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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...
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08/21/2023
Neuromorphic Hebbian learning with magnetic tunnel junction synapses
Neuromorphic computing aims to mimic both the function and structure of ...
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08/21/2023
FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly
While text-3D editing has made significant strides in leveraging score d...
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06/17/2023
Fair Causal Feature Selection
Causal feature selection has recently received increasing attention in m...
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05/23/2023
A Classical Architecture For Digital Quantum Computers
Scaling bottlenecks the making of digital quantum computers, posing chal...
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05/02/2023
Insights into Software Development Approaches: Mining Q A Repositories
Context: Software practitioners adopt approaches like DevOps, Scrum, and...
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12/29/2022
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
The dynamic expansion architecture is becoming popular in class incremen...
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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...
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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 ...
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06/26/2022
Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays
We present MEMprop, the adoption of gradient-based learning to train ful...
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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...
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03/02/2022
SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks
We present a fully memristive spiking neural network (MSNN) consisting o...
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03/02/2022
A Fully Memristive Spiking Neural Network with Unsupervised Learning
We present a fully memristive spiking neural network (MSNN) consisting o...
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12/10/2021
Synchronous Unsupervised STDP Learning with Stochastic STT-MRAM Switching
The use of analog resistance states for storing weights in neuromorphic ...
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12/09/2021
Experimental Demonstration of Neuromorphic Network with STT MTJ Synapses
We present the first experimental demonstration of a neuromorphic networ...
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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...
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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...
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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 ...
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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...
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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...
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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...
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03/16/2021
Frustrated Arrays of Nanomagnets for Efficient Reservoir Computing
We simulated our nanomagnet reservoir computer (NMRC) design on benchmar...
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01/26/2021
Deep Video Inpainting Detection
This paper studies video inpainting detection, which localizes an inpain...
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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 ...
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12/10/2020
LaSeSOM: A Latent Representation Framework for Semantic Soft Object Manipulation
Soft object manipulation has recently gained popularity within the robot...
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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...
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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. ...
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06/25/2020
Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
Conditional Generative Adversarial Networks (cGAN) were designed to gene...
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05/12/2020
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition
Recognizing the expressions of partially occluded faces is a challenging...
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04/07/2020
Inclusive GAN: Improving Data and Minority Coverage in Generative Models
Generative Adversarial Networks (GANs) have brought about rapid progress...
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04/05/2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time
Pre-trained language models like BERT have proven to be highly performan...
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03/25/2020
DeepStrip: High Resolution Boundary Refinement
In this paper, we target refining the boundaries in high resolution imag...
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03/24/2020
Reservoir Computing with Planar Nanomagnet Arrays
Reservoir computing is an emerging methodology for neuromorphic computin...
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11/26/2019
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Visual aesthetic assessment has been an active research field for decade...
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09/17/2019
K-BERT: Enabling Language Representation with Knowledge Graph
Pre-trained language representation models, such as BERT, capture a gene...
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06/12/2019
Sionnx: Automatic Unit Test Generator for ONNX Conformance
Open Neural Network Exchange (ONNX) is an open format to represent AI mo...
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04/03/2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Incremental learning targets at achieving good performance on new catego...
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11/24/2018
Generate, Segment and Replace: Towards Generic Manipulation Segmentation
It has been witnessed an emerging demand for image manipulation segmenta...
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05/13/2018
Learning Rich Features for Image Manipulation Detection
Image manipulation detection is different from traditional semantic obje...
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03/29/2018
Two-Stream Neural Networks for Tampered Face Detection
We propose a two-stream network for face tampering detection. We train G...
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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...
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11/21/2016
