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09/18/2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Federated training of Graph Neural Networks (GNN) has become popular in ...
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08/19/2023
ControlCom: Controllable Image Composition using Diffusion Model
Image composition targets at synthesizing a realistic composite image fr...
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08/17/2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data
Federated learning (FL) is a distributed machine learning paradigm that ...
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08/17/2023
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer
Most state-of-the-art deep domain adaptation techniques align source and...
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08/15/2023
Backpropagation Path Search On Adversarial Transferability
Deep neural networks are vulnerable to adversarial examples, dictating t...
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07/27/2023
End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters
Change detection based on remote sensing images has been a prominent are...
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06/11/2023
Compositional Prototypical Networks for Few-Shot Classification
It is assumed that pre-training provides the feature extractor with stro...
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05/18/2023
DiffUTE: Universal Text Editing Diffusion Model
Diffusion model based language-guided image editing has achieved great s...
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05/16/2023
Mobile User Interface Element Detection Via Adaptively Prompt Tuning
Recent object detection approaches rely on pretrained vision-language mo...
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04/06/2023
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
Knowledge Graph Embedding (KGE) is a fundamental technique that extracts...
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03/18/2023
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions
We present neural frailty machine (NFM), a powerful and flexible neural ...
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03/06/2023
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk
Graph representation plays an important role in the field of financial r...
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02/04/2023
GRANDE: a neural model over directed multigraphs with application to anti-money laundering
The application of graph representation learning techniques to the area ...
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01/27/2023
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention
With the frequent happening of privacy leakage and the enactment of priv...
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12/06/2022
DiffusionInst: Diffusion Model for Instance Segmentation
Recently, diffusion frameworks have achieved comparable performance with...
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12/01/2022
Differentially Private Learning with Per-Sample Adaptive Clipping
Privacy in AI remains a topic that draws attention from researchers and ...
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11/16/2022
Hierarchical Dynamic Image Harmonization
Image harmonization is a critical task in computer vision, which aims to...
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10/07/2022
A2: Efficient Automated Attacker for Boosting Adversarial Training
Based on the significant improvement of model robustness by AT (Adversar...
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09/27/2022
NEURAL MARIONETTE: A Transformer-based Multi-action Human Motion Synthesis System
We present a neural network-based system for long-term, multi-action hum...
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08/24/2022
K-Order Graph-oriented Transformer with GraAttention for 3D Pose and Shape Estimation
We propose a novel attention-based 2D-to-3D pose estimation network for ...
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07/04/2022
Explore Faster Localization Learning For Scene Text Detection
Generally pre-training and long-time training computation are necessary ...
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05/20/2022
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders
We present masked graph autoencoder (MaskGAE), a self-supervised learnin...
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04/20/2022
GUARD: Graph Universal Adversarial Defense
Recently, graph convolutional networks (GCNs) have shown to be vulnerabl...
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03/14/2022
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding
Recently, various multimodal networks for Visually-Rich Document Underst...
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01/17/2022
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees
Despite the success of deep learning in computer vision and natural lang...
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09/17/2021
GraFormer: Graph Convolution Transformer for 3D Pose Estimation
Exploiting relations among 2D joints plays a crucial role yet remains se...
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09/03/2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data
Since training a large-scale backdoored model from scratch requires a la...
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07/03/2021
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing
Deep learning provides a promising way to extract effective representati...
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06/22/2021
A Vertical Federated Learning Framework for Graph Convolutional Network
Recently, Graph Neural Network (GNN) has achieved remarkable success in ...
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11/19/2020
Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering
With only bounding-box annotations in the spatial domain, existing video...
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04/20/2020
Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network
Chinese is one of the most widely used languages in the world, yet onlin...
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03/18/2020
Rethinking Object Detection in Retail Stores
The convention standard for object detection uses a bounding box to repr...
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09/25/2019
Guided Attention Network for Object Detection and Counting on Drones
Object detection and counting are related but challenging problems, espe...
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04/25/2019
Learning Discriminative Features Via Weights-biased Softmax Loss
Loss functions play a key role in training superior deep neural networks...
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04/24/2019
A Novel Re-weighting Method for Connectionist Temporal Classification
The connectionist temporal classification (CTC) enables end-to-end seque...
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11/10/2017
Egocentric Hand Detection Via Dynamic Region Growing
Egocentric videos, which mainly record the activities carried out by the...
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11/08/2017
