Qingfeng Liu

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 27

Top Topics

Semantic Segmentation

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Qingfeng Liu, Mostafa El-Khamy, Kee-Bong Song
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation. CoRR (2024)
Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition. CoRR (2024)
Qingfeng Liu, Zhaoxia Leng, Mengxi Zhou, Bo Zhong
Parameters Design of Composite Resonant Circuit for Outputting Dual Frequency Signals with Different Frequency Ratios. ICIT (2023)
Sara Babakniya, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Qingfeng Liu, Kee-Bong Song, Mostafa El-Khamy, Salman Avestimehr
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models. CoRR (2023)
Behnam Gholami, Qingfeng Liu, Mostafa El-Khamy, Jungwon Lee
Multiexpert Adversarial Regularization for Robust and Data-Efficient Deep Supervised Learning. IEEE Access 10 (2022)
Qingfeng Liu, Mostafa El-Khamy
Panoptic-Deeplab-DVA: Improving Panoptic Deeplab with Dual Value Attention and Instance Boundary Aware Regression. ICIP (2022)
Qingfeng Liu, Hai Su, Mostafa El-Khamy
Deep Guidance Decoder with Semantic Boundary Learning for Boundary-Aware Semantic Segmentation. ICCE (2022)
Qingfeng Liu, Hai Su, Mostafa El-Khamy, Kee-Bong Song
DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation. ICASSP (2022)
Hao Ren, Aslan B. Wong, Wanmin Lian, Weibin Cheng, Ying Zhang, Jianwei He, Qingfeng Liu, Jiasheng Yang, Chen Jason Zhang, Kaishun Wu, Haodi Zhang
Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data. IEEE Access 9 (2021)
Qingfeng Liu, Yang Feng
Machine Collaboration. CoRR (2021)
Weihao Liu, Gaofeng Ren, Fucheng Wang, Qiguang Duan, Qingfeng Liu, Zhongchun Hu
Safety Monitoring and Stability of Building Foundation Pit Based on Fiber Bragg Grating Sensor. AIAM (ACM) (2021)
Qingfeng Liu, Mostafa El-Khamy, Dongwoon Bai, Jungwon Lee
GSANet: Semantic Segmentation with Global and Selective Attention. CoRR (2020)
Yang Feng, Qingfeng Liu
Nested Model Averaging on Solution Path for High-dimensional Linear Regression. CoRR (2020)
Qingfeng Liu, Mostafa El-Khamy, Dongwoon Bai, Jungwon Lee
GSANet: Semantic Segmentation With Global And Selective Attention. ICIP (2020)
Ajit Puthenputhussery, Qingfeng Liu, Hao Liu, Chengjun Liu
Generative and Discriminative Sparse Coding for Image Classification Applications. WACV (2018)
Jia Pan, Diyuan Liu, Genshun Wan, Jun Du, Qingfeng Liu, Zhongfu Ye
Online Speaker Adaptation for LVCSR Based on Attention Mechanism. APSIPA (2018)
Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu
Multiple Anthropological Fisher Kernel Framework and Its Application to Kinship Verification. WACV (2018)
Zhe Liu, Yuqing Song, Charlie Maere, Qingfeng Liu, Yan Zhu, Hu Lu, Deqi Yuan
A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk. ICPR (2018)
Qingfeng Liu, Zhe Liu, Yuqing Song, Yan Zhu
基于约束随机游走的肿瘤图像分割方法 (Tumor Image Segmentation Method Based on Random Walk with Constraint). 计算机科学 45 (7) (2018)
Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu
A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework and Its Applications to Visual Recognition. IEEE Trans. Multim. 19 (8) (2017)
Qingfeng Liu, Chengjun Liu
A Novel Locally Linear KNN Method With Applications to Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 28 (9) (2017)
Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu
Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization. ECCV (8) (2016)
Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu
A novel inheritable color space with application to kinship verification. WACV (2016)
Shaofei Xue, Hui Jiang, Li-Rong Dai, Qingfeng Liu
Speaker Adaptation of Hybrid NN/HMM Model for Speech Recognition Based on Singular Value Decomposition. J. Signal Process. Syst. 82 (2) (2016)
Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu
Color multi-fusion fisher vector feature for fine art painting categorization and influence analysis. WACV (2016)
Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu
SIFT flow based genetic fisher vector feature for kinship verification. ICIP (2016)
Rui Chang, Liehui Jiang, Qing Yin, Lu Ren, Qingfeng Liu
An Effective Usage and Access Control Scheme for Preventing Permission Leak in a Trusted Execution Environment. ICCNS (2016)
Shaofei Xue, Hui Jiang, Li-Rong Dai, Qingfeng Liu
Unsupervised speaker adaptation of deep neural network based on the combination of speaker codes and singular value decomposition for speech recognition. ICASSP (2015)
