Yan Wu

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Google ∙ ETH Zurich ∙ Agency for Science, Technology and Research ∙ Xidian University

Training Generative Adversarial Networks by Solving Ordinary Differential Equations

The instability of Generative Adversarial Network (GAN) training has fre...
10/28/2020 ∙ by Chongli Qin, et al. ∙ 21 ∙ share

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Neural Architecture Search of SPD Manifold Networks

In this paper, we propose a new neural architecture search (NAS) problem...
10/27/2020 ∙ by Rhea Sanjay Sukthanker, et al. ∙ 0 ∙ share

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Dense Dual-Path Network for Real-time Semantic Segmentation

Semantic segmentation has achieved remarkable results with high computat...
10/21/2020 ∙ by Xinneng Yang, et al. ∙ 0 ∙ share

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Neural Architecture Search as Sparse Supernet

This paper aims at enlarging the problem of Neural Architecture Search f...
07/31/2020 ∙ by Yan Wu, et al. ∙ 7 ∙ share

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Multi-UAV Coverage Path Planning for the Inspection of Large and Complex Structures

We present a multi-UAV Coverage Path Planning (CPP) framework for the in...
07/26/2020 ∙ by Wei Jing, et al. ∙ 0 ∙ share

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Product Kanerva Machines: Factorized Bayesian Memory

An ideal cognitively-inspired memory system would compress and organize ...
02/06/2020 ∙ by Adam Marblestone, et al. ∙ 12 ∙ share

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LOGAN: Latent Optimisation for Generative Adversarial Networks

Training generative adversarial networks requires balancing of delicate ...
12/02/2019 ∙ by Yan Wu, et al. ∙ 6 ∙ share

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Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network

Although complex-valued (CV) neural networks have shown better classific...
09/29/2019 ∙ by Yice Cao, et al. ∙ 18 ∙ share

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6D Pose Estimation with Correlation Fusion

6D object pose estimation is widely applied in robotic tasks such as gra...
09/24/2019 ∙ by Yi Cheng, et al. ∙ 0 ∙ share

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Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN

Real-time multi-target path planning is a key issue in the field of auto...
09/17/2019 ∙ by Hongtu Zhou, et al. ∙ 17 ∙ share

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U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery

Vegetation is the natural linkage connecting soil, atmosphere and water....
09/10/2019 ∙ by Chunxue Wu, et al. ∙ 20 ∙ share

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Shaping Belief States with Generative Environment Models for RL

When agents interact with a complex environment, they must form and main...
06/21/2019 ∙ by Karol Gregor, et al. ∙ 3 ∙ share

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Deep Compressed Sensing

Compressed sensing (CS) provides an elegant framework for recovering spa...
05/16/2019 ∙ by Yan Wu, et al. ∙ 0 ∙ share

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Learning Attractor Dynamics for Generative Memory

A central challenge faced by memory systems is the robust retrieval of a...
11/23/2018 ∙ by Yan Wu, et al. ∙ 0 ∙ share

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Optimizing Agent Behavior over Long Time Scales by Transporting Value

Humans spend a remarkable fraction of waking life engaged in acts of "me...
10/15/2018 ∙ by Chia-Chun Hung, et al. ∙ 0 ∙ share

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DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block

For the self-driving and automatic parking, perception is the basic and ...
06/11/2018 ∙ by Wei Jiang, et al. ∙ 0 ∙ share

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VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View

The automatic parking is being massively developed by car manufacturers ...
04/19/2018 ∙ by Yan Wu, et al. ∙ 0 ∙ share

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TiEV: The Tongji Intelligent Electric Vehicle in the Intelligent Vehicle Future Challenge of China

TiEV is an autonomous driving platform implemented by Tongji University ...
04/17/2018 ∙ by Junqiao Zhao, et al. ∙ 0 ∙ share

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The Kanerva Machine: A Generative Distributed Memory

We present an end-to-end trained memory system that quickly adapts to ne...
04/05/2018 ∙ by Yan Wu, et al. ∙ 0 ∙ share

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Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions

Semantic image segmentation is one of the most challenged tasks in compu...
01/04/2018 ∙ by Tao Yang, et al. ∙ 0 ∙ share

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Yan Wu

Featured Co-authors

Luc Van Gool

Ming Li

Jun Li

Pushmeet Kohli

Peng Zhang

Karen Simonyan

Wei Jiang

Timothy Lillicrap

David Balduzzi

Alex Graves

Tao Yang

Training Generative Adversarial Networks by Solving Ordinary Differential Equations

Neural Architecture Search of SPD Manifold Networks

Dense Dual-Path Network for Real-time Semantic Segmentation

Neural Architecture Search as Sparse Supernet

Multi-UAV Coverage Path Planning for the Inspection of Large and Complex Structures

Product Kanerva Machines: Factorized Bayesian Memory

LOGAN: Latent Optimisation for Generative Adversarial Networks

Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network

6D Pose Estimation with Correlation Fusion

Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN

U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery

Shaping Belief States with Generative Environment Models for RL

Deep Compressed Sensing

Learning Attractor Dynamics for Generative Memory

Optimizing Agent Behavior over Long Time Scales by Transporting Value

DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block

VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View

TiEV: The Tongji Intelligent Electric Vehicle in the Intelligent Vehicle Future Challenge of China

The Kanerva Machine: A Generative Distributed Memory

Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions