Dan Wang

According to our database, Dan Wang authored at least 22 papers between 2019 and 2026.

Collaborative distances:

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

2026

ArtMesh: Part-Aware Articulated Mesh Fields with Motion-Consistent Dynamics.

Sylvia Yuan, Dan Wang, Ravi Ramamoorthi, Xinrui Cui

CoRR, May, 2026

Revisiting the Perception-Distortion Trade-off with Spatial-Semantic Guided Super-Resolution.

Dan Wang, Haiyan Sun, Shan Du, Z. Jane Wang, Zhaochong An, Serge J. Belongie, Xinrui Cui

CoRR, March, 2026

PhysConvex: Physics-Informed 3D Dynamic Convex Radiance Fields for Reconstruction and Simulation.

Dan Wang, Xinrui Cui, Serge J. Belongie, Ravi Ramamoorthi

CoRR, February, 2026

RAIGen: Rare Attribute Identification in Text-to-Image Generative Models.

Silpa Vadakkeeveetil Sreelatha, Dan Wang, Serge J. Belongie, Muhammad Awais, Anjan Dutta

CoRR, February, 2026

PPG-based continuous arterial blood pressure estimation via multi-scale cross attention fusion.

Zhonghe Tian, Aiping Liu, Junxin Chen, Dan Wang, Xun Chen

Biomed. Signal Process. Control., 2026

2025

Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction.

Kaiwen Jiang, Jia-Mu Sun, Zilu Li, Dan Wang, Tzu-Mao Li, Ravi Ramamoorthi

ACM Trans. Graph., December, 2025

StyleMorpheus: A Style-Based 3D-Aware Morphable Face Model.

Peizhi Yan, Rabab K. Ward, Dan Wang, Qiang Tang, Shan Du

CoRR, March, 2025

2024

Contrastive-Enhanced Domain Generalization With Federated Learning.

Xinhui Yu, Dan Wang, Martin J. McKeown, Z. Jane Wang

IEEE Trans. Artif. Intell., April, 2024

InNeRF: Learning Interpretable Radiance Fields for Generalizable 3D Scene Representation and Rendering.

Dan Wang, Xinrui Cui

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Coarse-To-Fine Tensor Trains for Compact Visual Representations.

Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge J. Belongie, Michael J. Kastoryano, Sagie Benaim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Few-shot 3D Point Cloud Semantic Segmentation.

Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie

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

2023

Learning Disentangled Features for Nerf-Based Face Reconstruction.

Peizhi Yan, Rabab Ward, Dan Wang, Qiang Tang, Shan Du

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Transformer-Based End-to-End Anatomical and Functional Image Fusion.

Jing Zhang, Aiping Liu, Dan Wang, Yu Liu, Z. Jane Wang, Xun Chen

IEEE Trans. Instrum. Meas., 2022

Cross-Domain Few-Shot Contrastive Learning for Hyperspectral Images Classification.

Suhua Zhang, Zhikui Chen, Dan Wang, Z. Jane Wang

IEEE Geosci. Remote. Sens. Lett., 2022

Generalizable Neural Radiance Fields for Novel View Synthesis with Transformer.

Dan Wang, Xinrui Cui, Septimiu E. Salcudean, Z. Jane Wang

CoRR, 2022

2021

Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference.

Dan Wang, Xinrui Cui, Xun Chen, Rabab Ward, Z. Jane Wang

IEEE Trans. Image Process., 2021

Multi-view 3D Reconstruction with Transformer.

Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu E. Salcudean, Z. Jane Wang, Rabab Ward

CoRR, 2021

Multi-view 3D Reconstruction with Transformers.

Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu E. Salcudean, Z. Jane Wang, Rabab Ward

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

2020

CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks.

Xinrui Cui, Dan Wang, Z. Jane Wang

IEEE Trans. Neural Networks Learn. Syst., 2020

Feature-Flow Interpretation of Deep Convolutional Neural Networks.

Xinrui Cui, Dan Wang, Z. Jane Wang

IEEE Trans. Multim., 2020

CHAIN: Concept-harmonized Hierarchical Inference Interpretation of Deep Convolutional Neural Networks.

Dan Wang, Xinrui Cui, Z. Jane Wang

CoRR, 2020

2019

Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical Interpretation.

Xinrui Cui, Dan Wang, Z. Jane Wang

IEEE Trans. Multim., 2019