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Hand Pose Estimation and Hand Shape Classification Using Multi-layered Randomized Decision Forests.

, , , and . ECCV (6), volume 7577 of Lecture Notes in Computer Science, page 852-863. Springer, (2012)

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Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data., , and . Pattern Recognit. Lett., (2014)Autotuning Runtime Specialization for Sparse Matrix-Vector Multiplication., , , , and . ACM Trans. Archit. Code Optim., 13 (1): 5:1-5:26 (2016)Description-aware Fashion Image Inpainting with Convolutional Neural Networks in Coarse-to-Fine Manner., , and . ICCTA, page 74-79. ACM, (2020)Fashion Image Retrieval with Capsule Networks., , and . ICCV Workshops, page 3109-3112. IEEE, (2019)3D hand pose estimation and classification using depth sensors., , , and . SIU, page 1-4. IEEE, (2012)Real-time human hand pose estimation and tracking using depth sensors (Derinlik algılayıcıları ile gerçek zamanlı insan el pozu kestirimi ve izlemesi). Boğaziçi University, Turkey, (2013)AIM 2022 Challenge on Instagram Filter Removal: Methods and Results., , , , , , , , , and 23 other author(s). ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 27-43. Springer, (2022)Real time hand pose estimation using depth sensors., , , and . ICCV Workshops, page 1228-1234. IEEE Computer Society, (2011)Randomized decision forests for static and dynamic hand shape classification., , , and . CVPR Workshops, page 31-36. IEEE Computer Society, (2012)Real Time Hand Pose Estimation Using Depth Sensors., , , and . Consumer Depth Cameras for Computer Vision, Springer, (2013)