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Publication search results
found 165 matches
- 2023
- Fouad Makiyeh:
Vision-based shape servoing of soft objects using the mass-spring model. (Asservissement visuel d'objets déformables à partir du modèle masse-ressort). University of Rennes 1, France, 2023 - Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas:
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. CoRR abs/2309.01035 (2023) - 2022
- RETRACTED: Feature extraction of dance movement based on deep learning and deformable part model [EAI Endorsed Scal Inf Syst (2022), Online First]. EAI Endorsed Trans. Scalable Inf. Syst. 9(4): 23 (2022)
- Zvonimir Lavric, Kresimir Osman:
A machine learning approach to modelling and simulating the behaviour of systems with deformable particles. MIPRO 2022: 968-973 - Jung-Tae Kim, Fabio Ruggiero, Vincenzo Lippiello, Bruno Siciliano:
Smoothed Particle Hydrodynamics-Based Viscous Deformable Object Modelling. Robot Dynamic Manipulation 2022: 73-102 - (Withdrawn) Feature extraction of dance movement based on deep learning and deformable part model. EAI Endorsed Trans. Scalable Inf. Syst. 9(4): 11 (2022)
- 2020
- S. D. Govardhan, A. Vasuki:
Wavelet based iterative deformable part model for pedestrian detection. Multim. Tools Appl. 79(5-6): 3667-3681 (2020) - Xi Yang, Ziyu Wei, Nannan Wang, Bin Song, Xinbo Gao:
A novel deformable body partition model for MMW suspicious object detection and dynamic tracking. Signal Process. 174: 107627 (2020) - Kan Wang, Changxing Ding, Stephen J. Maybank, Dacheng Tao:
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-Identification. IEEE Trans. Image Process. 29: 3416-3428 (2020) - Wen-Hui Chen, Chi-Wei Kuan, Chuan-Cho Chiang:
Integrating Multiscale Deformable Part Models and Convolutional Networks for Pedestrian Detection. VEHITS 2020: 515-521 - 2019
- Pengfei Song, Lei Qi, Xueming Qian, Xiaoqiang Lu:
Detection of ships in inland river using high-resolution optical satellite imagery based on mixture of deformable part models. J. Parallel Distributed Comput. 132: 1-7 (2019) - Nicholas R. Howe, Jerod J. Weinman, John Gouwar, Aabid Shamji:
Deformable Part Models for Automatically Georeferencing Historical Map Images. SIGSPATIAL/GIS 2019: 540-543 - Kan Wang, Changxing Ding, Stephen J. Maybank, Dacheng Tao:
CDPM: Convolutional Deformable Part Models for Person Re-identification. CoRR abs/1906.04976 (2019) - 2018
- Dongbing Zhang:
Vehicle target detection methods based on color fusion deformable part model. EURASIP J. Wirel. Commun. Netw. 2018: 94 (2018) - Etienne Gadeski, Hamidreza Odabai Fard, Hervé Le Borgne:
GPU deformable part model for object recognition. J. Real Time Image Process. 14(2): 279-291 (2018) - Chunna Tian, Xiangnan Zhang, Wei Wei, Xinbo Gao:
Color pornographic image detection based on color-saliency preserved mixture deformable part model. Multim. Tools Appl. 77(6): 6629-6645 (2018) - Shuang Bai, Zhenyao Liu, Chang Yao:
Classify vehicles in traffic scene images with deformable part-based models. Mach. Vis. Appl. 29(3): 393-403 (2018) - Muhammad Hassan Khan, Manuel Schneider, Muhammad Shahid Farid, Marcin Grzegorzek:
Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model. Sensors 18(10): 3202 (2018) - Junliang Li, Hon-Cheng Wong, Sio-Long Lo, Yuchen Xin:
Multiple Object Detection by a Deformable Part-Based Model and an R-CNN. IEEE Signal Process. Lett. 25(2): 288-292 (2018) - Sergio R. Cruz, Antoni B. Chan:
Hand Detection using Deformable Part Models on an Egocentric Perspective. DICTA 2018: 1-7 - Kritaphat Songsri-in, George Trigeorgis, Stefanos Zafeiriou:
Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models. FG 2018: 218-225 - Nathan Pool, Ranga Raju Vatsavai:
Deformable Part Models for Complex Object Detection in Remote Sensing Imagery. BigSpatial@SIGSPATIAL 2018: 57-62 - Fatemeh Shokrollahi Yancheshmeh, Ke Chen, Joni-Kristian Kämäräinen:
Hierarchical Deformable Part Models for Heads and Tails. VISIGRAPP (5: VISAPP) 2018: 45-55 - 2017
- Yuuka Hirao, Yoshinori Takeuchi, Masaharu Imai, Jaehoon Yu:
Deformable Part Model Based Arrhythmia Detection Using Time Domain Features. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2221-2229 (2017) - Lei Geng, Yang Liu, Zhitao Xiao, Yuelong Li, Fang Zhang:
Fast pedestrian detection using deformable part model and pyramid layer location. J. Electronic Imaging 26(3): 33020 (2017) - Yingfeng Cai, Ze Liu, Xiaoqiang Sun, Long Chen, Hai Wang, Yong Zhang:
Vehicle Detection Based on Deep Dual-Vehicle Deformable Part Models. J. Sensors 2017: 5627281:1-5627281:10 (2017) - Amr Suleiman, Zhengdong Zhang, Vivienne Sze:
A 58.6 mW 30 Frames/s Real-Time Programmable Multiobject Detection Accelerator With Deformable Parts Models on Full HD 1920×1080 Videos. IEEE J. Solid State Circuits 52(3): 844-855 (2017) - Martin Haustein, Anton Gladky, Rüdiger Schwarze:
Discrete element modeling of deformable particles in YADE. SoftwareX 6: 118-123 (2017) - De Cheng, Yihong Gong, Jingjun Wang, Nanning Zheng:
Balanced Mixture of Deformable Part Models With Automatic Part Configurations. IEEE Trans. Circuits Syst. Video Technol. 27(9): 1962-1973 (2017) - Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, Liming Chen:
Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals. IEEE Trans. Multim. 19(2): 393-407 (2017)
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