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ORCIDWACV 2019: Waikoloa Village, HI, USA
- IEEE Winter Conference on Applications of Computer Vision, WACV 2019, Waikoloa Village, HI, USA, January 7-11, 2019. IEEE 2019, ISBN 978-1-7281-1975-5
Oral Session 1A: Action Recognition, Infrared/Spectral Imaging, Medical & Bioinformatics Image, Real-Time Tracking
- Bo Zhou, Antong Chen, Randolph Crawford, Belma Dogdas, Gregory Goldmacher:
A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions. 1-10 - Soumya Shubhra Ghosh, Yang Hua
, Sankha Subhra Mukherjee, Neil Martin Robertson:
IEGAN: Multi-Purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network. 11-20 - Philipe Ambrozio Dias, Zhou Shen, Amy Tabb, Henry Medeiros:
FreeLabel: A Publicly Available Annotation Tool Based on Freehand Traces. 21-30 - Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee:
EGO-SLAM: A Robust Monocular SLAM for Egocentric Videos. 31-40 - Qingsen Yan, Dong Gong, Pingping Zhang, Qinfeng Shi, Jinqiu Sun, Ian David Reid, Yanning Zhang:
Multi-Scale Dense Networks for Deep High Dynamic Range Imaging. 41-50 - Guojing Cong, Giacomo Domeniconi, Joshua Shapiro, Chih-Chieh Yang, Barry Chen:
Video Action Recognition With an Additional End-to-End Trained Temporal Stream. 51-60 - Sunoh Kim, Kimin Yun, Jongyoul Park, Jin Young Choi:
Skeleton-Based Action Recognition of People Handling Objects. 61-70 - Srijan Das, Arpit Chaudhary, François Brémond, Monique Thonnat:
Where to Focus on for Human Action Recognition? 71-80 - Puneet Mathur, Meghna Ayyar, Rajiv Ratn Shah, Sg Sharma:
Exploring Classification of Histological Disease Biomarkers From Renal Biopsy Images. 81-90 - Liheng Zhang, Vivek K. Singh, Guo-Jun Qi, Terrence Chen:
Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography. 91-100 - Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao:
Model-Free Tracking With Deep Appearance and Motion Features Integration. 101-110 - Marjaneh Safaei, Hassan Foroosh:
Still Image Action Recognition by Predicting Spatial-Temporal Pixel Evolution. 111-120 - Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. 121-140 - Joshua Gleason, Rajeev Ranjan, Steven Schwarcz, Carlos Domingo Castillo, Jun-Cheng Chen, Rama Chellappa:
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos. 141-150 - Xiyang Dai, Bharat Singh, Joe Yue-Hei Ng, Larry S. Davis:
TAN: Temporal Aggregation Network for Dense Multi-Label Action Recognition. 151-160 - Peng Chu, Heng Fan, Chiu C. Tan, Haibin Ling:
Online Multi-Object Tracking With Instance-Aware Tracker and Dynamic Model Refreshment. 161-170 - Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye:
Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. 171-178 - Unaiza Ahsan, Rishi Madhok, Irfan A. Essa:
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition. 179-189 - Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar:
Going Deeper With Semantics: Video Activity Interpretation Using Semantic Contextualization. 190-199 - Harshala Gammulle, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation. 200-209
Oral Session 1B: Early & Biologically-Inspired Vision, Evaluation & Comparison of Vision Algorithms, Vision & Languages, Vision for Robotics
- He Zhang, Lingqiu Jin, Hao Zhang, Cang Ye:
A Comparative Analysis of Visual-Inertial SLAM for Assisted Wayfinding of the Visually Impaired. 210-217 - Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi:
Self-Paced Adversarial Training for Multimodal Few-Shot Learning. 218-226 - Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral:
Spatial Knowledge Distillation to Aid Visual Reasoning. 227-235 - Abhishek Sinha, Akilesh B, Mausoom Sarkar, Balaji Krishnamurthy:
Attention Based Natural Language Grounding by Navigating Virtual Environment. 236-244 - Runzhou Ge, Jiyang Gao, Kan Chen, Ram Nevatia:
MAC: Mining Activity Concepts for Language-Based Temporal Localization. 245-253 - Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo:
