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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