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09/07/2023
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
We present InstructDiffusion, a unifying and generic framework for align...
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09/03/2023
A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training
The successful application of large pre-trained models such as BERT in n...
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08/31/2023
GHuNeRF: Generalizable Human NeRF from a Monocular Video
In this paper, we tackle the challenging task of learning a generalizabl...
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08/21/2023
PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intra
Intracerebral hemorrhage is one of the diseases with the highest mortali...
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08/16/2023
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions
Endometrial cancer is one of the most common tumors in the female reprod...
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08/16/2023
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation
Methods: In this study, a benchmark Abdominal Adipose Tissue CT Image Da...
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08/04/2023
Swift progress for robots over complex terrain
A four-legged robot has learned to run on sand at faster pace than human...
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07/25/2023
Weakly-supervised 3D Pose Transfer with Keypoints
The main challenges of 3D pose transfer are: 1) Lack of paired training ...
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05/25/2023
NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts
We introduce NaSGEC, a new dataset to facilitate research on Chinese gra...
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05/24/2023
OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields
Dynamic neural radiance fields (dynamic NeRFs) have demonstrated impress...
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05/18/2023
a unified front-end framework for english text-to-speech synthesis
The front-end is a critical component of English text-to-speech (TTS) sy...
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05/14/2023
QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting
SQL query performance is critical in database applications, and query re...
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05/06/2023
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing
Deep learning has been applied to compressive sensing (CS) of images suc...
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05/02/2023
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
Using knowledge graphs to assist deep learning models in making recommen...
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05/02/2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective
Recently, information theoretic analysis has become a popular framework ...
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05/01/2023
Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
Direct mesh fitting for 3D hand shape reconstruction is highly accurate....
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04/29/2023
An Evidential Real-Time Multi-Mode Fault Diagnosis Approach Based on Broad Learning System
Fault diagnosis is a crucial area of research in the industry due to div...
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04/20/2023
Detecting Worker Attention Lapses in Human-Robot Interaction: An Eye Tracking and Multimodal Sensing Study
The advent of industrial robotics and autonomous systems endow human-rob...
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04/06/2023
TagGPT: Large Language Models are Zero-shot Multimodal Taggers
Tags are pivotal in facilitating the effective distribution of multimedi...
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03/27/2023
ScarceNet: Animal Pose Estimation with Scarce Annotations
Animal pose estimation is an important but under-explored task due to th...
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03/25/2023
A Spatial-Constraint Model for Manipulating Static Visualizations
We propose a spatial-constraint approach for modeling spatial-based inte...
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03/25/2023
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects
Dynamic Neural Radiance Field (NeRF) is a powerful algorithm capable of ...
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03/22/2023
Distribution-restrained Softmax Loss for the Model Robustness
Recently, the robustness of deep learning models has received widespread...
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03/17/2023
Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence
This paper presents a new methodology to alleviate the fundamental trade...
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03/16/2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
Denoising diffusion models have been a mainstream approach for image gen...
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03/15/2023
Progressive Frame Patching for FoV-based Point Cloud Video Streaming
Immersive multimedia applications, such as Virtual, Augmented and Mixed ...
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02/18/2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
The Pretrained Foundation Models (PFMs) are regarded as the foundation f...
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02/08/2023
QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data
Deep learning has been successfully applied to low-dose CT (LDCT) image ...
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01/15/2023
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos
The accurate detection of sperms and impurities is a very challenging ta...
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01/05/2023
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
Unlike language tasks, where the output space is usually limited to a se...
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01/04/2023
Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation
Causal inference plays an important role in under standing the underlyin...
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12/21/2022
Incremental Learning for Neural Radiance Field with Uncertainty-Filtered Knowledge Distillation
Recent neural radiance field (NeRF) representation has achieved great su...
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11/30/2022
Robust and Fast Measure of Information via Low-rank Representation
The matrix-based Rényi's entropy allows us to directly quantify informat...
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11/27/2022
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Medical Images
Self-supervised pre-training has become the priory choice to establish r...
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10/22/2022
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser
This work proposes a syntax-enhanced grammatical error correction (GEC) ...
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10/19/2022
Fries: Fast and Consistent Runtime Reconfiguration in Dataflow Systems with Transactional Guarantees (Extended Version)
A computing job in a big data system can take a long time to run, especi...
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10/06/2022
Predictive Edge Caching through Deep Mining of Sequential Patterns in User Content Retrievals
Edge caching plays an increasingly important role in boosting user conte...
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09/01/2022
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
Current study on next POI recommendation mainly explores user sequential...
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08/31/2022
Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features
The use of Environmental Microorganisms (EMs) offers a highly efficient,...
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08/29/2022
Artificial Neural Networks for Finger Vein Recognition: A Survey
Finger vein recognition is an emerging biometric recognition technology....
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08/28/2022
Reshape: Adaptive Result-aware Skew Handling for Exploratory Analysis on Big Data
The process of data analysis, especially in GUI-based analytics systems,...
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07/05/2022
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
Finger vein image recognition technology plays an important role in biom...
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06/23/2022
Mining Error Templates for Grammatical Error Correction
Some grammatical error correction (GEC) systems incorporate hand-crafted...
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06/07/2022
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
In recent years, colorectal cancer has become one of the most significan...
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06/07/2022
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation
Nonnegative matrix factorization (NMF) has been widely used to dimension...
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06/02/2022
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
Cervical cancer is the seventh most common cancer among all the cancers ...
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05/30/2022
A Transistor Operations Model for Deep Learning Energy Consumption Scaling Law
Deep Learning (DL) has transformed the automation of a wide range of ind...
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05/25/2022
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer
Gastric cancer is the fifth most common cancer in the world. At the same...
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05/17/2022
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer
The gold standard for gastric cancer detection is gastric histopathologi...
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05/16/2022