b'Peng Zhou'

research

∙ 09/20/2023

Integrating Visual Foundation Models for Enhanced Robot Manipulation and Motion Planning: A Layered Approach

This paper presents a novel layered framework that integrates visual fou...

0 Chen Yang, et al. ∙

research

∙ 08/21/2023

Neuromorphic Hebbian learning with magnetic tunnel junction synapses

Neuromorphic computing aims to mimic both the function and structure of ...

0 Peng Zhou, et al. ∙

research

∙ 08/21/2023

FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly

While text-3D editing has made significant strides in leveraging score d...

0 Yuhan Li, et al. ∙

research

∙ 06/17/2023

Fair Causal Feature Selection

Causal feature selection has recently received increasing attention in m...

0 Zhaolong Ling, et al. ∙

research

∙ 05/23/2023

A Classical Architecture For Digital Quantum Computers

Scaling bottlenecks the making of digital quantum computers, posing chal...

0 Fang Zhang, et al. ∙

research

∙ 05/02/2023

Insights into Software Development Approaches: Mining Q A Repositories

Context: Software practitioners adopt approaches like DevOps, Scrum, and...

0 Arif Ali Khan, et al. ∙

research

∙ 12/29/2022

Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning

The dynamic expansion architecture is becoming popular in class incremen...

0 Bingchen Huang, et al. ∙

research

∙ 09/13/2022

A Dual-Arm Collaborative Framework for Dexterous Manipulation in Unstructured Environments with Contrastive Planning

Most object manipulation strategies for robots are based on the assumpti...

0 Shengzeng Huo, et al. ∙

research

∙ 07/06/2022

WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction

The mature development and the extension of the industry chain make the ...

0 Yaoyao Ding, et al. ∙

research

∙ 06/26/2022

Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays

We present MEMprop, the adoption of gradient-based learning to train ful...

0 Peng Zhou, et al. ∙

research

∙ 05/20/2022

Model Predictive Manipulation of Compliant Objects with Multi-Objective Optimizer and Adversarial Network for Occlusion Compensation

The robotic manipulation of compliant objects is currently one of the mo...

0 Jiaming Qi, et al. ∙

research

∙ 03/02/2022

SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks

We present a fully memristive spiking neural network (MSNN) consisting o...

0 Peng Zhou, et al. ∙

research

∙ 03/02/2022

A Fully Memristive Spiking Neural Network with Unsupervised Learning

We present a fully memristive spiking neural network (MSNN) consisting o...

0 Peng Zhou, et al. ∙

research

∙ 12/10/2021

Synchronous Unsupervised STDP Learning with Stochastic STT-MRAM Switching

The use of analog resistance states for storing weights in neuromorphic ...

0 Peng Zhou, et al. ∙

research

∙ 12/09/2021

Experimental Demonstration of Neuromorphic Network with STT MTJ Synapses

We present the first experimental demonstration of a neuromorphic networ...

0 Peng Zhou, et al. ∙

research

∙ 10/19/2021

CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis

The style-based GAN (StyleGAN) architecture achieved state-of-the-art re...

13 Peng Zhou, et al. ∙

research

∙ 10/18/2021

Keypoint-Based Bimanual Shaping of Deformable Linear Objects under Environmental Constraints using Hierarchical Action Planning

This paper addresses the problem of contact-based manipulation of deform...

0 Shengzeng Huo, et al. ∙

research

∙ 10/16/2021

Learning Cloth Folding Tasks with Refined Flow Based Spatio-Temporal Graphs

Cloth folding is a widespread domestic task that is seemingly performed ...

0 Peng Zhou, et al. ∙

research

∙ 09/03/2021

A Multi-Sensor Interface to Improve the Teaching and Learning Experience in Arc Welding Training Tasks

This paper presents the development of a multi-sensor extended reality p...

0 Hoi-Yin Lee, et al. ∙

research

∙ 07/30/2021

A Novel Approach to Model the Kinematics of Human Fingers Based on an Elliptic Multi-Joint Configuration

In this paper, we present a novel kinematic model of the human phalanges...

