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ORCIDCVPR 2017: Honolulu, HI, USA - Workshops
- 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2017, Honolulu, HI, USA, July 21-26, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-0733-6
Vision Meets Cognition: Functionality, Physics, Intentionality and Causality
- Andrea Zunino, Jacopo Cavazza, Atesh Koul
, Andrea Cavallo, Cristina Becchio, Vittorio Murino:
What Will I Do Next? The Intention from Motion Experiment. 1-8 - Seng-Beng Ho:
The Role of Synchronic Causal Conditions in Visual Knowledge Learning. 9-16 - Petrissa Zell, Bastian Wandt, Bodo Rosenhahn:
Joint 3D Human Motion Capture and Physical Analysis from Monocular Videos. 17-26 - Tao Zhou, Muhao Chen, Jie Yu, Demetri Terzopoulos:
Attention-Based Natural Language Person Retrieval. 27-34 - Masaki Nakada, Han Wang, Demetri Terzopoulos:
AcFR: Active Face Recognition Using Convolutional Neural Networks. 35-40 - Tomer Weiss, Masaki Nakada, Demetri Terzopoulos:
Automated Layout Synthesis and Visualization from Images of Interior or Exterior Spaces. 41-47 - Amy Sue Fire, Song-Chun Zhu:
Inferring Hidden Statuses and Actions in Video by Causal Reasoning. 48-56
Computer Vision in Sports
- Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris:
Automatic Curation of Golf Highlights Using Multimodal Excitement Features. 57-65 - Katy Blanc, Diane Lingrand, Frédéric Precioso:
Singlets: Multi-resolution Motion Singularities for Soccer Video Abstraction. 66-75 - Paritosh Parmar, Brendan Tran Morris:
Learning to Score Olympic Events. 76-84 - Mehrnaz Fani, Helmut Neher, David A. Clausi, Alexander Wong, John S. Zelek:
Hockey Action Recognition via Integrated Stacked Hourglass Network. 85-93 - Aiden Nibali, Zhen He, Stuart Morgan, Daniel Greenwood:
Extraction and Classification of Diving Clips from Continuous Video Footage. 94-104 - Soonchan Park, Ju Yong Chang, Hyuk Jeong, Jae-Ho Lee, Jiyoung Park:
Accurate and Efficient 3D Human Pose Estimation Algorithm Using Single Depth Images for Pose Analysis in Golf. 105-113 - Jihye Hwang, Sungheon Park, Nojun Kwak:
Athlete Pose Estimation by a Global-Local Network. 114-121 - Brandon Victor, Zhen He, Stuart Morgan, Dino Miniutti:
Continuous Video to Simple Signals for Swimming Stroke Detection with Convolutional Neural Networks. 122-131 - Kokum Weeratunga, Anuja T. Dharmaratne, Khoo Boon How:
Application of Computer Vision and Vector Space Model for Tactical Movement Classification in Badminton. 132-138 - Amir M. Rahimi, Soheil Kolouri, Rajan Bhattacharyya:
Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis. 139-146 - Moumita Roy Tora, Jianhui Chen, James J. Little:
Classification of Puck Possession Events in Ice Hockey. 147-154 - Takamasa Tsunoda, Yasuhiro Komori, Masakazu Matsugu, Tatsuya Harada:
Football Action Recognition Using Hierarchical LSTM. 155-163 - Shogo Miyata, Hideo Saito, Kosuke Takahashi, Dan Mikami, Mariko Isogawa, Hideaki Kimata:
Ball 3D Trajectory Reconstruction without Preliminary Temporal and Geometrical Camera Calibration. 164-169 - Silvia Vinyes Mora, William J. Knottenbelt:
Deep Learning for Domain-Specific Action Recognition in Tennis. 170-178 - Takahiro Itazuri, Tsukasa Fukusato, Shugo Yamaguchi, Shigeo Morishima:
Court-Based Volleyball Video Summarization Focusing on Rally Scene. 179-186 - Rikke Gade, Ryan Godsk Larsen, Thomas B. Moeslund:
Measuring Energy Expenditure in Sports by Thermal Video Analysis. 187-194
Perception Beyond the Visible Spectrum
- Sungho Kim, Woo-Jin Song, So-Hyun Kim:
Infrared Variation Optimized Deep Convolutional Neural Network for Robust Automatic Ground Target Recognition. 195-202 - Heng Fan, Xue Mei, Danil V. Prokhorov, Haibin Ling:
RGB-D Scene Labeling with Multimodal Recurrent Neural Networks. 203-211 - Patricia L. Suarez, Angel Domingo Sappa, Boris Xavier Vintimilla:
Infrared Image Colorization Based on a Triplet DCGAN Architecture. 212-217 - Qun Li, Edgar A. Bernal:
An Algorithm for Parallel Reconstruction of Jointly Sparse Tensors with Applications to Hyperspectral Imaging. 218-225 - Christopher Reale, Hyungtae Lee, Heesung Kwon:
Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric. 226-232 - Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. 233-242 - Daniel König, Michael Adam, Christian Jarvers, Georg Layher, Heiko Neumann, Michael Teutsch:
Fully Convolutional Region Proposal Networks for Multispectral Person Detection. 243-250 - Domingo Mery, Aggelos K. Katsaggelos:
A Logarithmic X-Ray Imaging Model for Baggage Inspection: Simulation and Object Detection. 251-259 - Jing Ke, Yi Guo, Arcot Sowmya:
A Fast Approximate Spectral Unmixing Algorithm Based on Segmentation. 260-266 - Maryam Rahnemoonfar, Masoud Yari, Abdullah Rahman, Richard Kline:
The First Automatic Method for Mapping the Pothole in Seagrass. 267-274 - Akshay Agarwal, Daksha Yadav, Naman Kohli, Richa Singh, Mayank Vatsa, Afzel Noore:
Face Presentation Attack with Latex Masks in Multispectral Videos. 275-283 - Indrani Bhattacharya, Noam Eshed, Richard J. Radke:
Privacy-Preserving Understanding of Human Body Orientation for Smart Meetings. 284-292 - Timothy Doster, Colin C. Olson, Erin Fleet, Michael Yetzbacher:
Selecting an Optimized COTS Filter Set for Multispectral Plenoptic Sensing. 293-301 - Colin C. Olson, Timothy Doster:
A Novel Detection Paradigm and Its Comparison to Statistical and Kernel-Based Anomaly Detection Algorithms for Hyperspectral Imagery. 302-308 - Zhuolin Jiang, Viktor Rozgic, Sancar Adali:
Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks. 309-317
Embedded Vision
- Chen Zhou, Jiaolong Yang, Chunshui Zhao, Gang Hua:
Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots. 318-327 - Manu Mathew, Kumar Desappan, Pramod Kumar Swami, Soyeb Nagori:
Sparse, Quantized, Full Frame CNN for Low Power Embedded Devices. 328-336 - Suren Jayasuriya, Orazio Gallo, Jinwei Gu, Timo Aila, Jan Kautz:
Reconstructing Intensity Images from Binary Spatial Gradient Cameras. 337-343 - Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta:
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. 344-352 - Gbolahan S. Adesoye, Oliver Wang:
Joint Mobile-Cloud Video Stabilization. 353-360 - Mathias Franzius, Mark Dunn, Nils Einecke, Roman Dirnberger:
Embedded Robust Visual Obstacle Detection on Autonomous Lawn Mowers. 361-369 - Ewa Piatkowska, Jürgen Kogler, Ahmed Nabil Belbachir, Margrit Gelautz:
Improved Cooperative Stereo Matching for Dynamic Vision Sensors with Ground Truth Evaluation. 370-377 - Robert Krutsch, Rolf Schlagenhaft:
Diagnostic Mechanism and Robustness of Safety Relevant Automotive Deep Convolutional Networks. 378-385 - Archie Gupta, Shreyash Mohatta, Jitender Maurya, Ramakrishna Perla, Ramya Hebbalaguppe, Ehtesham Hassan:
Hand Gesture Based Region Marking for Tele-Support Using Wearables. 386-392 - Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Even More Confident Predictions with Deep Machine-Learning. 393-401 - Nirmala Ramakrishnan, Alok Prakash, Thambipillai Srikanthan:
Low-Complexity Global Motion Estimation for Aerial Vehicles. 402-410 - Subarna Tripathi, Gokce Dane, Byeongkeun Kang, Vasudev Bhaskaran, Truong Q. Nguyen:
LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems. 411-420 - Cevahir Cigla, Roland Brockers, Larry H. Matthies:
Image-Based Visual Perception and Representation for Collision Avoidance. 421-429 - Jia Guo, Miodrag Potkonjak:
Pruning ConvNets Online for Efficient Specialist Models. 430-437 - Bhargava Reddy, Ye-Hoon Kim, Sojung Yun, Chanwon Seo, Junik Jang:
Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks. 438-445 - Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer:
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. 446-454 - Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu:
Training Sparse Neural Networks. 455-462 - Rytis Verbickas, Robert Laganière, Daniel Laroche, Changyun Zhu, Xiaoyin Xu, Ali Ors:
SqueezeMap: Fast Pedestrian Detection on a Low-Power Automotive Processor Using Efficient Convolutional Neural Networks. 463-471
Deep Learning for Robotic Vision
- Jangwon Lee, Michael S. Ryoo:
Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression. 472-473 - Etienne Perot, Maximilian Jaritz, Marin Toromanoff, Raoul de Charette:
End-to-End Driving in a Realistic Racing Game with Deep Reinforcement Learning. 474-475 - Rob Dupre, Georgios Tzimiropoulos, Vasileios Argyriou:
Automated Risk Assessment for Scene Understanding and Domestic Robots Using RGB-D Data and 2.5D CNNs at a Patch Level. 476-477 - Bert De Brabandere, Davy Neven, Luc Van Gool:
