Wenchi Ma

According to our database, Wenchi Ma authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Semantic clustering based deduction learning for image recognition and classification.

Wenchi Ma, Xuemin Tu, Bo Luo, Guanghui Wang

Pattern Recognit., 2022

2021

Object Detection and Classification based on Hierarchical Semantic Features and Deep Neural Networks.

Wenchi Ma

PhD thesis, 2021

Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence.

Wenchi Ma, Tianxiao Zhang, Guanghui Wang

CoRR, 2021

Six-Channel Image Representation for Cross-Domain Object Detection.

Tianxiao Zhang, Wenchi Ma, Guanghui Wang

Proceedings of the Image and Graphics - 11th International Conference, 2021

2020

MDFN: Multi-scale deep feature learning network for object detection.

Wenchi Ma, Yuanwei Wu, Feng Cen, Guanghui Wang

Pattern Recognit., 2020

Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization.

Wenju Xu, Yuanwei Wu, Wenchi Ma, Guanghui Wang

Neural Process. Lett., 2020

Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection.

Wenchi Ma, Kaidong Li, Guanghui Wang

IEEE Access, 2020

Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters.

Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling.

Wenchi Ma, Miao Yu, Kaidong Li, Guanghui Wang

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting.

Usman Sajid, Wenchi Ma, Guanghui Wang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Object Detection with Convolutional Neural Networks.

Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu, Guanghui Wang

CoRR, 2019

2018

MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection.

Wenchi Ma, Yuanwei Wu, Zongbo Wang, Guanghui Wang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2015

Traffic flow forecasting research based on Bayesian normalized Elman neural network.

Wenchi Ma, Ruijie Wang

Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015