2018 Spring

Reading Group Schedule

Date	Presenter	Topic
01/23	Sanket Lokegaonkar	[Sabour et al. NIPS 2017] Dynamic routing between capsules (slides)
01/30	Yuliang Zou	[Ulyanov et al. arXiv 2017] Deep Image Prior (slides)
02/06	Badour AlBahar	[Sevilla-Lara et al. arXiv 2017] On the Integration of Optical Flow and Action Recognition (slides)
02/13	Jinwoo Choi	[Xie et al. arXiv 2017] Rethinking Spatiotemporal Feature Learning For Video Understanding (slides)
02/20	Qing Sun	Connecting Vision and Language: From VQA to Embodied QA [Antol et al. ICCV 2015] [Das et al. CVPR 2017] [Das et al. CVPR 2018]
02/27	Chen Gao	[Xue et al. SIGGRAPH 2015] A Computational Approach for Obstruction-Free Photography
03/06	-	No meeting - Spring Break
03/13	-	No meeting - ECCV 2018
03/20	-	No meeting - ECCV 2018
03/27	Xiaolong Li	[Sermanet et al. arXiv 2017] Time-Contrastive Networks: Self-Supervised Learning from Video (slides)
04/03	Sanket Lokegaonkar	[Andrychowicz et al. NIPS 2016] Learning to learn by gradient descent by gradient descent (slides)
04/10	Yuliang Zou	[Hu et al. CVPR 2018] Learning to Segment Everything (slides)
04/17	-	No meeting
04/24	-	No meeting - BMVC 2018
05/01	-	No meeting - BMVC 2018
05/08	Sanket Lokegaonkar	(1-2PM) M.S. Thesis Defense - Continual Learning for Deep Dense Prediction
05/09	Badour AlBahar	(1-2PM) M.S. Thesis Defense - Im2vid: Future Video Prediction for Static Image Action Recognition

Date	Instructor	Topic
03/28	"Justin Johnson"	CS231n Spring 2018: Lecture 10 - Recurrent Neural Networks (link)
04/04	"Justin Johnson"	CS231n Spring 2018: Lecture 11 - Detection and Segmentation (link)
04/11	"Justin Johnson"	CS231n Spring 2018: Lecture 12 - Visualizing and Understanding (link)
04/18	"Serena Yeung"	CS231n Spring 2018: Lecture 13 - Generative Models (link)
04/25	"Serena Yeung"	CS231n Spring 2018: Lecture 14 - Deep Reinforcement Learning (link)
05/02	"Ian Goodfellow"	CS231n Spring 2018: Lecture 16 - Adversarial Examples and Adversarial Training (link)