asmiftekhar Goto Github PK

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.

awesome-tips

awesome-video-datasets

Video datasets

bongard-hoi

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

ccl

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

club

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

copy_paste-forgery-detection

ctap

ECCV2018 CTAP: Complementary Temporal Action Proposal Generation

dataaugmentationforobjectdetection

Data Augmentation For Object Detection

deep-image-retrieval

End-to-end learning of deep visual representations for image retrieval

deepcep_dais

Implementation of DeepCEP for DAIS paper

diag-hoi

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

eccv2020_paperlist

My summary of papers to read

elr

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

examples

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

facial-spoofing-detection-dl

gtad

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

hake-action-torch

HAKE-Action in PyTorch

hoi-learning-list

A list of the Human-Object Interaction Learning studies.

imgaug

Image augmentation for machine learning experiments.

interpretability-by-parts

[CVPR 2020 Oral] Interpretable and Accurate Fine-grained Recognition via Region Grouping

large_vocabulary_hoi_detection

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

machine-learning-interview

Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.