Hao Ai

According to our database, Hao Ai authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

2024

360° High-Resolution Depth Estimation via Uncertainty-Aware Structural Knowledge Transfer.

Zidong Cao, Hao Ai, Athanasios V. Vasilakos, Lin Wang

IEEE Trans. Artif. Intell., November, 2024

Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting.

Hao Ai, Zidong Cao, Haonan Lu, Chen Chen, Jian Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, Lin Wang

IEEE Trans. Vis. Comput. Graph., May, 2024

InstantIR: Blind Image Restoration with Instant Generative Reference.

Jen-Yuan Huang, Haofan Wang, Qixun Wang, Xu Bai, Hao Ai, Peng Xing, Jen-Tse Huang

CoRR, 2024

CUBE360: Learning Cubic Field Representation for Monocular 360 Depth Estimation for Virtual Reality.

Wenjie Chang, Hao Ai, Tianzhu Zhang, Lin Wang

CoRR, 2024

CSGO: Content-Style Composition in Text-to-Image Generation.

Peng Xing, Haofan Wang, Yanpeng Sun, Qixun Wang, Xu Bai, Hao Ai, Renyuan Huang, Zechao Li

CoRR, 2024

Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration.

Hao Ai, Lin Wang

CoRR, 2024

InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation.

Haofan Wang, Peng Xing, Renyuan Huang, Hao Ai, Qixun Wang, Xu Bai

CoRR, 2024

Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion.

Hao Ai, Lin Wang

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

2023

Stable Diffusion Reference Only: Image Prompt and Blueprint Jointly Guided Multi-Condition Diffusion Model for Secondary Painting.

Hao Ai, Lu Sheng

CoRR, 2023

360° High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer.

Zidong Cao, Hao Ai, Lin Wang

CoRR, 2023

OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution.

Zidong Cao, Hao Ai, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Lin Wang

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

HRDFuse: Monocular 360° Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions.

Hao Ai, Zidong Cao, Yan-Pei Cao, Ying Shan, Lin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Novelty and Primacy: A Long-Term Estimator for Online Experiments.

Soheil Sadeghi, Somit Gupta, Stefan Gramatovici, Jiannan Lu, Hao Ai, Ruhan Zhang

Technometrics, 2022

Deep Learning for Omnidirectional Vision: A Survey and New Perspectives.

Hao Ai, Zidong Cao, Jinjing Zhu, Haotian Bai, Yucheng Chen, Lin Wang

CoRR, 2022

A Method with Universal Transformer for Multimodal Sentiment Analysis.

Hao Ai, Ying Liu, Jie Fang, Sheikh Faisal Rashid

Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2021

Gaussian Mixture Distribution Makes Data Uncertainty Learning Better.

Hao Ai, Qingmin Liao, Yiyun Chen, Jiang Qian

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Multi-Head Attention with Disagreement Regularization for Multimodal Sentiment Analysis.

Hao Ai, Ying Liu, Jie Fang

Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021