Topic: video-understanding Goto Github

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alibaba-mmai-research / tadaconv
video-understanding,[ICLR 2022] TAda! Temporally-Adaptive Convolutions for Video Understanding. This codebase provides solutions for video classification, video representation learning and temporal detection.
Organization: alibaba-mmai-research
Home Page: https://tadaconv-iclr2022.github.io
action-recognition pytorch action-localization video-understanding video-classification self-supervised-learning tadaconv

amazon-science / video-contrastive-learning
video-understanding,Video Contrastive Learning with Global Context, ICCVW 2021
Organization: amazon-science
computer-vision video-understanding self-supervised-learning contrastive-learning iccv-2021

antoyang / frozenbilm
video-understanding,[NeurIPS 2022] Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
User: antoyang
Home Page: https://arxiv.org/abs/2206.08155
multimodal-learning video-understanding vqa weakly-supervised-learning large-language-models pre-training video-question-answering videoqa vision-and-language visual-question-answering

antoyang / just-ask
video-understanding,[ICCV 2021 Oral + TPAMI] Just Ask: Learning to Answer Questions from Millions of Narrated Videos
User: antoyang
Home Page: https://arxiv.org/abs/2012.00451
vqa visual-question-answering videoqa video-question-answering video-understanding question-generation weakly-supervised-learning vision-and-language pre-training multimodal-learning

antoyang / tubedetr
video-understanding,[CVPR 2022 Oral] TubeDETR: Spatio-Temporal Video Grounding with Transformers
User: antoyang
spatio-temporal-video-grounding stvg vidstg hc-stvg vision-and-language multimodal-learning video-understanding visual-grounding

antoyang / vidchapters
video-understanding,[NeurIPS 2023 D&B] VidChapters-7M: Video Chapters at Scale
User: antoyang
Home Page: http://arxiv.org/abs/2309.13952
dense-video-captioning multimodal-learning pre-training temporal-language-grounding video-captioning video-understanding vision-and-language weakly-supervised-learning vid2seq video-chapter-generation

boheumd / ma-lmm
video-understanding,(2024CVPR) MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
User: boheumd
Home Page: https://boheumd.github.io/MA-LMM/
llm video-understanding

chihyaoma / activity-recognition-with-cnn-and-rnn
video-understanding,Temporal Segments LSTM and Temporal-Inception for Activity Recognition
User: chihyaoma
activity-recognition video-understanding torch lstm-neural-networks convolutional-neural-networks

chinancheng / awesome-activity-prediction
video-understanding,Paper list of activity prediction and related area
User: chinancheng
awesome-list action-recognition activity-recognition activity-prediction action-prediction activity-understanding video-understanding

cmhungsteve / sstda
video-understanding,[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
User: cmhungsteve
Home Page: https://arxiv.org/abs/2003.02824
cvpr2020 pytorch domain-adaptation domain-discrepancy temporal-dynamics video action-segmentation self-supervised-learning video-understanding

cogito2012 / dear
video-understanding,[ICCV 2021 Oral] Deep Evidential Action Recognition
User: cogito2012
action-recognition openset-recognition video-understanding uncertainty-quantification evidential-deep-learning debiasing model-calibration ood-detection

fabienbaradel / object_level_visual_reasoning
video-understanding,Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
User: fabienbaradel
eccv-2018 computer-vision video-understanding human-object-interaction

ferreirafabio / video2tfrecord
video-understanding,Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords.
User: ferreirafabio
video-understanding deep-learning preprocessor tensorflow tensorflow-tfrecords opencv neural-network optical-flow

henghuiding / mevis
video-understanding,[ICCV 2023] MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
User: henghuiding
Home Page: https://henghuiding.github.io/MeViS/
multimodal-learning referring-expression-comprehension referring-expression-segmentation referring-video-object-segmentation video-understanding mevis-dataset mose-dataset

hustvl / tevit
video-understanding,Temporally Efficient Vision Transformer for Video Instance Segmentation, CVPR 2022, Oral
Organization: hustvl
Home Page: https://arxiv.org/abs/2204.08412
instance-segmentation video-instance-segmentation video-understanding

