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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 ...
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08/07/2023
Local Structure-aware Graph Contrastive Representation Learning
Traditional Graph Neural Network (GNN), as a graph representation learni...
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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...
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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...
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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...
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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...
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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...
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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...
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01/29/2023
Intrinsic Bayesian Optimisation on Complex Constrained Domain
Motivated by the success of Bayesian optimisation algorithms in the Eucl...
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12/21/2022
MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning
Learning effective motion features is an essential pursuit of video repr...
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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...
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12/17/2022
Modeling Global Distribution for Federated Learning with Label Distribution Skew
Federated learning achieves joint training of deep models by connecting ...
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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...
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12/11/2022
Client Selection for Federated Bayesian Learning
Distributed Stein Variational Gradient Descent (DSVGD) is a non-parametr...
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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...
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11/30/2022
SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields
Cone beam computed tomography (CBCT) has been widely used in clinical pr...
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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...
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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...
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08/20/2022
Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction
Data-driven predictive methods which can efficiently and accurately tran...
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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 ...
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07/10/2022
Progressively-connected Light Field Network for Efficient View Synthesis
This paper presents a Progressively-connected Light Field network (ProLi...
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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 ...
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06/24/2022
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
Proteins are essential component of human life and their structures are ...
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05/19/2022
Robust and Efficient Medical Imaging with Self-Supervision
Recent progress in Medical Artificial Intelligence (AI) has delivered sy...
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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...
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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...
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01/29/2022
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving
We introduce ApolloRL, an open platform for research in reinforcement le...
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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...
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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...
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08/23/2021
Improving 3D Object Detection with Channel-wise Transformer
Though 3D object detection from point clouds has achieved rapid progress...
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08/12/2021
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
This paper presents a neural network for robust normal estimation on poi...
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08/12/2021
A Contract Theory based Incentive Mechanism for Federated Learning
Federated learning (FL) serves as a data privacy-preserved machine learn...
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07/28/2021
Neural Rays for Occlusion-aware Image-based Rendering
We present a new neural representation, called Neural Ray (NeuRay), for ...
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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...
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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...
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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...
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03/24/2021
The Blessings of Unlabeled Background in Untrimmed Videos
Weakly-supervised Temporal Action Localization (WTAL) aims to detect the...
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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...
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01/14/2021
Supervised Transfer Learning at Scale for Medical Imaging
Transfer learning is a standard technique to improve performance on task...
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01/14/2021
Noise Is Useful: Exploiting Data Diversity for Edge Intelligence
Edge intelligence requires to fast access distributed data samples gener...
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12/01/2020
Point2Skeleton: Learning Skeletal Representations from Point Clouds
We introduce Point2Skeleton, an unsupervised method to learn skeletal re...
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11/30/2020
Learnable Motion Coherence for Correspondence Pruning
Motion coherence is an important clue for distinguishing true correspond...
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10/15/2020
Object Tracking Using Spatio-Temporal Future Prediction
Occlusion is a long-standing problem that causes many modern tracking me...
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10/09/2020
Addressing the Real-world Class Imbalance Problem in Dermatology
Class imbalance is a common problem in medical diagnosis, causing a stan...
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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...
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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...
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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...
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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...
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02/26/2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning
Federated learning (FL) is an emerging collaborative machine learning me...
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02/25/2020
