Jason Kuen

Latest

• ImageFolder: Autoregressive Image Generation with Folded Tokens (ICLR 2025)
• ADOPD: A Large-Scale Document Page Decomposition Dataset (The Twelfth International Conference on Learning Representations 2024)
• SOHES: Self-supervised Open-world Hierarchical Entity Segmentation (The Twelfth International Conference on Learning Representations 2024)
• A Critical Analysis of Document Out-of-Distribution Detection (Findings of the Association for Computational Linguistics (EMNLP) 2023)
• Aims: All-inclusive multi-level segmentation for anything (Advances in Neural Information Processing Systems (NeurIPS) 2023)
• Ca-ssl: Class-agnostic semi-supervised learning for detection and segmentation (European Conference on Computer Vision (ECCV) 2022)
• Improving the reliability for confidence estimation (European Conference on Computer Vision (ECCV) 2022)
• Learning adaptive axis attentions in fine-tuning: Beyond fixed sparse attention patterns (Findings of the Association for Computational Linguistics (ACL) 2022)
• Meta spatio-temporal debiasing for video scene graph generation (European Conference on Computer Vision (ECCV) 2022)
• Open world entity segmentation (IEEE Transactions on Pattern Analysis and Machine Intelligence 2022)
• Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling (Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2022)
• Multi-scale aligned distillation for low-resolution detection (Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2021)
• Selfdoc: Self-supervised document representation learning (Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2021)
• Unidoc: Unified pretraining framework for document understanding (Advances in Neural Information Processing Systems (NeurIPS) 2021)
• Self-supervised relationship probing (Advances in Neural Information Processing Systems (NeurIPS) 2020)
• Recent advances in convolutional neural networks (Pattern Recognition 2018)