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Multi-Velocity Neural Networks for Facial Expression Recognition in Videos.

, , и . IEEE Trans. Affect. Comput., 10 (2): 290-296 (2019)

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Raviv Herbst

Raviv Herbst

Raviv Herbst

Raviv Herbst

Dan Wang

 

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Full and Partial Symmetries of Non-rigid Shapes., , , и . Int. J. Comput. Vis., 89 (1): 18-39 (2010)Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds., и . 3DV, стр. 782-791. IEEE, (2021)Selective sampling with Gromov-Hausdorff metric: Efficient dense-shape correspondence via Confidence-based sample consensus., и . Virtual Real. Intell. Hardw., 6 (1): 30-42 (2024)Multi-Velocity Neural Networks for Facial Expression Recognition in Videos., , и . IEEE Trans. Affect. Comput., 10 (2): 290-296 (2019)Spectral Teacher for a Spatial Student: Spectrum-Aware Real-Time Dense Shape Correspondence., , и . 3DV, стр. 1-10. IEEE, (2022)Unsupervised Volumetric Displacement Fields Using Cost Function Unrolling., и . MIDOG/MOOD/Learn2Reg@MICCAI, том 13166 из Lecture Notes in Computer Science, стр. 153-160. Springer, (2021)Dual Geometric Graph Network (DG2N) - Zero-Shot Refinement for Dense Shape Correspondence., и . CoRR, (2020)Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration., и . CoRR, (2021)Learning Document Graphs with Attention for Image Manipulation Detection., , и . ICPRAI (1), том 13363 из Lecture Notes in Computer Science, стр. 263-274. Springer, (2022)Invariant metrics for non-rigid shapes.. Technion - Israel Institute of Technology, Israel, (2012)