Binjie Mao

According to our database, Binjie Mao authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Few-shot video object segmentation with prototype evolution.

Binjie Mao, Xiyan Liu, Linsu Shi, Jiazhong Yu, Fei Li, Shiming Xiang

Neural Comput. Appl., April, 2024

MotionCharacter: Identity-Preserving and Motion Controllable Human Video Generation.

Haopeng Fang, Di Qiu, Binjie Mao, Pengfei Yan, He Tang

CoRR, 2024

Draw an Audio: Leveraging Multi-Instruction for Video-to-Audio Synthesis.

Qi Yang, Binjie Mao, Zili Wang, Xing Nie, Pengfei Gao, Ying Guo, Cheng Zhen, Pengfei Yan, Shiming Xiang

CoRR, 2024

Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues.

Xianhua He, Dashuang Liang, Song Yang, Zhanlong Hao, Hui Ma, Binjie Mao, Xi Li, Yao Wang, Pengfei Yan, Ajian Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Patch loss: A generic multi-scale perceptual loss for single image super-resolution.

Tai An, Binjie Mao, Bin Xue, Chunlei Huo, Shiming Xiang, Chunhong Pan

Pattern Recognit., July, 2023

2022

Task-aware adaptive attention learning for few-shot semantic segmentation.

Binjie Mao, Lingfeng Wang, Shiming Xiang, Chunhong Pan

Neurocomputing, 2022

Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation.

Binjie Mao, Xinbang Zhang, Lingfeng Wang, Qian Zhang, Shiming Xiang, Chunhong Pan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Knowledge Guided Metric Learning for Few-Shot Text Classification.

Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Ltaf-Net: Learning Task-Aware Adaptive Features and Refining Mask for Few-Shot Semantic Segmentation.

Binjie Mao, Lingfeng Wang, Shiming Xiang, Chunhong Pan

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.

Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019