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2020 – today
- 2024
[c21]Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos:
Long-Tailed Anomaly Detection with Learnable Class Names. CVPR 2024: 12435-12446- [i17]Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos
:
Long-Tailed Anomaly Detection with Learnable Class Names. CoRR abs/2403.20236 (2024) - [i16]Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel:
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection. CoRR abs/2404.11737 (2024) - [i15]Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel:
Multimodal 3D Object Detection on Unseen Domains. CoRR abs/2404.11764 (2024) - [i14]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 abs/2406.15736 (2024) - 2023
- [c20]Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum:
Are Deep Neural Networks SMARTer Than Second Graders? CVPR 2023: 10834-10844 - [c19]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: 924-932 - [c18]Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury:
Cross-Domain Video Anomaly Detection without Target Domain Adaptation. WACV 2023: 2578-2590 - [i13]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 abs/2309.16592 (2023) - 2022
- [j2]Mohammed Kutbi, Kuan-Chuan Peng, Ziyan Wu:
Zero-Shot Deep Domain Adaptation With Common Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3909-3924 (2022) - [c17]Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu:
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. AAAI 2022: 1131-1139 - [c16]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: 111-127 - [c15]Kuan-Chuan Peng:
Iterative Self Knowledge Distillation - from Pothole Classification to Fine-Grained and Covid Recognition. ICASSP 2022: 3139-3143 - [i12]Kuan-Chuan Peng:
Iterative Self Knowledge Distillation - From Pothole Classification to Fine-Grained and COVID Recognition. CoRR abs/2202.02265 (2022) - [i11]Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu:
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. CoRR abs/2202.02314 (2022) - [i10]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 abs/2209.04027 (2022) - [i9]Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury:
Cross-Domain Video Anomaly Detection without Target Domain Adaptation. CoRR abs/2212.07010 (2022) - [i8]Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum:
Are Deep Neural Networks SMARTer than Second Graders? CoRR abs/2212.09993 (2022) - 2020
- [j1]Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu:
Guided Attention Inference Network. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 2996-3010 (2020) - [c14]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 - [c13]Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis:
Attention Guided Anomaly Localization in Images. ECCV (17) 2020: 485-503
2010 – 2019
- 2019
- [c12]Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa:
Learning Without Memorizing. CVPR 2019: 5138-5146 - [c11]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: 512-521 - [i7]Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis:
Attention Guided Anomaly Detection and Localization in Images. CoRR abs/1911.08616 (2019) - [i6]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 abs/1911.10248 (2019) - 2018
- [c10]Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk:
Learning Compositional Visual Concepts With Mutual Consistency. CVPR 2018: 8659-8668 - [c9]Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu:
Tell Me Where to Look: Guided Attention Inference Network. CVPR 2018: 9215-9223 - [c8]Kuan-Chuan Peng, Ziyan Wu, Jan Ernst:
Zero-Shot Deep Domain Adaptation. ECCV (11) 2018: 793-810 - [i5]Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu:
Tell Me Where to Look: Guided Attention Inference Network. CoRR abs/1802.10171 (2018) - [i4]Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh:
Reducing Visual Confusion with Discriminative Attention. CoRR abs/1811.07484 (2018) - [i3]Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa:
Learning without Memorizing. CoRR abs/1811.08051 (2018) - 2017
- [i2]Kuan-Chuan Peng, Ziyan Wu, Jan Ernst:
Zero-Shot Deep Domain Adaptation. CoRR abs/1707.01922 (2017) - [i1]Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk:
Learning Compositional Visual Concepts with Mutual Consistency. CoRR abs/1711.06148 (2017) - 2016
- [c7]Kuan-Chuan Peng, Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen:
Where do emotions come from? Predicting the Emotion Stimuli Map. ICIP 2016: 614-618 - [c6]Kuan-Chuan Peng, Tsuhan Chen:
Toward correlating and solving abstract tasks using convolutional neural networks. WACV 2016: 1-9 - 2015
- [c5]Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik, Andrew C. Gallagher:
A mixed bag of emotions: Model, predict, and transfer emotion distributions. CVPR 2015: 860-868 - [c4]Kuan-Chuan Peng, Tsuhan Chen:
Cross-layer features in convolutional neural networks for generic classification tasks. ICIP 2015: 3057-3061 - [c3]Kuan-Chuan Peng, Tsuhan Chen:
A framework of extracting multi-scale features using multiple convolutional neural networks. ICME 2015: 1-6 - 2014
- [c2]Kuan-Chuan Peng, Kolbeinn Karlsson, Tsuhan Chen, Dong-Qing Zhang, Hong Heather Yu:
A framework of changing image emotion using emotion prediction. ICIP 2014: 4637-4641 - 2013
- [c1]Kuan-Chuan Peng, Tsuhan Chen:
Incorporating Cloud Distribution in Sky Representation. ICCV 2013: 2152-2159
Coauthor Index
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