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09/10/2023
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data
This paper considers a type of incremental aggregated gradient (IAG) met...
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04/14/2023
WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval
Retrieving charts from a large corpus is a fundamental task that can ben...
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04/13/2023
DDT: Dual-branch Deformable Transformer for Image Denoising
Transformer is beneficial for image denoising tasks since it can model l...
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03/22/2023
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
Deep learning has seen rapid growth in recent years and achieved state-o...
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11/25/2022
Aggregated Text Transformer for Scene Text Detection
This paper explores the multi-scale aggregation strategy for scene text ...
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07/23/2022
Progressive Scene Text Erasing with Self-Supervision
Scene text erasing seeks to erase text contents from scene images and cu...
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03/30/2022
SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network
Spiking Neural Networks (SNNs) have piqued researchers' interest because...
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02/06/2022
SRPCN: Structure Retrieval based Point Completion Network
Given partial objects and some complete ones as references, point cloud ...
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12/13/2021
Generate Point Clouds with Multiscale Details from Graph-Represented Structures
Generating point clouds from structures is a highly valued method to con...
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12/10/2021
Attention-based Transformation from Latent Features to Point Clouds
In point cloud generation and completion, previous methods for transform...
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12/05/2021
Safe Distillation Box
Knowledge distillation (KD) has recently emerged as a powerful strategy ...
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11/27/2021
Document Layout Analysis with Aesthetic-Guided Image Augmentation
Document layout analysis (DLA) plays an important role in information ex...
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10/19/2020
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Segmentation of infected areas in chest CT volumes is of great significa...
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11/14/2017
TripletGAN: Training Generative Model with Triplet Loss
As an effective way of metric learning, triplet loss has been widely use...
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12/10/2016
