b'Yuan Liu'

research

∙ 09/07/2023

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

In this paper, we present a novel diffusion model called that generates ...

0 Yuan Liu, et al. ∙

research

∙ 08/07/2023

Local Structure-aware Graph Contrastive Representation Learning

Traditional Graph Neural Network (GNN), as a graph representation learni...

0 Kai Yang, et al. ∙

research

∙ 07/05/2023

Evaluating AI systems under uncertain ground truth: a case study in dermatology

For safety, AI systems in health undergo thorough evaluations before dep...

0 David Stutz, et al. ∙

research

∙ 05/27/2023

NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images

We present a neural rendering-based method called NeRO for reconstructin...

0 Yuan Liu, et al. ∙

research

∙ 04/10/2023

Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution

Since the number of incident energies is limited, it is difficult to dir...

0 Tingting Liu, et al. ∙

research

∙ 04/02/2023

Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting

In this paper, we present a new method for the multiview registration of...

0 Haiping Wang, et al. ∙

research

∙ 03/28/2023

F^2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories

This paper presents a novel grid-based NeRF called F2-NeRF (Fast-Free-Ne...

0 Peng Wang, et al. ∙

research

∙ 03/26/2023

Geometry-Aware Attenuation Field Learning for Sparse-View CBCT Reconstruction

Cone Beam Computed Tomography (CBCT) is the most widely used imaging met...

0 Zhentao Liu, et al. ∙

research

∙ 01/29/2023

Intrinsic Bayesian Optimisation on Complex Constrained Domain

Motivated by the success of Bayesian optimisation algorithms in the Eucl...

0 Yuan Liu, et al. ∙

research

∙ 12/21/2022

MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning

Learning effective motion features is an essential pursuit of video repr...

0 Yuan Liu, et al. ∙

research

∙ 12/17/2022

Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning

This paper presents a novel federated reinforcement learning (Fed-RL) me...

0 Sayak Mukherjee, et al. ∙

research

∙ 12/17/2022

Modeling Global Distribution for Federated Learning with Label Distribution Skew

Federated learning achieves joint training of deep models by connecting ...

0 Tao Sheng, et al. ∙

research

∙ 12/11/2022

Target Detection Framework for Lobster Eye X-Ray Telescopes with Machine Learning Algorithms

Lobster eye telescopes are ideal monitors to detect X-ray transients, be...

0 Peng Jia, et al. ∙

research

∙ 12/11/2022

Client Selection for Federated Bayesian Learning

Distributed Stein Variational Gradient Descent (DSVGD) is a non-parametr...

0 Jiarong Yang, et al. ∙

research

∙ 12/06/2022

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning

This article proposes a model-based deep reinforcement learning (DRL) me...

0 Ramij R. Hossain, et al. ∙

research

∙ 11/30/2022

SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

Cone beam computed tomography (CBCT) has been widely used in clinical pr...

0 Yu Fang, et al. ∙

research

∙ 11/25/2022

NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies

We present a novel method, called NeuralUDF, for reconstructing surfaces...

0 Xiaoxiao Long, et al. ∙

research

∙ 11/23/2022

Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground

Deep neural networks for video action recognition easily learn to utiliz...

0 Haoxin Li, et al. ∙

research

∙ 08/20/2022

Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction

Data-driven predictive methods which can efficiently and accurately tran...

17 Jun Zhang, et al. ∙

research

∙ 07/21/2022

Detecting and Preventing Shortcut Learning for Fair Medical AI using Shortcut Testing (ShorT)

Machine learning (ML) holds great promise for improving healthcare, but ...

17 Alexander Brown, et al. ∙

research

∙ 07/10/2022

Progressively-connected Light Field Network for Efficient View Synthesis

This paper presents a Progressively-connected Light Field network (ProLi...

0 Peng Wang, et al. ∙

research

∙ 07/05/2022

A Two-Timescale Approach to Mobility Management for Multi-Cell Mobile Edge Computing

Mobile edge computing (MEC) is a promising technology for enhancing the ...

0 Zezu Liang, et al. ∙

research

∙ 06/24/2022

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction

Proteins are essential component of human life and their structures are ...

11 Sirui Liu, et al. ∙

research

∙ 05/19/2022

Robust and Efficient Medical Imaging with Self-Supervision

Recent progress in Medical Artificial Intelligence (AI) has delivered sy...

24 Shekoofeh Azizi, et al. ∙

research

∙ 04/22/2022

Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images

In this paper, we present a generalizable model-free 6-DoF object pose e...

7 Yuan Liu, et al. ∙

research

∙ 02/02/2022

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?

Fairness and robustness are often considered as orthogonal dimensions wh...

