CS 223B Presentation Day
Welcome to the most fun day of the whole course. This is the day where you get to showcase all the effort you have put into the class to the whole of Stanford. We are going to have some cool open track project posters, superb videos of students giving their expert opinion on hollywood shots and, of course, the announcement of winners of the FindMii Challenge. And, oh yeah, there will be balloons!
Logistics
When: Mar 19. 1pm to 3pm
Where: Packard Attrium. Map Link
Highlights
Students Posing as Experts on Hollywood Vision Effects
Created, Acted, Directed and Produced by Students!
The Find Mii Challenge (Course Project) on Wii
"Find Mii" is a game on Nintendo Wii Play. It basically involves identifying certian avatars (Miis) from a bunch of them, standing still or moving around in various styles. If you are not yet proficient in this game, let Elvis show you how to play it in the videos below.
As we know computers are designed to work in certain areas of human endeavor that are not terribly challenging to human intelligence but sometimes beyond human patience. In this course project students programmed the computer to play the game as good as Elvis did.
Open Track Project Posters
Fusing Multi-Channel Cues for Image Organization: Barry Chai
Generalizing ImageNet to SmartPhones: Robert Cosgriff, Dan Goodwin
Efficient Classification and Segmentation of Specular Objects: Aubrey Gress, Salik Syed
Segmentation of Seismic Images: Adam Halpert
Unsupervised Feature Learning of Bi-modal Features: Jiquan Ngiam, Aditya Khosla, Ashish Kulkarni
Scene Classifications: Yongwhan Lim
Learning Visual Invariances from Temporal Data Using Neural Networks: David Kamm
Feature Descriptors for Tiny Image Categorization: Andrew L. Maas
Using Functional Space for Chair Detection: Andy L. Lin, Lisa Nakano
Object Class Recognition using Time Series Classifier Ensembles: Dan Preston, Anand Madhavan
A Feature Tracking Approach to Painted Aperture: Ritvik Mudur, Tyler Mullen
The Retinal Algorithm to Detect and Track Moving Objects with Observer Motion: Neda Nategh
Motion-Sensitive Low-Noise Imaging: Jon Peterson, Brendan Duncan
Sub-meter Indoor Localization in Unmodified Environments with Inexpensive Sensors: Morgan Quigley
Computer-assisted Lucky Imaging: Dmitri Makarov
Motion-Sensitive Low-Noise Imaging: Steven Soneff, Tracy Chou
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities: Bangpeng Yao
Unsupervised Image Segmentation using Deep Belief Nets: Lawrence McAfee
Object Detecting in Images using Time Series Ensemble Methods: Ben Newhouse, Akshay Khothari
Schedule
12:30 - 1:00 Open Track Project Teams set up Posters.
1:00 - 1:15 Find Mii Winners announced. Top Videos from HW1 announced.
1:15 - 2:45 Presentations and Online Voting for Best Open Track Project
2:45 - 3:00 Best Open Track Project Winners Announced
3:00 - ... Spring Break!
Notes
1. Each Open Track project needs to create a poster showcasing their project. Every group will be provided with one styrofoam poster board (20 inches by 30 inches x 3/16 inch) and one collapsable easel. Both poster boards and easels must be returned following the poster session.
2. The winner of the FindMii Challenge will be announced at the start of the presentation session. The winning group will get a chance to show their video results and present their approach at the session. So, be prepared to bring a laptop.
3. We are also going to set up a voting station for the audience to vote on the best open track project! See prizes below.
4. We are also going to pick 4-5 top videos from HW1 that would be played in the atrium during the session.
Prizes
Winner FindMii: $50 Amazon Gift Card
Winner Open Track Audience Poll: $50 Amazon Gift Card
Most Innovative FindMii Project (If Applicable): $25 Amazon Gift Card