Chunchun Li

According to our database, Chunchun Li authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Object detection for blind inspection of industrial products based on neural architecture search.

Lin Huang, Weiming Deng, Chunchun Li, Tiejun Yang

J. Intell. Manuf., October, 2024

2022

Agglomerative Clustering with Threshold Optimization via Extreme Value Theory.

Chunchun Li, Manuel Günther, Akshay Raj Dhamija, Steve Cruz, Mohsen Jafarzadeh, Touqeer Ahmad, Terrance E. Boult

Algorithms, 2022

Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions.

Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija, Ryan Rabinowitz, Steve Cruz, Chunchun Li, Terrance E. Boult

Proceedings of the International Joint Conference on Neural Networks, 2022

Variable Few Shot Class Incremental and Open World Learning.

Touqeer Ahmad, Akshay Raj Dhamija, Mohsen Jafarzadeh, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Terrance E. Boult

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Few-Shot Class Incremental Learning Leveraging Self-Supervised Features.

Touqeer Ahmad, Akshay Raj Dhamija, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Mohsen Jafarzadeh, Terrance E. Boult

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Self-Supervised Features Improve Open-World Learning.

Akshay Raj Dhamija, Touqeer Ahmad, Jonathan Schwan, Mohsen Jafarzadeh, Chunchun Li, Terrance E. Boult

CoRR, 2021

Automatic Open-World Reliability Assessment.

Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Terrance E. Boult

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

ComFu: Improving Visual Clustering by Commonality Fusion.

Chunchun Li, Manuel Günther, Terrance E. Boult

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Towards a Unifying Framework for Formal Theories of Novelty.

Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion.

Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer

CoRR, 2020

Open-World Learning Without Labels.

Mohsen Jafarzadeh, Akshay Raj Dhamija, Steve Cruz, Chunchun Li, Touqeer Ahmad, Terrance E. Boult

CoRR, 2020

Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM).

James Henrydoss, Steve Cruz, Chunchun Li, Manuel Günther, Terrance E. Boult

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Traffic-Based Automatic Detection of Browser Fingerprinting.

Rui Zhao, Edward Chow, Chunchun Li

Proceedings of the Security and Privacy in Communication Networks, 2019

Deep learning-based semantic segmentation of grain morphologies in ceramics.

Lu Zhu, Chaoli Cai, Bo Gong, Chunchun Li

Proceedings of the ICIIP 2019: 4th International Conference on Intelligent Information Processing, 2019

2018

ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering.

Chunchun Li, Manuel Günther, Terrance E. Boult

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018