nulibiye's Stars
ShiArthur03/ShiArthur03
skci/VLPR
基于OpenCV的车牌识别系统的设计与实现
google/next-prediction
Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019
brainbow30/Multi-Class-Social-STGCNN
Building on the work of Social STGCNN we introduce Multi-Class Social STGCNN to include class information into trajectory prediction to improve the accuracy.
CHENGY12/CausalHTP
The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.
qiyan98/social-nce-stgcnn
[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch, for Social-STGCNN on trajectory forecasting.
EhabWilson/Social-STGCNN
just visualize
Carrotsniper/Multiclass-SGCN
zhouhao94/AST-GNN
cmubig/socialAttention
JinleiZhangBJTU/ResNet-LSTM-GCN
Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit
docwza/sumolights
SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights
wingsweihua/colight
CoLight: Learning Network-level Cooperation for Traffic Signal Control
wangf622/GPLight
taoran1998/-
研学社
mikel-brostrom/boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
marsmarcin/Visual-of-Social-GAN
Show Visualization Result of Social GAN
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
ifzhang/FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
Aryan-Garg/PECNet-Pedestrian-Trajectory-Prediction
prakruti-joshi/Gated-Attention-Network
PyTorch implementation of the Gated Attention Network for text classification. Comparison of the model with BiLSTM and soft attention models using IMDb and TREC dataset.
elbuco1/AttentionMechanismsTrajectoryPrediction
In this repository, one can find the code for my master's thesis project. The main goal of the project was to study and improve attention mechanisms for trajectory prediction of moving agents.
cschoeller/constant_velocity_pedestrian_motion
Code for "What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction", Schöller et al., Robotics and Automation Letters (RA-L), 2020
vita-epfl/trajnetplusplusbaselines
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
davidglavas/sgan-experiments
Experiments with Social-GAN
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
coolsunxu/GraphTCN
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction
lssiair/SIT
Social Interpretable Tree for Pedestrian Trajectory Prediction (AAAI22)
Gutianpei/MID
[CVPR2022] Code for CVPR 2022 paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"
qianhuimen/Multi-Class-Social-STGCNN
Building on the work of Social STGCNN we introduce Multi-Class Social STGCNN to include class information into trajectory prediction to improve the accuracy.