Pinned Repositories
build_multiscale_graph_convid19
Build multiscale graph where nodes are regions (City, State, Country, Continent) for convid19 simulation. Graph structure (within-scale and across-scale) and node initial static properties (centroids, population, #airports, #train station, #ferry ports) can be built.
composer
Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
dhypr
DIN_GAR
Codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
evaluation_crowd_flow
GitEvolve
The repository for code in GitEvolve: Predicting the Evolution of GitHub Repositories
HID
Repository for " Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion".
HM-Hybrid-Masking
HM: Hybrid Masking for Few-Shot Segmentation
hrnet_pose_extract
memetracker_raw_phrases_obtain_cascades
hongluzhou's Repositories
hongluzhou/composer
Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
hongluzhou/HID
Repository for " Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion".
hongluzhou/dhypr
hongluzhou/hrnet_pose_extract
hongluzhou/memetracker_raw_phrases_obtain_cascades
hongluzhou/GitEvolve
The repository for code in GitEvolve: Predicting the Evolution of GitHub Repositories
hongluzhou/build_multiscale_graph_convid19
Build multiscale graph where nodes are regions (City, State, Country, Continent) for convid19 simulation. Graph structure (within-scale and across-scale) and node initial static properties (centroids, population, #airports, #train station, #ferry ports) can be built.
hongluzhou/DIN_GAR
Codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
hongluzhou/evaluation_crowd_flow
hongluzhou/HM-Hybrid-Masking
HM: Hybrid Masking for Few-Shot Segmentation
hongluzhou/kmeans_pytorch
kmeans using PyTorch
hongluzhou/reddit-summarizer
2019 spring NLP course project
hongluzhou/SteerSuite-GangProject
hongluzhou/TimeSformer
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
hongluzhou/video-distant-supervision
This is an official pytorch implementation of Learning To Recognize Procedural Activities with Distant Supervision. In this repository, we provide PyTorch code for training and testing as described in the paper. The proposed distant supervision framework achieves strong generalization performance on step classification, recognition of procedural activities, step forecasting (New Task!) and egocentric activity classification.