Wan, Alvin

7 publications

CVPR 2023 AutoFocusFormer: Image Segmentation Off the Grid Chen Ziwen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Li Fuxin

ICML 2023 UPSCALE: Unconstrained Channel Pruning Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan

CVPR 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

ICLR 2021 NBDT: Neural-Backed Decision Tree Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

ICCV 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 E. Gonzalez, Kurt Keutzer, Peter Vajda

CVPR 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

CVPR 2018 Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions Bichen Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer