Deep Learning on Visual Data

 

November 2, 2014

Venue: LT52, Stephen Riady Centre at U Town, NUS (map)

 

At a glance

 

TIME EVENT Room
1:30pm - 1:35pm Opening Talk LT52
1:35pm - 2:25pm Invited Talks LT52
2:25pm - 3:15pm Oral Session LT52
3:15pm - 3:45pm Poster Session and Coffee Break LT52
3:45pm - 4:35pm Invited Talks LT52
4:35pm - 5:05pm Oral Session LT52
5:05pm - 6:30pm Poster Session LT52

 

 

Details

 

TIME PAPER PDF LINK
1:30pm - 1:35pm Opening Talk  
1:35pm - 2:00pm

Invited Talk: Chen Change Loy (CUHK, Hong Kong)

 
2:00pm - 2:25pm

Invited Talk: Yi Li (NICTA, Autralia)

 
2:25pm - 3:15pm

Oral Session

 

Hybrid CNN-HMM Model for Street View House Number Recognition, Qiang Guo, Dan Tu, Guohui Li, Jun Lei

 

View and illumination invariant object classification based on 3D Color Histogram using Convolutional Neural Networks, Earnest Paul Ijjina, Krishna Mohan C

 

Human action recognition using action bank features and convolutional neural networks, Earnest Paul Ijjina, Krishna Mohan C

 

w3-p4.pdf

 

 

w3-p5.pdf

 

 

 

w3-p6.pdf
3:15pm - 3:45pm Poster Session and Coffee Break  
3:45pm - 4:10pm

Invited Talk: Hanlin Goh (Astar, Singapore)

 
4:10pm - 4:35pm

Invited Talk: Cris Jia (University of Macau, Macau)

 
4:35pm - 5:05pm

Oral Session

 

Deep Learning in the EEG Diagnosis of Alzheimer's Disease, Yilu Zhao, Lianghua He

 

Pedestrian Detection with Deep Convolutional Neural Network, Xiaogang Chen, Pengxu Wei, Wei Ke, Qixiang Ye, Jianbin Jiao

 

w3-p7.pdf

 

 

w3-p9.pdf
5:05pm - 6:30pm

Poster Session

 

Hybrid CNN-HMM Model for Street View House Number Recognition, Qiang Guo, Dan Tu, Guohui Li, Jun Lei

 

View and illumination invariant object classification based on 3D Color Histogram using Convolutional Neural Networks, Earnest Paul Ijjina, Krishna Mohan C

 

Human action recognition using action bank features and convolutional neural networks, Earnest Paul Ijjina, Krishna Mohan C

 

Deep Learning in the EEG Diagnosis of Alzheimer's Disease, Yilu Zhao, Lianghua He

 

Pedestrian Detection with Deep Convolutional Neural Network, Xiaogang Chen, Pengxu Wei, Wei Ke, Qixiang Ye, Jianbin Jiao

 

Deep Representations to Model User 'Likes', Sharath Chandra Guntuku, Joey Tianyi Zhou, Sujoy Roy, Weisi Lin, Ivor W. Tsang

 

Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos, Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman

 

Robust Online Visual Tracking with a Single Convolutional Neural Network, Hanxi Li, Yi Li, Fatih Porikli

 

Topic-aware Deep Auto-encoders (TDA) for Face Alignment, Jie Zhang, Meina Kan, Shiguang Shan, Xiaowei Zhao, Xilin Chen

 

Part Detector Discovery in Deep Convolutional Neural Networks, Marcel Simon, Erik Rodner, Joachim Denzler

 

MoNet: A Deep Learning Framework Using Motion Features for Human Pose Estimation, Arjun Jain, Jonathan Tompson, Christoph Bregler

 

3D Human Pose Estimation from Monocular Images with Deep ConvolutionalNeural Network, Sijin LI, Antoni Chan

 

Plant Leaf Identification via A Growing Convolution Neural Network with Progressive Sample Learning, Zhong-Qiu Zhao, Bao-Jian Xie

 

Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis, Mengyi Liu, Shaoxin Li, Shiguang Shan, Ruiping Wang, Xilin Chen

 

Understanding Convolutional Neural Networks in Terms of Category-level Attributes, Makoto Ozeki, Takayuki Okatani

 

Robust Scene Classification with Cross-level LLC Coding on CNN Features, Zequn Jie, Shuicheng Yan

 

Efficient On-the-fly Category Retrieval using ConvNets and GPUs, Ken Chatfield, Karen Simonyan, Andrew Zisserman

 

w3-p4.pdf

 

 

 

w3-p5.pdf

 

 

 

w3-p6.pdf

 

 

 

w3-p7.pdf

 

 

w3-p9.pdf

 

 

 

w3-p10.pdf

 

 

 

w3-p11.pdf

 

 

 

w3-12.pdf

 

 

w3-13.pdf

 

 

 

w3-p14.pdf

 

 

 

w3-p15.pdf

 

 

 

w3-p16.pdf

 

 

w3-p17.pdf

 

 

 

w3-p18.pdf

 

 

 

w3-p19.pdf

 

 

w3-p20.pdf

 

 

w3-p21.pdf