research
∙
09/20/2023
Diagonal and normal with Toeplitz-block splitting iteration method for space fractional coupled nonlinear Schrödinger equations with repulsive nonlinearities
By applying the linearly implicit conservative difference scheme propose...
share
research
∙
09/14/2023
Gradient constrained sharpness-aware prompt learning for vision-language models
This paper targets a novel trade-off problem in generalizable prompt lea...
research
∙
06/26/2023
A Simple and Effective Baseline for Attentional Generative Adversarial Networks
Synthesising a text-to-image model of high-quality images by guiding the...
research
∙
06/14/2023
SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection
Open-set fine-grained anomaly detection is a challenging task that requi...
research
∙
05/21/2023
GPT Paternity Test: GPT Generated Text Detection with GPT Genetic Inheritance
Large Language Models (LLMs) can generate texts that carry the risk of v...
research
∙
05/15/2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions
Apprenticeship learning (AL) is a process of inducing effective decision...
research
∙
05/14/2023
Watermarking Text Generated by Black-Box Language Models
LLMs now exhibit human-like skills in various fields, leading to worries...
research
∙
03/27/2023
Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph
The archaeological dating of bronze dings has played a critical role in ...
research
∙
03/18/2023
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer
Metacognitive skills have been commonly associated with preparation for ...
research
∙
03/13/2023
OSIS: Efficient One-stage Network for 3D Instance Segmentation
Current 3D instance segmentation models generally use multi-stage method...
research
∙
03/13/2023
Reconfigurable Distributed Antennas and Reflecting Surface (RDARS): A New Architecture for Wireless Communications
Reconfigurable intelligent surfaces (RISs) have drawn much attention rec...
research
∙
03/02/2023
Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots
To reap the promising benefits of massive multiple-input multiple-output...
research
∙
02/05/2023
OAcode: Overall Aesthetic 2D Barcode on Screen
Nowadays, two-dimensional (2D) barcodes have been widely used in various...
research
∙
12/28/2022
Large-scale single-photon imaging
Benefiting from its single-photon sensitivity, single-photon avalanche d...
research
∙
12/08/2022
SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing
We propose an interactive editing method that allows humans to help deep...
research
∙
11/30/2022
SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation
Scene understanding is an essential and challenging task in computer vis...
research
∙
11/27/2022
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
Single-source domain generalization (SDG) in medical image segmentation ...
research
∙
10/27/2022
Towards Better Text-Image Consistency in Text-to-Image Generation
Generating consistent and high-quality images from given texts is essent...
research
∙
09/27/2022
Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations
Unique scientific instruments designed and operated by large global coll...
research
∙
07/22/2022
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization
Instance segmentation on point clouds is crucially important for 3D scen...
research
∙
07/22/2022
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
Although deep-learning based methods for monocular pedestrian detection ...
research
∙
07/12/2022
Normalized Feature Distillation for Semantic Segmentation
As a promising approach in model compression, knowledge distillation imp...
research
∙
06/13/2022
Efficient Human-in-the-loop System for Guiding DNNs Attention
Attention guidance is an approach to addressing dataset bias in deep lea...
research
∙
05/24/2022
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation
Unsupervised cross-modality medical image adaptation aims to alleviate t...
research
∙
04/25/2022
Tensorial tomographic differential phase-contrast microscopy
We report Tensorial Tomographic Differential Phase-Contrast microscopy (...
research
∙
04/08/2022
From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
We consider the problem of Multi-view 3D Face Reconstruction (MVR) with ...
research
∙
04/04/2022
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding
Fast noninvasive probing of spatially varying decorrelating events, such...
research
∙
03/23/2022
Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin
Only parts of unlabeled data are selected to train models for most semi-...
research
∙
03/17/2022
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
Denoising and demosaicking are two essential steps to reconstruct a clea...
research
∙
03/15/2022
Data Transfer and Network Services management for Domain Science Workflows
This paper describes a vision and work in progress to elevate network re...
research
∙
01/27/2022
Sketch-based 3D Shape Modeling from Sparse Point Clouds
3D modeling based on point clouds is an efficient way to reconstruct and...
research
∙
01/27/2022
Hierarchical Visual Interface for Lecture Video Retrieval and Summarization
With the emergence of large-scale open online courses and online academi...
research
∙
12/15/2021
Tracing Text Provenance via Context-Aware Lexical Substitution
Text content created by humans or language models is often stolen or mis...
research
∙
09/25/2021
Statistical Inference for Data Integration
In the age of big data, data integration is a critical step especially i...
research
∙
09/15/2021
Deep 3D Mesh Watermarking with Self-Adaptive Robustness
Robust 3D mesh watermarking is a traditional research topic in computer ...
research
∙
07/05/2021
Part2Word: Learning Joint Embedding of Point Clouds and Text by Matching Parts to Words
It is important to learn joint embedding for 3D shapes and text in diffe...
research
∙
07/03/2021
Imaging dynamics beneath turbid media via parallelized single-photon detection
Noninvasive optical imaging through dynamic scattering media has numerou...
research
∙
04/23/2021
Sketch-based Normal Map Generation with Geometric Sampling
Normal map is an important and efficient way to represent complex 3D mod...
research
∙
04/09/2021
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps
Whole-brain surface extraction is an essential topic in medical imaging ...
research
∙
01/02/2021
Visual High Dimensional Hypothesis Testing
In exploratory data analysis of known classes of high dimensional data, ...
research
∙
08/13/2020
Towards Dynamic Urban Bike Usage Prediction for Station Network Reconfiguration
Bike sharing has become one of the major choices of transportation for r...
research
∙
07/03/2020
Improved Preterm Prediction Based on Optimized Synthetic Sampling of EHG Signal
Preterm labor is the leading cause of neonatal morbidity and mortality a...
research
∙
06/29/2020
Surface-based 3D Deep Learning Framework for Segmentation of Intracranial Aneurysms from TOF-MRA Images
Segmentation of intracranial aneurysms is an important task in medical d...
research
∙
04/18/2020
Underwater image enhancement with Image Colorfulness Measure
Due to the absorption and scattering effects of the water, underwater im...
research
∙
04/13/2020
MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems
Millimeter wave (mmWave) band, or high frequencies such as THz, has larg...
research
∙
04/13/2020
Software-Defined Network for End-to-end Networked Science at the Exascale
Domain science applications and workflow processes are currently forced ...
research
∙
03/06/2020
DL-based CSI Feedback and Cooperative Recovery in Massive MIMO
In this paper, we exploit the correlation between nearby user equipment ...
research
∙
03/02/2020
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Medicine is an important application area for deep learning models. Rese...
research
∙
01/20/2020
G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data
In this paper we attempt to address the problem of geometric multi-model...
research
∙
10/01/2019