Chao-Lin Liu, Guantao Jin, Hongsu Wang, Qingfeng Liu, Wen-Huei Cheng, Wei-Yun Chiu, Richard Tzong-Han Tsai, Yu-Chun Wang
Textual Analysis for Studying Chinese Historical Documents and Literary Novels. ASE BD&SI (2015)
Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu
Learning the discriminative dictionary for sparse representation by a general fisher regularized model. ICIP (2015)
Qingfeng Liu, Chengjun Liu
A novel locally linear KNN model for visual recognition. CVPR (2015)
Chao-Lin Liu, Guantao Jin, Hongsu Wang, Qingfeng Liu, Wen-Huei Cheng, Wei-Yun Chiu, Richard Tzong-Han Tsai, Yu-Chun Wang
Textual Analysis for Studying Chinese Historical Documents and Literary Novels. CoRR (2015)
Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu
Novel general KNN classifier and general nearest mean classifier for visual classification. ICIP (2015)
Pan Zhou, Hui Jiang, Li-Rong Dai, Yu Hu, Qingfeng Liu
State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23 (4) (2015)
Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu
Inheritable Fisher vector feature for kinship verification. BTAS (2015)
Qingfeng Liu, Chengjun Liu
A new locally linear KNN method with an improved marginal Fisher analysis for image classification. IJCB (2014)
Qingfeng Liu, Chengjun Liu
A novel hierarchical interaction model and HITS map for action recognition in static images. SMC (2014)
Wen-Huei Cheng, Jui-Sung Yang, Wei-Yun Chiu, Chao-Lin Liu, Guantao Jin, Qingfeng Liu
Ideas, Events and Actions: The Digital Humanity Study of the Concept Formation in Modern China. DH (2014)
Shaofei Xue, Ossama Abdel-Hamid, Hui Jiang, Li-Rong Dai, Qingfeng Liu
Fast adaptation of deep neural network based on discriminant codes for speech recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22 (12) (2014)
Pan Zhou, Cong Liu, Qingfeng Liu, Li-Rong Dai, Hui Jiang
A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition. ICASSP (2013)
Jiuyan Ye, Bin Chen, Qingfeng Liu, Yu Fang
A precision agriculture management system based on Internet of Things and WebGIS. Geoinformatics (2013)
Chao-Lin Liu, Guantao Jin, Qingfeng Liu, Wei-Yun Chiu, Yih-Soong Yu
Some Chances and Challenges in Applying Language Technologies to Historical Studies in Chinese CoRR (2012)
Xuesong Wang, Lijing Li, Yuhu Cheng, Qingfeng Liu
Construction of gene regulatory networks with colored noise. Neural Comput. Appl. 21 (8) (2012)
Chao-Lin Liu, Guantao Jin, Qingfeng Liu, Wei-Yun Chiu, Yih-Soong Yu
Some Chances and Challenges in Applying Language Technologies to Historical Studies in Chinese. Int. J. Comput. Linguistics Chin. Lang. Process. 16 (1-2) (2011)
Haixia Li, Youzeng Wang, Qingfeng Liu, Sun Chuanguang
Batch scheduling jobs with learning effect to minimize the total weighted completion time. ICNC (2011)
Tian-Yi Zhao, Zhen-Hua Ling, Ming Lei, Li-Rong Dai, Qingfeng Liu
Minimum generation error training for HMM-based prediction of articulatory movements. ISCSLP (2010)
Kaishan Song, Mingming Jia, Mohsin Hafeez, Zongming Wang, Dongmei Lu, Lihong Zeng, Dianwei Liu, Bai Zhang, Jia Du, Qingfeng Liu
Land Use/Cover Characterization with MODIS Time Series Data with Hybrid Classification Mothed over Australia for 2001 and 2003. IGARSS (3) (2009)
Kaishan Song, Zongming Wang, Qingfeng Liu, Dongmei Lu, Guang Yang, Lihong Zeng, Dianwei Liu, Bai Zhang, Jia Du
Land Use/land Cover (LULC) Characterizaitoin with MODIS Time Series Data in the Amu River Basin. IGARSS (4) (2009)
Qingfeng Liu, Yoshihiko Nishiyama
Maximum empirical likelihood estimation of continuous-time models with conditional characteristic functions. Math. Comput. Simul. 78 (2-3) (2008)
Guoping Hu, Dan Liu, Qingfeng Liu, Ren-Hua Wang
Supervised Learning Approach to Optimize Ranking Function for Chinese FAQ-Finder. PAKDD (2007)
Guoping Hu, Qingfeng Liu, Yu Hu, Ren-Hua Wang
Hearer model based stress prediction for Chinese TTS system. ISCSLP (2004)
Gao Peng Chen, Gérard Bailly, Qingfeng Liu, Ren-Hua Wang
A superposed prosodic model for Chinese text-to-speech synthesis. ISCSLP (2004)
Yu Hu, Qingfeng Liu, Ren-Hua Wang
Prosody generation in Chinese synthesis using the template of quantified prosodic unit and base intonation contour. INTERSPEECH (2000)
Ren-Hua Wang, Qingfeng Liu, Yu Hu, Bo Yin, Xiaoru Wu
KD2000 Chinese Text-To-Speech System. ICMI (2000)
Ren-Hua Wang, Qingfeng Liu, Yongsheng Teng, Deyu Xia
Towards a Chinese text-to-speech system with higher naturalness. ICSLP (1998)
Ren-Hua Wang, Qingfeng Liu, Difei Tang
A new Chinese text-to-speech system with high naturalness. ICSLP (1996)