b'Lin Wang'

research

∙ 09/17/2023

Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera

The ability to detect objects in all lighting (i.e., normal-, over-, and...

0 Jiahang Cao, et al. ∙

research

∙ 08/24/2023

IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency

Efficiently optimizing multi-model inference pipelines for fast, accurat...

0 Saeid Ghafouri, et al. ∙

research

∙ 08/16/2023

OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution

Omnidirectional images (ODIs) have become increasingly popular, as their...

0 Zidong Cao, et al. ∙

research

∙ 08/10/2023

Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation

Endeavors have been recently made to transfer knowledge from the labeled...

0 Xu Zheng, et al. ∙

research

∙ 08/06/2023

E-CLIP: Towards Label-efficient Event-based Open-world Understanding by CLIP

Contrasting Language-image pertaining (CLIP) has recently shown promisin...

0 Jiazhou Zhou, et al. ∙

research

∙ 07/31/2023

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples

Deep Neural Networks (DNNs) for 3D point cloud recognition are vulnerabl...

0 Qiufan Ji, et al. ∙

research

∙ 07/28/2023

Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF

The explicit neural radiance field (NeRF) has gained considerable intere...

0 Haotian Bai, et al. ∙

research

∙ 07/24/2023

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation

In this paper, we strive to answer the question "how to collaboratively ...

0 Jinjing Zhu, et al. ∙

research

∙ 07/10/2023

Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation

The ability to scene understanding in adverse visual conditions, e.g., n...

0 Yexin Liu, et al. ∙

research

∙ 06/27/2023

Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames

This paper makes the first attempt to tackle the challenging task of rec...

0 Yunfan Lu, et al. ∙

research

∙ 06/25/2023

When SAM Meets Sonar Images

Segment Anything Model (SAM) has revolutionized the way of segmentation....

0 Lin Wang, et al. ∙

research

∙ 06/09/2023

Adaptive Multi-Armed Bandit Learning for Task Offloading in Edge Computing

The widespread adoption of edge computing has emerged as a prominent tre...

0 Lin Wang, et al. ∙

research

∙ 06/08/2023

Spectrum Sharing between High Altitude Platform Network and Terrestrial Network: Modeling and Performance Analysis

Achieving seamless global coverage is one of the ultimate goals of space...

0 Zhiqing Wei, et al. ∙

research

∙ 06/01/2023

FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM

In this paper, we introduce FMapping, an efficient neural field mapping ...

0 Tongyan Hua, et al. ∙

research

∙ 05/25/2023

Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback

Generating and editing a 3D scene guided by natural language poses a cha...

0 Yiqi Lin, et al. ∙

research

∙ 05/24/2023

Learning INR for Event-guided Rolling Shutter Frame Correction, Deblur, and Interpolation

Images captured by rolling shutter (RS) cameras under fast camera motion...

0 Yunfan Lu, et al. ∙

research

∙ 05/21/2023

Routing for Intermittently-Powered Sensing Systems

Recently, intermittent computing (IC) has received tremendous attention ...

0 Gaosheng Liu, et al. ∙

research

∙ 05/10/2023

Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network

Cloud native technology has revolutionized 5G beyond and 6G communicatio...

0 Lin Wang, et al. ∙

research

∙ 04/17/2023

360^∘ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer

Recently, omnidirectional images (ODIs) have become increasingly popular...

0 Zidong Cao, et al. ∙

research

∙ 04/08/2023

Towards Open-Scenario Semi-supervised Medical Image Classification

Semi-supervised learning (SSL) has attracted much attention since it red...

0 Lie Ju, et al. ∙

research

∙ 03/25/2023

Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation

The ability of scene understanding has sparked active research for panor...

0 Xu Zheng, et al. ∙

research

∙ 03/24/2023

CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout

Recent research endeavors have shown that combining neural radiance fiel...

0 Yiqi Lin, et al. ∙

research

∙ 03/24/2023

Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution

Event cameras sense the intensity changes asynchronously and produce eve...

0 Yunfan Lu, et al. ∙

research

∙ 03/23/2023

Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective

Endeavors have been recently made to leverage the vision transformer (Vi...

0 Jinjing Zhu, et al. ∙

research

∙ 03/22/2023

Variantional autoencoder with decremental information bottleneck for disentanglement

One major challenge of disentanglement learning with variational autoenc...

0 Jiantao Wu, et al. ∙

research

∙ 03/21/2023

HRDFuse: Monocular 360°Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions

Depth estimation from a monocular 360 image is a burgeoning problem owin...

