aurooj Goto Github PK

aishaurooj.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

aurooj

Config files for my GitHub profile.

caffe

Caffe: a fast open framework for deep learning.

clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

cross-view-image-synthesis

Cross-View Image Synthesis using Conditional GANs

densecap

Dense image captioning in Torch

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hand-segmentation-in-the-wild

handseg

hello-world

Test repository

mac-network

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

mac-network-pytorch

Memory, Attention and Composition (MAC) Network for CLEVR implemented in PyTorch

mmft-bert

mobile-semantic-segmentation

Real-Time Semantic Segmentation in Mobile device

multigrounding

This is the repo for Multi-level textual grounding

ns-vqa

Neural-symbolic visual question answering

places365

The Places365-CNNs for Scene Classification

pspnet

Pyramid Scene Parsing Network

pytorch-c3d

PyTorch implemented C3D and R2Plus1D models for video action recognition.

refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

segmenting-sky-pixels-in-images

Scripts and other code used in Segementing Sky Pixels In Images

shg-vqa

Learning Situation Hyper-Graphs for Video Question Answering

tbd-nets

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

tvqa

PyTorch code accompanies the TVQA dataset paper, in EMNLP 2018

utility-matlab-functions

This repository contains functions which I wrote to reuse for some basic tasks related to computer vision or can be used in general .

video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet

weakgroundedvqa_capsules

wsg-vqa-vltransformers

Weakly Supervised Grounding for VQA in Vision-Language Transformers