-Polarisation: A Nonlinear Least Squares Approach. 2969-2976 - Menghan Xia, Jian Yao, Renping Xie, Mi Zhang, Jinsheng Xiao:
Color Consistency Correction Based on Remapping Optimization for Image Stitching. 2977-2984 - Tarek Stiebel, Dorit Merhof:
The Importance of Smoothness Constraints on Spectral Object Reflectances when Modeling Metamer Mismatching. 2985-2992 - Sainandan Ramakrishnan, Shubham Pachori, Aalok Gangopadhyay, Shanmuganathan Raman:
Deep Generative Filter for Motion Deblurring. 2993-3000 - Kaori Tanji, Atsushi Imiya, Hayato Itoh, Hiroaki Kuze, Naohiro Manago:
Linear Data Compression of Hyperspectral Images. 3001-3007 - Ge Li, Chunbiao Zhu:
A Three-Pathway Psychobiological Framework of Salient Object Detection Using Stereoscopic Technology. 3008-3014 - Zhenqiang Ying, Ge Li, Yurui Ren, Ronggang Wang, Wenmin Wang:
A New Low-Light Image Enhancement Algorithm Using Camera Response Model. 3015-3022 - Qi-Chong Tian, Laurent D. Cohen:
Global and Local Contrast Adaptive Enhancement for Non-uniform Illumination Color Images. 3023-3030 - Shinnosuke Oya, Takahiro Okabe:
Image-Based Relighting with 5-D Incident Light Fields. 3031-3038 - Aliaa T. Kamal, Moumen T. El-Melegy:
Color Image Processing Using Reduced Biquaternions with Application to Face Recognition in a PCA Framework. 3039-3046
Action, Gesture, and Emotion Recognition Competitions: Large Scale Multimodal Gesture Recognition and Real Versus Fake Expressed Emotions
- Qiguang Miao, Yunan Li, Wanli Ouyang, Zhenxin Ma, Xin Xu, Weikang Shi, Xiaochun Cao:
Multimodal Gesture Recognition Based on the ResC3D Network. 3047-3055 - Zhipeng Liu, Xiujuan Chai, Zhuang Liu, Xilin Chen:
Continuous Gesture Recognition with Hand-Oriented Spatiotemporal Feature. 3056-3064 - Yong-Guk Kim, Xuan-Phung Huynh:
Discrimination Between Genuine Versus Fake Emotion Using Long-Short Term Memory with Parametric Bias and Facial Landmarks. 3065-3072 - Frerk Saxen, Philipp Werner, Ayoub Al-Hamadi:
Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors. 3073-3078 - Necati Cihan Camgöz, Simon Hadfield, Richard Bowden:
Particle Filter Based Probabilistic Forced Alignment for Continuous Gesture Recognition. 3079-3085 - Lionel Pigou, Mieke Van Herreweghe, Joni Dambre:
Gesture and Sign Language Recognition with Temporal Residual Networks. 3086-3093 - Savas Özkan, Gozde Bozdagi Akar:
Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake Expression Prediction. 3094-3100 - Yagmur Güçlütürk, Umut Güçlü, Marc Pérez, Hugo Jair Escalante, Xavier Baró, Carlos Andújar, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier:
Visualizing Apparent Personality Analysis with Deep Residual Networks. 3101-3109 - An Tran, Loong-Fah Cheong:
Two-Stream Flow-Guided Convolutional Attention Networks for Action Recognition. 3110-3119 - Liang Zhang, Guangming Zhu, Peiyi Shen, Juan Song:
Learning Spatiotemporal Features Using 3DCNN and Convolutional LSTM for Gesture Recognition. 3120-3128 - Huogen Wang, Pichao Wang, Zhanjie Song, Wanqing Li:
Large-Scale Multimodal Gesture Recognition Using Heterogeneous Networks. 3129-3137 - Huogen Wang, Pichao Wang, Zhanjie Song, Wanqing Li:
Large-Scale Multimodal Gesture Segmentation and Recognition Based on Convolutional Neural Networks. 3138-3146 - Liandong Li, Tadas Baltrusaitis, Bo Sun, Louis-Philippe Morency:
Combining Sequential Geometry and Texture Features for Distinguishing Genuine and Deceptive Emotions. 3147-3153 - Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh:
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition. 3154-3160 - Oyebade K. Oyedotun, Girum G. Demisse, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations. 3161-3168 - Albert Clapés, Tinne Tuytelaars, Sergio Escalera:
Darwintrees for Action Recognition. 3169-3178 - Maryam Asadi-Aghbolaghi, Hugo Bertiche, Vicent Roig, Shohreh Kasaei, Sergio Escalera:
Action Recognition from RGB-D Data: Comparison and Fusion of Spatio-Temporal Handcrafted Features and Deep Strategies. 3179-3188 - Jun Wan, Sergio Escalera, Gholamreza Anbarjafari, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, Juri Allik, Jelena Gorbova, Chi Lin, Yiliang Xie:
Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges. 3189-3197
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