The code for paper "Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation" which is accepted by AAAI 2022

Last update: Jun 30, 2022

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Contrastive Spatio Temporal Pretext Learning for Self-supervised Video Representation (AAAI 2022)

The code for paper "Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation" which is accepted by AAAI 2022

Our source code will be released soon.

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PhD student at CityU. Focus on video understanding.

GitHub Repository

Implementation for our ICCV 2021 paper: Dual-Camera Super-Resolution with Aligned Attention Modules

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This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.

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The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).

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The code for paper "Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation" which is accepted by AAAI 2022

Related tags

Overview

Contrastive Spatio Temporal Pretext Learning for Self-supervised Video Representation (AAAI 2022)

Owner

Implementation for our ICCV 2021 paper: Dual-Camera Super-Resolution with Aligned Attention Modules

This is the repository for The Machine Learning Workshops, published by AI DOJO

ML models implementation practice

Based on Stockfish neural network(similar to LcZero)

Beancount-mercury - Beancount importer for Mercury Startup Checking

Source code for "FastBERT: a Self-distilling BERT with Adaptive Inference Time".

Patch SVDD for Image anomaly detection

NP DRAW paper released code

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

Metadata-Extractor - Metadata Extractor Script can be used to read in exif metadata

Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset

Code for Talk-to-Edit (ICCV2021). Paper: Talk-to-Edit: Fine-Grained Facial Editing via Dialog.

Multi-layer convolutional LSTM with Pytorch

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.

A really easy-to-use and powerful sudoku solver.

The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).

Fusion-in-Decoder Distilling Knowledge from Reader to Retriever for Question Answering

Evaluation toolkit of the informative tracking benchmark comprising 9 scenarios, 180 diverse videos, and new challenges.

Implementation of Convolutional LSTM in PyTorch.