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ORCIDWACV 2018: Lake Tahoe, NV, USA
- 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, Lake Tahoe, NV, USA, March 12-15, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-4886-5
Oral 1A: Faces / Biometrics
- Victoria Fernández Abrevaya, Stefanie Wuhrer, Edmond Boyer:
Multilinear Autoencoder for 3D Face Model Learning. 1-9 - Farnaz Abtahi, Tony Ro, Wei Li, Zhigang Zhu
:
Emotion Analysis Using Audio/Video, EMG and EEG: A Dataset and Comparison Study. 10-19 - Sandipan Banerjee, Joel Brogan, Janez Krizaj, Aparna Bharati, Brandon RichardWebster, Vitomir Struc, Patrick J. Flynn, Walter J. Scheirer:
To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition? 20-29 - Benjamin S. Riggan, Nathaniel J. Short, Shuowen Hu:
Thermal to Visible Synthesis of Face Images Using Multiple Regions. 30-38 - KangGeon Kim, Zhenheng Yang, Iacopo Masi, Ramakant Nevatia, Gérard G. Medioni:
Face and Body Association for Video-Based Face Recognition. 39-48 - Chun-Hsiao Yeh, Herng-Hua Chang:
Face Liveness Detection Based on Perceptual Image Quality Assessment Features with Multi-scale Analysis. 49-56 - Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
Multiple Anthropological Fisher Kernel Framework and Its Application to Kinship Verification. 57-65 - Carlos Arango Duque, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik:
Micro-Expression Spotting Using the Riesz Pyramid. 66-74 - Francisco Madrigal, Frédéric Lerasle, André Monin:
3D Head Pose Estimation Enhanced Through SURF-Based Key-Frames. 75-83 - Emily M. Hand, Carlos Domingo Castillo, Rama Chellappa:
Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention. 84-92 - Jonathan N. Gois, Eduardo A. B. da Silva, Carla L. Pagliari, Marcelo M. Perez:
Fusion of Infrared and Visible-Light Videos Using Motion-Compensated Temporal Sub-Band Decompositions. 93-101 - Fatemeh Shiri, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Identity-Preserving Face Recovery from Portraits. 102-111 - Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li:
Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. 112-121 - Pouya Samangouei, Rama Chellappa, Mahyar Najibi, Larry S. Davis:
Face-MagNet: Magnifying Feature Maps to Detect Small Faces. 122-130 - Chunchun Li, Manuel Günther, Terrance E. Boult:
ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering. 131-140 - Marek Kowalski, Zbigniew Nasarzewski, Grzegorz Galinski, Piotr Garbat:
HoloFace: Augmenting Human-to-Human Interactions on HoloLens. 141-149 - Abhishek Jha, Vinay P. Namboodiri, C. V. Jawahar:
Word Spotting in Silent Lip Videos. 150-159 - Deepali Aneja, Bindita Chaudhuri, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones:
Learning to Generate 3D Stylized Character Expressions from Humans. 160-169
Oral 1B: Vision for X / Industrial / Documents
- Yipin Zhou, Yale Song, Tamara L. Berg:
Image2GIF: Generating Cinemagraphs Using Recurrent Deep Q-Networks. 170-178 - Siddharth Srivastava, Gaurav Sharma, Brejesh Lall:
Large Scale Novel Object Discovery in 3D. 179-188 - Nitin Agarwal, Nicola J. Ferrier, Mark Hereld:
Towards Automated Transcription of Label Text from Pinned Insect Collections. 189-198 - Bo Chang, Qiong Zhang, Shenyi Pan, Lili Meng:
Generating Handwritten Chinese Characters Using CycleGAN. 199-207 - Gil Levi, Pinhas Nisnevich, Adiel Ben-Shalom, Nachum Dershowitz, Lior Wolf:
A Method for Segmentation, Matching and Alignment of Dead Sea Scrolls. 208-217 - Noam Mor, Lior Wolf:
Confidence Prediction for Lexicon-Free OCR. 218-225 - Naoaki Kondo, Minoru Harada, Yuji Takagi:
