Alert button

"Time": models, code, and papers
Alert button

Component Segmentation of Engineering Drawings Using Graph Convolutional Networks

Dec 01, 2022
Wentai Zhang, Joe Joseph, Yue Yin, Liuyue Xie, Tomotake Furuhata, Soji Yamakawa, Kenji Shimada, Levent Burak Kara

Figure 1 for Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Figure 2 for Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Figure 3 for Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Figure 4 for Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Viaarxiv icon

Efficient stereo matching on embedded GPUs with zero-means cross correlation

Dec 01, 2022
Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama

Figure 1 for Efficient stereo matching on embedded GPUs with zero-means cross correlation
Figure 2 for Efficient stereo matching on embedded GPUs with zero-means cross correlation
Figure 3 for Efficient stereo matching on embedded GPUs with zero-means cross correlation
Figure 4 for Efficient stereo matching on embedded GPUs with zero-means cross correlation
Viaarxiv icon

Heterogeneous Graph Sparsification for Efficient Representation Learning

Nov 14, 2022
Chandan Chunduru, Chun Jiang Zhu, Blake Gains, Jinbo Bi

Figure 1 for Heterogeneous Graph Sparsification for Efficient Representation Learning
Figure 2 for Heterogeneous Graph Sparsification for Efficient Representation Learning
Figure 3 for Heterogeneous Graph Sparsification for Efficient Representation Learning
Figure 4 for Heterogeneous Graph Sparsification for Efficient Representation Learning
Viaarxiv icon

MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection

May 24, 2022
Sourav Chatterjee, Rohan Bopardikar, Marius Guerard, Uttam Thakore, Xiaodong Jiang

Figure 1 for MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection
Figure 2 for MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection
Figure 3 for MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection
Figure 4 for MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection
Viaarxiv icon

Fourier-Net: Fast Image Registration with Band-limited Deformation

Nov 29, 2022
Xi Jia, Joseph Bartlett, Wei Chen, Siyang Song, Tianyang Zhang, Xinxing Cheng, Wenqi Lu, Zhaowen Qiu, Jinming Duan

Figure 1 for Fourier-Net: Fast Image Registration with Band-limited Deformation
Figure 2 for Fourier-Net: Fast Image Registration with Band-limited Deformation
Figure 3 for Fourier-Net: Fast Image Registration with Band-limited Deformation
Figure 4 for Fourier-Net: Fast Image Registration with Band-limited Deformation
Viaarxiv icon

UDE: A Unified Driving Engine for Human Motion Generation

Nov 29, 2022
Zixiang Zhou, Baoyuan Wang

Figure 1 for UDE: A Unified Driving Engine for Human Motion Generation
Figure 2 for UDE: A Unified Driving Engine for Human Motion Generation
Figure 3 for UDE: A Unified Driving Engine for Human Motion Generation
Figure 4 for UDE: A Unified Driving Engine for Human Motion Generation
Viaarxiv icon

Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks

Nov 29, 2022
Yu-Shian Lin, Rui-Yang Ju, Chih-Chia Chen, Ting-Yu Lin, Jen-Shiun Chiang

Figure 1 for Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
Figure 2 for Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
Figure 3 for Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
Figure 4 for Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
Viaarxiv icon

Analysis of UAV Radar and Communication Network Coexistence with Different Multiple Access Protocols

Nov 29, 2022
Sung Joon Maeng, Jaehyun Park, Ismail Guvenc

Figure 1 for Analysis of UAV Radar and Communication Network Coexistence with Different Multiple Access Protocols
Figure 2 for Analysis of UAV Radar and Communication Network Coexistence with Different Multiple Access Protocols
Figure 3 for Analysis of UAV Radar and Communication Network Coexistence with Different Multiple Access Protocols
Figure 4 for Analysis of UAV Radar and Communication Network Coexistence with Different Multiple Access Protocols
Viaarxiv icon

Compressing Volumetric Radiance Fields to 1 MB

Nov 29, 2022
Lingzhi Li, Zhen Shen, Zhongshu Wang, Li Shen, Liefeng Bo

Figure 1 for Compressing Volumetric Radiance Fields to 1 MB
Figure 2 for Compressing Volumetric Radiance Fields to 1 MB
Figure 3 for Compressing Volumetric Radiance Fields to 1 MB
Figure 4 for Compressing Volumetric Radiance Fields to 1 MB
Viaarxiv icon

Configurable Agent With Reward As Input: A Play-Style Continuum Generation

Nov 29, 2022
Pierre Le Pelletier de Woillemont, Rémi Labory, Vincent Corruble

Figure 1 for Configurable Agent With Reward As Input: A Play-Style Continuum Generation
Figure 2 for Configurable Agent With Reward As Input: A Play-Style Continuum Generation
Figure 3 for Configurable Agent With Reward As Input: A Play-Style Continuum Generation
Figure 4 for Configurable Agent With Reward As Input: A Play-Style Continuum Generation
Viaarxiv icon