0 Hao Ai, et al. ∙

research

∙ 02/26/2023

Independence-Encouraging Subsampling for Nonparametric Additive Models

The additive model is a popular nonparametric regression method due to i...

0 Yi Zhang, et al. ∙

research

∙ 02/17/2023

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Event cameras are bio-inspired sensors that capture the per-pixel intens...

0 Xu Zheng, et al. ∙

research

∙ 02/06/2023

A Fast Bootstrap Algorithm for Causal Inference with Large Data

Estimating causal effects from large experimental and observational data...

0 Matthew Kosko, et al. ∙

research

∙ 02/02/2023

DPCIPI: A pre-trained deep learning model for estimation of cross-immunity between drifted strains of Influenza A/H3N2

Motivation: This study aims to develop a novel model called DNA Pretrain...

0 Yiming Du, et al. ∙

research

∙ 01/18/2023

When the Metaverse Meets Carbon Neutrality: Ongoing Efforts and Directions

The metaverse has recently gained increasing attention from the public. ...

0 Fangming Liu, et al. ∙

research

∙ 01/08/2023

Multi-scale multi-modal micro-expression recognition algorithm based on transformer

A micro-expression is a spontaneous unconscious facial muscle movement t...

0 Fengping Wang, et al. ∙

research

∙ 12/23/2022

Balanced Subsampling for Big Data with Categorical Covariates

The use and analysis of massive data are challenging due to the high sto...

0 Lin Wang, et al. ∙

research

∙ 12/13/2022

Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection

Although weakly-supervised techniques can reduce the labeling effort, it...

0 Zhenyu Wu, et al. ∙

research

∙ 12/11/2022

SEPT: Towards Scalable and Efficient Visual Pre-Training

Recently, the self-supervised pre-training paradigm has shown great pote...

0 Yiqi Lin, et al. ∙

research

∙ 11/19/2022

Autoregressive GNN-ODE GRU Model for Network Dynamics

Revealing the continuous dynamics on the networks is essential for under...

0 Bo Liang, et al. ∙

research

∙ 11/17/2022

UAV Assisted Data Collection for Internet of Things: A Survey

Thanks to the advantages of flexible deployment and high mobility, unman...

0 Zhiqing Wei, et al. ∙

research

∙ 10/27/2022

Reconstruction of compressed spectral imaging based on global structure and spectral correlation

In this paper, a convolution sparse coding method based on global struct...

0 Pan Wang, et al. ∙

research

∙ 10/27/2022

Vetaverse: Technologies, Applications, and Visions toward the Intersection of Metaverse, Vehicles, and Transportation Systems

Since 2021, the term "Metaverse" has been the most popular one, garnerin...

0 Pengyuan Zhou, et al. ∙

research

∙ 10/25/2022

Synthetic Data Supervised Salient Object Detection

Although deep salient object detection (SOD) has achieved remarkable pro...

0 Zhenyu Wu, et al. ∙

research

∙ 10/11/2022

3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography

Usually, lesions are not isolated but are associated with the surroundin...

0 Lin Wang, et al. ∙

research

∙ 09/21/2022

A Comprehensive Survey on Trustworthy Recommender Systems

As one of the most successful AI-powered applications, recommender syste...

0 Wenqi Fan, et al. ∙

research

∙ 09/16/2022

3D Matting: A Soft Segmentation Method Applied in Computed Tomography

Three-dimensional (3D) images, such as CT, MRI, and PET, are common in m...

0 Lin Wang, et al. ∙

research

∙ 09/06/2022

Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students

The popular methods for semi-supervised semantic segmentation mostly ado...

9 Xu Zheng, et al. ∙

research

∙ 07/27/2022

Efficient Video Deblurring Guided by Motion Magnitude

Video deblurring is a highly under-constrained problem due to the spatia...

0 Yusheng Wang, et al. ∙

research

∙ 07/08/2022

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization

Existing unsupervised domain adaptation methods based on adversarial lea...

0 Wei Feng, et al. ∙

research

∙ 06/04/2022

All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey

Image restoration and enhancement is a process of improving the image qu...

0 Yunfan Lu, et al. ∙

research

∙ 05/27/2022

Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy

Federated learning (FL) is a distributed machine learning paradigm that ...

0 Lin Wang, et al. ∙

research

∙ 05/26/2022

Future Computer Systems and Networking Research in the Netherlands: A Manifesto

Our modern society and competitive economy depend on a strong digital fo...

0 Alexandru Iosup, et al. ∙

research

∙ 05/21/2022

Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

Omnidirectional image (ODI) data is captured with a 360x180 field-of-vie...

1 Hao Ai, et al. ∙

Lin Wang

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