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Books and Theses
- 2021
[b1]Wenchi Ma:
Object Detection and Classification based on Hierarchical Semantic Features and Deep Neural Networks. University of Kansas, Lawrence, USA, 2021
Journal Articles
- 2022
- [j4]Wenchi Ma, Xuemin Tu, Bo Luo
, Guanghui Wang:
Semantic clustering based deduction learning for image recognition and classification. Pattern Recognit. 124: 108440 (2022) - 2020
- [j3]Wenchi Ma, Kaidong Li, Guanghui Wang:
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection. IEEE Access 8: 129300-129309 (2020) - [j2]Wenju Xu, Yuanwei Wu, Wenchi Ma, Guanghui Wang:
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization. Neural Process. Lett. 51(1): 993-1006 (2020) - [j1]Wenchi Ma, Yuanwei Wu, Feng Cen, Guanghui Wang:
MDFN: Multi-scale deep feature learning network for object detection. Pattern Recognit. 100: 107149 (2020)
Conference and Workshop Papers
- 2021
- [c7]Tianxiao Zhang, Wenchi Ma, Guanghui Wang:
Six-Channel Image Representation for Cross-Domain Object Detection. ICIG (1) 2021: 171-184 - 2020
- [c6]Usman Sajid, Wenchi Ma, Guanghui Wang:
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting. ICPR 2020: 5790-5797 - [c5]Wenchi Ma, Miao Yu, Kaidong Li, Guanghui Wang:
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling. ICTAI 2020: 238-243 - [c4]Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang:
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. WACV 2020: 1044-1048 - 2018
- [c3]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song:
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) 2018: 437-468 - [c2]Wenchi Ma, Yuanwei Wu, Zongbo Wang, Guanghui Wang:
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection. ICPR 2018: 2510-2515 - 2015
- [c1]Wenchi Ma, Ruijie Wang:
Traffic flow forecasting research based on Bayesian normalized Elman neural network. SP/SPE 2015: 426-430
Informal and Other Publications
- 2021
- [i11]Tianxiao Zhang, Wenchi Ma, Guanghui Wang:
Six-channel Image Representation for Cross-domain Object Detection. CoRR abs/2101.00561 (2021) - [i10]Wenchi Ma, Xuemin Tu, Bo Luo, Guanghui Wang:
Semantic Clustering based Deduction Learning for Image Recognition and Classification. CoRR abs/2112.13165 (2021) - [i9]Wenchi Ma, Tianxiao Zhang, Guanghui Wang:
Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence. CoRR abs/2112.13310 (2021) - 2020
- [i8]Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang:
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. CoRR abs/2001.01275 (2020) - [i7]Wenchi Ma, Kaidong Li, Guanghui Wang:
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection. CoRR abs/2007.06233 (2020) - [i6]Usman Sajid, Wenchi Ma, Guanghui Wang:
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting. CoRR abs/2010.01664 (2020) - [i5]Wenchi Ma, Miao Yu, Kaidong Li, Guanghui Wang:
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling. CoRR abs/2010.08038 (2020) - 2019
- [i4]Wenju Xu, Yuanwei Wu, Wenchi Ma, Guanghui Wang:
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization. CoRR abs/1910.02101 (2019) - [i3]Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu, Guanghui Wang:
Object Detection with Convolutional Neural Networks. CoRR abs/1912.01844 (2019) - [i2]Wenchi Ma, Yuanwei Wu, Feng Cen, Guanghui Wang:
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection. CoRR abs/1912.04514 (2019) - 2018
- [i1]Wenchi Ma, Yuanwei Wu, Zongbo Wang, Guanghui Wang:
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection. CoRR abs/1809.01791 (2018)
Coauthor Index
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