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Chunchun Li
Chunchun Li
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Year
Towards a unifying framework for formal theories of novelty
T Boult, P Grabowicz, D Prijatelj, R Stern, L Holder, J Alspector, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15047†…, 2021
172021
Self-supervised features improve open-world learning
AR Dhamija, T Ahmad, J Schwan, M Jafarzadeh, C Li, TE Boult
arXiv preprint arXiv:2102.07848, 2021
92021
Automatic open-world reliability assessment
M Jafarzadeh, T Ahmad, AR Dhamija, C Li, S Cruz, TE Boult
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer†…, 2021
82021
A unifying framework for formal theories of novelty: framework, examples and discussion
TE Boult, PA Grabowicz, DS Prijatelj, R Stern, L Holder, J Alspector, ...
arXiv preprint arXiv:2012.04226, 2020
52020
Eclipse: Ensembles of centroids leveraging iteratively processed spatial eclipse clustering
C Li, M Gunther, TE Boult
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 131-140, 2018
52018
Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM)
J Henrydoss, S Cruz, C Li, M GŁnther, TE Boult
2020 IEEE International Conference on Big Data (Big Data), 441-448, 2020
32020
Open-World Learning Without Labels
M Jafarzadeh, AR Dhamija, S Cruz, C Li, T Ahmad, TE Boult
arXiv preprint arXiv:2011.12906, 2020
32020
Few-Shot Class Incremental Learning Leveraging Self-Supervised Features
T Ahmad, AR Dhamija, S Cruz, R Rabinowitz, C Li, M Jafarzadeh, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2022
12022
Variable Few Shot Class Incremental and Open World Learning
T Ahmad, AR Dhamija, M Jafarzadeh, S Cruz, R Rabinowitz, C Li, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2022
12022
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels
M Jafarzadeh, AR Dhamija, S Cruz, C Li, T Ahmad, TE Boult
arXiv e-prints, arXiv: 2011.12906, 2020
12020
Agglomerative Clustering with Threshold Optimization via Extreme Value Theory
C Li, M GŁnther, AR Dhamija, S Cruz, M Jafarzadeh, T Ahmad, TE Boult
Algorithms 15 (5), 170, 2022
2022
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
T Ahmad, M Jafarzadeh, AR Dhamija, R Rabinowitz, S Cruz, C Li, ...
arXiv preprint arXiv:2201.07894, 2022
2022
ComFu: Improving Visual Clustering by Commonality Fusion
C Li, M GŁnther, TE Boult
2021 20th IEEE International Conference on Machine Learning and Applications†…, 2021
2021
Traffic-Based Automatic Detection of Browser Fingerprinting
R Zhao, E Chow, C Li
International Conference on Security and Privacy in Communication Systems†…, 2019
2019
Supplementary Materials: Agglomerative Clustering with Threshold Optimization via Extreme Value Theory
C Li, M GŁnther, AR Dhamija, S Cruz, M Jafarzadeh, T Ahmad, TE Boult
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Articles 1–15