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09/03/2023
UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance
Object detection has long been a topic of high interest in computer visi...
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07/17/2023
Flow Matching in Latent Space
Flow matching is a recent framework to train generative models that exhi...
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06/12/2023
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
Aerial Image Segmentation is a top-down perspective semantic segmentatio...
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05/18/2023
Improved and Partially-Tight Lower Bounds for Message-Passing Implementations of Multiplicity Queues
A multiplicity queue is a concurrently-defined data type which relaxes t...
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05/07/2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
On top of machine learning models, uncertainty quantification (UQ) funct...
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04/04/2023
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering
We consider the challenging task of training models for image-to-video d...
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03/27/2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Text-to-image diffusion models are nothing but a revolution, allowing an...
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03/24/2023
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis
Any-scale image synthesis offers an efficient and scalable solution to s...
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03/14/2023
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
Medical phrase grounding (MPG) aims to locate the most relevant region i...
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03/14/2023
An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models
Crystal plasticity finite element model (CPFEM) is a powerful numerical ...
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02/06/2023
Multi-fidelity microstructure-induced uncertainty quantification by advanced Monte Carlo methods
Quantifying uncertainty associated with the microstructure variation of ...
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01/26/2023
The multifaceted nature of uncertainty in structure-property linkage with crystal plasticity finite element model
Uncertainty quantification (UQ) plays a critical role in verifying and v...
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12/18/2022
Marginal-Certainty-aware Fair Ranking Algorithm
Ranking systems are ubiquitous in modern Internet services, including on...
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11/29/2022
Wavelet Diffusion Models are fast and scalable Image Generators
Diffusion models are rising as a powerful solution for high-fidelity ima...
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08/31/2022
Monotonic Gaussian process for physics-constrained machine learning with materials science applications
Physics-constrained machine learning is emerging as an important topic i...
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08/16/2022
Reinforcement Learning to Rank with Coarse-grained Labels
Ranking lies at the core of many Information Retrieval (IR) tasks. While...
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06/10/2022
Learning to Rank Rationales for Explainable Recommendation
State-of-the-art recommender system (RS) mostly rely on complex deep neu...
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11/27/2021
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Domain adaptation (DA) benefits from the rigorous theoretical works that...
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10/16/2021
Transformer with a Mixture of Gaussian Keys
Multi-head attention is a driving force behind state-of-the-art transfor...
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08/12/2021
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers
Bayesian optimization (BO) is a flexible and powerful framework that is ...
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08/11/2021
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
Learning to rank systems has become an important aspect of our daily lif...
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04/08/2021
Progressive Semantic Segmentation
The objective of this work is to segment high-resolution images without ...
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04/05/2021
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
Makeup transfer is the task of applying on a source face the makeup styl...
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04/01/2021
Explore Image Deblurring via Blur Kernel Space
This paper introduces a method to encode the blur operators of an arbitr...
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03/01/2021
FineNet: Frame Interpolation and Enhancement for Face Video Deblurring
The objective of this work is to deblur face videos. We propose a method...
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02/20/2021
WaNet – Imperceptible Warping-based Backdoor Attack
With the thriving of deep learning and the widespread practice of using ...
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10/16/2020
Input-Aware Dynamic Backdoor Attack
In recent years, neural backdoor attack has been considered to be a pote...
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10/07/2020
Solving stochastic inverse problems for property-structure linkages using data-consistent inversion and machine learning
Determining process-structure-property linkages is one of the key object...
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07/07/2020
srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications
Bayesian optimization (BO) is an efficient and flexible global optimizat...
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05/30/2020
Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys
We present a scale-bridging approach based on a multi-fidelity (MF) mach...
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04/24/2020
An active learning high-throughput microstructure calibration framework for solving inverse structure-process problems in materials informatics
Determining a process-structure-property relationship is the holy grail ...
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03/30/2020
Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications
Uncertainty involved in computational materials modeling needs to be qua...
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03/20/2020
aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture
High-fidelity complex engineering simulations are highly predictive, but...
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09/02/2014