31 Jessica Schrouff, et al. ∙

research

∙ 01/29/2022

ApolloRL: a Reinforcement Learning Platform for Autonomous Driving

We introduce ApolloRL, an open platform for research in reinforcement le...

0 Fei Gao, et al. ∙

research

∙ 11/22/2021

Data Sensing and Offloading in Edge Computing Networks: TDMA or NOMA?

With the development of Internet-of-Things (IoT), we witness the explosi...

0 Zezu Liang, et al. ∙

research

∙ 09/01/2021

You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

In this paper, we propose a novel local descriptor-based framework, call...

6 Haiping Wang, et al. ∙

research

∙ 08/23/2021

Improving 3D Object Detection with Channel-wise Transformer

Though 3D object detection from point clouds has achieved rapid progress...

3 Hualian Sheng, et al. ∙

research

∙ 08/12/2021

AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds

This paper presents a neural network for robust normal estimation on poi...

0 Runsong Zhu, et al. ∙

research

∙ 08/12/2021

A Contract Theory based Incentive Mechanism for Federated Learning

Federated learning (FL) serves as a data privacy-preserved machine learn...

9 Mengmeng Tian, et al. ∙

research

∙ 07/28/2021

Neural Rays for Occlusion-aware Image-based Rendering

We present a new neural representation, called Neural Ray (NeuRay), for ...

14 Yuan Liu, et al. ∙

research

∙ 06/20/2021

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

We present a novel neural surface reconstruction method, called NeuS, fo...

0 Peng Wang, et al. ∙

research

∙ 04/12/2021

A class of adaptive multiresolution ultra-weak discontinuous Galerkin methods for some nonlinear dispersive wave equations

In this paper, we propose a class of adaptive multiresolution (also call...

0 Juntao Huang, et al. ∙

research

∙ 04/08/2021

Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions

We develop and rigorously evaluate a deep learning based system that can...

27 Abhijit Guha Roy, et al. ∙

research

∙ 03/24/2021

The Blessings of Unlabeled Background in Untrimmed Videos

Weakly-supervised Temporal Action Localization (WTAL) aims to detect the...

0 Yuan Liu, et al. ∙

research

∙ 02/05/2021

Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation

Mobile-edge computing (MEC) enhances the capacities and features of mobi...

0 Zezu Liang, et al. ∙

research

∙ 01/14/2021

Supervised Transfer Learning at Scale for Medical Imaging

Transfer learning is a standard technique to improve performance on task...

30 Basil Mustafa, et al. ∙

research

∙ 01/14/2021

Noise Is Useful: Exploiting Data Diversity for Edge Intelligence

Edge intelligence requires to fast access distributed data samples gener...

0 Zhi Zeng, et al. ∙

research

∙ 12/01/2020

Point2Skeleton: Learning Skeletal Representations from Point Clouds

We introduce Point2Skeleton, an unsupervised method to learn skeletal re...

5 Cheng Lin, et al. ∙

research

∙ 11/30/2020

Learnable Motion Coherence for Correspondence Pruning

Motion coherence is an important clue for distinguishing true correspond...

3 Yuan Liu, et al. ∙

research

∙ 10/15/2020

Object Tracking Using Spatio-Temporal Future Prediction

Occlusion is a long-standing problem that causes many modern tracking me...

19 Yuan Liu, et al. ∙

research

∙ 10/09/2020

Addressing the Real-world Class Imbalance Problem in Dermatology

Class imbalance is a common problem in medical diagnosis, causing a stan...

12 Wei-Hung Weng, et al. ∙

research

∙ 07/29/2020

Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains

The progress of deep learning (DL), especially the recent development of...

0 Yixiao Lan, et al. ∙

research

∙ 07/03/2020

An adaptive multiresolution ultra-weak discontinuous Galerkin method for nonlinear Schrodinger equations

This paper develops a high order adaptive scheme for solving nonlinear S...

0 Zhanjing Tao, et al. ∙

research

∙ 05/20/2020

Data-Importance Aware Radio Resource Allocation: Wireless Communication Helps Machine Learning

The rich mobile data and edge computing enabled wireless networks motiva...

0 Yuan Liu, et al. ∙

research

∙ 04/18/2020

An adaptive multiresolution interior penalty discontinuous Galerkin method for wave equations in second order form

In this paper, we propose a class of adaptive multiresolution (also call...

0 Juntao Huang, et al. ∙

research

∙ 02/26/2020

FedCoin: A Peer-to-Peer Payment System for Federated Learning

Federated learning (FL) is an emerging collaborative machine learning me...

13 Yuan Liu, et al. ∙

research

∙ 02/25/2020

MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification

Although person re-identification (ReID) has achieved significant improv...

7 Yushi Lan, et al. ∙

Yuan Liu

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