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08/12/2023
Learn Single-horizon Disease Evolution for Predictive Generation of Post-therapeutic Neovascular Age-related Macular Degeneration
Most of the existing disease prediction methods in the field of medical ...
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07/21/2023
Enhancing Your Trained DETRs with Box Refinement
We present a conceptually simple, efficient, and general framework for l...
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06/06/2023
Generalised Impedance Model of Wireless Links Assisted by Reconfigurable Intelligent Surfaces
We devise an end-to-end communication channel model that describes the p...
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04/10/2023
Exploring Effective Factors for Improving Visual In-Context Learning
The In-Context Learning (ICL) is to understand a new task via a few demo...
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11/25/2022
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection
Fully convolutional detectors discard the one-to-many assignment and ado...
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11/17/2022
CAE v2: Context Autoencoder with CLIP Target
Masked image modeling (MIM) learns visual representation by masking and ...
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11/07/2022
Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining
We present a strong object detector with encoder-decoder pretraining and...
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10/10/2022
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training
The conventional success of textual classification relies on annotated d...
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09/30/2022
Construction and Applications of Open Business Knowledge Graph
Business Knowledge Graph is important to many enterprises today, providi...
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07/26/2022
Group DETR: Fast Training Convergence with Decoupled One-to-Many Label Assignment
Detection Transformer (DETR) relies on One-to-One label assignment, i.e....
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06/13/2022
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
Freezing the pre-trained backbone has become a standard paradigm to avoi...
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05/22/2022
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce
In e-commerce, the salience of commonsense knowledge (CSK) is beneficial...
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05/07/2022
Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation
You can have your cake and eat it too. Microvessel segmentation in optic...
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04/06/2022
MixFormer: Mixing Features across Windows and Dimensions
While local-window self-attention performs notably in vision tasks, it s...
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10/26/2021
Image Magnification Network for Vessel Segmentation in OCTA Images
Optical coherence tomography angiography (OCTA) is a novel non-invasive ...
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10/16/2021
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy
Training deep neural networks (DNNs) for meaningful differential privacy...
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10/12/2021
Improving Binary Neural Networks through Fully Utilizing Latent Weights
Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W...
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03/17/2021
You Only Look One-level Feature
This paper revisits feature pyramids networks (FPN) for one-stage detect...
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01/27/2021
G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification
We propose a novel deep neural network architecture to integrate imaging...
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12/14/2020
IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation
Optical coherence tomography angiography (OCTA) is a novel imaging modal...
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09/03/2020
Fixed-Time Cooperative Tracking Control for Double-Integrator Multi-Agent Systems: A Time-Based Generator Approach
In this paper, both the fixed-time distributed consensus tracking and th...
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01/01/2020
Simulation of Skin Stretching around the Forehead Wrinkles in Rhytidectomy
Objective: Skin stretching around the forehead wrinkles is an important ...
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11/13/2019
Location-aware Upsampling for Semantic Segmentation
Many successful learning targets such as dice loss and cross-entropy los...
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10/19/2019
SpatialFlow: Bridging All Tasks for Panoptic Segmentation
The newly proposed panoptic segmentation task, which aims to encompass t...
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09/04/2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Link prediction is an important way to complete knowledge graphs (KGs), ...
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07/23/2019
Compact Global Descriptor for Neural Networks
Long-range dependencies modeling, widely used in capturing spatiotempora...
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11/26/2017
Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images
In this paper, we develop a novel convolutional neural network based app...
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08/08/2017
FoveaNet: Perspective-aware Urban Scene Parsing
Parsing urban scene images benefits many applications, especially self-d...
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09/27/2016
A Fast Factorization-based Approach to Robust PCA
Robust principal component analysis (RPCA) has been widely used for reco...
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07/03/2015
LogDet Rank Minimization with Application to Subspace Clustering
Low-rank matrix is desired in many machine learning and computer vision ...
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05/29/2015
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network
We address the problem of cross-domain image retrieval, considering the ...
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12/16/2013
Network In Network
We propose a novel deep network structure called "Network In Network" (N...
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10/27/2010
