Speakers |
Syllabus |
Titles
& Abstracts |
|
Fine
grained visual category recognition, human-in-the-loop, crowdsourcing,
part and attribute models, cost-effective labeling |
|
|
Online
learning, Continuous Learning, Tracking, Object detection |
|
|
Variational
methods, 3D Recontruction, Optic flow estimation, Image segmentation |
|
|
Domain
adaptation, Fine-grained recognition, and Budgeted recognition |
|
|
Post-processing,
Stabilization, Retargeting, Segmentation |
|
|
3D
reconstruction, Structure and motion, Camera orientation, Image-based
modeling |
|
|
Scene
understanding, Image parsing, Recognition, Nonparametric methods,
Context, Object detection, Segmentation |
|
|
Deep
Learning, Convolutional Networks |
|
|
3D
tracking, Binary descriptors, Descriptor learning, Fast template
matching |
|
|
Fine
grained visual category recognition, human-in-the-loop, crowdsourcing,
part and attribute models, cost-effective labeling |
|
|
Object
class modeling and detection, Human detection, Human pose estimation. |
|
|
Decision
forests, Random forests, Decision trees, Machine learning, Classification,
Regression, Kinect |
|
|
Multiclass
object detection, Scene understanding, Image annotation and collecting
ground truth data |
|
Speakers |
Syllabus |
Titles
& Abstracts |
|
Hands-on
experience with SIFT feature extraction and matching, image indexing
and retrieval, bag-of-visual words, learning of SVMs, and image
categorization. |
|
READING
GROUP (WITH PRIZE!) |
Speakers |
Syllabus |
Titles
& Abstracts |
|