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) |
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2:00pm - 2:25pm | Invited Talk: Yi Li (NICTA, Autralia) |
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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) |
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4:10pm - 4:35pm | Invited Talk: Cris Jia (University of Macau, Macau) |
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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
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