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UAV-Human[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
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Openpose-based-GUI-for-Realtime-Pose-Estimate-and-Action-RecognitionGUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.
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cpnetLearning Video Representations from Correspondence Proposals (CVPR 2019 Oral)
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C3D-tensorflowAction recognition with C3D network implemented in tensorflow
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DEAR[ICCV 2021 Oral] Deep Evidential Action Recognition
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Two Stream PytorchPyTorch implementation of two-stream networks for video action recognition
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pushup-counter-appCount pushups from video/webcam. Tech stack: Keypoint detection, BlazePose, action recognition.
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TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
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Mmaction2OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
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ntu-xNTU-X, which is an extended version of popular NTU dataset
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ViCC[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.
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Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
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video repres mascode for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
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MiCT-Net-PyTorchVideo Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone
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Gluon CvGluon CV Toolkit
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synse-zslOfficial PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'
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DIN-Group-Activity-Recognition-BenchmarkA new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.
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Two Stream Action RecognitionUsing two stream architecture to implement a classic action recognition method on UCF101 dataset
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Pose2vecA Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.
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auditory-slow-fastImplementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch
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pose2actionexperiments on classifying actions using poses
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Realtime Action RecognitionApply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)
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gzsl-odOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition
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tfvaegan[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
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Hcn Prototypeloss PytorchHierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)
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Squeeze-and-Recursion-Temporal-GatesCode for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".
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DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
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ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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Action-LocalizationAction-Localization, Atomic Visual Actions (AVA) Dataset
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conv3d-video-action-recognitionMy experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves result…
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MUSES[CVPR 2021] Multi-shot Temporal Event Localization: a Benchmark
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TadTREnd-to-end Temporal Action Detection with Transformer. [Under review for a journal publication]
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bLVNet-TAMThe official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"
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Tsn PytorchTemporal Segment Networks (TSN) in PyTorch
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Dataset-REPAIRREPresentAtion bIas Removal (REPAIR) of datasets
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