Semantic Instance Segmentation for Autonomous Driving. 478-480 - Ji Woong Kim, Sujeong You, Sang Hoon Ji, Hong Seok Kim:
Real-Time Hand Grasp Recognition Using Weakly Supervised Two-Stage Convolutional Neural Networks for Understanding Manipulation Actions. 481-483 - Wallace E. Lawson, Esube Bekele, Keith Sullivan:
Finding Anomalies with Generative Adversarial Networks for a Patrolbot. 484-485 - Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine:
Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation. 486-487 - Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell:
Curiosity-Driven Exploration by Self-Supervised Prediction. 488-489 - Kapil D. Katyal, I-Jeng Wang, Philippe Burlina:
Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. 490-491 - Yiwei Wang, Xin Ye, Yezhou Yang, Wenlong Zhang:
Hand Movement Prediction Based Collision-Free Human-Robot Interaction. 492-493 - Siddharth Mahendran, Haider Ali, René Vidal:
3D Pose Regression Using Convolutional Neural Networks. 494-495 - Fangyi Zhang, Jürgen Leitner, Michael Milford, Peter I. Corke:
Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination. 496-497 - Feras Dayoub, Niko Sünderhauf, Peter I. Corke:
Episode-Based Active Learning with Bayesian Neural Networks. 498-500 - Wim Abbeloos, Sergio Caccamo, Esra Ataer Cansizoglu, Yuichi Taguchi, Chen Feng, Teng-Yok Lee:
Detecting and Grouping Identical Objects for Region Proposal and Classification. 501-502
Biometrics
- Tianyue Zheng, Weihong Deng, Jiani Hu:
Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition. 503-511 - Qing Tian, Tal Arbel, James J. Clark:
Deep LDA-Pruned Nets for Efficient Facial Gender Classification. 512-521 - Xiaofeng Liu, B. V. K. Vijaya Kumar, Jane You, Ping Jia:
Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition. 522-531 - Shiqi Yu, Haifeng Chen, Edel B. García Reyes, Norman Poh:
GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks. 532-539 - Gee-Sern Jison Hsu, Yi-Tseng Cheng, Choon-Ching Ng, Moi Hoon Yap:
Component Biologically Inspired Features with Moving Segmentation for Age Estimation. 540-547 - Debayan Deb, Lacey Best-Rowden, Anil K. Jain:
Face Recognition Performance under Aging. 548-556 - P. Jonathon Phillips, Amy N. Yates, J. Ross Beveridge, Geof H. Givens:
Predicting Face Recognition Performance in Unconstrained Environments. 557-565 - Neeti Narayan, Nishant Sankaran, Devansh Arpit, Karthik Dantu, Srirangaraj Setlur, Venu Govindaraju:
Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association. 566-572 - Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult:
Toward Open-Set Face Recognition. 573-582 - Claudio Ferrari, Giuseppe Lisanti, Stefano Berretti, Alberto Del Bimbo:
Investigating Nuisance Factors in Face Recognition with DCNN Representation. 583-591 - Cameron Whitelam, Emma Taborsky, Austin Blanton, Brianna Maze, Jocelyn C. Adams, Tim Miller, Nathan D. Kalka, Anil K. Jain, James A. Duncan, Kristen Allen, Jordan Cheney, Patrick Grother:
IARPA Janus Benchmark-B Face Dataset. 592-600 - Syed Afaq Ali Shah, Uzair Nadeem, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Efficient Image Set Classification Using Linear Regression Based Image Reconstruction. 601-610 - Bong-Nam Kang, Yonghyun Kim, Daijin Kim:
Deep Convolutional Neural Network Using Triplets of Faces, Deep Ensemble, and Score-Level Fusion for Face Recognition. 611-618 - Tarang Chugh, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Transfer Learning Based Evolutionary Algorithm for Composite Face Sketch Recognition. 619-627 - Haiying Guan, Paul Lee, Andrew Dienstfrey, Mary Theofanos, Curtis Lamp, Brian C. Stanton, Matthew T. Schwarz:
Analysis, Comparison, and Assessment of Latent Fingerprint Image Preprocessing. 628-635 - Elias N. Zois, Ilias Theodorakopoulos, Dimitrios Tsourounis, George Economou:
Parsimonious Coding and Verification of Offline Handwritten Signatures. 636-645 - Kiran B. Raja, Egidijus Auksorius, Ramachandra Raghavendra, A. Claude Boccara, Christoph Busch:
Robust Verification With Subsurface Fingerprint Recognition Using Full Field Optical Coherence Tomography. 646-654 - Fernando Alonso-Fernandez, Reuben A. Farrugia, Josef Bigün:
Iris Super-Resolution Using Iterative Neighbor Embedding. 655-663 - Federico Pala, Bir Bhanu:
