Search Results for author: Rao Fu

Found 10 papers, 5 papers with code

An Efficient Person Clustering Algorithm for Open Checkout-free Groceries

no code implementations5 Aug 2022 Junde Wu, Yu Zhang, Rao Fu, Yuanpei Liu, Jing Gao

Then, to ensure that the method adapts to the dynamic and unseen person flow, we propose Graph Convolutional Network (GCN) with a simple Nearest Neighbor (NN) strategy to accurately cluster the instances of CSG.

ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model

no code implementations19 Jul 2022 Rao Fu, Xiao Zhan, YiWen Chen, Daniel Ritchie, Srinath Sridhar

Results show that our method can generate shapes consistent with text descriptions, and shapes evolve gradually as more phrases are added.

3D Shape Generation

NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation

no code implementations12 Jun 2022 Trevor Houchens, Cheng-You Lu, Shivam Duggal, Rao Fu, Srinath Sridhar

We propose Omnidirectional Distance Fields (ODFs), a new 3D shape representation that encodes geometry by storing the depth to the object's surface from any 3D position in any viewing direction.

3D Shape Representation

HRFormer: High-Resolution Vision Transformer for Dense Predict

2 code implementations NeurIPS 2021 Yuhui Yuan, Rao Fu, Lang Huang, WeiHong Lin, Chao Zhang, Xilin Chen, Jingdong Wang

We present a High-Resolution Transformer (HRFormer) that learns high-resolution representations for dense prediction tasks, in contrast to the original Vision Transformer that produces low-resolution representations and has high memory and computational cost.

Pose Estimation Semantic Segmentation

HRFormer: High-Resolution Transformer for Dense Prediction

1 code implementation18 Oct 2021 Yuhui Yuan, Rao Fu, Lang Huang, WeiHong Lin, Chao Zhang, Xilin Chen, Jingdong Wang

We present a High-Resolution Transformer (HRFormer) that learns high-resolution representations for dense prediction tasks, in contrast to the original Vision Transformer that produces low-resolution representations and has high memory and computational cost.

Image Classification Multi-Person Pose Estimation +1

Query-aware Tip Generation for Vertical Search

no code implementations19 Oct 2020 Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, Zhongyuan Wang

Existing work on tip generation does not take query into consideration, which limits the impact of tips in search scenarios.

Decision Making

RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval

1 code implementation2 Oct 2020 Rao Fu, Jie Yang, Jiawei Sun, Fang-Lue Zhang, Yu-Kun Lai, Lin Gao

Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a query shape in a repository with models belonging to the same class, which requires shape descriptors to be capable of representing detailed geometric information to discriminate shapes with globally similar structures.

3D Object Retrieval 3D Shape Retrieval

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning

1 code implementation22 Jul 2020 Junde Wu, Shuang Yu, WenTing Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng

Recently, deep learning has been adopted to the glaucoma classification task with performance comparable to that of human experts.

Classification General Classification +1

Universal, transferable and targeted adversarial attacks

1 code implementation29 Aug 2019 Junde Wu, Rao Fu

The question is: Is there existan attack that can meet all these requirements?

Time Series Simulation by Conditional Generative Adversarial Net

no code implementations25 Apr 2019 Rao Fu, Jie Chen, Shutian Zeng, Yiping Zhuang, Agus Sudjianto

Generative Adversarial Net (GAN) has been proven to be a powerful machine learning tool in image data analysis and generation.

Time Series

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