Taian Guo

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

Collaborative distances:

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

2024

Multimodal Label Relevance Ranking via Reinforcement Learning.

Taian Guo, Taolin Zhang, Haoqian Wu, Hanjun Li, Ruizhi Qiao, Xing Sun

CoRR, 2024

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.

Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang

CoRR, 2024

2023

Unified and Dynamic Graph for Temporal Character Grouping in Long Videos.

Xiujun Shu, Wei Wen, Liangsheng Xu, Mingbao Lin, Ruizhi Qiao, Taian Guo, Hanjun Li, Bei Gan, Xiao Wang, Xing Sun

CoRR, 2023

D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation.

Hanjun Li, Xiujun Shu, Sunan He, Ruizhi Qiao, Wei Wen, Taian Guo, Bei Gan, Xing Sun

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

Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer.

Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia

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

2022

VLMAE: Vision-Language Masked Autoencoder.

Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Chen Wu, Xiujun Shu, Bo Ren

CoRR, 2022

Exploiting Feature Diversity for Make-up Temporal Video Grounding.

Xiujun Shu, Wei Wen, Taian Guo, Sunan He, Chen Wu, Ruizhi Qiao

CoRR, 2022

Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer.

Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Bo Ren, Shu-Tao Xia

CoRR, 2022

2021

S2A: Scale-Attention-Aware Networks for Video Super-Resolution.

Taian Guo, Tao Dai, Ling Liu, Zexuan Zhu, Shu-Tao Xia

Entropy, 2021

2020

MuCAN: Multi-correspondence Aggregation Network for Video Super-Resolution.

Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble.

Jiawei Li, Yiming Li, Jiacheng Yang, Taian Guo, Shu-Tao Xia

Aust. J. Intell. Inf. Process. Syst., 2019

Self-attentive Pyramid Network for Single Image De-raining.

Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia

Proceedings of the Neural Information Processing - 26th International Conference, 2019

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results.

Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen

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

AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results.

Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai

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