Kuan-Chuan Peng

56 papers A* 11A 5B 3Misc 1Journal 28Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Auto-Vocabulary 3D Object Detection. CoRR Haomeng Zhang, Kuan-Chuan Peng, Suhas Lohit, Raymond A. Yeh
2025	—	`conf`	Improving Open-World Object Localization by Discovering Background. CVPR Workshops Ashish Singh, Michael Jones, Kuan-Chuan Peng, Anoop Cherian, Moitreya Chatterjee, Erik G. Learned-Miller
2025	J	`jnl`	Improving Open-World Object Localization by Discovering Background. CoRR Ashish Singh, Michael J. Jones, Kuan-Chuan Peng, Anoop Cherian, Moitreya Chatterjee, Erik G. Learned-Miller
2025	J	`jnl`	Joint Training of Image Generator and Detector for Road Defect Detection. CoRR Kuan-Chuan Peng
2025	—	`conf`	Multimodal 3D Object Detection on Unseen Domains. CVPR Workshops Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael Jones, Vishal Patel
2025	—	`conf`	PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector. CVPR Workshops Kaidong Li, Tianxiao Zhang, Kuan-Chuan Peng, Guanghui Wang
2025	J	`jnl`	PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector. CoRR Kaidong Li, Tianxiao Zhang, Kuan-Chuan Peng, Guanghui Wang
2025	A*	`conf`	TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection. CVPR Yoon Gyo Jung, Jaewoo Park, Jaeho Yoon, Kuan-Chuan Peng, Wonchul Kim, Andrew Beng Jin Teoh, Octavia I. Camps
2025	J	`jnl`	TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection. CoRR Yoon Gyo Jung, Jaewoo Park, Jaeho Yoon, Kuan-Chuan Peng, Wonchul Kim, Andrew Beng Jin Teoh, Octavia I. Camps
2025	J	`jnl`	Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts. CoRR Chiao-An Yang, Kuan-Chuan Peng, Raymond A. Yeh
2025	J	`jnl`	Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes. CoRR Xinhao Xiang, Kuan-Chuan Peng, Suhas Lohit, Michael J. Jones, Jiawei Zhang
2025	A	`conf`	Towards Zero-shot 3D Anomaly Localization. WACV Yizhou Wang, Kuan-Chuan Peng, Yun Fu
2025	J	`jnl`	WISE: Weighted Iterative Society-of-Experts for Robust Multimodal Multi-Agent Debate. CoRR Anoop Cherian, River Doyle, Eyal Ben-Dov, Suhas Lohit, Kuan-Chuan Peng
2024	J	`jnl`	Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection. CoRR Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel
2024	—	`conf`	Equivariant Spatio-temporal Self-supervision for LiDAR Object Detection. ECCV (26) Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel
2024	A*	`conf`	Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads. NeurIPS Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin A. Smith, Josh Tenenbaum
2024	J	`jnl`	Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads. CoRR Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin Smith, Joshua B. Tenenbaum
2024	A*	`conf`	Long-Tailed Anomaly Detection with Learnable Class Names. CVPR Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos
2024	J	`jnl`	Long-Tailed Anomaly Detection with Learnable Class Names. CoRR Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos
2024	J	`jnl`	Multimodal 3D Object Detection on Unseen Domains. CoRR Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel
2024	J	`jnl`	Towards Zero-shot 3D Anomaly Localization. CoRR Yizhou Wang, Kuan-Chuan Peng, Yun Fu
2023	A*	`conf`	Are Deep Neural Networks SMARTer Than Second Graders? CVPR Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum
2023	A	`conf`	Cross-Domain Video Anomaly Detection without Target Domain Adaptation. WACV Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury
2023	—	`conf`	Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection. ICCV (Workshops) Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael J. Jones
2023	J	`jnl`	Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection. CoRR Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael Jones
2022	J	`jnl`	Are Deep Neural Networks SMARTer than Second Graders? CoRR Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum
2022	J	`jnl`	Cross-Domain Video Anomaly Detection without Target Domain Adaptation. CoRR Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury
2022	—	`conf`	Cross-Modal Knowledge Transfer Without Task-Relevant Source Data. ECCV (34) Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael Jones, Amit K. Roy-Chowdhury
2022	J	`jnl`	Cross-Modal Knowledge Transfer Without Task-Relevant Source Data. CoRR Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Amit K. Roy-Chowdhury
2022	J	`jnl`	Iterative Self Knowledge Distillation - From Pothole Classification to Fine-Grained and COVID Recognition. CoRR Kuan-Chuan Peng
2022	Misc	`conf`	Iterative Self Knowledge Distillation - from Pothole Classification to Fine-Grained and Covid Recognition. ICASSP Kuan-Chuan Peng
2022	A*	`conf`	Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. AAAI Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu
2022	J	`jnl`	Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. CoRR Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu
2022	J	`jnl`	Zero-Shot Deep Domain Adaptation With Common Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Mohammed Kutbi, Kuan-Chuan Peng, Ziyan Wu
2020	—	`conf`	Attention Guided Anomaly Localization in Images. ECCV (17) Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis
2020	J	`jnl`	Guided Attention Inference Network. IEEE Trans. Pattern Anal. Mach. Intell. Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu
2020	A	`conf`	ViewSynth: Learning Local Features from Depth using View Synthesis. BMVC Jisan Mahmud, Rajat Vikram Singh, Peri Akiva, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm
2019	J	`jnl`	Attention Guided Anomaly Detection and Localization in Images. CoRR Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis
2019	A*	`conf`	Learning Without Memorizing. CVPR Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa
2019	A*	`conf`	Sharpen Focus: Learning With Attention Separability and Consistency. ICCV Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas
2019	J	`jnl`	ViewSynth: Learning Local Features from Depth using View Synthesis. CoRR Jisan Mahmud, Peri Akiva, Rajat Vikram Singh, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm
2018	A*	`conf`	Learning Compositional Visual Concepts With Mutual Consistency. CVPR Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk
2018	J	`jnl`	Learning without Memorizing. CoRR Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa
2018	J	`jnl`	Reducing Visual Confusion with Discriminative Attention. CoRR Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh
2018	A*	`conf`	Tell Me Where to Look: Guided Attention Inference Network. CVPR Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu
2018	J	`jnl`	Tell Me Where to Look: Guided Attention Inference Network. CoRR Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu
2018	—	`conf`	Zero-Shot Deep Domain Adaptation. ECCV (11) Kuan-Chuan Peng, Ziyan Wu, Jan Ernst
2017	J	`jnl`	Learning Compositional Visual Concepts with Mutual Consistency. CoRR Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk
2017	J	`jnl`	Zero-Shot Deep Domain Adaptation. CoRR Kuan-Chuan Peng, Ziyan Wu, Jan Ernst
2016	A	`conf`	Toward correlating and solving abstract tasks using convolutional neural networks. WACV Kuan-Chuan Peng, Tsuhan Chen
2016	B	`conf`	Where do emotions come from? Predicting the Emotion Stimuli Map. ICIP Kuan-Chuan Peng, Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen
2015	A	`conf`	A framework of extracting multi-scale features using multiple convolutional neural networks. ICME Kuan-Chuan Peng, Tsuhan Chen
2015	A*	`conf`	A mixed bag of emotions: Model, predict, and transfer emotion distributions. CVPR Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik, Andrew C. Gallagher
2015	B	`conf`	Cross-layer features in convolutional neural networks for generic classification tasks. ICIP Kuan-Chuan Peng, Tsuhan Chen
2014	B	`conf`	A framework of changing image emotion using emotion prediction. ICIP Kuan-Chuan Peng, Kolbeinn Karlsson, Tsuhan Chen, Dong-Qing Zhang, Hong Heather Yu
2013	A*	`conf`	Incorporating Cloud Distribution in Sky Representation. ICCV Kuan-Chuan Peng, Tsuhan Chen