Xiaobao Guo

According to our database, Xiaobao Guo authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition.

Fan Zhang, Xiaobao Guo, Xiaojiang Peng, Alex C. Kot

CoRR, 2024

2023

Pace-Adaptive and Noise-Resistant Contrastive Learning for Multimodal Feature Fusion.

Xiaobao Guo, A. C. Kot, Adams Wai-Kin Kong

IEEE Trans. Multim., 2023

Deep Multimodal Sequence Fusion by Regularized Expressive Representation Distillation.

Xiaobao Guo, Adams Wai-Kin Kong, Alex C. Kot

IEEE Trans. Multim., 2023

Retrieving Multimodal Information for Augmented Generation: A Survey.

Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq R. Joty

CoRR, 2023

Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers.

Nithish Muthuchamy Selvaraj, Xiaobao Guo, Adams Wai-Kin Kong, Bingquan Shen, Alex C. Kot

CoRR, 2023

Flexible-modal Deception Detection with Audio-Visual Adapter.

Zhaoxu Li, Zitong Yu, Nithish Muthuchamy Selvaraj, Xiaobao Guo, Bingquan Shen, Adams Wai-Kin Kong, Alex C. Kot

CoRR, 2023

Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning.

Xiaobao Guo, Nithish Muthuchamy Selvaraj, Zitong Yu, Adams Wai-Kin Kong, Bingquan Shen, Alex C. Kot

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

Retrieving Multimodal Information for Augmented Generation: A Survey.

Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Do Xuan Long, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Unimodal and Crossmodal Refinement Network for Multimodal Sequence Fusion.

Xiaobao Guo, Adams Wai-Kin Kong, Huan Zhou, Xianfeng Wang, Min Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion.

Jinxing Li, Xiaobao Guo, Guangming Lu, Bob Zhang, Yong Xu, Feng Wu, David Zhang

IEEE Trans. Image Process., 2020

Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content.

Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays.

Bingzhi Chen, Jinxing Li, Xiaobao Guo, Guangming Lu

Biomed. Signal Process. Control., 2019

Single Image Reflection Removal Based on Deep Residual Learning.

Zhixin Xu, Xiaobao Guo, Guangming Lu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Mask-Most Net: Mask Approximation Based Multi-oriented Scene Text Detection Network.

Xiaobao Guo, Jinxing Li, Bingzhi Chen, Guangming Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019