This work was supported by the National Natural Science Foundation of China(NSFC)(Grant Nos.62072334,U1803264).
Human interaction recognition is an essential task in video surveillance.The current works on human interaction recognition mainly focus on the scenarios only containing the close-contact interactive subjects without ...
This research was supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)support program(IITP-2023-2018-0-01426)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation);This work has also been supported by PrincessNourah bint Abdulrahman UniversityResearchers Supporting Project Number(PNURSP2022R239),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.Also;this work was partially supported by the Taif University Researchers Supporting Project Number(TURSP-2020/115),Taif University,Taif,Saudi Arabia.
Identifying human actions and interactions finds its use in manyareas, such as security, surveillance, assisted living, patient monitoring, rehabilitation,sports, and e-learning. This wide range of applications has at...
supported by the National Natural Science Foundation of China(Project No.61902210),a Research Grant of Beijing Higher Institution Engineering Research Center,and the Tsinghua–Tencent Joint Laboratory for Internet Innovation Technology.
Human–object interaction(HOI)detection is crucial for human-centric image understanding which aims to infer human,action,object triplets within an image.Recent studies often exploit visual features and the spatial co...
This paper proposes a method to recognize human-object interactions by modeling context between human actions and interacted objects.Human-object interaction recognition is a challenging task due to severe occlusion b...
supported by the National High-Tech Research and Development Program of China (Grant No.2006AA02A305);the National Natural Science Foundation of China (Grant Nos. 30671907,30872292 and 90813025);Beijing Natural Science Foundation (Grant No. 5072029)
Human CCL17/TARC (hCCL17) and CCL22/MDC (hCCL22) interact with their receptor CCR4, playing pivotal roles in various Th2 cell-dominant diseases. Rat Ccl17, Ccl22 and Ccr4 share 63.4%, 65.2% and 87.5% homology at the a...