ASMIftekhar

ACAM_Demo

Real-time Action detection demo for the work Actor Conditioned Attention Maps. This repo includes a complete pipeline for person detection/tracking and analyzing their actions in real-time.

Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch

action-detection

temporal action detection with SSN

ActionGenome

A video database bridging human actions and human-object relationships

Auto-Grader-for-short-answer-Question-using-Siamese-Neural-Network

CS 229 Project

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

COPY_PASTE-FORGERY-DETECTION

VSGNet

VSGNet:Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.

GTNet

GTNet:Guided Transformer Network for Detecting Human-Object Interactions

ASMIftekhar/VSGNet

VSGNet:Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.

ASMIftekhar/COPY_PASTE-FORGERY-DETECTION

ASMIftekhar/Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

ASMIftekhar/awesome-tips

ASMIftekhar/Awesome-Video-Datasets

Video datasets

ASMIftekhar/Bongard-HOI

[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning

ASMIftekhar/CCL

PyTorch Implementation on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

ASMIftekhar/CLUB

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

ASMIftekhar/DeepCEP_DAIS

Implementation of DeepCEP for DAIS paper

ASMIftekhar/Diag-HOI

ASMIftekhar/ELR

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

ASMIftekhar/gtad

The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection

ASMIftekhar/HAKE-Action-Torch

HAKE-Action in PyTorch

ASMIftekhar/HOI-Learning-List

A list of the Human-Object Interaction Learning studies.

ASMIftekhar/large_vocabulary_hoi_detection

Code for ICCV2021: Discovering Human Interactions with Large-Vocabulary Objects via Query and Multi-Scale Detection

ASMIftekhar/MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection

MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection

ASMIftekhar/PlotNeuralNet

Latex code for making neural networks diagrams

ASMIftekhar/polyloss-pytorch

Implementing PolyLoss in Pytorch

ASMIftekhar/pytorch-estimate-flops

Estimate/count FLOPS for a given neural network using pytorch

ASMIftekhar/qpic

Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"

ASMIftekhar/spatio-attentive-graphs

Official PyTorch implementation for our paper "Spatio-attentive Graphs for Human-Object Interaction Detection"

ASMIftekhar/Squeeze-and-Recursion-Temporal-Gates

Code for : [Pattern Recognit. Lett. 2020] "Learn to cycle: Time-consistent feature discovery for action recognition" and [arXiv] "Right on Time: Multi-Temporal Convolutions for Human Action Recognition in Videos".

ASMIftekhar/StressNet-Detecting-stress-from-thermal-videos

StressNet: Detecting Stress in Thermal Videos

ASMIftekhar/suncet

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

ASMIftekhar/SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

ASMIftekhar/T2T-ViT

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

ASMIftekhar/trackformer

Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]

ASMIftekhar/TSP

TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks

ASMIftekhar/Video-Action-Transformer-Network-Pytorch-

Implementation of the paper Video Action Transformer Network

ASMIftekhar/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch