Program

  • Keynote:40 minutes + 5 minutes QA
  • Oral: 12 minutes (10 minutes + 2 minutes QA)
  • 11 Jan 2020 14:00-18:00 (Central European Time zone, CET)

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)

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.

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