Iris Liveness Detection by Relative Distance Comparisons. 664-671 - Ramachandra Raghavendra, Kiran B. Raja, Sushma Venkatesh, Christoph Busch:
Face Presentation Attack Detection by Exploring Spectral Signatures. 672-679
Diff-CVML: Differential Geometry in Computer Vision and Machine Learning
- Zhe Su, Eric Klassen, Martin Bauer:
The Square Root Velocity Framework for Curves in a Homogeneous Space. 680-689 - Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization. 690-698 - Ligang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh:
Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data. 699-708 - Qiao Wang, Chaitanya Potaraju, Pavan K. Turaga:
Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis. 709-716 - Valentina Staneva, Laurent Younes:
Learning Shape Trends: Parameter Estimation in Diffusions on Shape Manifolds. 717-725 - Susovan Pal, Roger P. Woods, Suchit Panjiyar, Elizabeth R. Sowell, Katherine L. Narr, Shantanu H. Joshi:
A Riemannian Framework for Linear and Quadratic Discriminant Analysis on the Tangent Space of Shapes. 726-734 - Gregory S. Chirikjian:
Signal Classification in Quotient Spaces via Globally Optimal Variational Calculus. 735-743 - Breton L. Minnehan, Andreas E. Savakis:
Manifold Guided Label Transfer for Deep Domain Adaptation. 744-752
Computer Vision for Microscopy Image Analysis
- Ali Selman Aydin, Abhinandan Dubey, Daniel Dovrat, Amir Aharoni, Roy Shilkrot:
CNN Based Yeast Cell Segmentation in Multi-modal Fluorescent Microscopy Data. 753-759 - Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classification and Retrieval of Digital Pathology Scans: A New Dataset. 760-768 - Vibha Gupta, Arnav Bhavsar:
Breast Cancer Histopathological Image Classification: Is Magnification Important? 769-776 - Alican Bozkurt, Trevor Gale, Kivanç Köse, Christi Alessi-Fox, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy:
Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks. 777-785 - Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande:
Crowdsourcing for Chromosome Segmentation and Deep Classification. 786-793 - Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra:
Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case. 794-800 - Muhammad Imran Razzak, Saeeda Naz:
Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning. 801-807 - Jane Hung, Anne E. Carpenter:
Applying Faster R-CNN for Object Detection on Malaria Images. 808-813 - Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Paul Finucane, Peter Hobson, Anthony Jennings, Rodney McDougall, Brian C. Lovell:
An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images. 814-820 - Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour:
Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps. 821-827 - Hrushikesh Garud, Sri Phani Krishna Karri, Debdoot Sheet, Jyotirmoy Chatterjee, Manjunatha Mahadevappa, Ajoy Kumar Ray, Arindam Ghosh, Ashok K. Maity:
High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional Networks. 828-833 - David Joon Ho, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks. 834-842 - Philip Saponaro, Wayne Treible, Abhishek Kolagunda, Timothy Chaya, Jeffrey Caplan, Chandra Kambhamettu, Randall Wisser:
DeepXScope: Segmenting Microscopy Images with a Deep Neural Network. 843-850 - Liang Han, Zhaozheng Yin:
Transferring Microscopy Image Modalities with Conditional Generative Adversarial Networks. 851-859 - Jingru Yi, Pengxiang Wu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Fast Neural Cell Detection Using Light-Weight SSD Neural Network. 860-864 - Chen Wang, Hong Bu, Ji Bao, Chunming Li:
A Level Set Method for Gland Segmentation. 865-873
Traffic Surveillance Workshop and Challenge
- Faezeh Tafazzoli, Hichem Frigui, Keishin Nishiyama:
A Large and Diverse Dataset for Improved Vehicle Make and Model Recognition. 874-881 - Morten B. Jensen, Kamal Nasrollahi, Thomas B. Moeslund:
Evaluating State-of-the-Art Object Detector on Challenging Traffic Light Data. 882-888 - Eduardo R. Corral-Soto, James H. Elder:
Slot Cars: 3D Modelling for Improved Visual Traffic Analytics. 889-897 - Ruimin Ke, Jerome Lutin, Jerry Spears, Yinhai Wang:
A Cost-Effective Framework for Automated Vehicle-Pedestrian Near-Miss Detection Through Onboard Monocular Vision. 898-905