Codebase for "Revisiting spatio-temporal layouts for compositional action recognition" (Oral at BMVC 2021).

Last update: Dec 15, 2022

Overview

Revisiting spatio-temporal layouts for compositional action recognition

Codebase for "Revisiting spatio-temporal layouts for compositional action recognition" (Oral at BMVC 2021).

New year's arrival (01.01.2022) > Code release date > CVPR 2021 deadline (17.11.2021)...

Owner

Gorjan

Third year PhD in Machine Learning at KU Leuven. Interested in multi-modal deep learning and spatial reasoning involving vision and language.

GitHub Repository

O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning (CoRL 2021)

O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning Object-object Interaction Affordance Learning. For a given object-object int

26 Nov 04, 2022

This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.

Dugh-NeurIPS-2021 This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroi

5 Jul 12, 2022

A style-based Quantum Generative Adversarial Network

Style-qGAN A style based Quantum Generative Adversarial Network (style-qGAN) model for Monte Carlo event generation. Tutorial We have prepared a noteb

9 Nov 24, 2022

Evaluating AlexNet features at various depths

Linear Separability Evaluation This repo provides the scripts to test a learned AlexNet's feature representation performance at the five different con

32 Dec 30, 2022

Human Pose Detection on EdgeTPU

Coral PoseNet Pose estimation refers to computer vision techniques that detect human figures in images and video, so that one could determine, for exa

476 Dec 31, 2022

Memory Efficient Attention (O(sqrt(n)) for Jax and PyTorch

Memory Efficient Attention This is unofficial implementation of Self-attention Does Not Need O(n^2) Memory for Jax and PyTorch. Implementation is almo

126 Dec 27, 2022

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

GNeRF This repository contains official code for the ICCV 2021 paper: GNeRF: GAN-based Neural Radiance Field without Posed Camera. This implementation

191 Dec 26, 2022

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Deep Reinforcement Learning Agents This repository contains a collection of reinforcement learning algorithms written in Tensorflow. The ipython noteb

2.2k Jan 01, 2023

PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).

HIGL This is a PyTorch implementation for our paper: Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning (NeurIPS 2021). Our cod

20 Dec 14, 2022

This repository contains numerical implementation for the paper Intertemporal Pricing under Reference Effects: Integrating Reference Effects and Consumer Heterogeneity.

6 Nov 18, 2022

A PyTorch toolkit for 2D Human Pose Estimation.

PyTorch-Pose PyTorch-Pose is a PyTorch implementation of the general pipeline for 2D single human pose estimation. The aim is to provide the interface

1.1k Dec 30, 2022

Codebase for "Revisiting spatio-temporal layouts for compositional action recognition" (Oral at BMVC 2021).

Related tags

Overview

Revisiting spatio-temporal layouts for compositional action recognition

Owner

Gorjan

O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning (CoRL 2021)

This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.

A style-based Quantum Generative Adversarial Network

Evaluating AlexNet features at various depths

Human Pose Detection on EdgeTPU

Memory Efficient Attention (O(sqrt(n)) for Jax and PyTorch

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Code implementing "Improving Deep Learning Interpretability by Saliency Guided Training"

Zero-shot Synthesis with Group-Supervised Learning (ICLR 2021 paper)

PyTorch implementation for 3D human pose estimation

An Api for Emotion recognition.

A framework for attentive explainable deep learning on tabular data

Explaining neural decisions contrastively to alternative decisions.

Cockpit is a visual and statistical debugger specifically designed for deep learning.

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

This repository contains numerical implementation for the paper Intertemporal Pricing under Reference Effects: Integrating Reference Effects and Consumer Heterogeneity.

A PyTorch toolkit for 2D Human Pose Estimation.