0 Zeyu Wu, et al. ∙

research

∙ 06/04/2021

Contour Moments Based Manipulation of Composite Rigid-Deformable Objects with Finite Time Model Estimation and Shape/Position Control

The robotic manipulation of composite rigid-deformable objects (i.e. tho...

0 Jiaming Qi, et al. ∙

research

∙ 03/16/2021

Frustrated Arrays of Nanomagnets for Efficient Reservoir Computing

We simulated our nanomagnet reservoir computer (NMRC) design on benchmar...

0 Alexander J. Edwards, et al. ∙

research

∙ 01/26/2021

Deep Video Inpainting Detection

This paper studies video inpainting detection, which localizes an inpain...

0 Peng Zhou, et al. ∙

research

∙ 01/19/2021

Towards Latent Space Based Manipulation of Elastic Rods using Autoencoder Models and Robust Centerline Extractions

The automatic shape control of deformable objects is a challenging (and ...

0 Jiaming Qi, et al. ∙

research

∙ 12/10/2020

LaSeSOM: A Latent Representation Framework for Semantic Soft Object Manipulation

Soft object manipulation has recently gained popularity within the robot...

0 Peng Zhou, et al. ∙

research

∙ 11/26/2020

Omni-GAN: On the Secrets of cGANs and Beyond

It has been an important problem to design a proper discriminator for co...

0 Peng Zhou, et al. ∙

research

∙ 11/24/2020

Path Planning with Automatic Seam Extraction over Point Cloud Models for Robotic Arc Welding

This paper presents a point cloud based robotic system for arc welding. ...

0 Peng Zhou, et al. ∙

research

∙ 06/25/2020

Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks

Conditional Generative Adversarial Networks (cGAN) were designed to gene...

0 Peng Zhou, et al. ∙

research

∙ 05/12/2020

Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition

Recognizing the expressions of partially occluded faces is a challenging...

0 Hui Ding, et al. ∙

research

∙ 04/07/2020

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Generative Adversarial Networks (GANs) have brought about rapid progress...

5 Ning Yu, et al. ∙

research

∙ 04/05/2020

FastBERT: a Self-distilling BERT with Adaptive Inference Time

Pre-trained language models like BERT have proven to be highly performan...

0 Weijie Liu, et al. ∙

research

∙ 03/25/2020

DeepStrip: High Resolution Boundary Refinement

In this paper, we target refining the boundaries in high resolution imag...

4 Peng Zhou, et al. ∙

research

∙ 03/24/2020

Reservoir Computing with Planar Nanomagnet Arrays

Reservoir computing is an emerging methodology for neuromorphic computin...

0 Peng Zhou, et al. ∙

research

∙ 11/26/2019

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

Visual aesthetic assessment has been an active research field for decade...

0 Kekai Sheng, et al. ∙

research

∙ 09/17/2019

K-BERT: Enabling Language Representation with Knowledge Graph

Pre-trained language representation models, such as BERT, capture a gene...

0 Weijie Liu, et al. ∙

research

∙ 06/12/2019

Sionnx: Automatic Unit Test Generator for ONNX Conformance

Open Neural Network Exchange (ONNX) is an open format to represent AI mo...

0 Xinli Cai, et al. ∙

research

∙ 04/03/2019

M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning

Incremental learning targets at achieving good performance on new catego...

0 Peng Zhou, et al. ∙

research

∙ 11/24/2018

Generate, Segment and Replace: Towards Generic Manipulation Segmentation

It has been witnessed an emerging demand for image manipulation segmenta...

0 Peng Zhou, et al. ∙

research

∙ 05/13/2018

Learning Rich Features for Image Manipulation Detection

Image manipulation detection is different from traditional semantic obje...

0 Peng Zhou, et al. ∙

research

∙ 03/29/2018

Two-Stream Neural Networks for Tampered Face Detection

We propose a two-stream network for face tampering detection. We train G...

0 Peng Zhou, et al. ∙

research

∙ 06/07/2017

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

Joint extraction of entities and relations is an important task in infor...

0 Suncong Zheng, et al. ∙

research

∙ 11/21/2016

Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling

Recurrent Neural Network (RNN) is one of the most popular architectures ...

0 Peng Zhou, et al. ∙

Peng Zhou

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