Minh Hoai Nguyen – Software and Datasets

  • DM-Count: Github

    • A method for crowd counting based on Optimal Transport loss

  • Coco-Search18: Project Page

    • COCO-Search18 is a laboratory-quality dataset of goal-directed behavior large enough to train deep-network models. It consists of the eye gaze behavior from 10 people searching for each of 18 target-object categories in 6202 natural-scene images, yielding about 300,000 search fixations.

  • Microwave-Clock Search Dataset: Project Page

    • Eye gaze dataset of search behavior for two search targes: Microwave and Clocks. The dataset contains 2183 images, each is viewed by at least 30 human participants.

  • Hand detector, TV-Hand dataset, Coco-Hand dataset: Project Page

    • Github code for hand detection for images in the wild

    • Two datasets with annotated hand locations: TV-Hand and Coco-Hand

  • WorkingHands Dataset: Download

    • A dataset of hands interacting with hand-held tools. Contain both synthetic and real images with segmentation masks.

  • Crowd Counting Gaze: Project Page

    • A dataset containing gaze behavior of 10 human participants who are tasked with counting the number of people in 30 crowd images

  • StockEmotion Dataset: Github

    • A large-scale dataset of emotion

    • Pre-trained model and code for extracting emotion representation vector for an image

  • Upper body detector: version 1.0, last updated 22 Apr 14.

  • Discriminative Sub-categorization: version 1.0, last updated 29 Apr 13.

  • Max-Margin Early Event Detectors: version 2, last updated 1 Mar 2016

  • Joint localization and classification: version 4.0, last updated 8 Jul 11.

  • Branch-and-bound and dynamic programming code: version 2.0, last updated 8 Jul 11.

  • Matlab functions: version 4.1, last updated 14 Jul 15.
    This contains Matlab functions that are frequently used in my research, which might also be useful for some other people. The functions support various tasks, including:

    • classification (e.g., Kernel ridge regression, kernel computation, kNN),

    • evaluation (e.g., computing Average precision, plotting precision recall curve, plotting ROC curve),

    • optimization (e.g., Sgd, Asgd),

    • k-means (e.g., parallel k-means, permuation k-means)

    • Misc. utility functions (e.g., create latex table, progress bar, compute square distance),

    • Video processing (frame extraction, mp4 creation, shot boundary detection, video thread linking).