| Deep Object Co-Segmentation W Li, O Hosseini Jafari, C Rother Asian Conference on Computer Vision (ACCV), 2018, 2018 | 159 | 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 | 154 | 2019 |
| Towards Open-Set Object Detection and Discovery J Zheng, W Li, J Hong, L Petersson, N Barnes Computer Vision and Pattern Recognition Workshops (CVPRW), 3961-3970, 2022 | 76 | 2022 |
| 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 | 53 | 2021 |
| 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 | 47 | 2019 |
| Blind image decomposition J Han, W Li, P Fang, C Sun, J Hong, MA Armin, L Petersson, H Li European Conference on Computer Vision (ECCV), 2022, 218-237, 2022 | 41 | 2022 |
| Channel and spatial attention based deep object co-segmentation J Chen, Y Chen, W Li, G Ning, M Tong, A Hilton Knowledge-Based Systems, 2020 | 37 | 2020 |
| You Only Cut Once: Boosting Data Augmentation with a Single Cut J Han, P Fang, W Li, J Hong, MA Armin, I Reid, L Petersson, H Li International Conference on Machine Learning (ICML), 2022, 2022 | 33 | 2022 |
| 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, 2020 | 33 | 2020 |
| Goss: Towards generalized open-set semantic segmentation J Hong, W Li, J Han, J Zheng, P Fang, M Harandi, L Petersson The Visual Computer 40 (4), 2391-2404, 2024 | 17 | 2024 |
| A Hyperspectral and RGB Dataset for Building Façade Segmentation N Habili, E Kwan, W Li, C Webers, J Oorloff, MA Armin, L Petersson European Conference on Computer Vision Workshop (ECCVW), 2022, 258-267, 2022 | 16 | 2022 |
| Weakly-Supervised Point Cloud Instance Segmentation With Geometric Priors H Du, X Yu, F Hussain, MA Armin, L Petersson, W Li IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 4271-4280, 2023 | 13 | 2023 |
| 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 | 9 | 2016 |
| Curved Geometric Networks for Visual Anomaly Recognition J Hong, P Fang, W Li, J Han, L Petersson, M Harandi IEEE Transactions on Neural Networks and Learning Systems, 2023 | 7 | 2023 |
| Localizing Common Objects Using Common Component Activation Map. W Li, OH Jafari, C Rother Computer Vision and Pattern Recognition Workshops (CVPRW), 2019, 2019 | 6 | 2019 |
| PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning J Hong, S Qiu, W Li, S Anwar, M Harandi, N Barnes, L Petersson arXiv preprint arXiv:2212.02011, 2022 | 4 | 2022 |
| Generalised co-salient object detection J Liu, J Zhang, R Cui, K Zhang, W Li, N Barnes arXiv preprint arXiv:2208.09668, 2022 | 3 | 2022 |
| Semantic-Aware Image Smoothing W Li, O Hosseini Jafari, C Rother Vision, Modeling, and Visualization (VMV), 2017, 2017 | 3 | 2017 |
| Image co-segmentation based on pyramid features cross-correlation network J Chen, Y Chen, W Li, Z Liu, S Liu, Z Yang Science China Information Sciences 66 (1), 119101, 2023 | 2 | 2023 |
| Semantic-Aware Image Analysis W Li University of Heidelberg, Germany, 2020 | 2 | 2020 |
Lars PeterssonSenior Principal Research Scientist, Group Leader, Data61/CSIROVerified email at data61.csiro.au
