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...
share
research
∙
08/24/2023
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency
Efficiently optimizing multi-model inference pipelines for fast, accurat...
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...
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...
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...
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...
research
∙
07/28/2023
Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF
The explicit neural radiance field (NeRF) has gained considerable intere...
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 ...
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...
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...
research
∙
06/25/2023
When SAM Meets Sonar Images
Segment Anything Model (SAM) has revolutionized the way of segmentation....
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...
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...
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 ...
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...
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...
research
∙
05/21/2023
Routing for Intermittently-Powered Sensing Systems
Recently, intermittent computing (IC) has received tremendous attention ...
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...
research
∙
04/17/2023
360^∘ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer
Recently, omnidirectional images (ODIs) have become increasingly popular...
research
∙
04/08/2023
Towards Open-Scenario Semi-supervised Medical Image Classification
Semi-supervised learning (SSL) has attracted much attention since it red...
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...
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...
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...
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...
research
∙
03/22/2023
Variantional autoencoder with decremental information bottleneck for disentanglement
One major challenge of disentanglement learning with variational autoenc...
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...
research
∙
02/26/2023
Independence-Encouraging Subsampling for Nonparametric Additive Models
The additive model is a popular nonparametric regression method due to i...
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...
research
∙
02/06/2023
A Fast Bootstrap Algorithm for Causal Inference with Large Data
Estimating causal effects from large experimental and observational data...
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...
research
∙
01/18/2023
When the Metaverse Meets Carbon Neutrality: Ongoing Efforts and Directions
The metaverse has recently gained increasing attention from the public. ...
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...
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...
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...
research
∙
12/11/2022
SEPT: Towards Scalable and Efficient Visual Pre-Training
Recently, the self-supervised pre-training paradigm has shown great pote...
research
∙
11/19/2022
Autoregressive GNN-ODE GRU Model for Network Dynamics
Revealing the continuous dynamics on the networks is essential for under...
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...
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...
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...
research
∙
10/25/2022
Synthetic Data Supervised Salient Object Detection
Although deep salient object detection (SOD) has achieved remarkable pro...
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...
research
∙
09/21/2022
A Comprehensive Survey on Trustworthy Recommender Systems
As one of the most successful AI-powered applications, recommender syste...
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...
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...
research
∙
07/27/2022
Efficient Video Deblurring Guided by Motion Magnitude
Video deblurring is a highly under-constrained problem due to the spatia...
research
∙
07/08/2022
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
Existing unsupervised domain adaptation methods based on adversarial lea...
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...
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 ...
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...
research
∙
05/21/2022
