Keynote Talk

There are no other sessions during the keynote talk. Students are welcome to attend.

Title: Tackling Gradient Issue in Generative Adversarial Networks [slides]

Speaker: Yanran Li, The Hong Kong Polytechnic University.
Time and venue: SHB TY Wong Hall, 10:00 - 11:00 am.

Poster

Venue: Reading Room, 6F, SHB
Each student is assigned with a two-hour poster discussion. Please find your time accordingly.
The poster session is designed to have others interested in your project come to the booth and discuss with you.

Presentation

Venue: Lecture Theater, ERB
Each student has 4-minute presentation plus an (optionally) 1-minute Q&A.
Thus, the length of your slides should *NOT* exceed 10 pages.

There are four presentation sessions generally divided by project topics:
* Rereshments will be served in the Reading Room (SHB 6F) during coffee break.
* Some students choose not to disclose their paper and/or poster on the website.
* TAiC = TA-in-charge, who supervised the student along the project.
* Hightlight and finalist projects are marked as highlight and finalist, respectively.
TimeSessionNameTitle
09:01 - 09:07 1 Jingchuan XU Recognizing Different Sign Language with Deep Learning TAiC: Kai Kang
[paper] [poster] [slides]
09:08 - 09:14 1 Xinxin ZHANG Learning based image registration TAiC: Wei Yang
09:15 - 09:21 1 Xintao WANG Semantically Image Super-Resolution TAiC: Wei Yang
09:22 - 09:28 1 Ran WANG Protein-Ligand Binding Affinity Prediction Using 3D Convolutional Neural Network TAiC: Hongyang
[paper] [poster] [slides]
09:29 - 09:35 1 Wai Ho CHAK Learning 3D Shape Classification on Normal Featured Convnet TAiC: Tong Xiao
[paper] [poster] [slides]
09:36 - 09:42 1 Di QIU Deep Compression of Faster R-CNN Model TAiC: Wei Yang
[paper] [poster] [slides]
09:43 - 09:49 1 Dehua TAO Person Re-identification in the Video TAiC: Tong Xiao
[paper] [poster] [slides]
09:50 - 09:56 1 Yuxin SHI Image Style Transfer TAiC: Wei Yang
[paper] [poster] [slides]
Coffee break Around 9:30, Reading Room, 6F SHB
Keynote 10:00 - 11:00, T.Y. Wong Hall, SHB
11:08 - 11:14 1 Lingcao HUANG Building Footprints Extraction from High-resolution Remote Sensing Images Based on DeepLab TAiC: Wei Yang
[poster] [slides]
11:15 - 11:21 1 Xiaowei HU Scale-Insensitive Network for Fast Object Detection TAiC: Xiao Chu
11:22 - 11:28 1 Xianzhi LI A Deep Learning Scheme for MI-EEG Classification based on LSTM-RNN: A Preliminary Study TAiC: Xiao Chu
11:29 - 11:35 1 Liliang REN Recurrent Soft Attention Model for Common Object Recognition TAiC: Tong Xiao
[poster] [slides]
11:36 - 11:42 1 Kun WANG Object Detection with Hierarchical Fully-connected Conditional Random Fields TAiC: Kai Kang
[paper] [poster] [slides]
11:43 - 11:49 1 Shilin HE D-lead: Deep Log Embedding Anomaly Detection TAiC: Tong Xiao
[poster] [slides]
11:50 - 11:56 1 Danny HO Controlling Lunar Lander by Deep Reinforcement Learning TAiC: Hongyang
[poster] [slides]
11:57 - 12:03 2 Zhizhong LI Geometric View of GAN and Visualization TAiC: Xiao Chu
[paper] [poster] [slides]
12:04 - 12:10 2 Pengpeng LIU 2D to 3D: Predicting 3D information from a single RGB image TAiC: Tong Xiao
12:11 - 12:17 2 Zhibo ZHU Research On Stacked Hourglass Structure in Human Pose estimation TAiC: Xiao Chu
[paper] [poster] [slides]
12:18 - 12:24 2 Zhou FANG Human Pose estimation in Video TAiC: Wei Yang
[poster] [slides]
12:25 - 12:31 2 Qinghua DING Understanding Human Activity via Pose Estimation TAiC: Wei Yang
12:32 - 12:38 2 Hao CHEN Deep Face Recognition TAiC: Tong Xiao
12:39 - 12:45 2 Yinpeng GUO Complex Evolutionary Neural Networks for Natural Language Model TAiC: Xiao Chu
[poster] [slides]
12:46 - 12:52 2 Jian ZHANG Exploring Image Generating Effects of DCGAN and WGAN by Face Generators TAiC: Tong Xiao
[poster] [slides]
12:53 - 12:59 2 Chenye GUAN Automatic Video Monitoring TAiC: Hongyang
[paper] [poster] [slides]
12:60 - 13:06 2 Kai CHEN Discover and Learn New Objects from Documentaries TAiC: Kai Kang
13:07 - 13:13 2 Qingqiu HUANG From Trailers to Storylines: An Efficient Way to Learn from Movies TAiC: Tong Xiao
