Chieh-Chi Kao

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Weakly Supervised

Event Detection

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Huy Phan, Byeonggeun Kim, Vu Nguyen, Andrew Bydlon, Qingming Tang, Chieh-Chi Kao, Chao Wang
Cross-Triggering Issue in Audio Event Detection and Mitigation. ICASSP (2024)
Guan-Ting Lin, Qingming Tang, Chieh-Chi Kao, Viktor Rozgic, Chao Wang
Weight-Sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints. ICASSP (2023)
Meng Feng, Chieh-Chi Kao, Qingming Tang, Amit Solomon, Viktor Rozgic, Chao Wang
FedRPO: Federated Relaxed Pareto Optimization for Acoustic Event Classification. ICASSP (2023)
Guan-Ting Lin, Qingming Tang, Chieh-Chi Kao, Viktor Rozgic, Chao Wang
Weight-sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints. CoRR (2023)
Qin Zhang, Qingming Tang, Chieh-Chi Kao, Ming Sun, Yang Liu, Chao Wang
Wikitag: Wikipedia-Based Knowledge Embeddings Towards Improved Acoustic Event Classification. ICASSP (2022)
Arman Zharmagambetov, Qingming Tang, Chieh-Chi Kao, Qin Zhang, Ming Sun, Viktor Rozgic, Jasha Droppo, Chao Wang
Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology. ICASSP (2022)
Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Federated Self-Supervised Learning for Acoustic Event Classification. ICASSP (2022)
Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Federated Self-Supervised Learning for Acoustic Event Classification. CoRR (2022)
Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang
Multi-Task Self-Supervised Pre-Training for Music Classification. CoRR (2021)
Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang
Multi-Task Self-Supervised Pre-Training for Music Classification. ICASSP (2021)
Anthea Cheung, Qingming Tang, Chieh-Chi Kao, Ming Sun, Chao Wang
Improved Student Model Training for Acoustic Event Detection Models. DCASE (2021)
Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang
Few-Shot Acoustic Event Detection Via Meta Learning. ICASSP (2020)
Chieh-Chi Kao, Yu-Xiang Wang, Jonathan Waltman, Pradeep Sen
Patch-Based Image Hallucination for Super Resolution With Detail Reconstruction From Similar Sample Images. IEEE Trans. Multim. 22 (5) (2020)
Chieh-Chi Kao, Bowen Shi, Ming Sun, Chao Wang
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling. CoRR (2020)
Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang
Few-shot acoustic event detection via meta-learning. CoRR (2020)
Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Naga Prasad Vitaladevuni
On Front-End Gain Invariant Modeling for Wake Word Spotting. INTERSPEECH (2020)
Chun-Chieh Chang, Chieh-Chi Kao, Ming Sun, Chao Wang
Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging. CoRR (2020)
Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Vitaladevuni
On Front-end Gain Invariant Modeling for Wake Word Spotting. CoRR (2020)
Chieh-Chi Kao, Bowen Shi, Ming Sun, Chao Wang
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling. INTERSPEECH (2020)
Chun-Chieh Chang, Chieh-Chi Kao, Ming Sun, Chao Wang
Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging. INTERSPEECH (2020)
Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. CoRR (2020)
Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. ICASSP (2020)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Semi-supervised Acoustic Event Detection based on tri-training. CoRR (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Compression of Acoustic Event Detection Models with Quantized Distillation. INTERSPEECH (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training. CoRR (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Compression of Acoustic Event Detection Models With Quantized Distillation. CoRR (2019)
Chieh-Chi Kao, Ming Sun, Yixin Gao, Shiv Vitaladevuni, Chao Wang
Sub-Band Convolutional Neural Networks for Small-Footprint Spoken Term Classification. INTERSPEECH (2019)
Chieh-Chi Kao, Ming Sun, Yixin Gao, Shiv Vitaladevuni, Chao Wang
Sub-band Convolutional Neural Networks for Small-footprint Spoken Term Classification. CoRR (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Semi-supervised Acoustic Event Detection Based on Tri-training. ICASSP (2019)
Qingming Tang, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Chao Wang
Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection. ICASSP (2019)
Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. INTERSPEECH (2018)
Weiran Wang, Chieh-Chi Kao, Chao Wang
A simple model for detection of rare sound events. CoRR (2018)
Chieh-Chi Kao, Yu-Xiang Wang, Jonathan Waltman, Pradeep Sen
Patch-Based Image Hallucination for Super Resolution with Detail Reconstruction from Similar Sample Images. CoRR (2018)
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
Localization-Aware Active Learning for Object Detection. ACCV (6) (2018)
Weiran Wang, Chieh-Chi Kao, Chao Wang
A Simple Model for Detection of Rare Sound Events. INTERSPEECH (2018)
Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. CoRR (2018)
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
Localization-Aware Active Learning for Object Detection. CoRR (2018)
Chieh-Chi Kao, Jui-Hsin Lai, Shao-Yi Chien
VLSI Architecture Design of Guided Filter for 30 Frames/s Full-HD Video. IEEE Trans. Circuits Syst. Video Technol. 24 (3) (2014)
Jui-Hsin Lai, Chieh-Li Chen, Po-Chen Wu, Chieh-Chi Kao, Min-Chun Hu, Shao-Yi Chien
Tennis Real Play. IEEE Trans. Multim. 14 (6) (2012)
Chieh-Chi Kao, Jui-Hsin Lai, Ja-Ling Wu, Shao-Yi Chien
Sampling Technique Analysis of Nyström Approximation in Pixel-Wise Affinity Matrix. ICME (2012)
Hsiao-Hang Su, Tse-Wei Chen, Chieh-Chi Kao, Winston H. Hsu, Shao-Yi Chien
Preference-Aware View Recommendation System for Scenic Photos Based on Bag-of-Aesthetics-Preserving Features. IEEE Trans. Multim. 14 (3-2) (2012)
Hsiao-Hang Su, Tse-Wei Chen, Chieh-Chi Kao, Winston H. Hsu, Shao-Yi Chien
Scenic photo quality assessment with bag of aesthetics-preserving features. ACM Multimedia (2011)
Jui-Hsin Lai, Chieh-Li Chen, Po-Chen Wu, Chieh-Chi Kao, Shao-Yi Chien
Tennis real play: an interactive tennis game with models from real videos. ACM Multimedia (2011)
Chieh-Chi Kao, Jui-Hsin Lai, Shao-Yi Chien
Automatic object segmentation with salient color model. ICME (2011)
Jui-Hsin Lai, Chieh-Li Chen, Chieh-Chi Kao, Shao-Yi Chien
Tennis Video 2.0: A new presentation of sports videos with content separation and rendering. J. Vis. Commun. Image Represent. 22 (3) (2011)
Jui-Hsin Lai, Chieh-Chi Kao, Shao-Yi Chien
Super-resolution sprite with foreground removal. ICME (2009)