Weekly Topics for the Vision Group Seminar
Spring 2018
CSB-210
Week 1 (Jan 29): Introductions and Orientation to the Group
Week 2 (Feb 5): Live CwC demo at CSB445 for naive and expert users
Week 3 (Feb 12): Paper presentation on Generative Adversarial Network by Jason Yu.
Recommended reading:
Goodfellow et al. “Generative Adversarial Nets”. arXiv, 2014.
Goodfellow I. “NIPS 2016 Tutorial:Generative Adversarial Networks”. arXiv, 2017.
Week 4 (Feb 19): Paper presentation on gesture and speech by Rahul Bangar.
Recommended reading:
Wagner et al. “Gesture and speech in interaction: An overview”. Speech Communication, 2014
Week 5 (Feb 26): Paper presentation on optimization methods for deep learning by Swetha Varadarajan
Recommended reading:
Le et al. “On Optimization Methods for Deep Learning”. ICML'11, 2011.
Week 6 (Mar 5): A practical example of using tensorflow, particularly distributed tensorflow, to analyze big data
by Steve Kommrusch
Recommended reading:
http://www.cs.colostate.edu/~steveko/wp/projects/TensorFlowDriveProject.pdf
Week 7 (Mar 12): Spring break; no meeting
Week 8 (Mar 19): meeting cancelled
Week 9 (Mar 26): Research progress presented by Dhruva Patil
Week 10 (Apr 2): Paper presentation on prosody by Rahul Bangar.
Recommended reading:
Wagner et al. “Experimental and theoretical advances in prosody: A review”. LANGUAGE AND COGNITIVE PROCESSES, 2010
Week 11 (Apr 9): Paper presentation on evolving deep neural network by Swetha Varadarajan.
Recommended reading:
Miikkulainen et al. “Evolving Deep Neural Networks”. ArXiv, 2017.
Week 12 (Apr 16): Paper presentation on generalized curvature and motion segmentation.
Recommended reading: http://www.cs.colostate.edu/~prady/Papers/Motion.pdf
Week 13 (Apr 23): Guest talk on Grounded Linguistic Interaction in Multimodal Environments by Nikhil
Krishnaswamy.