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Landmarks-assisted Collaborative Deep Framework for Automatic 4D Facial Expression Recognition.

, , , and . CoRR, (2019)

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M-BEHZAD: Minimum distance Based Energy efficiency using Hemisphere Zoning with Advanced Divide-and-Rule Scheme for Wireless Sensor Networks.. CoRR, (2018)Deep learning methods for analyzing vision-based emotion recognition from 3D/4D facial point clouds.. University of Oulu, Finland, (2022)base-search.net (ftunivoulu:oai:oulu.fi:isbn978-952-62-3305-5).Image denoising via collaborative support-agnostic recovery., , , , and . ICASSP, page 1343-1347. IEEE, (2017)Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network., , , and . BMVC, page 110. BMVA Press, (2019)Landmarks-assisted Collaborative Deep Framework for Automatic 4D Facial Expression Recognition., , , and . FG, page 302-306. IEEE, (2020)Self-Supervised Learning via Multi-view Facial Rendezvous for 3D/4D Affect Recognition., and . FG, page 1-5. IEEE, (2021)Mobility Model for WBANs., , , , , and . BWCCA, page 155-160. IEEE Computer Society, (2014)Toward Performance Optimization in IoT-based Next-Gen Wireless Sensor Networks., , , , and . CoRR, (2018)Distributed PCA and Consensus Based Energy Efficient Routing Protocol for WSNs., , , and . J. Inf. Sci. Eng., 33 (5): 1267-1283 (2017)Landmarks-assisted Collaborative Deep Framework for Automatic 4D Facial Expression Recognition., , , and . CoRR, (2019)