MoonBlvd
I'm currently a senior research scientist at Nuro, focusing on Behavior ML foundation models and multimodality LLM.
University of Michigan
MoonBlvd's Stars
facebookresearch/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
Tramac/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
scikit-learn-contrib/hdbscan
A high performance implementation of HDBSCAN clustering.
xingyizhou/CenterTrack
Simultaneous object detection and tracking using center points.
Po-Hsun-Su/pytorch-ssim
pytorch structural similarity (SSIM) loss
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
google-deepmind/kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
yjxiong/tsn-pytorch
Temporal Segment Networks (TSN) in PyTorch
KaiyangZhou/pytorch-center-loss
Pytorch implementation of Center Loss
automan000/Convolutional_LSTM_PyTorch
Multi-layer convolutional LSTM with Pytorch
StanfordASL/Trajectron-plus-plus
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
fjchange/awesome-video-anomaly-detection
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
WaqasSultani/AnomalyDetectionCVPR2018
jorge-pessoa/pytorch-msssim
PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss
sunnyxiaohu/R-C3D.pytorch
R-C3D pytorch implementation
MoonBlvd/tad-IROS2019
Code of the Unsupervised Traffic Accident Detection paper in Pytorch.
ykotseruba/JAAD
Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset
aras62/PIEPredict
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction
RomeroBarata/skeleton_based_anomaly_detection
Code for the CVPR'19 paper "Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos"
aras62/PIE
Annotations for Pedestrian Intention Estimation (PIE) dataset
fjchange/object_centric_VAD
An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"
JWFangit/LOTVS-DADA
Driver Attention Prediction in Accidental Scenarios
xumingze0308/TRN.pytorch
[ICCV 2019] Official implementation of Temporal Recurrent Networks for Online Action Detection
anassinator/bnn
Bayesian Neural Network in PyTorch
NRauschmayr/Anomaly_Detection
RalphMao/VMetrics
A Python library to evaluate mean Average Precision(mAP) for object detection. Provides the same output as PASCAL VOC's matlab code.
JJBOY/C3D-pytorch
a C3D impelementation using pytorch