no code implementations • 31 Mar 2024 • Yuhan Zhu, Guozhen Zhang, Jing Tan, Gangshan Wu, LiMin Wang
To address this issue, we propose a new Dual-level query-based TAD framework, namely DualDETR, to detect actions from both instance-level and boundary-level.
no code implementations • 13 Mar 2024 • Jing Tan, Ramin Khalili, Holger Karl
We test our algorithm in an ITS environment with edge cloud computing.
1 code implementation • 20 Oct 2022 • Jing Tan, Xiaotong Zhao, Xintian Shi, Bin Kang, LiMin Wang
Traditional temporal action detection (TAD) usually handles untrimmed videos with small number of action instances from a single label (e. g., ActivityNet, THUMOS).
Ranked #4 on Temporal Action Localization on MultiTHUMOS
no code implementations • 29 Jul 2022 • Jing Tan, Ramin Khalili, Holger Karl, Artur Hecker
We formulate offloading of computational tasks from a dynamic group of mobile agents (e. g., cars) as decentralized decision making among autonomous agents.
no code implementations • 30 Jun 2022 • Jiaqi Tang, Zhaoyang Liu, Jing Tan, Chen Qian, Wayne Wu, LiMin Wang
Local context modeling sub-network is proposed to perceive diverse patterns of generic event boundaries, and it generates powerful video representations and reliable boundary confidence.
no code implementations • 23 Jun 2022 • Jing Tan, Lars Braubach, Kai Jander, Rongjun Xu, Kai Chen
The system has been implemented as proof of concept and is currently reimplemented and transferred to a production system based on the Jadex agent platform.
1 code implementation • 5 Apr 2022 • Jing Tan, Ramin Khalili, Holger Karl
We propose a multi-agent distributed reinforcement learning algorithm that balances between potentially conflicting short-term reward and sparse, delayed long-term reward, and learns with partial information in a dynamic environment.
Multi-agent Reinforcement Learning reinforcement-learning +1
1 code implementation • 5 Apr 2022 • Jing Tan, Ramin Khalili, Holger Karl, Artur Hecker
We formulate computation offloading as a decentralized decision-making problem with autonomous agents.
no code implementations • 1 Mar 2022 • Jing Tan, Yuhong Wang, Gangshan Wu, LiMin Wang
Instead, in this paper, we present Temporal Perceiver, a general architecture with Transformer, offering a unified solution to the detection of arbitrary generic boundaries, ranging from shot-level, event-level, to scene-level GBDs.
1 code implementation • CVPR 2021 • Jing Tan, Shan Zhao, Pengfei Xiong, Jiangyu Liu, Haoqiang Fan, Shuaicheng Liu
Wide-angle portraits often enjoy expanded views.
2 code implementations • ICCV 2021 • Jing Tan, Jiaqi Tang, LiMin Wang, Gangshan Wu
Extensive experiments on THUMOS14 and ActivityNet-1. 3 benchmarks demonstrate the effectiveness of RTD-Net, on both tasks of temporal action proposal generation and temporal action detection.
no code implementations • 24 Sep 2020 • Jing Tan, Pengfei Xiong, Yuwen He, Kuntao Xiao, Zhengyi Lv
Based on this priori, we propose a novel Local Context Attention Network (LCANet) to generate locally reinforcement feature maps in a uniform representational architecture.