jinwchoi / awesome-action-recognition
video-understanding,A curated list of action recognition and related area resources
User: jinwchoi
awesome-list awesome action-recognition action-classification action-detection activity-recognition activity-understanding video-understanding video-recognition video-processing

junweiliang / multiverse
video-understanding,Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.
User: junweiliang
Home Page: https://next.cs.cmu.edu/multiverse/
trajectory-prediction trajectory-prediction-benchmark computer-vision video-understanding 3d-simulation

mcg-nju / tdn
video-understanding,[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition
Organization: mcg-nju
Home Page: https://arxiv.org/abs/2012.10071
action-recognition video-understanding video-classification cvpr2021 pytorch temporal-modeling

mcg-nju / videomae
video-understanding,[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Organization: mcg-nju
Home Page: https://arxiv.org/abs/2203.12602
self-supervised-learning action-recognition video-understanding masked-autoencoder transformer vision-transformer video-transformer mae pytorch video-representation-learning

mit-han-lab / temporal-shift-module
video-understanding,[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Organization: mit-han-lab
Home Page: https://arxiv.org/abs/1811.08383
acceleration low-latency temporal-modeling video-understanding efficient-model nvidia-jetson-nano tsm

movienet / movienet-tools
video-understanding,Tools for movie and video research
Organization: movienet
Home Page: http://movienet.github.io
movie computer-vision video-understanding action-recognition deep-learning vision-language cross-modality shot-detection person-analysis

nvlabs / step
video-understanding,STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
Organization: nvlabs
action-detection spatial-temporal spatio-temporal video-action action-recognition ava ava-dataset ucf101 ucf101-dataset amp

open-mmlab / mmaction
video-understanding,An open-source toolbox for action understanding based on PyTorch
Organization: open-mmlab
Home Page: https://open-mmlab.github.io/
action-recognition action-detection video-understanding pytorch temporal-action-detection temporal-action-localization spatial-temporal-action-detection

open-mmlab / mmaction2
video-understanding,OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Organization: open-mmlab
Home Page: https://mmaction2.readthedocs.io
action-recognition temporal-action-localization pytorch video-understanding tsn i3d slowfast ava spatial-temporal-action-detection benchmark

opengvlab / ask-anything
video-understanding,[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
Organization: opengvlab
Home Page: https://vchat.opengvlab.com/
captioning-videos chatgpt gradio langchain video-question-answering video-understanding stablelm chat video big-model

opengvlab / internvideo
video-understanding,Video Foundation Models & Data for Multimodal Understanding
Organization: opengvlab
foundation-models video-understanding vision-transformer action-recognition masked-autoencoder multimodal open-set-recognition spatio-temporal-action-localization temporal-action-localization video-question-answering

opengvlab / videomaev2
video-understanding,[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
Organization: opengvlab
Home Page: https://arxiv.org/abs/2303.16727
cvpr2023 foundation-model self-supervised-learning video-understanding action-detection action-recognition temporal-action-detection

paddlepaddle / paddlevideo
video-understanding,Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.
Organization: paddlepaddle
video-recognition tsm slowfast tsn bmn action-recognition youtube-8m kinetics400 video-understanding activitynet

pku-yuangroup / chat-univi
video-understanding,[CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
Organization: pku-yuangroup
Home Page: https://arxiv.org/abs/2311.08046
image-understanding large-language-models video-understanding vision-language-model

rlleshi / phar
video-understanding,deep learning sex position classifier
User: rlleshi
action-recognition deep-learning porn-filter pornhub pytorch video-classification video-understanding human-action-recognition sex sex-classifier

rohitgirdhar / actionvlad
video-understanding,ActionVLAD for video action classification (CVPR 2017)
User: rohitgirdhar
Home Page: https://rohitgirdhar.github.io/ActionVLAD/
action-recognition deep-learning tensorflow video-processing video-understanding

