1. Object Classification through Deconvolutional Neural Networks
Student: Carlos Rubiano
Mentor: Oliver Nina

2. Helped High School Students
Helped them with Caffe
Setup Caffe
Showed them how to create a network and then train it
Gave them assistance when needed

3. Aerial View
Classes
Cars
Non-Cars
Size: 24x24
Trained on Caffe
Results: 88%

4. On UT-Interaction Dataset, doing majority voting, classified sequences with 100% accuracy
Chalearn Dataset got 54.55%

5. Working on python predictions file
Refining it
Want to combine various networks
In ensemble fashion using different trained features
Working on custom model by adding dropout to max pooling layers, similar to maxout but faster
Adding RNN for temporal segmentation