Weihao Li
Weihao Li
Data61, CSIRO
Email verificata su data61.csiro.au - Home page
Citata da
Citata da
Deep Object Co-Segmentation
W Li, O Hosseini Jafari, C Rother
Asian Conference on Computer Vision (ACCV), 2018, 2018
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks
D Jin, Z Liu, W Li, D He, W Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2019, 2019
Incorporating Network Embedding into Markov Random Field for Better Community Detection
D Jin, X You, W Li, D He, P Cui, F Fogelman-Soulié, T Chakraborty
AAAI Conference on Artificial Intelligence (AAAI), 2019, 2019
Efficient Semantic Segmentation of Man-Made Scenes Using Fully-Connected Conditional Random Field
W Li, MY Yang
The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2016
Localizing Common Objects Using Common Component Activation Map.
W Li, OH Jafari, C Rother
CVPR Workshops, 28-31, 2019
Reinforced Attention for Few-Shot Learning and Beyond
J Hong, P Fang, W Li, T Zhang, C Simon, M Harandi, L Petersson
Computer Vision and Pattern Recognition (CVPR), 2021, 2021
ModMRF: A modularity-based Markov Random Field method for community detection
D Jin, B Zhang, Y Song, D He, Z Feng, S Chen, W Li, K Musial
Neurocomputing 405, 218-228, 2020
Semantic-Aware Image Smoothing
W Li, O Hosseini Jafari, C Rother
Vision, Modeling, and Visualization (VMV), 2017, 2017
Channel and spatial attention based deep object co-segmentation
J Chen, Y Chen, W Li, G Ning, M Tong, A Hilton
Knowledge-Based Systems 211, 106550, 2020
Semantic-Aware Image Analysis
W Li
University of Heidelberg, Germany, 2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–10