TextCaps: Handwritten Character Recognition With Very Small Datasets. 254-262 - Li Ren, Guo-Jun Qi, Kien A. Hua:
Improving Diversity of Image Captioning Through Variational Autoencoders and Adversarial Learning. 263-272 - Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper Into Egocentric Gaze Prediction. 273-282 - Yimin Zhou, Yiwei Sun, Vasant G. Honavar:
Improving Image Captioning by Leveraging Knowledge Graphs. 283-293 - Ronny Hänsch, Philipp Wiesner, Sophie Wendler, Olaf Hellwich:
Colorful Trees: Visualizing Random Forests for Analysis and Interpretation. 294-302 - Xinhua Zhang, Lance R. Williams:
Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors. 303-311 - Yu Wang, Jien Kato:
Good Choices for Deep Convolutional Feature Encoding. 312-320 - Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. 321-330 - Yilun Chen, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, John M. Dolan:
Learning On-Road Visual Control for Self-Driving Vehicles With Auxiliary Tasks. 331-338 - Lijun Li, Boqing Gong:
End-to-End Video Captioning With Multitask Reinforcement Learning. 339-348 - Yundong Zhang, Juan Carlos Niebles, Alvaro Soto:
Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining. 349-357 - K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian:
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. 358-366 - Tianyang Wang, Jun Huan, Michelle Zhu:
Instance-Based Deep Transfer Learning. 367-375 - Diqi Chen, Yizhou Wang, Hongyu Ren, Wen Gao:
No-Reference Image Quality Assessment: An Attention Driven Approach. 376-385 - Hao Tang, Heng Wei, Wei Xiao, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe:
Deep Micro-Dictionary Learning and Coding Network. 386-395
Oral Session 2A: Vision Systems & Applications
- Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko:
Joint Event Detection and Description in Continuous Video Streams. 396-405 - Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Recovering Faces From Portraits with Auxiliary Facial Attributes. 406-415 - Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue, Fabio Galasso:
Human-Centric Light Sensing and Estimation From RGBD Images: The Invisible Light Switch. 416-425 - Jonathan D. Jones, Gregory D. Hager, Sanjeev Khudanpur:
Toward Computer Vision Systems That Understand Real-World Assembly Processes. 426-434 - Bo Yang Hsueh, Wei Li, I-Chen Wu:
Stochastic Gradient Descent With Hyperbolic-Tangent Decay on Classification. 435-442 - John Paul Tan Yusiong, Prospero C. Naval:
AsiANet: Autoencoders in Autoencoder for Unsupervised Monocular Depth Estimation. 443-451 - Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan:
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. 452-461 - Hanbit Lee, Sang-goo Lee:
Fashion Attributes-to-Image Synthesis Using Attention-Based Generative Adversarial Network. 462-470 - Shamit Lal, Shivam Duggal, Indu Sreedevi:
Online Video Summarization: Predicting Future to Better Summarize Present. 471-480 - Tri Huynh, Jay Pillai, Eunyoung Kim, Kristen Aw, Jack Sim, Ken Goldman, Rui Min:
Bringing Vision to the Blind: From Coarse to Fine, One Dollar at a Time. 481-490 - Marcus Klasson, Cheng Zhang, Hedvig Kjellström:
A Hierarchical Grocery Store Image Dataset With Visual and Semantic Labels. 491-500 - Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Fabio Galasso, Alessio Del Bue:
RGBD2lux: Dense Light Intensity Estimation With an RGBD Sensor. 501-510 - Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman, Serge J. Belongie:
Understanding Image Quality and Trust in Peer-to-Peer Marketplaces. 511-520 - Tingting Qiao, Weijing Zhang, Miao Zhang, Zixuan Ma, Duanqing Xu:
Ancient Painting to Natural Image: A New Solution for Painting Processing. 521-530 - Shefali Srivastava, Abhimanyu Chopra, Arun C. S. Kumar, Suchendra M. Bhandarkar, Deepak Sharma:
Matching Disparate Image Pairs Using Shape-Aware ConvNets. 531-540 - Aritra Dutta, Peter Richtárik:
Online and Batch Supervised Background Estimation Via L1 Regression. 541-550 - Chia-Wen Kuo, Jacob Ashmore, David Huggins, Zsolt Kira:
Data-Efficient Graph Embedding Learning for PCB Component Detection. 551-560 - Xishuai Peng, Yi Lu Murphey, Simon Stent, Yuanxiang Li, Zihao Zhao:
Spatial Focal Loss for Pedestrian Detection in Fisheye Imagery. 561-569 - Nihal Murali, Jon Schneider, Joel Levine, Graham W. Taylor:
Classification and Re-Identification of Fruit Fly Individuals Across Days With Convolutional Neural Networks. 570-578 - Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Multi-Component Image Translation for Deep Domain Generalization. 579-588
Oral Session 2B: Document Analysis, Image/Video Indexing & Retrieval, Industrial Inspection, Remote Sensing
- Nam Vo, James Hays:
Generalization in Metric Learning: Should the Embedding Layer Be Embedding Layer? 589-598 - Georg Waltner, Michael Opitz, Horst Possegger, Horst Bischof:
HiBsteR: Hierarchical Boosted Deep Metric Learning for Image Retrieval. 599-608 - Ayan Kumar Bhunia, Sai Raj Kishore Perla, Pranay Mukherjee, Abhirup Das, Partha Pratim Roy:
Texture synthesis guided deep hashing for texture image retrieval. 609-618 - Erol Cromwell, Donna Flynn:
Lidar Cloud Detection With Fully Convolutional Networks. 619-627 - Dipanjan Das, Ratul Ghosh, Brojeshwar Bhowmick:
Deep Representation Learning Characterized by Inter-Class Separation for Image Clustering. 628-637 - Björn Barz, Joachim Denzler:
Hierarchy-Based Image Embeddings for Semantic Image Retrieval. 638-647 - Marc Bosch, Gordon A. Christie, Christopher M. Gifford:
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery. 648-656 - Ning Ma, Alexey Volkov, Aleksandr Livshits, Pawel Pietrusinski, Houdong Hu, Mark Bolin:
An Universal Image Attractiveness Ranking Framework. 657-665 - Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan:
A Framework Towards Domain Specific Video Summarization. 666-675 - Dafang He, Xiao Yang, Dan Kifer, C. Lee Giles:
TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture With a Multi-Task Cascade. 676-685 - Yuki Inoue, Hiroto Nagayoshi:
Deployment Conscious Automatic Surface Crack Detection. 686-694 - Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid:
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. 695-704 - Zhongping Zhang, Yue Wu, Zheng Zhou, Youzuo Lin:
VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks. 705-714 - István Fehérvári, Srikar Appalaraju:
Scalable Logo Recognition Using Proxies. 715-725 - Monica Haurilet, Ziad Al-Halah, Rainer Stiefelhagen:
SPaSe - Multi-Label Page Segmentation for Presentation Slides. 726-734 - Adam Van Etten:
Satellite Imagery Multiscale Rapid Detection with Windowed Networks. 735-743 - Bodi Yuan, Brian Giera, Gabe Guss, Ibo Matthews, Sara McMains:
Semi-Supervised Convolutional Neural Networks for In-Situ Video Monitoring of Selective Laser Melting. 744-753 - Mohamed Elfeki, Ali Borji:
Video Summarization Via Actionness Ranking. 754-763 - Zhida Huang, Zhuoyao Zhong, Lei Sun, Qiang Huo:
Mask R-CNN With Pyramid Attention Network for Scene Text Detection. 764-772 - Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath:
Zero Shot License Plate Re-Identification. 773-781
Oral Session 3A: Biometrics, Statistical Methods & Learning
- Luisa F. Polanía, Glenn Fung, Dongning Wang:
Ordinal Regression Using Noisy Pairwise Comparisons for Body Mass Index Range Estimation. 782-790 - Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti:
Learning Privacy Preserving Encodings Through Adversarial Training. 791-799 - Aditya Bhattacharya, Shayok Chakraborty:
Active Learning with n-ary Queries for Image Recognition. 800-808 - Tian Han, Yang Lu, Jiawen Wu, Xianglei Xing, Ying Nian Wu:
Learning Generator Networks for Dynamic Patterns. 809-818 - Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel:
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. 819-828 - Mona Ragab Sayed, Terence Sim, Joo-Hwee Lim, Keng Teck Ma:
Which Body Is Mine? 829-838 - Ayesha Gurnani, Kenil Shah, Vandit Gajjar, Viraj Mavani, Yash Khandhediya:
SAF-BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression. 839-847 - Hadi Kazemi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Style and Content Disentanglement in Generative Adversarial Networks. 848-856 - Domingo Mery, Ignacio Mackenney, Esteban Villalobos:
Student Attendance System in Crowded Classrooms Using a Smartphone Camera. 857-866 - Daniel P. Benalcazar, Claudio A. Perez, Diego Bastias, Kevin W. Bowyer:
Iris Recognition: Comparing Visible-Light Lateral and Frontal Illumination to NIR Frontal Illumination. 867-876 - Adam Czajka, Zhaoyuan Fang, Kevin W. Bowyer:
Iris Presentation Attack Detection Based on Photometric Stereo Features. 877-885 - Akshay Mehrotra, Ambedkar Dukkipati:
Skip Residual Pairwise Networks With Learnable Comparative Functions for Few-Shot Learning. 886-894 - Indu Joshi, Adithya Anand, Mayank Vatsa, Richa Singh, Sumantra Dutta Roy, Prem Kalra:
Latent Fingerprint Enhancement Using Generative Adversarial Networks. 895-903 - Andrey Kuehlkamp, Kevin W. Bowyer:
Predicting Gender From Iris Texture May Be Harder Than It Seems. 904-912 - Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. 913-921 - Xiang Xu, Ha A. Le, Ioannis A. Kakadiaris:
On the Importance of Feature Aggregation for Face Reconstruction. 922-931 - Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim:
Task Relation Networks. 932-940 - Daniel Moreira, Mateusz Trokielewicz, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn:
Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-Driven Verification. 941-949 - Xu Zhou, Pak Lun Kevin Ding, Baoxin Li:
Improving Robustness of Random Forest Under Label Noise. 950-958 - Adam Czajka, Daniel Moreira, Kevin W. Bowyer, Patrick J. Flynn:
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition. 959-967
Oral Session 3B: 3-D Modeling, Scene Understanding
- Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz:
Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. 968-977 - Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi:
Low-Shot Learning From Imaginary 3D Model. 978-985 - Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu, Jackson Reesee, Azadeh Moghtaderi, Ming-Hsuan Yang, David C. Noelle:
Ventral-Dorsal Neural Networks: Object Detection Via Selective Attention. 986-994 - Jonathan D. Stets, Zhengqin Li, Jeppe Revall Frisvad, Manmohan Chandraker:
Single-Shot Analysis of Refractive Shape Using Convolutional Neural Networks. 995-1003 - Ding Liu, Zixu Zhao, Xinchao Wang, Yuxiao Hu, Lei Zhang, Thomas S. Huang:
Improving 3D Human Pose Estimation Via 3D Part Affinity Fields. 1004-1013 - Yifan Xing, Rahul Tewari, Paulo R. S. Mendonca:
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction. 1014-1023 - Shu Kong, Charless C. Fowlkes:
Pixel-Wise Attentional Gating for Scene Parsing. 1024-1033 - Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. 1034-1042 - Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani:
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries. 1043-1051 - Priyanka Mandikal, Venkatesh Babu Radhakrishnan:
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. 1052-1060 - Zakaria Laskar, Hamed Rezazadegan Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. 1061-1069 - Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce:
Recurrent Iterative Gating Networks for Semantic Segmentation. 1070-1079 - Yoni Kasten, Meirav Galun, Ronen Basri:
Resultant Based Incremental Recovery of Camera Pose From Pairwise Matches. 1080-1088 - Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes. 1089-1098 - Swaminathan Gurumurthy, Shubham Agrawal:
