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Publication search results
found 78 matches
- 2017
- Kutalmis Akpinar, Kien A. Hua:
ThingStore - An Internet of Things Management System. BigMM 2017: 354-361 - Flora Amato, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì:
Recommendation in Social Media Networks. BigMM 2017: 213-216 - Christian Beecks, Sabrina Kletz, Klaus Schoeffmann:
Large-Scale Endoscopic Image and Video Linking with Gradient-Based Signatures. BigMM 2017: 17-21 - Bo-Hao Chen, Ling-Feng Shi, Xiao Ke:
Low-Rank Representation with Contextual Regularization for Moving Object Detection in Big Surveillance Video Data. BigMM 2017: 134-141 - Bo-Hao Chen, Jia-Li Yin, Ying Li:
Image Noise Removing Using Semi-supervised Learning on Big Image Data. BigMM 2017: 338-345 - Kevin Desai, Uriel Haile Hernández Belmonte, Rong Jin, Balakrishnan Prabhakaran, Paul Diehl, Víctor Ayala-Ramírez, Vinu Johnson, Murry Gans:
Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL). BigMM 2017: 376-383 - Hirokazu Doi:
Biological Principles of Human Attractiveness Perception. BigMM 2017: 217-219 - Xinyu Du, Peng Dai, Shengchun Wang, Yu Cheng, Dan Wu:
Coupled Wilson-Cowan Oscillator Model with Double-Node for Image Enhancement. BigMM 2017: 129-133 - Li Du, Wenhui Jiang, Zhicheng Zhao, Fei Su:
Ego-Motion Classification for Driving Vehicle. BigMM 2017: 276-279 - Shu Fang, Yang Yue, Liuyuan He, Kai Du, Yonghong Tian, Tiejun Huang:
Image Saliency Analysis Based on Retina Simulation. BigMM 2017: 142-145 - Xiaoling Feng, Huihui Bai, Yao Zhao:
Block-Level Entropy-Based Adaptive Sampling Framework for Depth Map. BigMM 2017: 284-290 - Danny Francis, Paul Pidou, Bernard Mérialdo, Benoit Huet:
Natural Language Access to Video Databases. BigMM 2017: 78-81 - Tianrun Gao, Yuexia Zhang, Xuzhen Zhu, Lihua Li:
Personalized Recommendation Based on Unbalanced Symmetrical Mass Diffusion. BigMM 2017: 384-388 - Shiming Ge, Qiting Ye, Zhao Luo, Shengwei Zhao:
Try Everything: Detecting Occluded Faces by Cascading Outrageous Proposal Generation and Deep Convolutional Neural Network. BigMM 2017: 193-196 - Raghuraman Gopalan:
Walking on the Image Trail: Uncovering the Past and Predicting the Future. BigMM 2017: 26-32 - Raghuraman Gopalan:
Image Clustering under Domain Shift. BigMM 2017: 74-77 - Ashish Gupta, Alper Yilmaz:
Subspace Projection Methods for Large Scale Image Data Analysis. BigMM 2017: 260-267 - Hiroshi Honjo, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi:
Constructing Geospatio-Temporal Concept Graphs from Tagged Images. BigMM 2017: 169-176 - Tongling Hu, Zechao Li, Weiyang Su, Xing Mu, Jinhui Tang:
Unsupervised Video Summaries Using Multiple Features and Image Quality. BigMM 2017: 117-120 - Gaolong Hu, Ling Xiong:
Criminisi-Based Sparse Representation for Image Inpainting. BigMM 2017: 389-393 - Jih-Jeng Huang:
Using Topic and Subjectivity Analysis for Overlapped Co-clustering Documents. BigMM 2017: 105-108 - Marco A. Hudelist, Heinrich Husslein, Bernd Münzer, Sabrina Kletz, Klaus Schoeffmann:
A Tool to Support Surgical Quality Assessment. BigMM 2017: 238-239 - Shiyu Jin, Guoping Wang:
Interactive Dodging Inside a Single Remote Sensing Image. BigMM 2017: 394-397 - Takuya Kamimura, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi:
On-line Geospatial Term Extraction from Streaming Geotagged Tweets. BigMM 2017: 322-329 - Aminata Kane:
Trend and Value Based Time Series Representation for Similarity Search. BigMM 2017: 252-259 - Jung-Un Kim, Hang-Bong Kang:
LiDAR Based 3D Object Detection Using CCD Information. BigMM 2017: 303-309 - Zhenzhong Kuang, Zongmin Li, Dan Lin, Jianping Fan:
Automatic Privacy Prediction to Accelerate Social Image Sharing. BigMM 2017: 197-200 - Zhenzhong Kuang, Zongmin Li, Tianyi Zhao, Jianping Fan:
Deep Multi-task Learning for Large-Scale Image Classification. BigMM 2017: 310-317 - Junru Li, Falei Luo, Yun Zhou, Shanshe Wang, Meng Wang, Siwei Ma:
Content Based Fast Intra Coding for AVS2. BigMM 2017: 94-97 - Peng Li, Peng Ren:
Partial Random Spherical Hashing for Large-Scale Image Retrieval. BigMM 2017: 86-89
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