@inproceedings{cvpr2024,author={An, Zhaochong and Sun, Guolei and Liu, Yun and Liu, Fayao and Wu, Zongwei and Wang, Dan and Gool, Luc Van and Belongie, Serge},title={Rethinking Few-shot 3D Point Cloud Semantic Segmentation},booktitle={Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)},year={2024},}
ICML
Coarse-To-Fine Tensor Trains for Compact Visual Representations
Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge Belongie, J Michael Kastoryano, and 1 more author
In International Conference on Machine Learning (ICML), 2024
@inproceedings{icml2024,author={Loeschcke, Sebastian and Wang, Dan and Leth-Espensen, Christian and Belongie, Serge and Kastoryano, J Michael and Benaim, Sagie},title={Coarse-To-Fine Tensor Trains for Compact Visual Representations},booktitle={International Conference on Machine Learning (ICML)},year={2024},}
2023
TAI
Contrastive-enhanced Domain Generalization with Federated Learning
Xinhui Yu, Dan Wang, Martin McKeown, and Z. Jane Wang
IEEE Transactions on Artificial Intelligence, 2023
2022
GRSL
Cross-Domain Few-Shot Contrastive Learning for Hyperspectral Images Classification
Suhua Zhang, Zhikui Chen, Dan Wang, and Z. Jane Wang
IEEE Geoscience and Remote Sensing Letters, 2022
TIM
Transformer-Based End-to-End Anatomical and Functional Image Fusion
Jing Zhang, Aiping Liu, Dan Wang, Yu Liu, Z. Jane Wang, and 1 more author
@article{9864213,author={Zhang, Jing and Liu, Aiping and Wang, Dan and Liu, Yu and Wang, Z. Jane and Chen, Xun},title={Transformer-Based End-to-End Anatomical and Functional Image Fusion},volume={34},year={2022},doi={10.1109/TIM.2022.3200426},html=https://ieeexplore.ieee.org/abstract/document/9864213,}
2021
TIP
Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference
Dan Wang, Xinrui Cui, Xun Chen, Rabab Ward, and Z. Jane Wang
@article{9491931,author={Wang, Dan and Cui, Xinrui and Chen, Xun and Ward, Rabab and Wang, Z. Jane},journal={IEEE Transactions on Image Processing},title={Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference},volume={30},year={2021},pages={6701-6714},doi={10.1109/TIP.2021.3097187},html=https://ieeexplore.ieee.org/abstract/document/9491931,}
ICCV
Multi-View 3D Reconstruction With Transformers
Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, and 3 more authors
In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021
@inproceedings{Wang_2021_ICCV,author={Wang, Dan and Cui, Xinrui and Chen, Xun and Zou, Zhengxia and Shi, Tianyang and Salcudean, Septimiu and Wang, Z. Jane and Ward, Rabab},title={Multi-View 3D Reconstruction With Transformers},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},volume={12},month=oct,year={2021},pages={5722-5731},html=https://openaccess.thecvf.com/content/iccv2021/html/wang_multi-view_3d_reconstruction_with_transformers_iccv_2021_paper.html,}
2020
TMM
Feature-Flow Interpretation of Deep Convolutional Neural Networks
@article{9019647,author={Cui, Xinrui and Wang, Dan and Wang, Z. Jane},journal={IEEE Transactions on Multimedia},title={Feature-Flow Interpretation of Deep Convolutional Neural Networks},year={2020},volume={22},number={7},pages={1847-1861},doi={10.1109/TMM.2020.2976985},html=https://ieeexplore.ieee.org/abstract/document/9019647,}
TNNLS
CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks
Xinrui Cui*, Dan Wang*, and Z. Jane Wang
IEEE Transactions on Neural Networks and Learning Systems, Oct 2020
@article{8924894,author={Cui*, Xinrui and Wang*, Dan and Wang, Z. Jane},journal={IEEE Transactions on Neural Networks and Learning Systems},title={CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks},year={2020},volume={31},number={10},pages={4143-4156},doi={10.1109/TNNLS.2019.2952322},html=https://ieeexplore.ieee.org/abstract/document/8924894,}
2019
TMM
Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical Interpretation
@article{8653995,author={Cui, Xinrui and Wang, Dan and Wang, Z. Jane},journal={IEEE Transactions on Multimedia},title={Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical Interpretation},year={2019},volume={21},number={9},pages={2263-2276},doi={10.1109/TMM.2019.2902099},html=https://ieeexplore.ieee.org/abstract/document/8653995,}
2018
TGRS
Robust Sparse Unmixing for Hyperspectral Imagery
Dan Wang, Zhenwei Shi, and Xinrui Cui
IEEE Transactions on Geoscience and Remote Sensing, Oct 2018
@article{8082740,author={Wang, Dan and Shi, Zhenwei and Cui, Xinrui},journal={IEEE Transactions on Geoscience and Remote Sensing},title={Robust Sparse Unmixing for Hyperspectral Imagery},year={2018},volume={56},number={3},pages={1348-1359},doi={10.1109/TGRS.2017.2761912},html=https://ieeexplore.ieee.org/abstract/document/8082740,}
2017
IJRS
Multi-feature Sea–land Segmentation based on Pixel-wise Learning for Optical Remote-sensing Imagery
Dan Wang, Xinrui Cui, Fengying Xie, Zhiguo Jiang, and Zhenwei Shi
@article{sea-land,author={Wang, Dan and Cui, Xinrui and Xie, Fengying and Jiang, Zhiguo and Shi, Zhenwei},journal={International Journal of Remote Sensing},title={Multi-feature Sea–land Segmentation based on Pixel-wise Learning for Optical Remote-sensing Imagery},year={2017},volume={38},number={15},pages={4327-4347},html=https://www.tandfonline.com/doi/citedby/10.1080/01431161.2017.1317938,}
2016
IGARSS
Collaborative sparse unmixing of hyperspectral data using L2,P norm
Dan Wang, Zhenwei Shi, and Wei Tang
In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Oct 2016
@inproceedings{7730820,title={Collaborative sparse unmixing of hyperspectral data using L2,P norm},author={Wang, Dan and Shi, Zhenwei and Tang, Wei},booktitle={2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},year={2016},volume={},number={},pages={6978-6981},doi={10.1109/IGARSS.2016.7730820},html=https://ieeexplore.ieee.org/abstract/document/7730820,}