High Fidelity Semantic Shape Completion for Point Clouds Using Latent Optimization. 1099-1108 - Tejaswi Kasarla, Gattigorla Nagendar, Guruprasad M. Hegde, Vineeth Balasubramanian, C. V. Jawahar:
Region-based active learning for efficient labeling in semantic segmentation. 1109-1117 - Diqi Chen, Xiaodan Liang, Yizhou Wang, Wen Gao:
Soft Transfer Learning via Gradient Diagnosis for Visual Relationship Detection. 1118-1126 - Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Attention Mechanisms for Object Recognition With Event-Based Cameras. 1127-1136 - Akila Pemasiri, Kien Nguyen Thanh, Sridha Sridharan, Clinton Fookes:
Semantic Correspondence in the Wild. 1137-1146 - Akshay Dudhane, Subrahmanyam Murala:
CDNet: Single Image De-Hazing Using Unpaired Adversarial Training. 1147-1155
Oral Session 4A: Object Recognition
- Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker:
Memory Warps for Long-Term Online Video Representations and Anticipation. 1156-1165 - Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri:
Stability Based Filter Pruning for Accelerating Deep CNNs. 1166-1174 - Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification. 1175-1184 - Hongguang Zhang, Piotr Koniusz:
Power Normalizing Second-Order Similarity Network for Few-Shot Learning. 1185-1193 - Ali Cheraghian, Lars Petersson:
3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds. 1194-1202 - Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim:
Learning Receptive Field Size by Learning Filter Size. 1203-1212 - Yihui He, Xianggen Liu, Huasong Zhong, Yuchun Ma:
AddressNet: Shift-Based Primitives for Efficient Convolutional Neural Networks. 1213-1222 - Vismay Patel, Niranjan Mujumdar, Prashanth Balasubramanian, Smit Marvaniya, Anurag Mittal:
Data Augmentation Using Part Analysis for Shape Classification. 1223-1232 - Omar Vidal Pino, Erickson R. Nascimento, Mario F. M. Campos:
Prototypicality Effects in Global Semantic Description of Objects. 1233-1242 - Sima Behpour, Kris M. Kitani, Brian D. Ziebart:
ADA: Adversarial Data Augmentation for Object Detection. 1243-1252 - Zuxuan Wu, Larry Davis, Leonid Sigal:
Weakly-Supervised Spatial Context Networks. 1253-1261 - Cecilia Summers, Michael J. Dinneen:
Improved Mixed-Example Data Augmentation. 1262-1270 - Xiaodi Wang, Ce Li, Yipeng Mou, Baochang Zhang, Jungong Han, Jianzhuang Liu:
Taylor Convolutional Networks for Image Classification. 1271-1279 - Mohammad Asiful Hossain, Mehrdad Hosseinzadeh, Omit Chanda, Yang Wang:
Crowd Counting Using Scale-Aware Attention Networks. 1280-1288 - Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan:
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. 1289-1299 - Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense Against Localized Adversarial Attacks. 1300-1307 - Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang:
Zero-Shot Learning Via Recurrent Knowledge Transfer. 1308-1317 - Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri:
Multi-Layer Pruning Framework for Compressing Single Shot MultiBox Detector. 1318-1327 - Patrick Follmann, Rebecca König, Philipp Härtinger, Michael Klostermann, Tobias Böttger:
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation. 1328-1336 - Parikshit Sakurikar, Ishit Mehta, P. J. Narayanan:
Defocus Magnification Using Conditional Adversarial Networks. 1337-1346
Oral Session 4B: Human Motion Analysis/Capture, Vision for Aerial/Drone/Underwater/Ground Vehicles, Vision for Graphics
- Raquel Vidaurre, Dan Casas, Elena Garces, Jorge Lopez-Moreno:
BRDF Estimation of Complex Materials with Nested Learning. 1347-1356 - Max Ferguson, Kincho H. Law:
A 2D-3D Object Detection System for Updating Building Information Models with Mobile Robots. 1357-1365 - Nathaniel Blanchard, Kyle Skinner, Aden Kemp, Walter J. Scheirer, Patrick J. Flynn:
"Keep Me In, Coach!": A Computer Vision Perspective on Assessing ACL Injury Risk in Female Athletes. 1366-1374 - Dongdong Chen, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, Gang Hua:
Gated Context Aggregation Network for Image Dehazing and Deraining. 1375-1383 - Erwin Wu, Hideki Koike:
FuturePose - Mixed Reality Martial Arts Training Using Real-Time 3D Human Pose Forecasting With a RGB Camera. 1384-1392 - Georg Poier, Michael Opitz, David Schinagl, Horst Bischof:
MURAUER: Mapping Unlabeled Real Data for Label AUstERity. 1393-1402 - Mengtian Li, Zhe L. Lin, Radomír Mech, Ersin Yumer, Deva Ramanan:
Photo-Sketching: Inferring Contour Drawings From Images. 1403-1412 - Wei Li, Xiao Xiao, James K. Hahn:
3D Reconstruction and Texture Optimization Using a Sparse Set of RGB-D Cameras. 1413-1422 - Hsu-Kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles:
Action-Agnostic Human Pose Forecasting. 1423-1432 - Rafal Protasiuk, Adel Bibi, Bernard Ghanem:
Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement. 1433-1439 - Robert Krajewski, Tobias Moers, Lutz Eckstein:
VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective. 1440-1448 - Rodrigo Andrade de Bem, Arnab Ghosh, Adnane Boukhayma, Thalaiyasingam Ajanthan, N. Siddharth, Philip H. S. Torr:
A Conditional Deep Generative Model of People in Natural Images. 1449-1458 - Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, Venkatesh Babu Radhakrishnan:
Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold. 1459-1467 - Paritosh Parmar, Brendan Morris:
Action Quality Assessment Across Multiple Actions. 1468-1476 - Aiden Nibali, Zhen He, Stuart Morgan, Luke A. Prendergast:
3D Human Pose Estimation With 2D Marginal Heatmaps. 1477-1485 - Ervin Teng, Bob Iannucci:
Autonomous Curiosity for Real-Time Training Onboard Robotic Agents. 1486-1495 - Sauhaarda Chowdhuri, Tushar Pankaj, Karl Zipser:
MultiNet: Multi-Modal Multi-Task Learning for Autonomous Driving. 1496-1504 - Jangwon Lee, Bardia Doosti, Yupeng Gu, David Cartledge, David J. Crandall, Christopher Raphael:
Observing Pianist Accuracy and Form with Computer Vision. 1505-1513 - Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Guided Image Inpainting: Replacing an Image Region by Pulling Content From Another Image. 1514-1523
Oral Session 5A: Multimedia Applications, Stereo Processing, Virtual & Augmented Reality, Vision Systems & Applications
- Marc Bosch, Kevin Foster, Gordon A. Christie, Sean Wang, Gregory D. Hager, Myron Z. Brown:
Semantic Stereo for Incidental Satellite Images. 1524-1532 - Wenling Shang, Kihyuk Sohn:
Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis. 1533-1542 - Kazuto Ichimaru, Ryo Furukawa, Hiroshi Kawasaki:
CNN Based Dense Underwater 3D Scene Reconstruction by Transfer Learning Using Bubble Database. 1543-1552 - Rito Murase, Yan Zhang, Takayuki Okatani:
Video-Rate Video Inpainting. 1553-1561 - Farzad Toutounchi, Ebroul Izquierdo:
Advanced Super-Resolution Using Lossless Pooling Convolutional Networks. 1562-1568 - Zachary Bessinger, Nathan Jacobs:
A Generative Model of Worldwide Facial Appearance. 1569-1578 - Tsu-Jui Fu, Shao-Heng Tai, Hwann-Tzong Chen:
Attentive and Adversarial Learning for Video Summarization. 1579-1587 - Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong:
Semi-Dense Stereo Matching Using Dual CNNs. 1588-1597 - Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi:
DAC: Data-Free Automatic Acceleration of Convolutional Networks. 1598-1606 - Chengjiang Long, Roddy Collins, Eran Swears, Anthony Hoogs:
Deep Neural Networks in Fully Connected CRF for Image Labeling with Social Network Metadata. 1607-1615 - Carl Ahlberg, Miguel León Ortiz, Fredrik Ekstrand, Mikael Ekström:
Unbounded Sparse Census Transform Using Genetic Algorithm. 1616-1625 - Steven Hickson, Nick Dufour, Avneesh Sud, Vivek Kwatra, Irfan A. Essa:
Eyemotion: Classifying Facial Expressions in VR Using Eye-Tracking Cameras. 1626-1635 - Hemanth Pidaparthy, James H. Elder:
Keep Your Eye on the Puck: Automatic Hockey Videography. 1636-1644 - Pooyan Balouchian, Marjaneh Safaei, Hassan Foroosh:
LUCFER: A Large-Scale Context-Sensitive Image Dataset for Deep Learning of Visual Emotions. 1645-1654 - Md Baharul Islam, Lai-Kuan Wong, Kok-Lim Low, Chee-Onn Wong:
Warping-Based Stereoscopic 3D Video Retargeting With Depth Remapping. 1655-1663 - Asong Tambo, Michael Albright, Scott McCloskey:
Low-and Semantic-Level Cues for Forensic Splice Detection. 1664-1672 - Imran Ahmed, Mark G. Eramian, Ilya Ovsyannikov, William van der Kamp, Karsten Nielsen, Hema Sudhakar Duddu, Arafia Rumali, Steve Shirtliffe, Kirstin Bett:
Automatic Detection and Segmentation of Lentil Crop Breeding Plots From Multi-Spectral Images Captured by UAV-Mounted Camera. 1673-1681 - Jianhui Chen, Keyu Lu, Sijia Tian, James J. Little:
Learning Sports Camera Selection From Internet Videos. 1682-1691 - Aparna Bharati, Daniel Moreira, Joel Brogan, Patricia Hale, Kevin W. Bowyer, Patrick J. Flynn, Anderson Rocha, Walter J. Scheirer:
Beyond Pixels: Image Provenance Analysis Leveraging Metadata. 1692-1702
Oral Session 5B: Gesture Recognition, Large Scale Vision Applications, Segmentation & Grouping
- Adam M. Terwilliger, Garrick Brazil, Xiaoming Liu:
Recurrent Flow-Guided Semantic Forecasting. 1703-1712 - Kerry Halupka, Rahil Garnavi, Stephen Moore:
Deep Semantic Instance Segmentation of Tree-Like Structures Using Synthetic Data. 1713-1722 - Brent Griffin, Jason J. Corso:
Tukey-Inspired Video Object Segmentation. 1723-1733 - Cecilia La Place, Aisha Urooj Khan, Ali Borji:
Segmenting Sky Pixels in Images: Analysis and Comparison. 1734-1742 - Girish Varma, Anbumani Subramanian, Anoop M. Namboodiri, Manmohan Chandraker, C. V. Jawahar:
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments. 1743-1751 - Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim:
CNN-Based Semantic Segmentation Using Level Set Loss. 1752-1760 - Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat:
Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. 1761-1769 - Prashant W. Patil, Subrahmanyam Murala:
FgGAN: A Cascaded Unpaired Learning for Background Estimation and Foreground Segmentation. 1770-1778 - Trung-Nghia Le, Akihiro Sugimoto:
Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation. 1779-1788 - Wei Xiang, Hongda Mao, Vassilis Athitsos:
ThunderNet: A Turbo Unified Network for Real-Time Semantic Segmentation. 1789-1796 - Anoop Cherian, Alan Sullivan:
Sem-GAN: Semantically-Consistent Image-to-Image Translation. 1797-1806 - Avisek Lahiri, Sri Charan Ragireddy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images. 1807-1815 - Heng Fan, Peng Chu, Longin Jan Latecki, Haibin Ling:
Scene Parsing Via Dense Recurrent Neural Networks With Attentional Selection. 1816-1825 - Qinyi Wang, Yexin Zhang, Junsong Yuan, Yilong Lu:
Space-Time Event Clouds for Gesture Recognition: From RGB Cameras to Event Cameras. 1826-1835 - Mina Rezaei, Haojin Yang, Konstantin Harmuth, Christoph Meinel:
Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation. 1836-1845 - Xin Liu, Henglin Shi, Xiaopeng Hong, Haoyu Chen, Dacheng Tao, Guoying Zhao:
Hidden States Exploration for 3D Skeleton-Based Gesture Recognition. 1846-1855 - Gaurav Pandey, Ambedkar Dukkipati:
Learning to Segment With Image-Level Supervision. 1856-1865 - Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman:
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation. 1866-1875 - Pei Guo, Ryan Farrell:
Aligned to the Object, Not to the Image: A Unified Pose-Aligned Representation for Fine-Grained Recognition. 1876-1885
Oral Session 6A: Computational Photography, Human-Computer Interaction, Security/Surveillance
- Si Lu:
Good Similar Patches for Image Denoising. 1886-1895 - Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe:
Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. 1896-1904 - Matt Brown, Keith Fieldhouse, Eran Swears, Paul Tunison, Adam Romlein, Anthony Hoogs:
Multi-Modal Detection Fusion on a Mobile UGV for Wide-Area, Long-Range Surveillance. 1905-1913 - Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Gyroscope-Aided Motion Deblurring with Deep Networks. 1914-1922 - Moriaki Torii, Takahiro Okabe, Toshiyuki Amano:
Multispectral Direct-Global Separation of Dynamic Scenes. 1923-1931 - Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani:
Domain Randomization for Scene-Specific Car Detection and Pose Estimation. 1932-1940 - Xinya Chen, Yanrui Bin, Nong Sang, Changxin Gao:
Scale Pyramid Network for Crowd Counting. 1941-1950 - Radu Tudor Ionescu, Sorina Smeureanu, Marius Popescu, Bogdan Alexe:
Detecting Abnormal Events in Video Using Narrowed Normality Clusters. 1951-1960 - Can Chen, Scott McCloskey, Jingyi Yu:
Analyzing Modern Camera Response Functions. 1961-1969 - Kratika Garg, Nirmala Ramakrishnan, Alok Prakash, Thambipillai Srikanthan, Punit Bhatt:
Rapid Technique to Eliminate Moving Shadows for Accurate Vehicle Detection. 1970-1978 - Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Fast Geometrically-Perturbed Adversarial Faces. 1979-1988 - Masato Tamura, Shota Horiguchi, Tomokazu Murakami:
Omnidirectional Pedestrian Detection by Rotation Invariant Training. 1989-1998 - Ryan Hintze, Bryan S. Morse:
Shadow Patching: Guided Image Completion for Shadow Removal. 1999-2008 - Berk Sevilmis, Benjamin B. Kimia:
Alignment by Composition. 2009-2018 - Furqan Khan, François Brémond:
Cross Domain Residual Transfer Learning for Person Re-Identification. 2019-2028 - Abby Stylianou, Richard Souvenir, Robert Pless:
Visualizing Deep Similarity Networks. 2029-2037 - Hao Xue, Du Huynh, Mark Reynolds:
Location-Velocity Attention for Pedestrian Trajectory Prediction. 2038-2047 - Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu:
Give Me a Hint! Navigating Image Databases Using Human-in-the-Loop Feedback. 2048-2057
Oral Session 6B: Face Processing, Motion Processing
- Dipan K. Pal, Chandrasekhar Bhagavatula, Yutong Zheng, Ran Tao, Marios Savvides:
Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching. 2058-2067 - Li Siyao, Dongwei Ren, Qian Yin:
Understanding Kernel Size in Blind Deconvolution. 2068-2076 - Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz:
A Fusion Approach for Multi-Frame Optical Flow Estimation. 2077-2086 - Vignesh Prasad, Brojeshwar Bhowmick:
SfMLearner++: Learning Monocular Depth & Ego-Motion Using Meaningful Geometric Constraints. 2087-2096 - Parneet Kaur, Hang Zhang, Kristin J. Dana:
Photo-Realistic Facial Texture Transfer. 2097-2105 - Romain Belmonte, Nacim Ihaddadene, Pierre Tirilly, Ioan Marius Bilasco, Chaabane Djeraba:
Video-Based Face Alignment With Local Motion Modeling. 2106-2115 - Liyuan Pan, Yuchao Dai, Miaomiao Liu:
Single Image Deblurring and Camera Motion Estimation With Depth Map. 2116-2125 - Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn:
Fast Face Image Synthesis With Minimal Training. 2126-2136 - Prithviraj Dhar, Carlos Domingo Castillo, Rama Chellappa:
On Measuring the Iconicity of a Face. 2137-2145 - Ha A. Le, Ioannis A. Kakadiaris:
Illumination-Invariant Face Recognition With Deep Relit Face Images. 2146-2155 - Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao:
Multi-Scale Aggregation Network for Direct Face Alignment. 2156-2165 - Talha Ahmad Siddiqui, Samarth Bharadwaj, Shivkumar Kalyanaraman:
A Deep Learning Approach to Solar-Irradiance Forecasting in Sky-Videos. 2166-2174 - Peng Liu, Zheng Zhang, Huiyuan Yang, Lijun Yin:
Multi-Modality Empowered Network for Facial Action Unit Detection. 2175-2184 - Vishwanath Sindagi, Vishal M. Patel:
DAFE-FD: Density Aware Feature Enrichment for Face Detection. 2185-2195 - Si Lu:
High-Speed Video from Asynchronous Camera Array. 2196-2205
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