| 2025 | CVPR | Multimodal 3D Object Detection on Unseen Domains. | Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael Jones, Vishal Patel |
| 2025 | CVPR | 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 |
| 2025 | CVPR | PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector. | Kaidong Li, Tianxiao Zhang, Kuan-Chuan Peng, Guanghui Wang |
| 2025 | CVPR | Improving Open-World Object Localization by Discovering Background. | Ashish Singh, Michael Jones, Kuan-Chuan Peng, Anoop Cherian, Moitreya Chatterjee, Erik G. Learned-Miller |
| 2025 | ICCV | Toward Long-Tailed Online Anomaly Detection Through Class-Agnostic Concepts. | Chiao-An Yang, Kuan-Chuan Peng, Raymond A. Yeh |
| 2025 | WACV | Towards Zero-shot 3D Anomaly Localization. | Yizhou Wang, Kuan-Chuan Peng, Yun Fu |
| 2024 | CVPR | Long-Tailed Anomaly Detection with Learnable Class Names. | Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos |
| 2024 | ECCV | Equivariant Spatio-temporal Self-supervision for LiDAR Object Detection. | Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel |
| 2023 | CVPR | Are Deep Neural Networks SMARTer Than Second Graders? | Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum |
| 2023 | WACV | Cross-Domain Video Anomaly Detection without Target Domain Adaptation. | Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury |
| 2022 | AAAI | Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. | Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu |
| 2022 | ECCV | Cross-Modal Knowledge Transfer Without Task-Relevant Source Data. | Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael Jones, Amit K. Roy-Chowdhury |
| 2022 | ICASSP | Iterative Self Knowledge Distillation - from Pothole Classification to Fine-Grained and Covid Recognition. | Kuan-Chuan Peng |
| 2020 | BMVC | ViewSynth: Learning Local Features from Depth using View Synthesis. | Jisan Mahmud, Rajat Vikram Singh, Peri Akiva, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm |
| 2020 | ECCV | Attention Guided Anomaly Localization in Images. | Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis |
| 2019 | CVPR | Learning Without Memorizing. | Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa |
| 2019 | ICCV | 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 |
| 2018 | CVPR | Learning Compositional Visual Concepts With Mutual Consistency. | Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk |
| 2018 | CVPR | Tell Me Where to Look: Guided Attention Inference Network. | Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu |
| 2018 | ECCV | Zero-Shot Deep Domain Adaptation. | Kuan-Chuan Peng, Ziyan Wu, Jan Ernst |
| 2016 | ICIP | Where do emotions come from? Predicting the Emotion Stimuli Map. | Kuan-Chuan Peng, Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen |
| 2016 | WACV | Toward correlating and solving abstract tasks using convolutional neural networks. | Kuan-Chuan Peng, Tsuhan Chen |
| 2015 | CVPR | A mixed bag of emotions: Model, predict, and transfer emotion distributions. | Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik, Andrew C. Gallagher |
| 2015 | ICIP | Cross-layer features in convolutional neural networks for generic classification tasks. | Kuan-Chuan Peng, Tsuhan Chen |
| 2014 | ICIP | A framework of changing image emotion using emotion prediction. | Kuan-Chuan Peng, Kolbeinn Karlsson, Tsuhan Chen, Dong-Qing Zhang, Hong Heather Yu |
| 2013 | ICCV | Incorporating Cloud Distribution in Sky Representation. | Kuan-Chuan Peng, Tsuhan Chen |