Search Results for author: Dong Jiang

Found 5 papers, 2 papers with code

Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance

no code implementations21 Jan 2024 Zheng Fang, Tianhao Chen, Dong Jiang, Zheng Zhang, Guangliang Li

Multi-agent generative adversarial imitation learning (MAGAIL) allows multi-AUV to learn from expert demonstration instead of pre-defined reward functions, but suffers from the deficiency of requiring optimal demonstrations and not surpassing provided expert demonstrations.

Imitation Learning Multi-agent Reinforcement Learning

Natural Adversarial Patch Generation Method Based on Latent Diffusion Model

no code implementations27 Dec 2023 Xianyi Chen, Fazhan Liu, Dong Jiang, Kai Yan

Recently, some research show that deep neural networks are vulnerable to the adversarial attacks, the well-trainned samples or patches could be used to trick the neural network detector or human visual perception.

Image Denoising

FSD-10: A Dataset for Competitive Sports Content Analysis

no code implementations9 Feb 2020 Shenlan Liu, Xiang Liu, Gao Huang, Lin Feng, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Hong Qiao

To promote the research on action recognition from competitive sports video clips, we introduce a Figure Skating Dataset (FSD-10) for finegrained sports content analysis.

Action Recognition Benchmarking +1

Color Recognition for Rubik's Cube Robot

1 code implementation11 Jan 2019 Shenglan Liu, Dong Jiang, Lin Feng, Feilong Wang, Zhanbo Feng, Xiang Liu, Shuai Guo, Bingjun Li, Yuchen Cong

We finally design a Rubik's cube robot and construct a dataset to illustrate the efficiency and effectiveness of our online methods and to indicate the ineffectiveness of offline method by color drifting in our dataset.

Rubik's Cube

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