Kuan-Chuan Peng

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 34

Top Topics

Anomaly Detection

Visual Concepts

Action Recognition

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin Smith, Joshua B. Tenenbaum
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads. CoRR (2024)
Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos
Long-Tailed Anomaly Detection with Learnable Class Names. CoRR (2024)
Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel
Multimodal 3D Object Detection on Unseen Domains. CoRR (2024)
Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection. CoRR (2024)
Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael N. Jones
Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection. ICCV (Workshops) (2023)
Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael Jones
Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection. CoRR (2023)
Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum
Are Deep Neural Networks SMARTer Than Second Graders? CVPR (2023)
Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury
Cross-Domain Video Anomaly Detection without Target Domain Adaptation. WACV (2023)
Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael Jones, Amit K. Roy-Chowdhury
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data. ECCV (34) (2022)
Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum
Are Deep Neural Networks SMARTer than Second Graders? CoRR (2022)
Kuan-Chuan Peng
Iterative Self Knowledge Distillation - From Pothole Classification to Fine-Grained and COVID Recognition. CoRR (2022)
Mohammed Kutbi, Kuan-Chuan Peng, Ziyan Wu
Zero-Shot Deep Domain Adaptation With Common Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. CoRR (2022)
Kuan-Chuan Peng
Iterative Self Knowledge Distillation - from Pothole Classification to Fine-Grained and Covid Recognition. ICASSP (2022)
Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury
Cross-Domain Video Anomaly Detection without Target Domain Adaptation. CoRR (2022)
Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Amit K. Roy-Chowdhury
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data. CoRR (2022)
Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. AAAI (2022)
Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis
Attention Guided Anomaly Localization in Images. ECCV (17) (2020)
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu
Guided Attention Inference Network. IEEE Trans. Pattern Anal. Mach. Intell. 42 (12) (2020)
Jisan Mahmud, Rajat Vikram Singh, Peri Akiva, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm
ViewSynth: Learning Local Features from Depth using View Synthesis. BMVC (2020)
Jisan Mahmud, Peri Akiva, Rajat Vikram Singh, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm
ViewSynth: Learning Local Features from Depth using View Synthesis. CoRR (2019)
Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis
Attention Guided Anomaly Detection and Localization in Images. CoRR (2019)
Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas
Sharpen Focus: Learning With Attention Separability and Consistency. ICCV (2019)
Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa
Learning Without Memorizing. CVPR (2019)
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu
Tell Me Where to Look: Guided Attention Inference Network. CoRR (2018)
Kuan-Chuan Peng, Ziyan Wu, Jan Ernst
Zero-Shot Deep Domain Adaptation. ECCV (11) (2018)
Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa
Learning without Memorizing. CoRR (2018)
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu
Tell Me Where to Look: Guided Attention Inference Network. CVPR (2018)
Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh
Reducing Visual Confusion with Discriminative Attention. CoRR (2018)
Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk
Learning Compositional Visual Concepts With Mutual Consistency. CVPR (2018)
Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk
Learning Compositional Visual Concepts with Mutual Consistency. CoRR (2017)
Kuan-Chuan Peng, Ziyan Wu, Jan Ernst
Zero-Shot Deep Domain Adaptation. CoRR (2017)
Kuan-Chuan Peng, Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen
Where do emotions come from? Predicting the Emotion Stimuli Map. ICIP (2016)
Kuan-Chuan Peng, Tsuhan Chen
Toward correlating and solving abstract tasks using convolutional neural networks. WACV (2016)
Kuan-Chuan Peng, Tsuhan Chen
A framework of extracting multi-scale features using multiple convolutional neural networks. ICME (2015)
Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik, Andrew C. Gallagher
A mixed bag of emotions: Model, predict, and transfer emotion distributions. CVPR (2015)
Kuan-Chuan Peng, Tsuhan Chen
Cross-layer features in convolutional neural networks for generic classification tasks. ICIP (2015)
Kuan-Chuan Peng, Kolbeinn Karlsson, Tsuhan Chen, Dong-Qing Zhang, Hong Heather Yu
A framework of changing image emotion using emotion prediction. ICIP (2014)
Kuan-Chuan Peng, Tsuhan Chen
Incorporating Cloud Distribution in Sky Representation. ICCV (2013)