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ORCID17th ICCV Workshops 2019: Seoul, South Korea
- 2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019. IEEE 2019, ISBN 978-1-7281-5023-9
VisDrone 2019 Workshop
- Junyi Zhang, Junying Huang, Xuankun Chen, Dongyu Zhang:
How to Fully Exploit The Abilities of Aerial Image Detectors. 1-8 - Junyi Zhang, Ziliang Chen, Junying Huang, Liang Lin, Dongyu Zhang:
Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing. 9-17 - Haoyue Bai, Song Wen, S.-H. Gary Chan:
Crowd Counting on Images with Scale Variation and Isolated Clusters. 18-27 - Ding Ma, Xiangqian Wu:
Learning Cascaded Context-Aware Framework for Robust Visual Tracking. 28-36 - Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li:
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications. 37-45 - Håkan Ardö, Mikael G. Nilsson:
Multi Target Tracking from Drones by Learning from Generalized Graph Differences. 46-54 - Wei Ren Tan, Shang-Hong Lai
:
i-Siam: Improving Siamese Tracker with Distractors Suppression and Long-Term Strategies. 55-63 - Haoran Wang, Zexin Wang, Meixia Jia, Aijin Li, Tuo Feng, Wenhua Zhang, Licheng Jiao:
Spatial Attention for Multi-Scale Feature Refinement for Object Detection. 64-72 - Amarjot Singh, Kranthi Kiran G. V., Onkar Harsh, Rishav Kumar, Koushlendra Singh Rajput, Chandra S. S. Vamsi:
Real-Time Aerial Suspicious Analysis (ASANA) System for the Identification and Re-Identification of Suspicious Individuals using the Bayesian ScatterNet Hybrid (BSH) Network. 73-81 - Wenxiang Shen, Pinle Qin, Jianchao Zeng:
An Indoor Crowd Detection Network Framework Based on Feature Aggregation Module and Hybrid Attention Selection Module. 82-90 - Yuan Gao, Chenglong Li, Yabin Zhu, Jin Tang, Tao He, Futian Wang:
Deep Adaptive Fusion Network for High Performance RGBT Tracking. 91-99 - Changrui Chen, Yu Zhang, Qingxuan Lv, Shuo Wei, Xiaorui Wang, Xin Sun, Junyu Dong:
RRNet: A Hybrid Detector for Object Detection in Drone-Captured Images. 100-108 - Wenhua Zhang, Haoran Wang, Zhongjian Huang, Yuxuan Li, Jinliu Zhou, Licheng Jiao:
Accuracy and Long-Term Tracking via Overlap Maximization Integrated with Motion Continuity. 109-117 - Xindi Zhang, Ebroul Izquierdo, Krishna Chandramouli:
Dense and Small Object Detection in UAV Vision Based on Cascade Network. 118-126 - Sungeun Hong, Sungil Kang, Donghyeon Cho:
Patch-Level Augmentation for Object Detection in Aerial Images. 127-134 - Siyang Pan, Zhihang Tong, Yanyun Zhao, Zhicheng Zhao, Fei Su, Bojin Zhuang:
Multi-Object Tracking Hierarchically in Visual Data Taken From Drones. 135-143 - Yong Wang, Lu Ding, Robert Laganière:
Real-Time UAV Tracking Based on PSR Stability. 144-152 - Yong Zhou, Dengqing Tang, Han Zhou, Xiaojia Xiang, Tianjiang Hu:
Vision-Based Online Localization and Trajectory Smoothing for Fixed-Wing UAV Tracking a Moving Target. 153-160 - Weiqiang Li, Jiatong Mu, Guizhong Liu:
Multiple Object Tracking with Motion and Appearance Cues. 161-169 - Han Wu, Xueyuan Yang, Yong Yang, Guizhong Liu:
Flow Guided Short-Term Trackers with Cascade Detection for Long-Term Tracking. 170-178 - Zhaoliang Pi, Yanchao Lian, Xier Chen, Yinan Wu, Yingping Li, Licheng Jiao:
A Novel Spatial and Temporal Context-Aware Approach for Drone-Based Video Object Detection. 179-188 - Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang:
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. 189-198 - Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhenhua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang:
VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. 199-212 - Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong:
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. 213-226 - Pengfei Zhu, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Dawei Du, Jing Ge, Jingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Longyin Wen, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Xiao Bian, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang:
VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results. 227-235
CVWC 2019 Workshop
- Max Bain, Arsha Nagrani, Daniel Schofield, Andrew Zisserman:
Count, Crop and Recognise: Fine-Grained Recognition in the Wild. 236-246 - Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam:
Geo-Aware Networks for Fine-Grained Recognition. 247-254 - Xinyu Yang, Majid Mirmehdi, Tilo Burghardt:
Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending. 255-262 - Matthias Körschens, Joachim Denzler:
ELPephants: A Fine-Grained Dataset for Elephant Re-Identification. 263-270 - Julian Marstaller, Frederic Tausch, Simon Stock:
DeepBees - Building and Scaling Convolutional Neuronal Nets For Fast and Large-Scale Visual Monitoring of Bee Hives. 271-278 - Hongnian Wang, Han Su, Peng Chen, Rong Hou, Zhihe Zhang, Weiyi Xie:
Learning Deep Features for Giant Panda Gender Classification using Face Images. 279-285 - Ning Liu, Qijun Zhao, Nan Zhang, Xinhua Cheng, Jianing Zhu:
Pose-Guided Complementary Features Learning for Amur Tiger Re-Identification. 286-293 - Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell:
A Hybrid Approach to Tiger Re-Identification. 294-301 - Jiwen Yu, Haibo Su, Junnan Liu, Zhizheng Yang, Zhouyangzi Zhang, Yixin Zhu, Lu Yang, Bingliang Jiao:
A Strong Baseline for Tiger Re-ID and its Bag of Tricks. 302-309 - Orest Kupyn, Dmitry Pranchuk:
Fast and Efficient Model for Real-Time Tiger Detection In The Wild. 310-314 - Cen Liu, Rong Zhang, Lijun Guo:
Part-Pose Guided Amur Tiger Re-Identification. 315-322
VRMI 2019 Workshop
- Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan:
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. 323-331 - Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Site Li, Jun Lu:
Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis. 332-341 - Sajid Javed, Arif Mahmood, Naoufel Werghi, Nasir M. Rajpoot:
Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images. 342-351 - Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala:
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. 352-361 - Zhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma:
DeepLIMa: Deep Learning Based Lesion Identification in Mammograms. 362-370 - Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko:
Breast Tumor Cellularity Assessment Using Deep Neural Networks. 371-380 - Mengliu Zhao, Ghassan Hamarneh:
Retinal Image Classification via Vasculature-Guided Sequential Attention. 381-387 - Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. 388-398 - Pablo Laiz, Jordi Vitrià, Santi Seguí:
Using the Triplet Loss for Domain Adaptation in WCE. 399-405 - Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera:
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions. 406-415 - Huan Qi, Sally L. Collins, J. Alison Noble:
UPI-Net: Semantic Contour Detection in Placental Ultrasound. 416-424 - Shohrukh Bekmirzaev, Seoyoung Oh, Sangwook Yoo:
RethNet: Object-by-Object Learning for Detecting Facial Skin Problems. 425-433 - Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung:
Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. 434-439 - Hyebin Lee, Seong Tae Kim, Yong Man Ro:
Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided Diagnosis. 440-449 - Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala:
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. 450-459 - Jaehwan Lee, Donggeun Yoo, Hyo-Eun Kim:
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction. 460-466 - Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition. 467-475 - Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh:
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. 476-484
DFW 2019 Workshop
- Jiankang Deng, Stefanos Zafeiriou:
ArcFace for Disguised Face Recognition. 485-493 - Taewook Kim, Yonghyun Kim, Inhan Kim, Daijin Kim:
BASN: Enriching Feature Representation Using Bipartite Auxiliary Supervisions for Face Anti-Spoofing. 494-503 - Lei Jiang, Xiao-Jun Wu, Josef Kittler:
Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment. 504-513 - Timothy Zee, Geeta Gali, Ifeoma Nwogu:
Enhancing Human Face Recognition with an Interpretable Neural Network. 514-522 - Quanxue Gao, Jiafeng Cheng, De-Yan Xie, Pu Zhang, Wei Xia, Qianqian Wang:
Tensor Linear Regression and Its Application to Color Face Recognition. 523-531 - Arulkumar Subramaniam, Ajay Narayanan Sridhar, Anurag Mittal:
Feature Ensemble Networks with Re-Ranking for Recognizing Disguised Faces in the Wild. 532-541 - Maneet Singh, Mohit Chawla, Richa Singh, Mayank Vatsa, Rama Chellappa:
Disguised Faces in the Wild 2019. 542-550 - Evgeny Smirnov, Andrei Oleinik, Aleksandr Lavrentev, Elizaveta Shulga, Vasiliy Galyuk, Nikita Garaev, Margarita Zakuanova, Aleksandr Melnikov:
Face Representation Learning using Composite Mini-Batches. 551-559
RSL-CV 2019 Workshop
- Maren Awiszus, Hanno Ackermann, Bodo Rosenhahn:
Learning Disentangled Representations via Independent Subspaces. 560-568 - Sami Sebastian Brandt, Hanno Ackermann, Stella Grasshof:
Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis. 569-578 - Björn Browatzki, Christian Wallraven:
Robust Discrimination and Generation of Faces using Compact, Disentangled Embeddings. 579-588 - Lei He, Hongwei Yang, Lina Zhao:
Tensor Subspace Learning and Classification: Tensor Local Discriminant Embedding for Hyperspectral Image. 589-598 - Taehyeon Kim, Jieun Lee, Yoonsik Choe:
Tensor Train Decomposition for Efficient Memory Saving in Perceptual Feature-Maps. 599-604 - Sajid Javed, Jorge Dias, Naoufel Werghi:
Low-Rank Tensor Tracking. 605-614 - Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Structuring Autoencoders. 615-623 - Kewei Tang, Kaiqiang Xu, Zhixun Su, Wei Jiang, Xiaonan Luo, Xiyan Sun:
Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering. 624-632 - Junghoon Seo, Jamyoung Koo, Taegyun Jeon:
Deep Closed-Form Subspace Clustering. 633-642 - Kyle Gilman, Laura Balzano:
Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation. 643-651 - Hiroki Hiraoka, Atsushi Imiya:
Topological Labelling of Scene using Background/Foreground Separation and Epipolar Geometry. 652-660 - Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung:
Complete Moving Object Detection in the Context of Robust Subspace Learning. 661-668 - Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal:
Classifying and Comparing Approaches to Subspace Clustering with Missing Data. 669-677 - Connor Lane, Benjamin D. Haeffele, René Vidal:
Adaptive Online k-Subspaces with Cooperative Re-Initialization. 678-688
YouTube-VOS 2019 Workshop
- Zhishan Zhou, Lejian Ren, Pengfei Xiong, Yifei Ji, Peisen Wang, Haoqiang Fan, Si Liu:
Enhanced Memory Network for Video Segmentation. 689-692 - Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Wenyu Liu, Xinggang Wang:
Motion-Guided Spatial Time Attention for Video Object Segmentation. 693-696 - Zongxin Yang, Peike Li, Qianyu Feng, Yunchao Wei, Yi Yang:
Going Deeper Into Embedding Learning for Video Object Segmentation. 697-700 - Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang:
Towards Good Practices for Video Object Segmentation. 701-704 - Jonathon Luiten, Paul Voigtlaender, Bastian Leibe:
Exploring the Combination of PReMVOS, BoLTVOS and UnOVOST for the 2019 YouTube-VOS Challenge. 705-708 - Jonathon Luiten, Philip H. S. Torr, Bastian Leibe:
Video Instance Segmentation 2019: A Winning Approach for Combined Detection, Segmentation, Classification and Tracking. 709-712 - Qiang Wang, Yi He, Xiaoyun Yang, Zhao Yang, Philip H. S. Torr:
An Empirical Study of Detection-Based Video Instance Segmentation. 713-716 - Qianyu Feng, Zongxin Yang, Peike Li, Yunchao Wei, Yi Yang:
Dual Embedding Learning for Video Instance Segmentation. 717-720 - Minghui Dong, Jian Wang, Yuanyuan Huang, Dongdong Yu, Kai Su, Kaihui Zhou, Jie Shao, Shiping Wen, Changhu Wang:
Temporal Feature Augmented Network for Video Instance Segmentation. 721-724 - Xiaoyu Liu, Haibing Ren, Tingmeng Ye:
Spatio-Temporal Attention Network for Video Instance Segmentation. 725-727
SDL-CV 2019 Workshop
- Qiyu Liao, Dadong Wang, Hamish Holewa, Min Xu:
Squeezed Bilinear Pooling for Fine-Grained Visual Categorization. 728-732 - Wei Shen, Fei Li, Rujie Liu:
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks. 733-737 - Lei Zhao, Lei Huang:
Exploring Dynamic Routing As A Pooling Layer. 738-742 - Mara Graziani, Henning Müller, Vincent Andrearczyk:
Interpreting Intentionally Flawed Models with Linear Probes. 743-747 - Amal Rannen-Triki, Maxim Berman, Vladimir Kolmogorov, Matthew B. Blaschko:
Function Norms for Neural Networks. 748-752 - Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh:
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? 753-757 - Adar Elad, Doron Haviv, Yochai Blau, Tomer Michaeli:
Direct Validation of the Information Bottleneck Principle for Deep Nets. 758-762 - Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes:
Lautum Regularization for Semi-Supervised Transfer Learning. 763-767 - Zhihang Hu, Jason Tsong-Li Wang:
A Novel Adversarial Inference Framework for Video Prediction with Action Control. 768-772 - Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks. 773-777 - Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Chen Feng, Xiaoming Liu:
UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss. 778-782 - Yury Gorbachev, Mikhail Fedorov, Iliya Slavutin, Artyom Tugarev, Marat Fatekhov, Yaroslav Tarkan:
OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference. 783-787 - Kang Min Yoo, Hyun Soo Jo, Hanbit Lee, Jeeseung Han, Sang-goo Lee:
Stochastic Relational Network. 788-792 - Matteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman:
On the Geometry of Rectifier Convolutional Neural Networks. 793-797 - Sambuddha Saha, Aashish Kumar, Pratyush Sahay, George Jose, Srinivas S. Kruthiventi, Harikrishna Muralidhara:
Attack Agnostic Statistical Method for Adversarial Detection. 798-802
CVRSUAD 2019 Workshop
- Danila Rukhovich, Daniel Mouritzen, Ralf Kaestner, Martin Rufli, Alexander Velizhev:
Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data. 803-812 - Lukas Hoyer, Patrick Kesper, Anna Khoreva, Volker Fischer:
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. 813-821 - Max Coenen, Franz Rottensteiner:
Probabilistic Vehicle Reconstruction Using a Multi-Task CNN. 822-831 - Karsten Behrendt, Ryan Soussan:
Unsupervised Labeled Lane Markers Using Maps. 832-839 - Karsten Behrendt:
Boxy Vehicle Detection in Large Images. 840-846 - Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek:
ShelfNet for Fast Semantic Segmentation. 847-856 - Xinshuo Weng, Kris Kitani:
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud. 857-866 - Liat Sless, Bat El Shlomo, Gilad Cohen, Shaul Oron:
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation. 867-875 - Jee-Young Sun, Seung-Wook Kim, Sang-Won Lee, Ye-Won Kim, Sung-Jea Ko:
Reverse and Boundary Attention Network for Road Segmentation. 876-885 - Minjie Hua, Yibing Nan, Shiguo Lian:
Small Obstacle Avoidance Based on RGB-D Semantic Segmentation. 886-894 - Hichem Abdellali, Robert Frohlich, Zoltan Kato:
Robust Absolute and Relative Pose Estimation of a Central Camera System from 2D-3D Line Correspondences. 895-904 - Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. 905-913 - Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. 914-923 - Bence Major, Daniel Fontijne, Amin Ansari, Ravi Teja Sukhavasi, Radhika Gowaiker, Michael Hamilton, Sean Lee, Slawomir K. Grzechnik, Sundar Subramanian:
Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors. 924-932