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MOSE: A New Dataset for Video Object Segmentation in Complex Scenes


Feb 03, 2023
Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H. S. Torr, Song Bai

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* MOSE Dataset Report 

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Real-Time Evaluation in Online Continual Learning: A New Paradigm


Feb 02, 2023
Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem

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Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning


Dec 09, 2022
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim

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Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs


Dec 08, 2022
Guangrun Wang, Philip H. S. Torr

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* This paper has 29 pages with 22 figures, including rich supplementary information. Project page is at \url{https://classifier-as-generator.github.io/

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Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis


Nov 12, 2022
Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe

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* Accepted to IJCV, an extended version of a paper published in BMVC 2020. arXiv admin note: substantial text overlap with arXiv:2008.04381 

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Structure-Preserving 3D Garment Modeling with Neural Sewing Machines


Nov 12, 2022
Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin

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* NeurIPS 2022 

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Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning


Oct 24, 2022
Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr

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* Journal extension of arXiv:2003.01663 

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Learn what matters: cross-domain imitation learning with task-relevant embeddings


Sep 24, 2022
Tim Franzmeyer, Philip H. S. Torr, João F. Henriques

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* NeurIPS 2022 

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Raising the Bar on the Evaluation of Out-of-Distribution Detection


Sep 24, 2022
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim

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