[Work Log] Planning - Spring Interdisciplanry Computational Intelligence Seminar
January 17, 2014
Spring Topics of Interest
Active learning / Deep Learning
- Active Learning of an Action Detector from Untrimmed Videos - Grauman
- A Convex Optimization Framework for Active Learning?
- ImageNet Classification with Deep Convolutional Neural Networks (hinton)
Optimization (not mcmc)
e.g. "relaxation" methods
- Estimating the 3D Layout of Indoor Scenes and its Clutter from Depth Sensors
- Holistic Scene Understanding for 3D Object Detection with RGBD cameras
Scenes and captions
- From Large Scale Image Categorization to Entry-Level Categories - "best paper, iccv 2013"
- NEIL: Extracting Visual Knowledge from Web Data
- A Sentence is Worth a Thousand Pixels
Detection
- HOGgles: Visualizing Object Detection Features
- Finding the Best from the Second Bests -- Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms
Miscellaneous
Latent Data Association: Bayesian Model Selection for Multi-target Tracking - ian reid (possibly of interest to Ernesto?)
Relative Attributes For Large-scale Abandoned Object Detection (Quanfu and Prasad's paper) pdf
Inferring “Dark Matter” and “Dark Energy” from Videos
Schedule
Rough schedule for first 7 weeks
- Practice Talk - Colin
- Practice Talk - Kyle
- Practice talk - Andrew
- Learning TBD (Deep learning or active learning) - Kobus
- Learning TBD - Qiyam
- Fast object segmentation in unconstrained video - Kate?
- (ECCV, no session?)
Remaining order TBD
- Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models - Colin
- Tree Shape Priors with Connectivity Constraints using Convex Relaxation on General Graphs - kyle?
- MCMC Sampling - Jinyan
- TBD - Ernesto
Posted by
Kyle Simek
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