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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8...870 Hits 61 – 80 of 17.396 61 Word separation in continuous sign language using isolated signs and post-processing ... Rastgoo, Razieh; Kiani, Kourosh; Escalera, Sergio. - : arXiv, 2022 BASE Show details 62 Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language ... Gudmundsson, Joachim; Seybold, Martin P.; Pfeifer, John. - : arXiv, 2022 BASE Show details 63 ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language ... de Amorim, Cleison Correia; Zanchettin, Cleber. - : arXiv, 2022 BASE Show details 64 TFS Recognition: Investigating MPH]{Thai Finger Spelling Recognition: Investigating MediaPipe Hands Potentials ... Sanalohit, Jinnavat; Katanyukul, Tatpong. - : arXiv, 2022 Abstract: Thai Finger Spelling (TFS) sign recognition could benefit a community of hearing-difficulty people in bridging to a major hearing population. With a relatively large number of alphabets, TFS employs multiple signing schemes. Two schemes of more common signing -- static and dynamic single-hand signing, widely used in other sign languages -- have been addressed in several previous works. To complete the TFS sign recognition, the remaining two of quite distinct signing schemes -- static and dynamic point-on-hand signing -- need to be sufficiently addressed. With the advent of many off-the-shelf hand skeleton prediction models and that training a model to recognize a sign language from scratch is expensive, we explore an approach building upon recently launched MediaPipe Hands (MPH). MPH is a high-precision well-trained model for hand-keypoint detection. We have investigated MPH on three TFS schemes: static-single-hand (S1), simplified dynamic-single-hand (S2) and static-point-on-hand (P1) schemes. Our results ... : 19 pages, 10 figures ... Keyword: Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Human-Computer Interaction cs.HC URL: https://dx.doi.org/10.48550/arxiv.2201.03170 https://arxiv.org/abs/2201.03170 BASE Hide details 65 Sign Language Video Retrieval with Free-Form Textual Queries ... Duarte, Amanda; Albanie, Samuel; Giró-i-Nieto, Xavier. - : arXiv, 2022 BASE Show details 66 All You Need In Sign Language Production ... Rastgoo, Razieh; Kiani, Kourosh; Escalera, Sergio. - : arXiv, 2022 BASE Show details 67 Towards Zero-shot Sign Language Recognition ... Bilge, Yunus Can; Cinbis, Ramazan Gokberk; Ikizler-Cinbis, Nazli. - : arXiv, 2022 BASE Show details 68 Sign Language Recognition System using TensorFlow Object Detection API ... Srivastava, Sharvani; Gangwar, Amisha; Mishra, Richa. - : arXiv, 2022 BASE Show details 69 Τρισδιάστατη ανακατασκευή ανθρωπίνου σώματος, χεριών και προσώπου με εφαρμογές στην αναγνώριση νοηματικής γλώσσας ... Kratimenos, Angelos. - : National Technological University of Athens, 2022 BASE Show details 70 Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation ... Chang, Xiaoguang; Wang, Teng; Sun, Changyin. - : arXiv, 2022 BASE Show details 71 hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ... Das, Mithun; Banerjee, Somnath; Mukherjee, Animesh. - : arXiv, 2022 BASE Show details 72 Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework ... Gu, Jiaxi; Meng, Xiaojun; Lu, Guansong. - : arXiv, 2022 BASE Show details 73 SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition ... Huang, Mingxin; Liu, Yuliang; Peng, Zhenghao. - : arXiv, 2022 BASE Show details 74 3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos ... Gupta, Vikram; Mittal, Trisha; Mathur, Puneet. - : arXiv, 2022 BASE Show details 75 Taking an Emotional Look at Video Paragraph Captioning ... Li, Qinyu; Li, Tengpeng; Wang, Hanli. - : arXiv, 2022 BASE Show details 76 EnvEdit: Environment Editing for Vision-and-Language Navigation ... Li, Jialu; Tan, Hao; Bansal, Mohit. - : arXiv, 2022 BASE Show details 77 IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages ... Bugliarello, Emanuele; Liu, Fangyu; Pfeiffer, Jonas. - : arXiv, 2022 BASE Show details 78 Natural Language Descriptions of Deep Visual Features ... Hernandez, Evan; Schwettmann, Sarah; Bau, David. - : arXiv, 2022 BASE Show details 79 Finding Structural Knowledge in Multimodal-BERT ... Milewski, Victor; de Lhoneux, Miryam; Moens, Marie-Francine. - : arXiv, 2022 BASE Show details 80 IterVM: Iterative Vision Modeling Module for Scene Text Recognition ... Chu, Xiaojie; Wang, Yongtao. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5 6 7 8...870

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