Kuan-Chuan Peng

According to our database, Kuan-Chuan Peng authored at least 26 papers between 2013 and 2024.

Collaborative distances:

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

2024

Long-Tailed Anomaly Detection with Learnable Class Names.

Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos

CoRR, 2024

2023

Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection.

Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael Jones

CoRR, 2023

Cross-Domain Video Anomaly Detection without Target Domain Adaptation.

Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection.

Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael N. Jones

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Are Deep Neural Networks SMARTer Than Second Graders?

Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Zero-Shot Deep Domain Adaptation With Common Representation Learning.

Mohammed Kutbi, Kuan-Chuan Peng, Ziyan Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Iterative Self Knowledge Distillation - from Pothole Classification to Fine-Grained and Covid Recognition.

Kuan-Chuan Peng

Proceedings of the IEEE International Conference on Acoustics, 2022

Cross-Modal Knowledge Transfer Without Task-Relevant Source Data.

Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael Jones, Amit K. Roy-Chowdhury

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition.

Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Guided Attention Inference Network.

Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Attention Guided Anomaly Localization in Images.

Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis

Proceedings of the Computer Vision - ECCV 2020, 2020

ViewSynth: Learning Local Features from Depth using View Synthesis.

Jisan Mahmud, Rajat Vikram Singh, Peri Akiva, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Attention Guided Anomaly Detection and Localization in Images.

Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis

CoRR, 2019

Sharpen Focus: Learning With Attention Separability and Consistency.

Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Without Memorizing.

Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Reducing Visual Confusion with Discriminative Attention.

Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh

CoRR, 2018

Zero-Shot Deep Domain Adaptation.

Kuan-Chuan Peng, Ziyan Wu, Jan Ernst

Proceedings of the Computer Vision - ECCV 2018, 2018

Tell Me Where to Look: Guided Attention Inference Network.

Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Compositional Visual Concepts With Mutual Consistency.

Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Toward correlating and solving abstract tasks using convolutional neural networks.

Kuan-Chuan Peng, Tsuhan Chen

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Where do emotions come from? Predicting the Emotion Stimuli Map.

Kuan-Chuan Peng, Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A framework of extracting multi-scale features using multiple convolutional neural networks.

Kuan-Chuan Peng, Tsuhan Chen

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Cross-layer features in convolutional neural networks for generic classification tasks.

Kuan-Chuan Peng, Tsuhan Chen

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A mixed bag of emotions: Model, predict, and transfer emotion distributions.

Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik, Andrew C. Gallagher

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

A framework of changing image emotion using emotion prediction.

Kuan-Chuan Peng, Kolbeinn Karlsson, Tsuhan Chen, Dong-Qing Zhang, Hong Heather Yu

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Incorporating Cloud Distribution in Sky Representation.

Kuan-Chuan Peng, Tsuhan Chen

Proceedings of the IEEE International Conference on Computer Vision, 2013