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Sunday, July 19
12:30-17:15 Registration
17:15-20:30 Opening reception
Monday, July 20
08:30-09:15 Opening talk. Li Fei-Fei, Jianbo Shi, Tieniu Tan, Hongbin
Zha
09:30-11:00 Image Building block: features, detectors, descriptors, and
classifiers. Alex Berg [Download slides]
11:00-11:15 Tea Break
11:15-12:30 Recognizing Patterns, motions, shapes, and people. Alex
Berg (15' Q&A)
12:30-13:45 Student/faculty lunch: introducing each other
13:45-15:45 Dimensionality reduction via subspace learning and
clustering. Yi Ma (30' discussions)
15:45-16:00 Tea Break
16:00-17:15 Error correction in high-dimensional spaces via convex
optimization. Yi Ma (15' Q&A)
18:00-20:30 Student/faculty dinner: social activities
Tuesday, July 21
08:30-10:30 Ensemble discriminative learning. Zhuowen Tu (30'
discussions) [Download slides]
10:30-10:45 Tea Break
10:45-12:00 Supervised and weakly-supervised learning with implicit and
explicit representations. Zhuowen Tu (15' Q&A) [Download
slides]
12:00-13:45 Student/faculty lunch: academic discussions
13:15-15:45 Clustering. Tony Jebara (30' discussions)
15:45-16:00 Tea Break
16:00-17:15 MAP estimation with perfect graphs. Tony Jebara (15' Q&A)
[Download slides]
18:00-20:30 Student/faculty dinner: social activities
Wednesday, July 22
08:30-10:30 Deep learning. Yann LeCun (30' discussions) [Download
slides 1] [Download slides 2]
10:30-10:45 Tea Break
10:45-12:00 Learning visual feature hierarchies. Yann LeCun (15' Q&A)
[Download slides]
12:00-13:45 Student/faculty lunch: academic discussions
13:45-15:45 Object recognition by discriminative methods. Sinisa
Todorovic (30' discussions) [Download slides]
15:45-16:00 Tea Break
16:00-17:15 From hierarchies of regions to image understanding. Sinisa
Todorovic (15' Q&A) [Download slides]
18:00-20:30 Student/faculty dinner: social activities
Thursday, July 23
08:30-10:00 Graph theory. Jianbo Shi (15' Q&A) [Download slides]
10:00-11:00 Graphs, geometry and semi-supervised learning. Mikhail
Belkin (15' Q&A) [Download slides]
11:00-11:15 Tea Break
11:15-12:30 Machine learning for computational regularity and saliency.
Yanxi Liu (15' Q&A) [Download slides]
12:30-17:15 Mini-workshop (lunch included): research in China - industry
and universities
18:00-20:30 Banquet
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Friday, July 24
08:30-10:30 Generative models: BayesNet, topic models. Tamara Berg
(30' discussions) [Download slides]
10:30-10:45 Tea Break
10:45-12:00 Internet vision - words, pictures, and more. Tamara Berg
(15' Q&A) [Download slides]
12:00-13:45 Student/faculty lunch: academic discussions
13:45-15:45 Generative models: Non-parametric models. Eric Xing (30'
discussions) [Download slides]
15:45-16:00 Tea Break
16:00-17:15 Learning sparse, discriminative, structured input/output
model: models, algorithms, and applications. Eric Xing (15'
Q&A) [Download slides]
18:00-20:30 Student/faculty dinner: social activities
Saturday, July 25
08:30-17:15 All-day trip out of Beijing.
18:00-20:30 Student/faculty dinner: social activities
Sunday, July 26
08:30-10:30 Learning structures: AND-OR graphs. Song-Chun Zhu (30'
discussions) [Download slides]
10:30-10:45 Tea Break
10:45-12:00 Top-down/Bottom-up inference in graphs. Song-Chun Zhu
(15' Q&A) [Download slides]
12:00-13:45 Student/faculty lunch: academic discussion
13:45-15:45 Online learning for tracking. Bob Collins (30' discussion)
[Download slides]
15:45-16:00 Tea Break
16:00-17:15 Automated video analysis of crowd behavior. Bob Collins
(15' Q&A)
18:00-20:30 Student/faculty dinner: social activities
Monday, July 27
08:30-10:30 Methods for representing and recognizing 3D objects. Silvio
Savarese [Download slides 1] [Download slides 2]
10:30-10:45 Tea Break
10:45-12:00 Towards total scene understanding. Li Fei-Fei [Download
slides]
12:00-17:15 Mini-workshop (lunch included): summer school course
project presentations
18:00-20:30 Dinner discussion: reflections
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