Efficient Training for Automatic Defect Classification by Image Augmentation. 226-233 - Wei-Ta Chu, Kai-Chia Ho, Ali Borji:
Visual Weather Temperature Prediction. 234-241 - Siyang Qin, Peng Ren, Seongdo Kim, Roberto Manduchi:
Robust and Accurate Text Stroke Segmentation. 242-250 - Sajith Rajapaksa, Mark G. Eramian, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin:
Classification of Crop Lodging with Gray Level Co-occurrence Matrix. 251-258 - Svati Dhamija, Terrance E. Boult:
Automated Action Units Vs. Expert Raters: Face off. 259-268 - Pongsate Tangseng, Kota Yamaguchi, Takayuki Okatani:
Recommending Outfits from Personal Closet. 269-277 - Andrew D. Gilliam, Thomas B. Pollard, Andrew Neff, Yi Dong, Scott Sorensen, Robert Wagner, Selene Chew, Todd V. Rovito, Joseph L. Mundy:
SatTel: A Framework for Commercial Satellite Imagery Exploitation. 278-286 - Jianhui Chen, Fangrui Zhu, James J. Little:
A Two-Point Method for PTZ Camera Calibration in Sports. 287-295 - Anurag Ghosh, Suriya Singh, C. V. Jawahar:
Towards Structured Analysis of Broadcast Badminton Videos. 296-304 - Rahul Anand Sharma, Bharath Bhat, Vineet Gandhi, C. V. Jawahar:
Automated Top View Registration of Broadcast Football Videos. 305-313 - Ivan F. Rodriguez, Rémi Mégret, Edgar Acuña, José L. Agosto-Rivera, Tugrul Giray:
Recognition of Pollen-Bearing Bees from Video Using Convolutional Neural Network. 314-322 - Shubhra Aich, Anique Josuttes, Ilya Ovsyannikov, Keegan Strueby, Imran Ahmed, Hema Sudhakar Duddu, Curtis Pozniak, Steve Shirtliffe, Ian Stavness:
DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning. 323-332 - Sachin Mehta, Amar P. Azad, Saneem A. Chemmengath, Vikas Raykar, Shivkumar Kalyanaraman:
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels. 333-342
Oral 1C: Action / Pose / Biometrics
- Jiawei He, Zhiwei Deng, Mostafa S. Ibrahim, Greg Mori:
Generic Tubelet Proposals for Action Localization. 343-351 - Sangwoo Cho, Hassan Foroosh:
A Temporal Sequence Learning for Action Recognition and Prediction. 352-361 - Xin Li, Mooi Choo Chuah:
ReHAR: Robust and Efficient Human Activity Recognition. 362-371 - Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal:
A Generative Approach to Zero-Shot and Few-Shot Action Recognition. 372-380 - Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, Jia Deng:
Learning to Detect Human-Object Interactions. 381-389 - Gaurav Mishra, Saurabh Saini, Kiran Varanasi, P. J. Narayanan:
Human Shape Capture and Tracking at Home. 390-399 - Mohit Sharma, Dragan Ahmetovic, László A. Jeni, Kris M. Kitani:
Recognizing Visual Signatures of Spontaneous Head Gestures. 400-408 - Aakarsh Malhotra, Richa Singh, Mayank Vatsa, Vishal M. Patel:
Person Authentication Using Head Images. 409-417 - Srenivas Varadarajan, Parual Datta, Omesh Tickoo:
A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation. 418-426 - Jianhui Chen, Lili Meng, James J. Little:
Camera Selection for Broadcasting Soccer Games. 427-435 - Paschalis Panteleris, Iason Oikonomidis, Antonis A. Argyros:
Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild. 436-445 - Moritz Einfalt, Dan Zecha, Rainer Lienhart:
Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming. 446-455 - Ammar Qammaz, Damien Michel, Antonis A. Argyros:
A Hybrid Method for 3D Pose Estimation of Personalized Human Body Models. 456-465 - Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese:
Recurrent Autoregressive Networks for Online Multi-object Tracking. 466-475 - Rahul Sharma, Tanaya Guha, Gaurav Sharma:
Multichannel Attention Network for Analyzing Visual Behavior in Public Speaking. 476-484 - Chaofeng Chen, Xiao Tan, Kwan-Yee K. Wong:
