2014 Autumn Schedule
2014.09.22
(1) CACM, 2012, Probabilistic topic models, Paper
2014.09.09
(1) CVPR, 2009, Describing Objects by their Attributes, Paper
(2) CVPR, 2009, Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer, Paper
(3) ICCV, 2011, Relative Attributes, Paper
(4) ECCV, 2012, Attributes for Classifier Feedback, Paper
(5) CVPR, 2012, WhittleSearch: Image Search with Relative Attribute Feedback, Paper
(6) ICCV, 2013, Spoken Attributes:Mixing Binary and Relative Attributes to Say the Right Thing, Paper
(7) PAMI, 2014, Attribute-Based Classification for Zero-Shot Visual Object Categorization, Paper
2014.09.01
Supplementary paper: ECCV, 2014, Visualizing and Understanding convolutional Neural Networks, Paper
2014.08.25
- [Classification] Machine Learning Basis: topic model (LHH)
(1) CACM, 2012, Probabilistic topic models, Paper
- [Filtering] Rolling Guidance Filter
2014.09.09
- [Tracking] Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
- [Classification] Review of attribute-based image classification (LDH)
(1) CVPR, 2009, Describing Objects by their Attributes, Paper
(2) CVPR, 2009, Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer, Paper
(3) ICCV, 2011, Relative Attributes, Paper
(4) ECCV, 2012, Attributes for Classifier Feedback, Paper
(5) CVPR, 2012, WhittleSearch: Image Search with Relative Attribute Feedback, Paper
(6) ICCV, 2013, Spoken Attributes:Mixing Binary and Relative Attributes to Say the Right Thing, Paper
(7) PAMI, 2014, Attribute-Based Classification for Zero-Shot Visual Object Categorization, Paper
2014.09.01
- [Classification] ImageNet Classification with Deep Convolutional Neural Networks
Supplementary paper: ECCV, 2014, Visualizing and Understanding convolutional Neural Networks, Paper
- [Filtering] Bilateral Texture Filtering
2014.08.25
- [Tracking] Fast Visual Tracking via Dense Spatio-temporal Context Learning
- [Classification] Predicting User Annoyance Using Visual Attributes