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Vision-based food nutrition estimation via RGB-D fusion network 期刊论文
FOOD CHEMISTRY, 2023, 卷号: 424, 页码: 10
作者:  Shao, Wenjing;  Min, Weiqing;  Hou, Sujuan;  Luo, Mengjiang;  Li, Tianhao;  Zheng, Yuanjie;  Jiang, Shuqiang
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/04
Food nutrient  Nutrition estimation  Food composition  Deep learning  RGB-D fusion  
Neural Radiance Fields From Sparse RGB-D Images for High-Quality View Synthesis 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8713-8728
作者:  Yuan, Yu-Jie;  Lai, Yu-Kun;  Huang, Yi-Hua;  Kobbelt, Leif;  Gao, Lin
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Novel view synthesis  neural rendering  neural radiance fields  
3D Face Reconstruction and Gaze Tracking in the HMD for Virtual Interaction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 3166-3179
作者:  Chen, Shu-Yu;  Lai, Yu-Kun;  Xia, Shihong;  Rosin, Paul L.;  Gao, Lin
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Communication  eye tracking  head-mounted display  real-time facial performance capture  user interaction  virtual reality  
CMOS-GAN: Semi-Supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 144-158
作者:  Yu, Shikang;  Han, Hu;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：15/0  |  提交时间：2023/07/12
Cross-modality synthesis  semi-supervised synthesis  cross-modality face recognition  generative adversarial networks  
CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6800-6815
作者:  Cong, Runmin;  Lin, Qinwei;  Zhang, Chen;  Li, Chongyi;  Cao, Xiaochun;  Huang, Qingming;  Zhao, Yao
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Decoding  Task analysis  Periodic structures  Middleware  Logic gates  Electronic mail  Object detection  Salient object detection  RGB-D images  cross-modality attention  cross-modality interaction  
DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7012-7024
作者:  Chen, Zuyao;  Cong, Runmin;  Xu, Qianqian;  Huang, Qingming
收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01
Logic gates  Object detection  Contamination  Task analysis  Saliency detection  Computer science  Image color analysis  Salient object detection  RGB-D images  depth potentiality perception  gated multi-modality attention  
Decomposition and Completion Network for Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6226-6239
作者:  Wu, Zhe;  Su, Li;  Huang, Qingming
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
Image edge detection  Skeleton  Task analysis  Object detection  Predictive models  Feature extraction  Decoding  Salient object detection  cross-task aggregation  cross-layer aggregation  saliency completion  
Realtime and Accurate 3D Eye Gaze Capture with DCNN-Based Iris and Pupil Segmentation 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 卷号: 27, 期号: 1, 页码: 190-203
作者:  Wang, Zhiyong;  Chai, Jinxiang;  Xia, Shihong
收藏  |  浏览/下载：30/0  |  提交时间：2021/12/01
Three-dimensional displays  Gaze tracking  Iris  Cameras  Convolutional neural nets  Image reconstruction  Videos  3D eye gaze tracking  convolutional neural network  facial capture  
Image Representations With Spatial Object-to-Object Relations for RGB-D Scene Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 525-537
作者:  Song, Xinhang;  Jiang, Shuqiang;  Wang, Bohan;  Chen, Chengpeng;  Chen, Gongwei
收藏  |  浏览/下载：41/0  |  提交时间：2020/12/10
Feature extraction  Object detection  Image recognition  Layout  Data models  Recurrent neural networks  Scene recognition  object-to-object relation  sequential representations  RGB-D  object detection  
Learning Effective RGB-D Representations for Scene Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 2, 页码: 980-993
作者:  Song, Xinhang;  Jiang, Shuqiang;  Herranz, Luis;  Chen, Chengpeng
收藏  |  浏览/下载：71/0  |  提交时间：2019/04/03
Scene recognition  deep learning  multimodal  RGB-D  video  CNN  RNN