Wed, Feb 7

Intro; course organization

Wed, Feb 14

Overall view of object recognition

Fei-Fei

Wed, Feb 21

1. Pictorial structure for objects

1. Felzenszwalb et al. IJCV 2005

Bryan

2. Object categ.: the constellation model

2. Fergus et al. IJCV 2006; Fei-Fei et al. PAMI 2006

Fei-Fei

Wed, Feb 28

1. AdaBoosting for face recognition

1. Viola & Jones IJCV 2004

Melissa

2. Sharing features: Joint Boosting

2. Torralba et al. CSAIL Memo 2004

Melissa

Wed, Mar 7

1. Implicit Shape Models for objects

1. Leibe & Schiele 2004

Christine

2. Hierarchical probabilistic model

2. Jin & Geman CVPR 2006

Dmitry

Wed, Mar 14

1. Convolutional NN

1. LeCun et al. 1998

Matt

2. Biologically inspired visual recognition model

2. Serre et al. PAMI 2006

Andy

Wed, Mar 14

1. ImageParsing: hybrid model

1. Tu et al. IJCV 2005

Aleksey

2. ObjCut: segmentation and recognition

2. Kumar et al. CVPR 2005

Bryan

Wed, Apr 4

1. Patch-based segmentation and recognition

1. Boreistein et al. CVPR 2004

Tiffany

2. Epitomes and Jigsaws

2. Jojic et al. ICCV 2003; Kannan et al. NIPS 2006

Zhe

1. SVM: pyramid kernel

1. Grauman & Darrell ICCV 2005; CVPR 2006

Tiffany

2. Tree structure based segmentation and recognition

2. Todorovic & Ahuja CVPR 2006

Brendan

Wed, Apr 18

1. CRF for segmentation

1. Kumar & Hebert ICCV 2003

Richard

2. Layout consistent random field for occluded objects

2. Winn & Shotton CVPR 2006

Corey

Wed, Apr 25

1. Latent Topic Models for objects

1. Sivic et al. ICCV 2005

Richard

2. Nonparametric latent topic model

2. Hoeim et al. ICCV 2005; CVPR 2006

Corey

Wed, May 2

course project presentation

peer reviewed

Tue, May 15

Dean's date

Final project report due