7 citations
- Nanyang Technological UniversitySG2 papers
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing Institute for General Artificial IntelligenceCN1 paper
- Beijing Normal UniversityCN1 paper
- CentraleSupélecFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- China Mobile (China)CN1 paper
- Chinese Academy of SciencesCN1 paper
- Design Intelligence (United States)US1 paper
- Guangdong University of TechnologyCN1 paper
- Hangzhou Dianzi UniversityCN1 paper
- Institute of MicroelectronicsCN1 paper
10 papers
IntentQA: Intent Question Answering in Videos by Cognitive Context Reasoning
Jiapeng Li, Ping Wei, Wenjuan Han +2
Video understanding requires intelligent agents to transcend mere recognition of visual facts and comprehend the underlying intents behind human actions (often termed the "dark mat…
Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition
Wenting Ma, Zhipeng Zhang, Xiaohang Yuan +6
In light of strides in Arti cial Intelligence (AI) and its wide spread application, challenges persist in the interpretability of AI models, particularly within specialized domains…
From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training
Jinwen Wang, Youfang Lin, Xiaobo Hu +4
Unsupervised pre-training on large-scale datasets has demonstrated significant potential for improving the sample efficiency and performance of Reinforcement Learning (RL). Given t…
Task-Relevant Representation Decoupling for Visual Reinforcement Learning Generalization
Jinwen Wang, Youfang Lin, Xiaobo Hu +4
Visual Reinforcement Learning (VRL) has achieved considerable success in solving control tasks. However, generalizing learned policies to new environments remains a major challenge…
Symmetric Entropy-Constrained Video Coding for Machines
Yuxiao Sun, Meiqin Liu, Chao Yao +5
As video transmission increasingly serves machine vision systems (MVS) instead of human vision systems (HVS), video coding for machines (VCM) has become a critical research topic.…
Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments
Feng Liu, Kejia Li, Zhiwei Yang +5
Although Global Navigation Satellite Systems (GNSS) provide a general solution for bike tracking outdoors, there still exist complex riding environments where only inertial navigat…