b'Yan Wu'

research

∙ 07/14/2022

Visuo-Tactile Manipulation Planning Using Reinforcement Learning with Affordance Representation

Robots are increasingly expected to manipulate objects in ever more unst...

Wenyu Liang, et al. ∙

research

∙ 05/24/2022

TAILOR: Teaching with Active and Incremental Learning for Object Registration

When deploying a robot to a new task, one often has to train it to detec...

Qianli Xu, et al. ∙

research

∙ 03/31/2022

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

Optical flow estimation aims to find the 2D motion field by identifying ...

Xiuchao Sui, et al. ∙

research

∙ 02/12/2022

End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation

We present an end-to-end Reinforcement Learning(RL) framework for roboti...

Tianying Wang, et al. ∙

research

∙ 12/19/2021

SAGA: Stochastic Whole-Body Grasping with Contact

Human grasping synthesis has numerous applications including AR/VR, vide...

Yan Wu, et al. ∙

research

∙ 11/23/2021

Towards Learning Universal Audio Representations

The ability to learn universal audio representations that can solve dive...

Luyu Wang, et al. ∙

research

∙ 06/08/2021

Optimization of Service Addition in Multilevel Index Model for Edge Computing

With the development of Edge Computing and Artificial Intelligence (AI) ...

Jiayan Gu, et al. ∙

research

∙ 05/28/2021

Discretization Drift in Two-Player Games

Gradient-based methods for two-player games produce rich dynamics that c...

Mihaela Rosca, et al. ∙

research

∙ 05/11/2021

A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification

Convolutional neural networks (CNNs) have been applied to learn spatial ...

Wenkai Liang, et al. ∙

research

∙ 02/20/2021

Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory

Episodic and semantic memory are critical components of the human memory...

Jason Ramapuram, et al. ∙

research

∙ 01/17/2021

Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution

This paper proposes a trilevel neural architecture search (NAS) method f...

Yan Wu, et al. ∙

research

∙ 10/28/2020

Training Generative Adversarial Networks by Solving Ordinary Differential Equations

The instability of Generative Adversarial Network (GAN) training has fre...

Chongli Qin, et al. ∙

research

∙ 10/27/2020

Neural Architecture Search of SPD Manifold Networks

In this paper, we propose a new neural architecture search (NAS) problem...

Rhea Sanjay Sukthanker, et al. ∙

research

∙ 10/21/2020

Dense Dual-Path Network for Real-time Semantic Segmentation

Semantic segmentation has achieved remarkable results with high computat...

Xinneng Yang, et al. ∙

research

∙ 07/31/2020

Neural Architecture Search as Sparse Supernet

This paper aims at enlarging the problem of Neural Architecture Search f...

Yan Wu, et al. ∙

research

∙ 07/26/2020

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...

Wei Jing, et al. ∙

research

∙ 02/06/2020

Product Kanerva Machines: Factorized Bayesian Memory

An ideal cognitively-inspired memory system would compress and organize ...

Adam Marblestone, et al. ∙

research

∙ 12/02/2019

LOGAN: Latent Optimisation for Generative Adversarial Networks

Training generative adversarial networks requires balancing of delicate ...

Yan Wu, et al. ∙

research

∙ 09/29/2019

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

Although complex-valued (CV) neural networks have shown better classific...

Yice Cao, et al. ∙

research

∙ 09/24/2019

6D Pose Estimation with Correlation Fusion

6D object pose estimation is widely applied in robotic tasks such as gra...

Yi Cheng, et al. ∙

research

∙ 09/17/2019

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...

Hongtu Zhou, et al. ∙

research

∙ 09/10/2019

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....

Chunxue Wu, et al. ∙

research

∙ 06/21/2019

Shaping Belief States with Generative Environment Models for RL

When agents interact with a complex environment, they must form and main...

Karol Gregor, et al. ∙

research

∙ 05/16/2019

Deep Compressed Sensing

Compressed sensing (CS) provides an elegant framework for recovering spa...

Yan Wu, et al. ∙

research

∙ 11/23/2018

Learning Attractor Dynamics for Generative Memory

A central challenge faced by memory systems is the robust retrieval of a...

Yan Wu, et al. ∙

research

∙ 10/15/2018

Optimizing Agent Behavior over Long Time Scales by Transporting Value

Humans spend a remarkable fraction of waking life engaged in acts of "me...

Chia-Chun Hung, et al. ∙

research

∙ 06/11/2018

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 ...

Wei Jiang, et al. ∙

research

∙ 04/19/2018

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

The automatic parking is being massively developed by car manufacturers ...

Yan Wu, et al. ∙

research

∙ 04/17/2018

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

TiEV is an autonomous driving platform implemented by Tongji University ...

Junqiao Zhao, et al. ∙

research

∙ 04/05/2018

The Kanerva Machine: A Generative Distributed Memory

We present an end-to-end trained memory system that quickly adapts to ne...

Yan Wu, et al. ∙

research

∙ 01/04/2018

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

Semantic image segmentation is one of the most challenged tasks in compu...

Tao Yang, et al. ∙

Yan Wu

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