Human Pose Estimation Related Publication
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Updated
Aug 7, 2020
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Human Pose Estimation Related Publication
A selection of state-of-the-art research materials on trajectory prediction
Human Trajectory Prediction Dataset Benchmark (ACCV 2020)
CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
Code for our CVPR 2019 work.
A selection of state-of-the-art research materials on decision making and motion planning.
[ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.
Structured Prediction Helps 3D Human Motion Modelling - ICCV '19
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22)
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
[ICCV2021] Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Behavior Prediction in Autonomous Driving
Deep learning models for self-driving vehicles to predict other car/cyclist/pedestrian (called "agent")'s motion.
Code and results/visualizations for the paper "A Neural Temporal Model for Human Motion Prediction", CVPR 2019
Unified heterogeneous transformer-based graph neural network for motion prediction
M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
Code for: "Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs", ICCV2021 Workshops
This is a C++ repository containing various algorithms implemented by me for solving robotics problems
Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation"
Reinforcement learning agent that actively learns physical properties (motion mechanisms) in a 2D simulated domain.
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
Deep learning algorithm to perform motion prediction on vehicles as part of an autonomous car software stack.
Music conditioned dance prediction
Vehicle-Pedestrian Motion Prediction using Classification
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