Face Sketch Synthesis with Style Transfer Using Pyramid Column Feature. 485-493 - Peng Zhang, Qiang Wu, Jingsong Xu, Jian Zhang:
Long-Term Person Re-identification Using True Motion from Videos. 494-502 - Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Iris Presentation Attack via Textured Contact Lens in Unconstrained Environment. 503-511
Oral 1D: Medical / Vehicles / Multimedia
- Zhengqin Li, Zak Murez, David J. Kriegman, Ravi Ramamoorthi, Manmohan Chandraker:
Learning to See Through Turbulent Water. 512-520 - Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs:
FARSA: Fully Automated Roadway Safety Assessment. 521-529 - Puneet Gupta, Brojeshwar Bhowmick, Arpan Pal:
Robust Adaptive Heart-Rate Monitoring Using Face Videos. 530-538 - Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. 539-546 - Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI. 547-556 - Amrita Saha, Megha Nawhal, Mitesh M. Khapra, Vikas C. Raykar:
Learning Disentangled Multimodal Representations for the Fashion Domain. 557-566 - Niki Martinel, Gian Luca Foresti, Christian Micheloni:
Wide-Slice Residual Networks for Food Recognition. 567-576 - Varduhi Yeghiazaryan, Irina Voiculescu:
Path Reducing Watershed for the GPU. 577-585 - Amy Tabb, Keith E. Duncan, Christopher N. Topp:
Segmenting Root Systems in X-Ray Computed Tomography Images Using Level Sets. 586-595 - Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa, Michitaka Hirose:
Deep Radio-Visual Localization. 596-605 - Jonas Heylen, Seppe Iven, Bert De Brabandere, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks. 606-615 - Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala:
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. 616-625 - Kun Nie, Lars Wilko Sommer, Arne Schumann, Jürgen Beyerer:
Semantic Labeling Based Vehicle Detection in Aerial Imagery. 626-634 - Lars Wilko Sommer, Arne Schumann, Tobias Schuchert, Jürgen Beyerer:
Multi Feature Deconvolutional Faster R-CNN for Precise Vehicle Detection in Aerial Imagery. 635-642 - Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Subhashis Banerjee, Chetan Arora:
A Joint 3D-2D Based Method for Free Space Detection on Roads. 643-652 - Yi Zhou, Ling Shao:
Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network. 653-662 - Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Learning to Segment Breast Biopsy Whole Slide Images. 663-672 - Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie:
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification. 673-681 - Ligong Han, Robert F. Murphy, Deva Ramanan:
Learning Generative Models of Tissue Organization with Supervised GANs. 682-690 - Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei:
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. 691-699
Oral 2A: Machine Learning for Vision 1
- Zhifei Zhang, Yang Song, Hairong Qi:
Decoupled Learning for Conditional Adversarial Networks. 700-708 - Qiangui Huang, Shaohua Kevin Zhou, Suya You, Ulrich Neumann:
Learning to Prune Filters in Convolutional Neural Networks. 709-718 - Irad Peleg, Lior Wolf:
Structured GANs. 719-728 - Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould:
Neural Algebra of Classifiers. 729-737 - Jeffery Kinnison, Nathaniel Kremer-Herman, Douglas Thain, Walter J. Scheirer:
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization. 738-747 - Nicolai Wojke, Alex Bewley:
Deep Cosine Metric Learning for Person Re-identification. 748-756 - Bodi Yuan, Jianyu Chen, Weidong Zhang, Hung-Shuo Tai, Sara McMains:
Iterative Cross Learning on Noisy Labels. 757-765 - Xi Hang Cao, Zoran Obradovic, Kyungnam Kim:
A Simple yet Effective Model for Zero-Shot Learning. 766-774 - Ziyin Wang, Sepehr Farhand, Gavriil Tsechpenakis:
Fading Affect Bias: Improving the Trade-off Between Accuracy and Efficiency in Feature Clustering. 775-783 - Patrick Follmann, Tobias Böttger:
A Rotationally-Invariant Convolution Module by Feature Map Back-Rotation. 784-792 - Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon:
Learning Image Representations by Completing Damaged Jigsaw Puzzles. 793-802 - Andras Rozsa, Manuel Günther, Terrance E. Boult:
Towards Robust Deep Neural Networks with BANG. 803-811 - Dinesh Khandelwal, Parag Singla, Chetan Arora:
Learning Higher Order Potentials for MRFs. 812-820 - Ameya Prabhu, Vishal Batchu, Rohit Gajawada, Sri Aurobindo Munagala, Anoop M. Namboodiri:
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory. 821-829 - Ameya Prabhu, Vishal Batchu, Sri Aurobindo Munagala, Rohit Gajawada, Anoop M. Namboodiri:
Distribution-Aware Binarization of Neural Networks for Sketch Recognition. 830-838 - Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian:
Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks. 839-847 - Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran:
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. 848-857
Oral 2B: 3D / Geometry
- Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese:
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image. 858-866 - Andrea Bignoli, Andrea Romanoni, Matteo Matteucci:
Multi-view Stereo 3D Edge Reconstruction. 867-875 - Prashant Domadiya, Pratik Shah, Suman K. Mitra:
Vector Graph Representation for Deformation Transfer Using Poisson Interpolation. 876-884 - Menandro Roxas, Takeshi Oishi:
Real-Time Simultaneous 3D Reconstruction and Optical Flow Estimation. 885-893 - Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey:
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior. 894-902 - Pulak Purkait, Christopher Zach:
Minimal Solvers for Monocular Rolling Shutter Compensation Under Ackermann Motion. 903-911 - Nico Marniok, Bastian Goldluecke:
Real-Time Variational Range Image Fusion and Visualization for Large-Scale Scenes Using GPU Hash Tables. 912-920 - Michika Maruyama, Satoshi Tabata, Yoshihiro Watanabe:
Multi-pattern Embedded Phase Shifting Using a High-Speed Projector for Fast and Accurate Dynamic 3D Measurement. 921-929 - Hao Song, Mark G. Eramian, Emil Hallin, Blanche Leyeza, Paul G. Arnison, Ronald Rogge:
Robust and User Friendly 3D Re-Construction of Neutron Tomographic Images. 930-938 - Ayesha Siddiqua, Guoliang Fan:
Supervised Deep-Autoencoder for Depth Image-Based 3D Model Retrieval. 939-946 - Yu Cao, Haishu Tan, Fuqiang Zhou:
Minimal Non-Linear Camera Pose Estimation Method Using Lines for SLAM Application. 947-954 - Rafael Alves Roberto, Joao Paulo Silva do Monte Lima, Hideaki Uchiyama, Clemens Arth, Veronica Teichrieb, Rin-Ichiro Taniguchi, Dieter Schmalstieg:
Incremental Structural Modeling Based on Geometric and Statistical Analyses. 955-963 - David Guera, Fengqing Zhu, Sri Kalyan Yarlagadda, Stefano Tubaro, Paolo Bestagini, Edward J. Delp:
Reliability Map Estimation for CNN-Based Camera Model Attribution. 964-973 - Lokender Tiwari, Saket Anand:
DGSAC: Density Guided Sampling and Consensus. 974-982 - Tavi Halperin, Michael Werman:
An Epipolar Line from a Single Pixel. 983-991 - Dominik Van Opdenbosch, Tamay Aykut, Nicolas Alt, Eckehard G. Steinbach:
Efficient Map Compression for Collaborative Visual SLAM. 992-1000 - Fangwei Zhong, Sheng Wang, Ziqi Zhang, China Chen, Yizhou Wang:
Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial. 1001-1010 - Andreas Kuhn, Lukas Roth, Jan-Michael Frahm, Helmut Mayer:
Improvement of Extrinsic Parameters from a Single Stereo Pair. 1011-1019
Oral 2C: Tracking / Detection
- Anupam Sobti, Chetan Arora, M. Balakrishnan:
Object Detection in Real-Time Systems: Going Beyond Precision. 1020-1028 - Manal Al Ghamdi, Yoshihiko Gotoh:
Graph-Based Correlated Topic Model for Trajectory Clustering in Crowded Videos. 1029-1037 - Dinghuang Ji, Zheng Wei, Enrique Dunn, Jan-Michael Frahm:
Dynamic Visual Sequence Prediction with Motion Flow Networks. 1038-1046 - Litu Rout, Sidhartha, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Rotation Adaptive Visual Object Tracking with Motion Consistency. 1047-1055 - René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker:
SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. 1056-1065 - Rémi Trichet, François Brémond:
LBP Channels for Pedestrian Detection. 1066-1074 - Jason R. Parham, Charles V. Stewart, Jonathan P. Crall, Daniel I. Rubenstein, Jason Holmberg, Tanya Y. Berger-Wolf:
An Animal Detection Pipeline for Identification. 1075-1083 - Xinshuo Weng, Shangxuan Wu, Fares Beainy, Kris M. Kitani:
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision. 1084-1092 - Sanghyun Woo, Soonmin Hwang, In So Kweon:
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection. 1093-1102 - Heng Yu, Eshed Ohn-Bar, Donghyun Yoo, Kris M. Kitani:
SmartPartNet: Part-Informed Person Detection for Body-Worn Smartphones. 1103-1112 - Lu Zhang, Miaojing Shi, Qiaobo Chen:
Crowd Counting via Scale-Adaptive Convolutional Neural Network. 1113-1121 - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking. 1122-1132 - Burak Uzkent, YoungWoo Seo:
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking. 1133-1141 - Jaepung An, Jaehyun Lee, Jiman Jeong, Insung Ihm:
Tracking an RGB-D Camera on Mobile Devices Using an Improved Frame-to-Frame Pose Estimation Method. 1142-1150 - Greg Olmschenk, Hao Tang, Zhigang Zhu:
Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target Regression. 1151-1159 - Oytun Ulutan, Benjamin S. Riggan, Nasser M. Nasrabadi, B. S. Manjunath:
An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data. 1160-1169 - Hyemin Lee, Daijin Kim:
Salient Region-Based Online Object Tracking. 1170-1177 - Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Marco Cristani, Fabio Galasso:
"Seeing is Believing": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention. 1178-1185 - Hao Xue, Du Q. Huynh, Mark Reynolds:
SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction. 1186-1194
Oral 2D: Machine Learning for Vision 2
- Wenling Shang, Kihyuk Sohn, Yuandong Tian:
Channel-Recurrent Autoencoding for Image Modeling. 1195-1204 - Liang-Yan Gui, Liangke Gui, Yu-Xiong Wang, Louis-Philippe Morency, José M. F. Moura:
Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering. 1205-1214 - Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong:
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. 1215-1224 - Min Wang, Baoyuan Liu, Hassan Foroosh:
Look-Up Table Unit Activation Function for Deep Convolutional Neural Networks. 1225-1233 - Francisco Rodolfo Barbosa-Anda, Frédéric Lerasle, Cyril Briand, Alhayat Ali Mekonnen:
Soft-Cascade Learning with Explicit Computation Time Considerations. 1234-1243 - Karim Ahmed, Lorenzo Torresani:
BranchConnect: Image Categorization with Learned Branch Connections. 1244-1253 - Shangzhen Luan, Baochang Zhang, Siyue Zhou, Chen Chen, Jungong Han, Wankou Yang, Jianzhuang Liu:
Gabor Convolutional Networks. 1254-1262 - Jan Svoboda, Thomas J. Cashman, Andrew W. Fitzgibbon:
QRkit: Sparse, Composable QR Decompositions for Efficient and Stable Solutions to Problems in Computer Vision. 1263-1272 - Mingze Xu, Chenyou Fan, John D. Paden, Geoffrey C. Fox, David J. Crandall:
Multi-task Spatiotemporal Neural Networks for Structured Surface Reconstruction. 1273-1282 - Liangfu Chen, Zeng Yang, Jianjun Ma, Zheng Luo:
Driving Scene Perception Network: Real-Time Joint Detection, Depth Estimation and Semantic Segmentation. 1283-1291 - Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection. 1292-1301 - Ashkan Panahi, Xiao Bian, Hamid Krim, Liyi Dai:
Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. 1302-1311 - Salman H. Khan, Munawar Hayat, Nick Barnes:
Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation. 1312-1320 - Zehua Fu, Mohsen Ardabilian Fard:
Learning Confidence Measures by Multi-modal Convolutional Neural Networks. 1321-1330 - Domen Racki, Dejan Tomazevic, Danijel Skocaj:
A Compact Convolutional Neural Network for Textured Surface Anomaly Detection. 1331-1339 - Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker:
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? 1340-1349 - Duc Minh Vo, Trung-Nghia Le, Akihiro Sugimoto:
Balancing Content and Style with Two-Stream FCNs for Style Transfer. 1350-1358
Oral 3A: Segmentation / Saliency / Super-Resolution
- Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
DARN: A Deep Adversarial Residual Network for Intrinsic Image Decomposition. 1359-1367 - Roey Mechrez, Eli Shechtman, Lihi Zelnik-Manor:
Saliency Driven Image Manipulation. 1368-1376 - Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli:
Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps. 1377-1386 - Ning Yu, Xiaohui Shen, Zhe Lin, Radomír Mech, Connelly Barnes:
Learning to Detect Multiple Photographic Defects. 1387-1396 - Akshay Dudhane, Subrahmanyam Murala:
C^2MSNet: A Novel Approach for Single Image Haze Removal. 1397-1404 - Chetan Arora, Vivek Kwatra:
Stabilizing First Person 360 Degree Videos. 1405-1413 - Marc Bosch, Christopher M. Gifford, Pedro A. Rodriguez:
Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning. 1414-1422 - Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution. 1423-1431 - Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu:
Towards the Success Rate of One: Real-Time Unconstrained Salient Object Detection. 1432-1441 - Ryuhei Hamaguchi, Aito Fujita, Keisuke Nemoto, Tomoyuki Imaizumi, Shuhei Hikosaka:
Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery. 1442-1450 - Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell:
Understanding Convolution for Semantic Segmentation. 1451-1460 - Linwei Ye, Zhi Liu, Yang Wang:
Learning Semantic Segmentation with Diverse Supervision. 1461-1469 - Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar:
Image Segmentation Using Sparse Subset Selection. 1470-1479 - Elena Garces, Erik Reinhard:
Light-Field Surface Color Segmentation with an Application to Intrinsic Decomposition. 1480-1488 - Qin Huang, Chunyang Xia, Siyang Li, Ye Wang, Yuhang Song, C.-C. Jay Kuo:
Unsupervised Clustering Guided Semantic Segmentation. 1489-1498 - Ishan Nigam, Chen Huang, Deva Ramanan:
Ensemble Knowledge Transfer for Semantic Segmentation. 1499-1508 - Mai Lan Ha, Gianni Franchi, Michael Möller, Andreas Kolb, Volker Blanz:
Segmentation and Shape Extraction from Convolutional Neural Networks. 1509-1518 - Fuwen Tan, Crispin Bernier, Benjamin Cohen, Vicente Ordonez, Connelly Barnes:
Where and Who? Automatic Semantic-Aware Person Composition. 1519-1528 - Prakhar Gupta, Shubh Gupta, Ajaykrishnan Jayagopal, Sourav Pal, Ritwik Sinha:
Saliency Prediction for Mobile User Interfaces. 1529-1538 - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks. 1539-1548
Oral 3B: Action Recognition / Surveillance / Language
- Roeland De Geest, Tinne Tuytelaars:
Modeling Temporal Structure with LSTM for Online Action Detection. 1549-1557 - Effrosyni Mavroudi, Divya Bhaskara, Shahin Sefati, Haider Ali, René Vidal:
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding. 1558-1567 - Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei:
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. 1568-1576 - Hongtao Yang, Xuming He, Fatih Porikli:
Instance-Aware Detailed Action Labeling in Videos. 1577-1586 - Joe Yue-Hei Ng, Larry S. Davis:
Temporal Difference Networks for Video Action Recognition. 1587-1596 - Rosaura G. Vidal, Sreya Banerjee, Klemen Grm, Vitomir Struc, Walter J. Scheirer:
UG^2: A Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition. 1597-1606 - Mingze Xu, Aidean Sharghi, Xin Chen, David J. Crandall:
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition. 1607-1615 - Joe Yue-Hei Ng, Jonghyun Choi, Jan Neumann, Larry S. Davis:
ActionFlowNet: Learning Motion Representation for Action Recognition. 1616-1624 - Sovan Biswas, Juergen Gall:
Structural Recurrent Neural Network (SRNN) for Group Activity Analysis. 1625-1632 - Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn:
Learning Hierarchical Models of Complex Daily Activities from Annotated Videos. 1633-1641 - Ruichi Yu, Hongcheng Wang, Larry S. Davis:
ReMotENet: Efficient Relevant Motion Event Detection for Large-Scale Home Surveillance Videos. 1642-1651 - Murray Evans, Steffi L. Colyer, Darren P. Cosker, Aki Salo:
Foot Contact Timings and Step Length for Sprint Training. 1652-1660 - Nadia Robertini, Florian Bernard, Weipeng Xu, Christian Theobalt:
Illumination-Invariant Robust Multiview 3D Human Motion Capture. 1661-1670 - Kenan E. Ak, Joo-Hwee Lim, Jo Yew Tham, Ashraf A. Kassim:
Efficient Multi-attribute Similarity Learning Towards Attribute-Based Fashion Search. 1671-1679 - Kai Xu, Fengbo Ren:
CSVideoNet: A Real-Time End-to-End Learning Framework for High-Frame-Rate Video Compressive Sensing. 1680-1688 - Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe:
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. 1689-1698 - Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, Youngjin Yoon, In So Kweon:
Disjoint Multi-task Learning Between Heterogeneous Human-Centric Tasks. 1699-1708 - Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen:
Fine-Grained and Semantic-Guided Visual Attention for Image Captioning. 1709-1717 - Jinsoo Choi, Tae-Hyun Oh, In So Kweon:
Contextually Customized Video Summaries Via Natural Language. 1718-1726
Oral 3C: Vision and Learning, Languages, Applications
- Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu, Zhixun Su, Ming-Hsuan Yang:
Learning Video-Story Composition via Recurrent Neural Network. 1727-1735 - Liu Liu, Hairong Qi:
Discriminative Cross-View Binary Representation Learning. 1736-1744 - Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Unsupervised Object Discovery for Instance Recognition. 1745-1754 - Ashraf Siddique, Seungkyu Lee:
Video Inpainting for Arbitrary Foreground Object Removal. 1755-1763 - Michal Kucer, David W. Messinger:
Aesthetic Inference for Smart Mobile Devices. 1764-1773 - Shangwen Li, Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo:
Improving Object Classification Performance via Confusing Categories Study. 1774-1783 - Wei Xiang, Dong-Qing Zhang, Heather Yu, Vassilis Athitsos:
Context-Aware Single-Shot Detector. 1784-1793 - Jingyan Wang, Olga Russakovsky, Deva Ramanan:
The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement. 1794-1803 - Xuebin Qin, Shida He, Zichen Zhang, Masood Dehghan, Martin Jägersand:
ByLabel: A Boundary Based Semi-Automatic Image Annotation Tool. 1804-1813 - Mikyas T. Desta, Larry Chen, Tomasz Kornuta:
Object-Based Reasoning in VQA. 1814-1823 - Ajit Puthenputhussery, Qingfeng Liu, Hao Liu, Chengjun Liu:
Generative and Discriminative Sparse Coding for Image Classification Applications. 1824-1832 - Shayok Chakraborty:
Distributed Active Learning for Image Recognition. 1833-1841 - Ke Wang, Mohit Bansal, Jan-Michael Frahm:
Retweet Wars: Tweet Popularity Prediction via Dynamic Multimodal Regression. 1842-1851 - Handong Zhao, Quanfu Fan, Dan Gutfreund, Yun Fu:
Semantically Guided Visual Question Answering. 1852-1860 - Arun Balajee Vasudevan, Dengxin Dai:
Object Referring in Visual Scene with Spoken Language. 1861-1870 - Jonatas Wehrmann, Mauricio A. Lopes, Martin D. Móre, Rodrigo C. Barros:
Fast Self-Attentive Multimodal Retrieval. 1871-1878 - Tianlang Chen, Chenliang Xu, Jiebo Luo:
Improving Text-Based Person Search by Spatial Matching and Adaptive Threshold. 1879-1887 - Zhe Wang, Xiaoyi Liu, Limin Wang, Yu Qiao, Xiaohui Xie, Charless C. Fowlkes:
Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering. 1888-1896
Oral 3D: Features / Detection / Shape / Non-RGB
- Adil M. Ahmad, Daniel Lemmond, Terrance E. Boult:
Chainlets: A New Descriptor for Detection and Recognition. 1897-1906 - Yue Wu, Wael Abd-Almageed, Prem Natarajan:
Image Copy-Move Forgery Detection via an End-to-End Deep Neural Network. 1907-1915 - Di Qi, Joshua Arfin, Mengxue Zhang, Tushar Mathew, Robert Pless, Brendan Juba:
Anomaly Explanation Using Metadata. 1916-1924 - Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker:
3D Shape Processing by Convolutional Denoising Autoencoders on Local Patches. 1925-1934 - Amy Tabb, Henry Medeiros:
Fast and Robust Curve Skeletonization for Real-World Elongated Objects. 1935-1943 - Arulkumar Subramaniam, Prashanth Balasubramanian, Anurag Mittal:
NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations. 1944-1953 - Sanjay Ghosh, Naveen Tripathi:
Guided Filtering of Hyperspectral Images. 1954-1962 - Jungjun Kim, Hwasup Lim, Sang Chul Ahn, Seungkyu Lee:
RGBD Camera Based Material Recognition via Surface Roughness Estimation. 1963-1971 - Miguel Domínguez, Rohan Dhamdhere, Atir Petkar, Saloni Jain, Shagan Sah, Raymond W. Ptucha:
General-Purpose Deep Point Cloud Feature Extractor. 1972-1981 - Xingchao Peng, Kate Saenko:
Synthetic to Real Adaptation with Generative Correlation Alignment Networks. 1982-1991 - Jan Kallwies, Hans-Joachim Wuensche:
Effective Combination of Vertical and Horizontal Stereo Vision. 1992-2000 - Youye Xie, Gongguo Tang, William A. Hoff:
Chess Piece Recognition Using Oriented Chamfer Matching with a Comparison to CNN. 2001-2009 - Tamay Aykut, Christoph Burgmair, Mojtaba Karimi, Jingyi Xu, Eckehard G. Steinbach:
Delay Compensation for Actuated Stereoscopic 360 Degree Telepresence Systems with Probabilistic Head Motion Prediction. 2010-2018 - Johannes Kunzel, Thomas Werner, Peter Eisert, Jan Waschnewski:
Automatic Analysis of Sewer Pipes Based on Unrolled Monocular Fisheye Images. 2019-2027 - Jilliam María Díaz Barros, Bruno Mirbach, Frederic Garcia, Kiran Varanasi, Didier Stricker:
Fusion of Keypoint Tracking and Facial Landmark Detection for Real-Time Head Pose Estimation. 2028-2037 - Niluthpol Chowdhury Mithun, Cody Simons, Robert Casey, Stefan Hilligardt, Amit K. Roy-Chowdhury:
Learning Long-Term Invariant Features for Vision-Based Localization. 2038-2047 - Katharina Schwarz, Patrick Wieschollek, Hendrik P. A. Lensch:
Will People Like Your Image? Learning the Aesthetic Space. 2048-2057 - Kaili Wang, Yu-Hui Huang, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
An Analysis of Human-Centered Geolocation. 2058-2066
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