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 30, 2016
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.
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
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
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
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
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
arXiv
Friday, March 4, 2016
Wednesday, March 2, 2016
Fri, Mar 5th - Diagnosing error in object detectors
project page
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