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ORCIDCVPR 2018: Salt Lake City, UT, USA - Workshops
- 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018. Computer Vision Foundation / IEEE Computer Society 2018
Disguised Faces in the Wild
- Vineet Kushwaha, Maneet Singh, Richa Singh
, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Disguised Faces in the Wild. 1-9 - Ankan Bansal, Rajeev Ranjan, Carlos Domingo Castillo, Rama Chellappa:
Deep Features for Recognizing Disguised Faces in the Wild. 10-16 - Naman Kohli, Daksha Yadav, Afzel Noore:
Face Verification With Disguise Variations via Deep Disguise Recognizer. 17-24 - Skand Vishwanath Peri, Abhinav Dhall:
DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild. 25-31 - Kaipeng Zhang, Ya-Liang Chang, Winston H. Hsu:
Deep Disguised Faces Recognition. 32-36 - Evgeny Smirnov, Aleksandr Melnikov, Andrei Oleinik, Elizaveta Ivanova, Ilya Kalinovskiy, Eugene Luckyanets:
Hard Example Mining With Auxiliary Embeddings. 37-46 - Jun Liu, Ajay Kumar:
Detecting Presentation Attacks From 3D Face Masks Under Multispectral Imaging. 47-52
NVIDIA AI City Challenge
- Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu:
The 2018 NVIDIA AI City Challenge. 53-60 - Ming-Ching Chang, Yi Wei, Nenghui Song, Siwei Lyu:
Video Analytics in Smart Transportation for the AIC'18 Challenge. 61-68 - Weitao Feng, Deyi Ji, Yiru Wang, Shuorong Chang, Hansheng Ren, Weihao Gan:
Challenges on Large Scale Surveillance Video Analysis. 69-76 - Jakub Sochor, Jakub Spanhel, Roman Juránek, Petr Dobes, Adam Herout:
Graph@FIT Submission to the NVIDIA AI City Challenge 2018. 77-84 - Tingyu Mao, Wei Zhang, Haoyu He, Yanjun Lin, Vinay Kale, Alexander Stein, Zoran Kostic:
AIC2018 Report: Traffic Surveillance Research. 85-92 - Panagiotis Giannakeris, Vagia Kaltsa, Konstantinos Avgerinakis, Alexia Briassouli, Stefanos Vrochidis, Ioannis Kompatsiaris:
Speed Estimation and Abnormality Detection From Surveillance Cameras. 93-99 - Minh-Triet Tran, Tung Dinh Duy, Thanh-Dat Truong, Vinh Ton-That, Thanh-Nhon Do, Quoc-An Luong, Thanh-An Nguyen, Vinh-Tiep Nguyen, Minh N. Do:
Traffic Flow Analysis With Multiple Adaptive Vehicle Detectors and Velocity Estimation With Landmark-Based Scanlines. 100-107 - Zheng Tang, Gaoang Wang, Hao Xiao, Aotian Zheng, Jenq-Neng Hwang:
Single-Camera and Inter-Camera Vehicle Tracking and 3D Speed Estimation Based on Fusion of Visual and Semantic Features. 108-115 - Honghui Shi, Zhonghao Wang, Yang Zhang, Xinchao Wang, Thomas S. Huang:
Geometry-Aware Traffic Flow Analysis by Detection and Tracking. 116-120 - Chih-Wei Wu, Chih-Ting Liu, Cheng-En Chiang, Wei-Chih Tu, Shao-Yi Chien:
Vehicle Re-Identification With the Space-Time Prior. 121-128 - Jiayi Wei, Jianfei Zhao, Yanyun Zhao, Zhicheng Zhao:
Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling. 129-136 - Amit Kumar, Pirazh Khorramshahi, Wei-An Lin, Prithviraj Dhar, Jun-Cheng Chen, Rama Chellappa:
A Semi-Automatic 2D Solution for Vehicle Speed Estimation From Monocular Videos. 137-144 - Yan Xu, Xi Ouyang, Yu Cheng, Shining Yu, Lin Xiong, Choon-Ching Ng, Sugiri Pranata, Shengmei Shen, Junliang Xing:
Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic Anomaly Detection. 145-152 - Shuai Hua, Manika Kapoor, David C. Anastasiu:
Vehicle Tracking and Speed Estimation From Traffic Videos. 153-160 - Tingting Huang:
Traffic Speed Estimation From Surveillance Video Data. 161-165 - Pedro A. Marín-Reyes, Andrea Palazzi, Luca Bergamini, Simone Calderara, Javier Lorenzo-Navarro, Rita Cucchiara:
Unsupervised Vehicle Re-Identification Using Triplet Networks. 166-171
DeepGlobe: A Challenge for Parsing the Earth through Satellite Images
- Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, Ramesh Raskar:
DeepGlobe 2018: A Challenge to Parse the Earth Through Satellite Images. 172-181 - Lichen Zhou, Chuang Zhang, Ming Wu:
D-LinkNet: LinkNet With Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction. 182-186 - Ryuhei Hamaguchi, Shuhei Hikosaka:
Building Detection From Satellite Imagery Using Ensemble of Size-Specific Detectors. 187-191 - Chao Tian, Cong Li, Jianping Shi:
Dense Fusion Classmate Network for Land Cover Classification. 192-196 - Shubhra Aich, William van der Kamp, Ian Stavness:
Semantic Binary Segmentation Using Convolutional Networks Without Decoders. 197-201 - Tao Sun, Zehui Chen, Wenxiang Yang, Yin Wang:
Stacked U-Nets With Multi-Output for Road Extraction. 202-206 - Alexander Buslaev, Selim S. Seferbekov, Vladimir Iglovikov, Alexey Shvets:
Fully Convolutional Network for Automatic Road Extraction From Satellite Imagery. 207-210 - Oleksandr Filin, Anton Zapara, Serhii Panchenko:
Road Detection With EOSResUNet and Post Vectorizing Algorithm. 211-215 - Jigar Doshi:
Residual Inception Skip Network for Binary Segmentation. 216-219 - Dragos Costea, Alina Marcu, Emil Slusanschi, Marius Leordeanu:
Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks With Smoothing-Based Optimization. 220-224 - Matt Dickenson, Lionel Gueguen:
Rotated Rectangles for Symbolized Building Footprint Extraction. 225-228 - Sergey Golovanov, Rauf Kurbanov, Aleksey Artamonov, Alex Davydow, Sergey I. Nikolenko:
Building Detection From Satellite Imagery Using a Composite Loss Function. 229-232 - Vladimir Iglovikov, Selim S. Seferbekov, Alexander Buslaev, Alexey Shvets:
TernausNetV2: Fully Convolutional Network for Instance Segmentation. 233-237 - Weijia Li, Conghui He, Jiarui Fang, Haohuan Fu:
Semantic Segmentation Based Building Extraction Method Using Multi-Source GIS Map Datasets and Satellite Imagery. 238-241 - Rémi Delassus, Romain Giot:
CNNs Fusion for Building Detection in Aerial Images for the Building Detection Challenge. 242-246 - Kang Zhao, Jungwon Kang, Jaewook Jung, Gunho Sohn:
Building Extraction From Satellite Images Using Mask R-CNN With Building Boundary Regularization. 247-251 - Tzu-Sheng Kuo, Keng-Sen Tseng, Jia-Wei Yan, Yen-Cheng Liu, Yu-Chiang Frank Wang:
Deep Aggregation Net for Land Cover Classification. 252-256 - Arthita Ghosh, Max Ehrlich, Sohil Shah, Larry S. Davis, Rama Chellappa:
Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery. 257-261 - Alexander Rakhlin, Alex Davydow, Sergey I. Nikolenko:
Land Cover Classification From Satellite Imagery With U-Net and Lovasz-Softmax Loss. 262-266 - Mohamed Samy, Karim Amer, Kareem Eissa, Mahmoud Shaker, Mohamed ElHelw:
NU-Net: Deep Residual Wide Field of View Convolutional Neural Network for Semantic Segmentation. 267-271 - Selim S. Seferbekov, Vladimir Iglovikov, Alexander Buslaev, Alexey Shvets:
Feature Pyramid Network for Multi-Class Land Segmentation. 272-275 - Guillem Pascual, Santi Seguí, Jordi Vitrià:
Uncertainty Gated Network for Land Cover Segmentation. 276-279 - Alex Davydow, Sergey I. Nikolenko:
Land Cover Classification With Superpixels and Jaccard Index Post-Optimization. 280-284
Visual Understanding of Humans in Crowd Scene and Look Into Person Challenge
- Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang:
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. 172-178 - Aske R. Lejbølle, Benjamin Krogh, Kamal Nasrollahi, Thomas B. Moeslund:
Attention in Multimodal Neural Networks for Person Re-Identification. 179-187 - Girum G. Demisse, Konstantinos Papadopoulos, Djamila Aouada, Björn E. Ottersten:
Pose Encoding for Robust Skeleton-Based Action Recognition. 188-194 - Diptodip Deb, Jonathan Ventura:
An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting. 195-204 - Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, Bernt Schiele:
