Wednesday, March 30, 2016

Fri, April 1st - Exploring Nearest Neighbor Approaches for Image Captioning

Exploring Nearest Neighbor Approaches for Image Captioning. Jacob Devlin, Saurabh Gupta, Ross Girshick, Margaret Mitchell, C Lawrence Zitnick. arXiv, 2015.

arXiv

Naman is also going to discuss a non-baseline version of image captioning: Deep Visual-Semantic Alignments for Generating Image Descriptions.

Wednesday, March 23, 2016

Mon, March 28 - Project status updates

As shown on the course schedule, Monday and Wednesday are our second round of project status updates. The expectation is that you can demonstrate the core technical component of your semester project. You should have real results, although those results may still have issues or you may be using only a portion of the data that you plan to use eventually. A good presentation might demonstrate an implementation of what you proposed earlier, but highlight some unexpected problems revealed by your experiments.

The presentations will be in the reverse order of our first project presentations.

Wednesday, March 16, 2016

Fri, Mar 18 - AverageExplorer

AverageExplorer: Interactive Exploration and Alignment of Visual Data Collections. Jun-Yan Zhu, Yong Jae Lee, Alexei Efros. Siggraph 2014.

project page

Monday, March 14, 2016

Wed, Mar 16 - Learning Visual Similarity for Product Design with Convolutional Neural Networks

Learning Visual Similarity for Product Design with Convolutional Neural Networks. Sean Bell, Kavita Bala. Siggraph 2015.

author page, pdf

Friday, March 11, 2016

Mon, Mar 14 - Unsupervised Visual Representation Learning by Context Prediction

Unsupervised Visual Representation Learning by Context Prediction. Carl Doersch, Abhinav Gupta, Alexei A. Efros. ICCV 2015.

project page

Wednesday, March 9, 2016

Fri, Mar 11 - ResNet

Deep Residual Learning for Image Recognition. Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. MS COCO detection challenge winner 2015.

arXiv

Monday, March 7, 2016

Wed, Mar 9 - Fully Convolutional Networks for Semantic Segmentation

Fully Convolutional Networks for Semantic Segmentation. Jonathan Long, Evan Shelhamer, Trevor Darrell. CVPR 2015.

arXiv

Friday, March 4, 2016

Mon, Mar 7 - Fast R-CNN

Fast R-CNN. Ross Girshick. ICCV 2015.

arXiv, code

Wednesday, March 2, 2016

Fri, Mar 5th - Diagnosing error in object detectors

Diagnosing error in object detectors. Derek Hoiem, Yodsawalai Chodpathumwan, and Qieyun Dai. ECCV 2012.

project page