Code, Data & Notes
A guideline document on various tools useful in research.
Check-lists for manuscripts and presentations.
Suggested readings for graduate students
How to write a first-class paper.
How to (seriously) read a scientific paper.
Novelist Cormac McCarthy’s tips on how to write a great science paper.
On sticking to deadlines.
Standalone utility scripts and system configuration notes.
Tools to automatically generate bibliography in various formats (HTML, TEX, etc) from text-based records.
Paper code and data
For most of my publications, code/data can be found on the
page. Below are some quick links.
The code for window refinement, from our TPAMI'17 paper "Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning".
MaskFishDet: The code for our ICCV'13 paper Segmentation Driven Object Detection with Fisher Vectors.
The code for our TPAMI'15 paper (
Approximate Fisher Kernels of non-iid Image Models for Image Categorization
) and CVPR'12 paper (
Image categorization using Fisher kernels of non-iid image models
The dataset and face track annotations used in our ICCV'11 paper
"Unsupervised Metric Learning for Face Identification in TV Video"
Basic Image Classifier Example using Caffe.
A multi-processing package for Matlab.