Presentation
Schedule
The team has a total of 8 papers accepted to NeurIPS 2021. Singapore time zone is used.
Singapore Time | Session | Paper |
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Wednesday, December 8 8:30 AM - 10:00 AM |
Poster Session 2 |
Unsupervised Object-Level Representation Learning from Scene Images
J. Xie, X. Zhan, Z. Liu, Y. S. Ong, C. C. Loy in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS) [PDF] [arXiv] [Project Page] |
Wednesday, December 8 8:30 AM - 10:00 AM |
Poster Session 2 |
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
L. Jiang, B. Dai, W. Wu, C. C. Loy in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS) [PDF] [arXiv] [Project Page] [YouTube] |
Wednesday, December 8 4:30 PM - 6:00 PM |
Poster Session 3 |
K-Net: Towards Unified Image Segmentation
W. Zhang, J. Pang, K. Chen, C. C. Loy in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS) [PDF] [arXiv] [Project Page] |
Garment4D: Garment Reconstruction from Point Cloud Sequences
F. Hong, L. Pan, Z. Cai, Z. Liu in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS) [PDF] [Project Page] |
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Few-Shot Object Detection via Association and Discrimination
Y. Cao, J. Wang, Y. Jin, T. Wu, K. Chen, Z. Liu, D. Lin in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS) [PDF] [arXiv] [Project Page] |
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Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
T. Wu, L. Pan, J. Zhang, T. Wang, Z. Liu, D. Lin in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS) [PDF] [arXiv] [Project Page] |
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Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
X. Xu, X. Pan, D. Lin, B. Dai in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS) [PDF] [arXiv] [Project Page] |
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Friday, December 10 8:30 AM - 10:00 AM |
Poster Session 7 |
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
X. Pan, X. Xu, C. C. Loy, C. Theobalt, B. Dai in Proceedings of Neural Information Processing Systems, 2021 (NeurIPS) [PDF] [arXiv] [Project Page] |