rohitgirdhar / cater
video-understanding,CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
User: rohitgirdhar
Home Page: https://rohitgirdhar.github.io/CATER/
video-recognition action-recognition deep-learning clevr video-understanding

showlab / awesome-video-diffusion
video-understanding,A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
Organization: showlab
awesome diffusion-models video-editing video-generation video-understanding video-restoration text-to-motion text-to-video

theshadow29 / awesome-grounding
video-understanding,awesome grounding: A curated list of research papers in visual grounding
User: theshadow29
computer-vision natural-language-processing grounding awesome-list papers arxiv visual-grounding image-grounding video-understanding video-grounding

ustc-video-understanding / i3d_finetune
video-understanding,TensorFlow code for finetuning I3D model on UCF101.
Organization: ustc-video-understanding
action-recognition video-understanding cnn deep-learning i3d

v-iashin / specvqgan
video-understanding,Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
User: v-iashin
Home Page: https://v-iashin.github.io/SpecVQGAN
transformer vqvae gan pytorch audio-generation video-features melgan multi-modal video-understanding vggsound

wangheda / youtube-8m
video-understanding,The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)
User: wangheda
Home Page: https://arxiv.org/abs/1706.05150
youtube-8m video-understanding computer-vision deep-learning ensemble-learning tensorflow

whwu95 / bike
video-understanding,【CVPR'2023】Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
User: whwu95
Home Page: https://arxiv.org/abs/2301.00182
action-recognition cross-modal-learning video-language-understanding video-recognition video-understanding

whwu95 / cap4video
video-understanding,【CVPR'2023 Highlight】Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?
User: whwu95
Home Page: https://arxiv.org/abs/2301.00184
cross-modal-learning video-language-understanding video-text-retrieval video-understanding

whwu95 / mvfnet
video-understanding,【AAAI'2021】MVFNet: Multi-View Fusion Network for Efficient Video Recognition
User: whwu95
Home Page: https://arxiv.org/abs/2012.06977
efficient-video-recognition data-preparation model-zoo video-understanding temporal-modeling

whwu95 / text4vis
video-understanding,【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective
User: whwu95
cross-modal-learning transfer-learning video-recognition video-understanding action-recognition

wujie1010 / awesome-temporally-language-grounding
video-understanding,A curated list of “Temporally Language Grounding” and related area
User: wujie1010
video-understanding language-grounding temporal-activity-localization temporal-language-grounding charades activitynet-captions

xyzforever / bevt
video-understanding,PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529
User: xyzforever
action-recognition bert deep-learning masked-autoencoder pytorch video-understanding foundation-models self-supervised-learning video-representation-learning

yjxiong / action-detection
video-understanding,temporal action detection with SSN
User: yjxiong
action-recognition action-detection temporal-activity-localization video-understanding structured-segment-networks

yjxiong / temporal-segment-networks
video-understanding,Code & Models for Temporal Segment Networks (TSN) in ECCV 2016
User: yjxiong
temporal-segment-networks action-recognition video-understanding

yjxiong / tsn-pytorch
video-understanding,Temporal Segment Networks (TSN) in PyTorch
User: yjxiong
action-recognition deep-learning video-understanding pytorch temporal-segment-networks

yoosan / video-understanding-dataset
video-understanding,A collection of recent video understanding datasets, under construction!
User: yoosan
video-understanding datasets computer-vision action-recognition

youngwanlee / vov3d
video-understanding,Efficient 3D Backbone Network for Temporal Modeling
User: youngwanlee
Home Page: https://arxiv.org/abs/2012.00317
backbone-networks temporal-modeling efficient-model vovnet vov3d video-understanding 3d-cnn-architecture

yuhaocheng / pyanomaly
video-understanding,Useful Toolbox for Anomaly Detection
User: yuhaocheng
anomaly-detection artificial-intelligence artificial-neural-networks computer-vision machine-learning multimedia python pytroch video-analysis video-anomaly-detection video-understanding

zhang-can / pan-pytorch
video-understanding,[Codes of paper]: PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
User: zhang-can
Home Page: https://arxiv.org/abs/2008.03462
action-recognition video-understanding motion-representation