Alvin Wan

According to our database, Alvin Wan authored at least 18 papers between 2018 and 2023.

Collaborative distances:

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

2023

CathAI: fully automated coronary angiography interpretation and stenosis estimation.

Robert Avram, Jeffrey E. Olgin, Zeeshan Ahmed, Louis Verreault-Julien, Alvin Wan, Joshua Barrios, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Jean-Claude Tardif, Derek Y. So, Krishan Soni, Geoffrey H. Tison

npj Digit. Medicine, 2023

UPSCALE: Unconstrained Channel Pruning.

Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan

Proceedings of the International Conference on Machine Learning, 2023

AutoFocusFormer: Image Segmentation off the Grid.

Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li

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

2022

Efficiently Designing Efficient Deep Neural Networks

Alvin Wan

PhD thesis, 2022

2021

CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks.

Robert Avram, Jeffrey E. Olgin, Alvin Wan, Zeeshan Ahmed, Louis Verreault-Julien, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Derek Y. So, Krishan Soni, Geoffrey H. Tison

CoRR, 2021

NBDT: Neural-Backed Decision Tree.

Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

Proceedings of the 9th International Conference on Learning Representations, 2021

Visual Transformers: Where Do Transformers Really Belong in Vision Models?

Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda

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

FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining.

Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing.

David E. Culler, Prabal Dutta, Gabe Fierro, Joseph E. Gonzalez, Nathan Pemberton, Johann Schleier-Smith, Kalyanaraman Shankari, Alvin Wan, Thomas Zachariah

IEEE Data Eng. Bull., 2020

SegNBDT: Visual Decision Rules for Segmentation.

Alvin Wan, Daniel Ho, Younjin Song, Henk Tillman, Sarah Adel Bargal, Joseph E. Gonzalez

CoRR, 2020

Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda

CoRR, 2020

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function.

Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez

CoRR, 2020

CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort.

David E. Culler, Prabal Dutta, Gabe Fierro, Joseph E. Gonzalez, Nathan Pemberton, Johann Schleier-Smith, Kalyanaraman Shankari, Alvin Wan, Thomas Zachariah

CoRR, 2020

NBDT: Neural-Backed Decision Trees.

Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

CoRR, 2020

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.

Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning.

Vladimir Feinberg, Alvin Wan, Ion Stoica, Michael I. Jordan, Joseph E. Gonzalez, Sergey Levine

CoRR, 2018

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud.

Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions.

Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018