Date: Monday, December 12, 2016
Time: 3:30 - 6:30 PM
Location: Hewlett 200
Geometric Concept Acquisition by Deep Reinforcement Learning
Alex Kuefler
Representation Learning for Modeling and Control of Flexible Manipulators
Joey Greer
Deep Learning on Point Sets for 3D Classification and Segmentation
Charles Ruizhongtai Qi
Feedback based Neural Networks
Te-Lin Wu and William Shen
Learning Deep Representations for Human Activity in Video
Shikhar Shrestha
Hidden Cues: Deep Learning for Alzheimer's Disease Classification
Tanya Glozman and Orly Liba
Object Detection without Forgetting
Vishakh Hegde and Manik Dhar
Adding Perceptual Losses of Objects to Fast Style Transfer Networks
Jee Ian Tam
Multi-view Indoor Scene Layout Estimation
Yuanfang Wang
Fast Bilateral Solver for Semantic Video Segmentation
Max Wang and Shannon Kao
Image Denoising with Deep Convolutional Generative Adversarial Networks and Symmetric Connections
Aojia Zhao
Improving Image Classification by Understanding Semantic Hierarchies with Gated CNNs
Lisa Wang and Ajay Sohmshetty
Visualizing and Understanding Stochastic Depth Networks
Russel Kaplan, Raphael Palefsky-Smith, and Liu Jiang
Bottleneck Conditional Density Estimators
Rui Shu
Visual Place Recognition in Changing Environments with Time-Invariant Image Patch Descriptors
Boris Ivanovic