[poster] [slides]
13:14 - 13:20 2 Yikang LI Scene Graph Generation from Objects, Phrases and Caption Regions TAiC: Xiao Chu
13:21 - 13:27 2 Yining LI Learning to Disambiguate by Asking Discriminative Questions TAiC: Tong Xiao
[poster] [slides]
13:28 - 13:34 2 Xin XU Image captioning and soft attention TAiC: Hongyang
[paper] [poster] [slides]
Lunch 13:30 - 14:30
14:31 - 14:37 3 Xi FU Exploring Deep Learning on FANTOM5 Data TAiC: Hongyang
[poster] [slides]
14:38 - 14:44 3 Han WANG Playing TORCS with Deep Determinisitc Policy Gradient TAiC: Hongyang
[paper] [poster] [slides]
14:45 - 14:51 3 Haoyu YANG Fully Convolutional Neural Networks for Layout Hotspot Detection TAiC: Kai Kang
[paper] [poster] [slides]
14:52 - 14:58 3 Weiwen LIU A Personalized Recommender System based on Deep Learning TAiC: Kai Kang
[poster] [slides]
14:59 - 15:05 3 Yuqi LIU A Mobile Application for the Visually Impaired Based on Deep Learning TAiC: Kai Kang
[paper] [poster] [slides]
15:06 - 15:12 3 Yantao SHEN Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals TAiC: N/A
[paper] [poster] [slides]
15:13 - 15:19 3 Jie CHEN Adversarial Learning for Super-Resolution TAiC: Tong Xiao
[paper] [poster] [slides]
15:20 - 15:26 3 Huangjing LIN ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection TAiC: Tong Xiao
[poster] [slides]
15:27 - 15:33 3 Xi WANG Mitosis Detection in Breast Cancer Histology Image TAiC: Tong Xiao
15:34 - 15:40 3 Xiaoxiao LI Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade TAiC: N/A
[paper] [poster] [slides]
15:41 - 15:47 3 Xiangyu LIU Mathematical Expression Recognition by Recurrent Neural Networks TAiC: Xiao Chu
[paper] [poster] [slides]
15:48 - 15:54 3 Yi LI Deep Reinforcement Learning with Recurrent Convolutional Networks TAiC: Hongyang
[paper] [poster] [slides]
15:55 - 16:01 3 Yuqi FANG Feature Extraction and Prediction of Motion-related EEG Based on Deep Neural Network: a novel method of signal processing TAiC: Wei Yang
[paper] [poster] [slides]
16:02 - 16:08 3 Xubo LENG Classification of EEG During Motor Imagery Tasks Using Time-domain Generative LSTM and Topology-preserving CNN TAiC: Kai Kang
[paper] [poster] [slides]
Coffee break Around 16:00, Reading Room, 6F SHB
16:23 - 16:29 4 Shuaijun LI Vehicle localization based on Fine-grained Vehicle Model Classification TAiC: Xiao Chu
16:30 - 16:36 4 Tsz Kin TSE Generating Motif by Recurrent Neural Network TAiC: Hongyang
[poster] [slides]
16:37 - 16:43 4 Jiarui WANG Deep Neural Network for Speaker Verification TAiC: Hongyang
[paper] [poster] [slides]
16:44 - 16:50 4 Wang CHEN Adding Secondary Information into Deep Neural Network for Knowledge Tracing TAiC: Hongyang
[poster] [slides]
16:51 - 16:57 4 Shuiyang MAO Sentiment Analysis with Parallel Combination of LSTM and CNN TAiC: Hongyang
16:58 - 17:04 4 Sijie YAN Unconstrained Fashion Landmark Detection TAiC: N/A
[paper] [poster] [slides]
17:05 - 17:11 4 Jinkai YU Quora Duplicate Question Pairs Detection TAiC: Kai Kang
[paper] [poster] [slides]
17:12 - 17:18 4 Haozhi LIN Duplicate questions discovery in Quora using deep neural network TAiC: Wei Yang
[paper] [poster] [slides]
17:19 - 17:25 4 Minhao LIU Deep Learning Applied to Surface Electromyography Data Classification TAiC: Xiao Chu
[poster] [slides]
17:26 - 17:32 4 Yuqi ZHANG Visual Relationship Detection TAiC: Xiao Chu
[paper] [poster] [slides]
17:33 - 17:39 4 Yue WANG A Study of Image Style Transfer TAiC: Wei Yang
[paper] [poster] [slides]
17:40 - 17:46 4 Yuzhong WU Attention Network for Acoustic Scene Classification TAiC: Xiao Chu
17:47 - 17:53 4 Shuai LI Akid: A Neural Network Library From Dataism Approach TAiC: N/A
17:54 - 18:00 4 Shuang LI Person Search with Natural Language Description TAiC: N/A
[paper] [poster] [slides]
The following projects have been presented earlier to the course staff (posters will appear in the symposium).

Yubin Deng Image Enhancement with Generative Adversarial Networks TAiC: N/A [paper] [poster] [slides]
Michael Wolf Train the Perfect Tic Tac Toe Player Using Neural Networks TAiC: Kai Kang [paper] [poster] [slides]