Search Results for author: Alvin Wan

Found 14 papers, 10 papers with code

UPSCALE: Unconstrained Channel Pruning

1 code implementation17 Jul 2023 Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan

However, for multi-branch segments of a model, channel removal can introduce inference-time memory copies.

AutoFocusFormer: Image Segmentation off the Grid

1 code implementation CVPR 2023 Chen Ziwen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alex Schwing, Alex Colburn, Li Fuxin

To achieve this, we propose AutoFocusFormer (AFF), a local-attention transformer image recognition backbone, which performs adaptive downsampling by learning to retain the most important pixels for the task.

Image Segmentation Instance Segmentation +2

CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks

no code implementations14 Jun 2021 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

Our results demonstrate that multiple purpose-built neural networks can function in sequence to accomplish the complex series of tasks required for automated analysis of real-world angiograms.

Management

NBDT: Neural-Backed Decision Tree

no code implementations ICLR 2021 Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

Machine learning applications such as finance and medicine demand accurate and justifiable predictions, barring most deep learning methods from use.

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

8 code implementations5 Jun 2020 Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda

In this work, we challenge this paradigm by (a) representing images as semantic visual tokens and (b) running transformers to densely model token relationships.

General Classification Image Classification +1

NBDT: Neural-Backed Decision Trees

2 code implementations1 Apr 2020 Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

Machine learning applications such as finance and medicine demand accurate and justifiable predictions, barring most deep learning methods from use.

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

no code implementations28 Feb 2018 Vladimir Feinberg, Alvin Wan, Ion Stoica, Michael. I. Jordan, Joseph E. Gonzalez, Sergey Levine

By enabling wider use of learned dynamics models within a model-free reinforcement learning algorithm, we improve value estimation, which, in turn, reduces the sample complexity of learning.

Continuous Control reinforcement-learning +1

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

13 code implementations4 Dec 2016 Bichen Wu, Alvin Wan, Forrest Iandola, Peter H. Jin, Kurt Keutzer

In addition to requiring high accuracy to ensure safety, object detection for autonomous driving also requires real-time inference speed to guarantee prompt vehicle control, as well as small model size and energy efficiency to enable embedded system deployment.

Autonomous Driving Object +2

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