Pinned Repositories
Adversarial-Data-Encryption
Implementation of paper "Adversarial Data Encryption"
Adversarial-Lock
PyTorch implementation of paper "Protected Data Sharing with Adversarial Attack"
cliport
CLIPort: What and Where Pathways for Robotic Manipulation
diffusion_policy_vila
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
iris
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
PVM-Robotics
The repository for a thorough empirical evaluation of pre-trained vision model performance across different downstream policy learning methods.
SFC
Semantic-Aware Fine-Grained Correspondence, at ECCV 2022 (Oral)
SimCLR
A PyTorch implementation of SimCLR based on the paper "A Simple Framework for Contrastive Learning of Visual Representations"
universal_manipulation_interface
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
Yingdong-Hu's Repositories
Yingdong-Hu/PVM-Robotics
The repository for a thorough empirical evaluation of pre-trained vision model performance across different downstream policy learning methods.
Yingdong-Hu/SFC
Semantic-Aware Fine-Grained Correspondence, at ECCV 2022 (Oral)
Yingdong-Hu/universal_manipulation_interface
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
Yingdong-Hu/Adversarial-Data-Encryption
Implementation of paper "Adversarial Data Encryption"
Yingdong-Hu/Adversarial-Lock
PyTorch implementation of paper "Protected Data Sharing with Adversarial Attack"
Yingdong-Hu/cliport
CLIPort: What and Where Pathways for Robotic Manipulation
Yingdong-Hu/diffusion_policy_vila
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Yingdong-Hu/iris
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
Yingdong-Hu/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Yingdong-Hu/SimCLR
A PyTorch implementation of SimCLR based on the paper "A Simple Framework for Contrastive Learning of Visual Representations"