b'Xiao Liang'

research

∙ 09/20/2023

Real-to-Sim Deformable Object Manipulation: Optimizing Physics Models with Residual Mappings for Robotic Surgery

Accurate deformable object manipulation (DOM) is essential for achieving...

0 Xiao Liang, et al. ∙

research

∙ 09/20/2023

Achieving Autonomous Cloth Manipulation with Optimal Control via Differentiable Physics-Aware Regularization and Safety Constraints

Cloth manipulation is a category of deformable object manipulation of gr...

0 Yutong Zhang, et al. ∙

research

∙ 08/25/2023

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers

Although dominant in natural language processing, transformer-based mode...

0 Jiawen Xie, et al. ∙

research

∙ 08/06/2023

High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage

Visual inspection is predominantly used to evaluate the state of civil s...

0 Kareem Eltouny, et al. ∙

research

∙ 07/30/2023

TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction

Predicting human motion plays a crucial role in ensuring a safe and effe...

0 Sibo Tian, et al. ∙

research

∙ 07/07/2023

DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles

Ensuring the safety of human workers in a collaborative environment with...

0 Kareem A. Eltouny, et al. ∙

research

∙ 05/24/2023

ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Images

Deformable Image Registration (DIR) plays a significant role in quantify...

0 Xiao Liang, et al. ∙

research

∙ 04/05/2023

Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models

Recently, the diffusion model has emerged as a superior generative model...

0 Yunxiang Li, et al. ∙

research

∙ 02/16/2023

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation

Layout-to-image generation refers to the task of synthesizing photo-real...

0 Jiaxin Cheng, et al. ∙

research

∙ 02/03/2023

Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Can

Background and purpose: Radiation-induced erectile dysfunction (RiED) is...

0 Anjali Balagopal, et al. ∙

research

∙ 01/06/2023

CyberLoc: Towards Accurate Long-term Visual Localization

This technical report introduces CyberLoc, an image-based visual localiz...

0 Liu Liu, et al. ∙

research

∙ 10/21/2022

High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers

Visual inspection is the predominant technique for evaluating the condit...

0 Kareem Eltouny, et al. ∙

research

∙ 07/12/2022

A New Approach to Post-Quantum Non-Malleability

We provide the first 𝑐𝑜𝑛𝑠𝑡𝑎𝑛𝑡-𝑟𝑜𝑢𝑛𝑑 construction of post-quantum non-mal...

0 Xiao Liang, et al. ∙

research

∙ 06/07/2022

Exploring the combination of deep-learning based direct segmentation and deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy

CBCT-based online adaptive radiotherapy (ART) calls for accurate auto-se...

12 Xiao Liang, et al. ∙

research

∙ 04/04/2022

Dressi: A Hardware-Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterization

Differentiable rendering (DR) enables various computer graphics and comp...

0 Yusuke Takimoto, et al. ∙

research

∙ 03/08/2022

Region Specific Optimization (RSO)-based Deep Interactive Registration

Medical image registration is a fundamental and vital task which will af...

20 Ti Bai, et al. ∙

research

∙ 02/08/2022

Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy

Online adaptive radiotherapy (ART) requires accurate and efficient auto-...

8 Xiao Liang, et al. ∙

research

∙ 12/11/2021

A Note on the Post-Quantum Security of (Ring) Signatures

This work revisits the security of classical signatures and ring signatu...

0 Rohit Chatterjee, et al. ∙

research

∙ 11/16/2021

Post-Quantum Simulatable Extraction with Minimal Assumptions: Black-Box and Constant-Round

From the minimal assumption of post-quantum semi-honest oblivious transf...

0 Nai-Hui Chia, et al. ∙

research

∙ 10/29/2021

Whole Brain Segmentation with Full Volume Neural Network

Whole brain segmentation is an important neuroimaging task that segments...

36 Yeshu Li, et al. ∙

research

∙ 03/18/2021

Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Numerous task-specific variants of conditional generative adversarial ne...

11 Shengyu Zhao, et al. ∙

research

∙ 07/06/2020

A Real-Time Receding Horizon Sequence Planner for Disassembly in A Human-Robot Collaboration Setting

Product disassembly is a labor-intensive process and is far from being a...

0 Meng-Lun Lee, et al. ∙

research

∙ 07/06/2020

Including Image-based Perception in Disturbance Observer for Warehouse Drones

Grasping and releasing objects would cause oscillations to delivery dron...

0 Zhu Chen, et al. ∙

research

∙ 04/19/2020

RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning

Recent advances in the Internet of Things (IoT) technology have led to a...

0 Cheng Feng, et al. ∙

research

∙ 04/19/2020

RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Process State Estimation

Recent advances in the Internet of Things (IoT) technology have led to a...

0 Cheng Feng, et al. ∙

research

∙ 04/16/2020

Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) i

Generalizability is a concern when applying a deep learning (DL) model t...

0 Xiao Liang, et al. ∙

research

∙ 04/10/2020

Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring

Computer vision leveraging deep learning has achieved significant succes...

6 Seyed Omid Sajedi, et al. ∙

research

∙ 10/23/2019

Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures

Near real-time damage diagnosis of building structures after extreme eve...

7 Seyed Omid Sajedi, et al. ∙

research

∙ 05/23/2019

A Convolutional Cost-Sensitive Crack Localization Algorithm for Automated and Reliable RC Bridge Inspection

Bridges are an essential part of the transportation infrastructure and n...

7 Seyed Omid Sajedi, et al. ∙

research

∙ 02/22/2018

Segmented Successive Cancellation List Polar Decoding with Tailored CRC

As the first error correction codes provably achieving the symmetric cap...

0 Huayi Zhou, et al. ∙

research

∙ 02/21/2018

On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems

In massive MIMO (M-MIMO) systems, one of the key challenges in the imple...

0 Chuan Zhang, et al. ∙

research

∙ 01/30/2018

An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering

Relation detection plays a crucial role in Knowledge Base Question Answe...

0 Hongzhi Zhang, et al. ∙

research

∙ 11/21/2017

A deep learning-based method for relative location prediction in CT scan images

Relative location prediction in computed tomography (CT) scan images is ...

0 Jiajia Guo, et al. ∙

research

∙ 12/15/2010

TILT: Transform Invariant Low-rank Textures

In this paper, we show how to efficiently and effectively extract a clas...

0 Zhengdong Zhang, et al. ∙

Xiao Liang

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