I am Dan (Alaina) Wang, a PhD candidate in Department of Electrical and Computer Engineering at the University of British Columbia supervised by Prof. Z. Jane Wang and Prof. Tim Salcudean. My research interests are 3D reconstruction, novel view synthesis, and explainable AI.
Prior to UBC, I received my master’s degree and bachelor’s degree at Beihang university. During my master period, I worked on image segmentation and sparse representation under the supervision of Prof. Zhenwei Shi.
selected publications [view all]
- Generalizable Neural Radiance Fields for Novel View Synthesis with Transformer2022
- Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical InferenceIEEE Transactions on Image Processing 2021
- Multi-View 3D Reconstruction With TransformersIn Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Oct 2021
- Feature-Flow Interpretation of Deep Convolutional Neural NetworksIEEE Transactions on Multimedia Oct 2020
- CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural NetworksIEEE Transactions on Neural Networks and Learning Systems Oct 2020
- Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical InterpretationIEEE Transactions on Multimedia Oct 2019
- Robust Sparse Unmixing for Hyperspectral ImageryIEEE Transactions on Geoscience and Remote Sensing Oct 2018