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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...
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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...
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08/25/2023
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers
Although dominant in natural language processing, transformer-based mode...
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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...
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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...
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07/07/2023
DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles
Ensuring the safety of human workers in a collaborative environment with...
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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...
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04/05/2023
Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models
Recently, the diffusion model has emerged as a superior generative model...
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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...
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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...
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01/06/2023
CyberLoc: Towards Accurate Long-term Visual Localization
This technical report introduces CyberLoc, an image-based visual localiz...
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10/21/2022
High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers
Visual inspection is the predominant technique for evaluating the condit...
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07/12/2022
A New Approach to Post-Quantum Non-Malleability
We provide the first 𝑐𝑜𝑛𝑠𝑡𝑎𝑛𝑡-𝑟𝑜𝑢𝑛𝑑 construction of post-quantum non-mal...
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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...
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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...
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03/08/2022
Region Specific Optimization (RSO)-based Deep Interactive Registration
Medical image registration is a fundamental and vital task which will af...
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02/08/2022
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy
Online adaptive radiotherapy (ART) requires accurate and efficient auto-...
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12/11/2021
A Note on the Post-Quantum Security of (Ring) Signatures
This work revisits the security of classical signatures and ring signatu...
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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...
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10/29/2021
Whole Brain Segmentation with Full Volume Neural Network
Whole brain segmentation is an important neuroimaging task that segments...
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03/18/2021
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Numerous task-specific variants of conditional generative adversarial ne...
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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...
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07/06/2020
Including Image-based Perception in Disturbance Observer for Warehouse Drones
Grasping and releasing objects would cause oscillations to delivery dron...
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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...
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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...
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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...
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04/10/2020
Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring
Computer vision leveraging deep learning has achieved significant succes...
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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...
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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...
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02/22/2018
Segmented Successive Cancellation List Polar Decoding with Tailored CRC
As the first error correction codes provably achieving the symmetric cap...
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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...
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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...
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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 ...
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12/15/2010
