To be held in conjunction with the 25th International Conference on Pattern Recognition ICPR 2020, Milan, Italy
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Time |
Title |
Presenter |
|
14:00-14:45 "Keynote" |
Do We Really Need Ground Truths to Evaluate A Model? [Slides] |
Liang Zheng (Australian National University) |
|
14:45-14:57 |
Recurrent Graph Convolutional Network for Skeleton-Based Abnormal Driving Behavior Recognition |
Shun Wang, Fang Zhou, Song-Lu Chen and Chun Yang |
|
14:57-15:09 |
Supervised Autoencoder Variants for End to End Anomaly Detection |
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa and Christian Bauckhage |
|
15:09-15:21 |
Fuzzy-based Pseudo Segmentation Approach for Handwritten Word Recognition using a Sequence to Sequence Model with Attention |
Rajdeep Bhattacharya, Samir Malakar, Friedhelm Schwenker and Ram Sarkar |
|
15:21-15:33 |
Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images |
Parham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-Shahrebabak, Roshanak Roshandel, Pejman Khadivi, Nader Karimi and Shadrokh Samavi |
|
15:33-15:45 |
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences |
Behnaz Rezaei, Amirreza Farnoosh and Sarah Ostadabbas |
|
15:45-15-57 |
Tracker Evaluation for Small Object Tracking |
Chang Liu, Linlin Yang, Chunlei Liu and Baochang Zhang |
|
15:57-16:09 |
DepthOBJ: a syntethic dataset for 3D mesh model retrieval |
Francesco Carrabino and Lauro Snidaro |
|
Coffee Break (20 minutes) |
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|
16:29-16:41 |
GFTE: Graph-based Financial Table Extraction |
Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye and Xianhui Liu |
|
16:41-16:53 |
Relative Attribute Classification with Deep-RankSVM |
Sara Atito Ali Ahmed and Berrin Yanikoglu |
|
16:53-17:05 |
Adversarial Continuous Learning in Unsupervised Domain Adaptation |
Youshan Zhang and Brian Davison |
|
17:05-17:17 |
A survey of Deep Learning based Fully Automatic Bone Age Assessment Algorithms |
Yang Jia, Hanrong Du, Haijuan Wang, Weiguang Chen, Xiaohui Jin, Wei Qi, Bin Yang and Qiujuan Zhang |
|
17:17-17:29 |
Unsupervised Real-World Super-Resolution using Variational Auto-Encoder And Generative Adversarial Network |
Kalpesh Prajapati, Vishal Chudasama, Heena Patel, Kishor Upla, Raghavendra Ramachandra, Kiran Raja and Christoph Busch. |
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17:29-17:41 |
Training of Multiple and Mixed Tasks With A Single Network Using Feature Modulation |
Mana Takeda, Gibran Benitez-Garcia and Keiji Yanai |
|
17:41-17:53 |
Deep Image Clustering Using Self-Learning Optimization in a Variational Auto-Encoder |
Duc Hoa Tran, Farida Cheriet and Michel Meunier |