Hao Ai

32 papers A* 4B 1Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement.
CoRR
Hao Ai, Wenjie Chang, Jianbo Jiao, Ales Leonardis, Eyal Ofek
2025 J jnl
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision.
CoRR
Hao Ai, Zidong Cao, Lin Wang
2025 J jnl
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision.
Int. J. Comput. Vis.
Hao Ai, Zidong Cao, Lin Wang
2025 J jnl
CUBE360: Learning Cubic Field Representation for Monocular Panoramic Depth Estimation.
IEEE Robotics Autom. Lett.
Wenjie Chang, Hao Ai, Tianzhu Zhang, Lin Wang
2025 J jnl
Dynamic Pyramid Network for Efficient Multimodal Large Language Model.
CoRR
Hao Ai, Kunyi Wang, Zezhou Wang, Hao Lu, Jin Tian, Yaxin Luo, Peng Xing, Jen-Yuan Huang, Huaxia Li, Gen Luo
2025 — conf
Learning Cubic Field Representation from A Single Panorama for Virtual Reality.
VR Workshops
Wenjie Chang, Hao Ai, Tianzhu Zhang, Lin Wang
2025 A* conf
PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation.
CVPR
Zidong Cao, Jinjing Zhu, Weiming Zhang, Hao Ai, Haotian Bai, Hengshuang Zhao, Lin Wang
2025 J jnl
Poisson Energy Formulation for Floorplanning: Variational Analysis and Mathematical Foundations.
CoRR
Wenxing Zhu, Hao Ai
2025 J jnl
Structure-Aware Feature Rectification with Region Adjacency Graphs for Training-Free Open-Vocabulary Semantic Segmentation.
CoRR
Qiming Huang, Hao Ai, Jianbo Jiao
2024 J jnl
360° High-Resolution Depth Estimation via Uncertainty-Aware Structural Knowledge Transfer.
IEEE Trans. Artif. Intell.
Zidong Cao, Hao Ai, Athanasios V. Vasilakos, Lin Wang
2024 J jnl
CSGO: Content-Style Composition in Text-to-Image Generation.
CoRR
Peng Xing, Haofan Wang, Yanpeng Sun, Qixun Wang, Xu Bai, Hao Ai, Renyuan Huang, Zechao Li
2024 J jnl
CUBE360: Learning Cubic Field Representation for Monocular 360 Depth Estimation for Virtual Reality.
CoRR
Wenjie Chang, Hao Ai, Tianzhu Zhang, Lin Wang
2024 J jnl
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360 Image Outpainting.
CoRR
Hao Ai, Zidong Cao, Haonan Lu, Chen Chen, Jian Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, Lin Wang
2024 J jnl
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting.
IEEE Trans. Vis. Comput. Graph.
Hao Ai, Zidong Cao, Haonan Lu, Chen Chen, Jian Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, Lin Wang
2024 A* conf
Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion.
CVPR
Hao Ai, Lin Wang
2024 J jnl
Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion.
CoRR
Hao Ai, Lin Wang
2024 J jnl
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration.
CoRR
Hao Ai, Lin Wang
2024 J jnl
Graph Neural Networks-based Parameter Design towards Large-Scale Superconducting Quantum Circuits for Crosstalk Mitigation.
CoRR
Hao Ai, Yuxi Liu
2024 J jnl
InstantIR: Blind Image Restoration with Instant Generative Reference.
CoRR
Jen-Yuan Huang, Haofan Wang, Qixun Wang, Xu Bai, Hao Ai, Peng Xing, Jen-tse Huang
2024 J jnl
InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation.
CoRR
Haofan Wang, Peng Xing, Renyuan Huang, Hao Ai, Qixun Wang, Xu Bai
2023 J jnl
360° High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer.
CoRR
Zidong Cao, Hao Ai, Lin Wang
2023 A* conf
HRDFuse: Monocular 360° Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions.
CVPR
Hao Ai, Zidong Cao, Yan-Pei Cao, Ying Shan, Lin Wang
2023 J jnl
HRDFuse: Monocular 360°Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions.
CoRR
Hao Ai, Zidong Cao, Yan-Pei Cao, Ying Shan, Lin Wang
2023 A* conf
OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution.
ICCV
Zidong Cao, Hao Ai, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Lin Wang
2023 J jnl
OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution.
CoRR
Zidong Cao, Hao Ai, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Lin Wang
2023 J jnl
Stable Diffusion Reference Only: Image Prompt and Blueprint Jointly Guided Multi-Condition Diffusion Model for Secondary Painting.
CoRR
Hao Ai, Lu Sheng
2022 — conf
A Method with Universal Transformer for Multimodal Sentiment Analysis.
AIPR
Hao Ai, Ying Liu, Jie Fang, Sheikh Faisal Rashid
2022 J jnl
Deep Learning for Omnidirectional Vision: A Survey and New Perspectives.
CoRR
Hao Ai, Zidong Cao, Jinjing Zhu, Haotian Bai, Yucheng Chen, Lin Wang
2022 J jnl
Novelty and Primacy: A Long-Term Estimator for Online Experiments.
Technometrics
Soheil Sadeghi, Somit Gupta, Stefan Gramatovici, Jiannan Lu, Hao Ai, Ruhan Zhang
2021 B conf
Gaussian Mixture Distribution Makes Data Uncertainty Learning Better.
FG
Hao Ai, Qingmin Liao, Yiyun Chen, Jiang Qian
2021 — conf
Multi-Head Attention with Disagreement Regularization for Multimodal Sentiment Analysis.
AIPR
Hao Ai, Ying Liu, Jie Fang
2021 J jnl
Novelty and Primacy: A Long-Term Estimator for Online Experiments.
CoRR
Soheil Sadeghi, Somit Gupta, Stefan Gramatovici, Jiannan Lu, Hao Ai, Ruhan Zhang