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Li Yin
Li Yin
SylphAI
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Title
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Cited by
Year
Sylph: A hypernetwork framework for incremental few-shot object detection
L Yin, JM Perez-Rua, KJ Liang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
472022
Superpixel-enhanced pairwise conditional random field for semantic segmentation
L Sulimowicz, I Ahmad, A Aved
2018 25th IEEE International Conference on Image Processing (ICIP), 271-275, 2018
162018
Extending one-stage detection with open-world proposals
S Konan, KJ Liang, L Yin
arXiv preprint arXiv:2201.02302, 2022
132022
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
N Mehta, KJ Liang, J Huang, FJ Chu, L Yin, T Hassner
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
22024
“Rapid” regions-of-interest detection in big histopathological images
L Sulimowicz, I Ahmad
2017 IEEE International Conference on Multimedia and Expo (ICME), 595-600, 2017
22017
WS-iFSD: Weakly Supervised Incremental Few-shot Object Detection Without Forgetting
X Gong, L Yin, JM Perez-Rua, Z Wang, Z Yan
Conference on Parsimony and Learning (Proceedings Track), 2023
12023
A multi-layer approach to superpixel-based higher-order conditional random field for semantic image segmentation
L Sulimowicz, I Ahmad, A Aved
arXiv preprint arXiv:1804.02032, 2018
12018
A Two Layer Pairwise Framework to Approximate Superpixel-Based Higher-Order Conditional Random Field for Semantic Segmentation
L Sulimowicz, I Ahmad, A Aved
2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2018
2018
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