Incorporating Cloud Distribution in Sky Representation. - Kuan-Chuan Peng; Tsuhan Chen (ICCV, 2013)

A framework of changing image emotion using emotion prediction. - Kuan-Chuan Peng; Kolbeinn Karlsson; Tsuhan Chen; Dong-Qing Zhang; Hong Heather Yu (ICIP, 2014)

A mixed bag of emotions: Model, predict, and transfer emotion distributions. - Kuan-Chuan Peng; Tsuhan Chen; Amir Sadovnik; Andrew C. Gallagher (CVPR, 2015)

Cross-layer features in convolutional neural networks for generic classification tasks. - Kuan-Chuan Peng; Tsuhan Chen (ICIP, 2015)

A framework of extracting multi-scale features using multiple convolutional neural networks. - Kuan-Chuan Peng; Tsuhan Chen (ICME, 2015)

Where do emotions come from? Predicting the Emotion Stimuli Map. - Kuan-Chuan Peng; Amir Sadovnik; Andrew C. Gallagher; Tsuhan Chen (ICIP, 2016)

Toward correlating and solving abstract tasks using convolutional neural networks. - Kuan-Chuan Peng; Tsuhan Chen (WACV, 2016)

Zero-Shot Deep Domain Adaptation. - Kuan-Chuan Peng; Ziyan Wu; Jan Ernst (CoRR, 2017)

Learning Compositional Visual Concepts With Mutual Consistency. - Yunye Gong; Srikrishna Karanam; Ziyan Wu 001; Kuan-Chuan Peng; Jan Ernst; Peter C. Doerschuk (CVPR, 2018)

Tell Me Where to Look: Guided Attention Inference Network. - Kunpeng Li; Ziyan Wu; Kuan-Chuan Peng; Jan Ernst; Yun Fu 001 (CVPR, 2018)

Zero-Shot Deep Domain Adaptation. - Kuan-Chuan Peng; Ziyan Wu 001; Jan Ernst (ECCV (11), 2018)

Reducing Visual Confusion with Discriminative Attention. - Lezi Wang; Ziyan Wu 001; Srikrishna Karanam; Kuan-Chuan Peng; Rajat Vikram Singh (CoRR, 2018)

Learning Without Memorizing. - Prithviraj Dhar; Rajat Vikram Singh; Kuan-Chuan Peng; Ziyan Wu; Rama Chellappa (CVPR, 2019)

Sharpen Focus: Learning With Attention Separability and Consistency. - Lezi Wang; Ziyan Wu 001; Srikrishna Karanam; Kuan-Chuan Peng; Rajat Vikram Singh; Bo Liu 005; Dimitris N. Metaxas (ICCV, 2019)

Attention Guided Anomaly Detection and Localization in Images. - Shashanka Venkataramanan; Kuan-Chuan Peng; Rajat Vikram Singh; Abhijit Mahalanobis (CoRR, 2019)

ViewSynth: Learning Local Features from Depth using View Synthesis. - Jisan Mahmud; Rajat Vikram Singh; Peri Akiva; Spondon Kundu; Kuan-Chuan Peng; Jan-Michael Frahm (BMVC, 2020)

Attention Guided Anomaly Localization in Images. - Shashanka Venkataramanan; Kuan-Chuan Peng; Rajat Vikram Singh; Abhijit Mahalanobis (ECCV (17), 2020)

Guided Attention Inference Network. - Kunpeng Li; Ziyan Wu; Kuan-Chuan Peng; Jan Ernst; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. - Lipeng Ke; Kuan-Chuan Peng; Siwei Lyu (AAAI, 2022)

Cross-Modal Knowledge Transfer Without Task-Relevant Source Data. - Sk Miraj Ahmed; Suhas Lohit; Kuan-Chuan Peng; Michael Jones 002; Amit K. Roy-Chowdhury (ECCV (34), 2022)

Iterative Self Knowledge Distillation - from Pothole Classification to Fine-Grained and Covid Recognition. - Kuan-Chuan Peng (ICASSP, 2022)

Zero-Shot Deep Domain Adaptation With Common Representation Learning. - Mohammed Kutbi; Kuan-Chuan Peng; Ziyan Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Are Deep Neural Networks SMARTer Than Second Graders? - Anoop Cherian; Kuan-Chuan Peng; Suhas Lohit; Kevin A. Smith 001; Joshua B. Tenenbaum (CVPR, 2023)

Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection. - Manish Sharma; Moitreya Chatterjee; Kuan-Chuan Peng; Suhas Lohit; Michael J. Jones 001 (ICCV (Workshops), 2023)

Cross-Domain Video Anomaly Detection without Target Domain Adaptation. - Abhishek Aich; Kuan-Chuan Peng; Amit K. Roy-Chowdhury (WACV, 2023)

Long-Tailed Anomaly Detection with Learnable Class Names. - Chih-Hui Ho; Kuan-Chuan Peng; Nuno Vasconcelos (CVPR, 2024)

Equivariant Spatio-temporal Self-supervision for LiDAR Object Detection. - Deepti Hegde; Suhas Lohit; Kuan-Chuan Peng; Michael J. Jones 001; Vishal M. Patel (ECCV (26), 2024)

Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads. - Anoop Cherian; Kuan-Chuan Peng; Suhas Lohit; Joanna Matthiesen; Kevin A. Smith 001; Josh Tenenbaum 001 (NeurIPS, 2024)

Towards Zero-shot 3D Anomaly Localization. - Yizhou Wang 006; Kuan-Chuan Peng; Yun Fu 001 (CoRR, 2024)

Long-Tailed Anomaly Detection (LTAD) Dataset. - Chih-Hui Ho; Kuan-Chuan Peng; Nuno Vasconcelos (Zenodo, 2024)

Multimodal 3D Object Detection on Unseen Domains. - Deepti Hegde; Suhas Lohit; Kuan-Chuan Peng; Michael Jones 002; Vishal Patel 001 (CVPR Workshops, 2025)

TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection. - Yoon Gyo Jung; Jaewoo Park; Jaeho Yoon; Kuan-Chuan Peng; Wonchul Kim; Andrew Beng Jin Teoh; Octavia I. Camps (CVPR, 2025)

PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector. - Kaidong Li; Tianxiao Zhang; Kuan-Chuan Peng; Guanghui Wang (CVPR Workshops, 2025)

Improving Open-World Object Localization by Discovering Background. - Ashish Singh; Michael Jones 002; Kuan-Chuan Peng; Anoop Cherian; Moitreya Chatterjee; Erik G. Learned-Miller (CVPR Workshops, 2025)

Towards Zero-shot 3D Anomaly Localization. - Yizhou Wang; Kuan-Chuan Peng; Yun Fu (WACV, 2025)

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts. - Chiao-An Yang; Kuan-Chuan Peng; Raymond A. Yeh (CoRR, 2025)