Learning to Refine Human Pose Estimation. 205-214 - Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami:
Crowd Activity Change Point Detection in Videos via Graph Stream Mining. 215-223
Deep Learning for Visual SLAM
- Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperPoint: Self-Supervised Interest Point Detection and Description. 224-236 - Emilio Parisotto, Devendra Singh Chaplot, Jian Zhang, Ruslan Salakhutdinov:
Global Pose Estimation With an Attention-Based Recurrent Network. 237-246 - Stefan Milz, Georg Arbeiter, Christian Witt, Bassam Abdallah, Senthil Kumar Yogamani:
Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning. 247-257 - Masaya Kaneko, Kazuya Iwami, Toru Ogawa, Toshihiko Yamasaki, Kiyoharu Aizawa:
Mask-SLAM: Robust Feature-Based Monocular SLAM by Masking Using Semantic Segmentation. 258-266 - Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull:
Geometric Consistency for Self-Supervised End-to-End Visual Odometry. 267-275 - Sungil Choi, Seungryong Kim, Kihong Park, Kwanghoon Sohn:
Learning Descriptor, Confidence, and Depth Estimation in Multi-View Stereo. 276-282 - Arun C. S. Kumar, Suchendra M. Bhandarkar, Mukta Prasad:
DepthNet: A Recurrent Neural Network Architecture for Monocular Depth Prediction. 283-291 - Luis Contreras, Walterio W. Mayol-Cuevas:
Towards CNN Map Representation and Compression for Camera Relocalisation. 292-299 - Arun C. S. Kumar, Suchendra M. Bhandarkar, Mukta Prasad:
Monocular Depth Prediction Using Generative Adversarial Networks. 300-308 - Bo Yang, Zihang Lai, Xiaoxuan Lu, Shuyu Lin, Hongkai Wen, Andrew Markham, Niki Trigoni:
Learning 3D Scene Semantics and Structure From a Single Depth Image. 309-312 - Lachlan Nicholson, Michael Milford, Niko Sünderhauf:
QuadricSLAM: Dual Quadrics As SLAM Landmarks. 313-314
Diff-CVML: Differential Geometry in Computer Vision and Machine Learning
- Hang Shao, Abhishek Kumar, P. Thomas Fletcher:
The Riemannian Geometry of Deep Generative Models. 315-323 - Kyungmin Ahn, J. Derek Tucker, Wei Wu, Anuj Srivastava:
Elastic Handling of Predictor Phase in Functional Regression Models. 324-331 - Maxime Louis, Benjamin Charlier, Stanley Durrleman:
Geodesic Discriminant Analysis for Manifold-Valued Data. 332-340 - Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri:
A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers. 341-348 - Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava:
Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. 349-357 - Justin D. Strait, Sebastian Kurtek, Steven N. MacEachern:
Locally-Weighted Elastic Comparison of Planar Shapes. 358-366 - Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Covariance Pooling for Facial Expression Recognition. 367-374 - Mehran Javanmardi, Ricardo Bigolin Lanfredi, Müjdat Çetin, Tolga Tasdizen:
Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation. 375-382 - Suhas Lohit, Ankan Bansal, Nitesh Shroff, Jaishanker K. Pillai, Pavan K. Turaga, Rama Chellappa:
Predicting Dynamical Evolution of Human Activities From a Single Image. 383-392 - Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu:
Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics. 393-402 - Somenath Das, Suchendra M. Bhandarkar:
Principal Curvature Guided Surface Geometry Aware Global Shape Representation. 403-412
Biometrics
- Yoanna Martínez-Díaz, Heydi Méndez-Vázquez, Leyanis López-Avila, Leonardo Chang, Luis Enrique Sucar, Massimo Tistarelli:
Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database. 413-421 - Yefei Chen, Jianbo Su:
Dict Layer: A Structured Dictionary Layer. 422-431 - Elias N. Zois, Marianna Papagiannopoulou, Dimitrios Tsourounis, George Economou:
Hierarchical Dictionary Learning and Sparse Coding for Static Signature Verification. 432-442 - Mohsen Jenadeleh, Marius Pedersen, Dietmar Saupe:
Realtime Quality Assessment of Iris Biometrics Under Visible Light. 443-452 - Narsi Reddy, Dewan Fahim Noor, Zhu Li, Reza Derakhshani:
Multi-Frame Super Resolution for Ocular Biometrics. 453-461 - Arun Kumar Jindal, Srinivas Chalamala, Santosh Kumar Jami:
Face Template Protection Using Deep Convolutional Neural Network. 462-470 - Ruben Tolosana, Rubén Vera-Rodríguez, Julian Fiérrez, Javier Ortega-Garcia:
Incorporating Touch Biometrics to Mobile One-Time Passwords: Exploration of Digits. 471-478 - Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Identity Aware Synthesis for Cross Resolution Face Recognition. 479-488 - Sivaram Prasad Mudunuri, Soubhik Sanyal, Soma Biswas:
GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition With Generalization to Unseen Categories. 489-498 - Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition. 499-507 - Jude Ezeobiejesi, Bir Bhanu:
Latent Fingerprint Image Quality Assessment Using Deep Learning. 508-516 - Shaan Chopra, Aakarsh Malhotra, Mayank Vatsa, Richa Singh:
Unconstrained Fingerphoto Database. 517-525 - Mustafa Berkay Yilmaz, Kagan Öztürk:
Hybrid User-Independent and User-Dependent Offline Signature Verification With a Two-Channel CNN. 526-534 - Siqi Yang, Arnold Wiliem, Brian C. Lovell:
It Takes Two to Tango: Cascading Off-the-Shelf Face Detectors. 535-543 - Javier Hernandez-Ortega, Julian Fiérrez, Aythami Morales, Pedro Tome:
Time Analysis of Pulse-Based Face Anti-Spoofing in Visible and NIR. 544-552 - Fariborz Taherkhani, Nasser M. Nasrabadi, Jeremy M. Dawson:
A Deep Face Identification Network Enhanced by Facial Attributes Prediction. 553-560 - Yasushi Makihara, Daisuke Adachi, Chi Xu, Yasushi Yagi:
Gait Recognition by Deformable Registration. 561-571 - Daksha Yadav, Naman Kohli, Akshay Agarwal, Mayank Vatsa, Richa Singh, Afzel Noore:
Fusion of Handcrafted and Deep Learning Features for Large-Scale Multiple Iris Presentation Attack Detection. 572-579 - Gee-Sern Jison Hsu, Wen-Fong Huang, Jiunn-Horng Kang:
Hierarchical Network for Facial Palsy Detection. 580-586
Embedded Vision
- Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand, Hong Zhang:
A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving. 587-597 - Nikitha Vallurupalli, Sriharsha Annamaneni, Girish Varma, C. V. Jawahar, Manu Mathew, Soyeb Nagori:
Efficient Semantic Segmentation Using Gradual Grouping. 598-606 - Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato:
IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision. 607-615 - Takayuki Ujiie, Masayuki Hiromoto, Takashi Sato:
Interpolation-Based Object Detection Using Motion Vectors for Embedded Real-Time Tracking Systems. 616-624 - Cevahir Çigla, Rohan Thakker, Larry H. Matthies:
Onboard Stereo Vision for Drone Pursuit or Sense and Avoid. 625-633 - Andre Ivan, Williem, In Kyu Park:
Light Field Depth Estimation on Off-the-Shelf Mobile GPU. 634-643 - Nicholas F. Y. Chen:
Pseudo-Labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection Under Ego-Motion. 644-653 - Cevahir Çigla, Kemal E. Sahin, Fikret Alim:
GPU Based Video Object Tracking on PTZ Cameras. 654-662 - Alexandre Briot, Prashanth Viswanath, Senthil Kumar Yogamani:
Analysis of Efficient CNN Design Techniques for Semantic Segmentation. 663-672 - Pankaj Bhowmik, Md Jubaer Hossain Pantho, Marjan Asadinia, Christophe Bobda:
Design of a Reconfigurable 3D Pixel-Parallel Neuromorphic Architecture for Smart Image Sensor. 673-681 - Paolo Di Febbo, Carlo Dal Mutto, Kinh Tieu, Stefano Mattoccia:
KCNN: Extremely-Efficient Hardware Keypoint Detection With a Compact Convolutional Neural Network. 682-690
New Trends in Image Restoration and Enhancement
- Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. 691-700