Tom-roujiang

Tom-roujiang's Stars

• donalee/WETAS

  Weakly Supervised Temporal Anomaly Segmentation

  Language:Python135

• vincentherrmann/pytorch-wavenet

  An implementation of WaveNet with fast generation

  Language:Jupyter Notebook968225

• r9y9/wavenet_vocoder

  WaveNet vocoder

  Language:Python2.3k500

• tianyu0207/RTFM

  Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

  Language:Python32377

• byrkbrk/conditional-ddpm

  A simple PyTorch implementation of conditional denoising diffusion probabilistic models (DDPM) on MNIST, Fashion-MNIST, and Sprite datasets

  Language:Python151

• thu-ml/CEP-energy-guided-diffusion

  Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction

  Language:Python212

• aleflabo/MoCoDAD

  The official PyTorch implementation of the IEEE/CVF International Conference on Computer Vision (ICCV) '23 paper Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.

  Language:Jupyter Notebook639

• junbopeng/conditional_DDPM

  Official repo of a Medical Physics paper titled "CBCT-Based Synthetic CT Image Generation Using Conditional Denoising Diffusion Probabilistic Model"

  Language:Python254

• chi0tzp/PyVideoFramesExtractor

  Extract frames from videos in Python using OpenCV.

  Language:Python4011

• ktr-hubrt/UMIL

  Language:Python485

• okankop/Driver-Anomaly-Detection

  PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.

  Language:Python11827

• ristea/aed-mae

  Language:Python252

• SwinTransformer/Video-Swin-Transformer

  This is an official implementation for "Video Swin Transformers".

  Language:Python1.4k196

• msad-dataset/msad-dataset.github.io

  Language:HTML1

• wenyudu/MIGU

  Language:Python12

• Lordog/dive-into-llms

  《动手学大模型Dive into LLMs》系列编程实践教程

  3.3k283

• fesvhtr/CUVA

  [CVPR 2024] Official repository of the paper "Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly"

  Language:Python29

• lucazanella/lavad

  Official implementation of "Harnessing Large Language Models for Training-free Video Anomaly Detection", CVPR 2024

  Language:Python442

• wanboyang/anomly_feature.pytorch

  Language:Python296

• hassony2/kinetics_i3d_pytorch

  Inflated i3d network with inception backbone, weights transfered from tensorflow

  Language:Python522114

• louisYen/S3R

  video anomaly detection

  Language:Python7612

• jx-zhong-for-academic-purpose/GCN-Anomaly-Detection

  Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

  Language:Python23143

• yzhao062/WSAD

  A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)

  Language:Python15211

• piergiaj/pytorch-i3d

  Language:Python962251

• GowthamGottimukkala/I3D_Feature_Extraction_resnet

  I3D features extractor with resnet50 backbone

  Language:Python6216

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.3k2.4k

• Xuange923/Surveillance-Video-Understanding

  Official project page of the paper "Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges" (Accepted by CVPR 2024)

  244

• carolchenyx/MGFN.

  This is the official repo of paper accepted in AAAI 2023 Oral.

  Language:Python8514

• fjchange/awesome-video-anomaly-detection

  Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

  581101

• facebookresearch/TimeSformer

  The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

  Language:Python1.5k209