Yabin Wang

According to our database, Yabin Wang authored at least 27 papers between 2020 and 2026.

Collaborative distances:

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

2026

Penny-Wise and Pound-Foolish in AI-Generated Image Detection.

Yabin Wang, Zhiwu Huang, Zhou Su, Adam Prügel-Bennett, Xiaopeng Hong

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging.

Zhilin Zhu, Yabin Wang, Zhiheng Ma, Yaguang Song, Yaowei Wang, Xiaopeng Hong

CoRR, May, 2026

Robust Deepfake Detection, NTIRE 2026 Challenge: Report.

Benedikt Hopf, Radu Timofte, Chenfan Qu, Junchi Li, Fei Wu, Dagong Lu, Mufeng Yao, Xinlei Xu, Fengjun Guo, Yongwei Tang, Zhiqiang Yang, Zhiqiang Wu, Jia Wen Seow, Hong Vin Koay, Haodong Ren, Feng Xu, Shuai Chen, Minh-Khoa Le-Phan, Minh-Hoang Le, Trong-Le Do, Minh-Triet Tran, Chih-Yu Jian, Yi-Fan Wang, Bang-Kang Chen, You-Chen Chao, Chia-Ming Lee, Fu-En Yang, Yu-Chiang Frank Wang, Chih-Chung Hsu, Aashish Negi, Hardik Sharma, Prateek Shaily, Jayant Kumar, Sachin Chaudhary, Akshay Dudhane, Praful Hambarde, Amit Shukla, Jielun Peng, Yabin Wang, Yaqi Li, Jincheng Liu, Xiaopeng Hong, Krish Wadhwani, Liam Fitzpatrick, Utkarsh Tiwari, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Cristian Lazo Quispe, Aishwarya A, Akshara S, Ashwathi N, Jiachen Tu, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Yaokun Shi

CoRR, April, 2026

Leave No Stone Unturned: Uncovering Holistic Audio-Visual Intrinsic Coherence for Deepfake Detection.

Jielun Peng, Yabin Wang, Yaqi Li, Long Kong, Xiaopeng Hong

CoRR, March, 2026

Asymmetric modal fusion for multi-modal crowd counting.

Chenhao Wang, Xiaopeng Hong, Zhiheng Ma, Yabin Wang, Yupeng Wei, Jinpeng Zhang

Pattern Recognit., 2026

Linguistic profiling of deepfakes: An open database for next-Generation deepfake detection.

Yabin Wang, Xiaopeng Hong, Yaqi Li, Zhiheng Ma, Zhiwu Huang

Pattern Recognit., 2026

Dual-Attention based prompt generation and catalyzing for instance-wise continual learning.

Yong Dai, Xiaopeng Hong, Yabin Wang, Zhiheng Ma, Jinfeng Yang, Dongmei Jiang, Yaowei Wang

Pattern Recognit., 2026

2025

Prompt Customization for Continual Learning.

Yong Dai, Xiaopeng Hong, Yabin Wang, Zhiheng Ma, Dongmei Jiang, Yaowei Wang

IEEE Trans. Artif. Intell., May, 2025

A Benchmark for Incremental Micro-expression Recognition.

Zhengqin Lai, Xiaopeng Hong, Yabin Wang, Xiaobai Li

CoRR, January, 2025

Energy Efficient Multi-Robot Task Allocation Constrained by Time Window and Precedence.

Lixuan Zhang, Jianzhuang Zhao, Edoardo Lamon, Yabin Wang, Xiaopeng Hong

IEEE Trans Autom. Sci. Eng., 2025

OpenSDI: Spotting Diffusion-Generated Images in the Open World.

Yabin Wang, Zhiwu Huang, Xiaopeng Hong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Token-based deep reinforcement learning for Heterogeneous VRP with Service Time Constraints.

Yujun Wang, Xiaopeng Hong, Yabin Wang, Junzhou Zhao, Guanghui Sun, Baoxing Qin

Knowl. Based Syst., 2024

Penny-Wise and Pound-Foolish in Deepfake Detection.

Yabin Wang, Zhiwu Huang, Zhou Su, Adam Prügel-Bennett, Xiaopeng Hong

CoRR, 2024

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection.

Yabin Wang, Zhiwu Huang, Zhiheng Ma, Xiaopeng Hong

CoRR, 2024

Multimodal Blockwise Transformer for Robust Sentiment Recognition.

Zhengqin Lai, Xiaopeng Hong, Yabin Wang

Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing, 2024

Multi-modal Crowd Counting via Modal Emulation.

Chenhao Wang, Xiaopeng Hong, Zhiheng Ma, Yupeng Wei, Yabin Wang, Xiaopeng Fan

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Remind of the Past: Incremental Learning with Analogical Prompts.

Zhiheng Ma, Xiaopeng Hong, Beinan Liu, Yabin Wang, Pinyue Guo, Huiyun Li

CoRR, 2023

Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning.

Yabin Wang, Xiaopeng Hong, Zhiheng Ma, Tiedong Ma, Baoxing Qin, Zhou Su

CoRR, 2023

Benchmarking Deepart Detection.

Yabin Wang, Zhiwu Huang, Xiaopeng Hong

CoRR, 2023

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials.

Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference.

Yabin Wang, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su, Xiaopeng Hong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ECCNAS: Efficient Crowd Counting Neural Architecture Search.

Yabin Wang, Zhiheng Ma, Xing Wei, Shuai Zheng, Yaowei Wang, Xiaopeng Hong

ACM Trans. Multim. Comput. Commun. Appl., 2022

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning.

Yabin Wang, Zhiwu Huang, Xiaopeng Hong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Object Counting: You Only Need to Look at One.

Hui Lin, Xiaopeng Hong, Yabin Wang

CoRR, 2021

A Hardware-adaptive Deep Feature Matching Pipeline for Real-time 3D Reconstruction.

Shuai Zheng, Yabin Wang, Baotong Li, Xin Li

Comput. Aided Des., 2021

VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results.

Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Deep memory network with Bi-LSTM for personalized context-aware citation recommendation.

Jie Wang, Li Zhu, Tao Dai, Yabin Wang

Neurocomputing, 2020