b'Ning Xu'

research

∙ 05/10/2023

Towards Effective Visual Representations for Partial-Label Learning

Under partial-label learning (PLL) where, for each training instance, on...

0 Shiyu Xia, et al. ∙

research

∙ 04/09/2023

Scalable Multiple Patterning Layout Decomposition Implemented by a Distribution Evolutionary Algorithm

As the feature size of semiconductor technology shrinks to 10 nm and bey...

0 Yu Chen, et al. ∙

research

∙ 02/20/2023

Unreliable Partial Label Learning with Recursive Separation

Partial label learning (PLL) is a typical weakly supervised learning pro...

0 Yu Shi, et al. ∙

research

∙ 02/16/2023

Learning From Biased Soft Labels

Knowledge distillation has been widely adopted in a variety of tasks and...

0 Hua Yuan, et al. ∙

research

∙ 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 ...

8 Wanli Liu, et al. ∙

research

∙ 06/02/2022

Progressive Purification for Instance-Dependent Partial Label Learning

Partial label learning (PLL) aims to train multi-class classifiers from ...

0 Ning Xu, et al. ∙

research

∙ 06/01/2022

One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement

Multi-label learning (MLL) learns from the examples each associated with...

0 Ning Xu, et al. ∙

research

∙ 04/08/2022

Decomposition-based Generation Process for Instance-Dependent Partial Label Learning

Partial label learning (PLL) is a typical weakly supervised learning pro...

0 Congyu Qiao, et al. ∙

research

∙ 04/04/2022

An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images

This paper proposes a novel pixel interval down-sampling network (PID-Ne...

3 Jiawei Zhang, et al. ∙

research

∙ 03/22/2022

CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training

Recent image inpainting methods have made great progress but often strug...

0 Haitian Zheng, et al. ∙

research

∙ 03/12/2022

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation

Remarkable achievements have been attained with Generative Adversarial N...

0 Linfeng Zhang, et al. ∙

research

∙ 03/07/2022

End-to-end video instance segmentation via spatial-temporal graph neural networks

Video instance segmentation is a challenging task that extends image ins...

0 PetsTime, et al. ∙

research

∙ 03/04/2022

Adaptive Cross-Layer Attention for Image Restoration

Non-local attention module has been proven to be crucial for image resto...

0 Yancheng Wang, et al. ∙

research

∙ 02/17/2022

EBHI:A New Enteroscope Biopsy Histopathological H E Image Dataset for Image Classification Evaluation

Background and purpose: Colorectal cancer has become the third most comm...

41 Weiming Hu, et al. ∙

research

∙ 12/14/2021

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation

Environmental microorganisms (EMs) are ubiquitous around us and have an ...

5 Peng Zhao, et al. ∙

research

∙ 11/30/2021

SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing

Recently, large pretrained models (e.g., BERT, StyleGAN, CLIP) have show...

1 Jing Shi, et al. ∙

research

∙ 11/02/2021

Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective

Modern video object segmentation (VOS) algorithms have achieved remarkab...

4 Yuxi Li, et al. ∙

research

∙ 10/25/2021

Instance-Dependent Partial Label Learning

Partial label learning (PLL) is a typical weakly supervised learning pro...

0 Ning Xu, et al. ∙

research

∙ 10/18/2021

Learning Models for Query by Vocal Percussion: A Comparative Study

The imitation of percussive sounds via the human voice is a natural and ...

0 Alejandro Delgado, et al. ∙

research

∙ 08/12/2021

TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) aims to transfer the knowledge lear...

0 Jinyu Yang, et al. ∙

research

∙ 06/24/2021

Learning by Planning: Language-Guided Global Image Editing

Recently, language-guided global image editing draws increasing attentio...

0 Jing Shi, et al. ∙

research

∙ 06/12/2021

Learngene: From Open-World to Your Learning Task

Although deep learning has made significant progress on fixed large-scal...

0 Qiufeng Wang, et al. ∙

research

∙ 12/14/2020

Semantic Layout Manipulation with High-Resolution Sparse Attention

We tackle the problem of semantic image layout manipulation, which aims ...

0 Haitian Zheng, et al. ∙

research

∙ 12/12/2020

Mask Guided Matting via Progressive Refinement Network

We propose Mask Guided (MG) Matting, a robust matting framework that tak...

0 Qihang Yu, et al. ∙

research

∙ 10/23/2020

Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation

In this paper, we address several inadequacies of current video object s...

3 Yuxi Li, et al. ∙

research

∙ 10/05/2020

A Benchmark and Baseline for Language-Driven Image Editing

Language-driven image editing can significantly save the laborious image...

6 Jing Shi, et al. ∙

research

∙ 09/18/2020

Compact Learning for Multi-Label Classification

Multi-label classification (MLC) studies the problem where each instance...

5 Jiaqi Lv, et al. ∙

research

∙ 09/14/2020

High-Resolution Deep Image Matting

Image matting is a key technique for image and video editing and composi...

0 Haichao Yu, et al. ∙

research

∙ 08/30/2020

Finding Action Tubes with a Sparse-to-Dense Framework

The task of spatial-temporal action detection has attracted increasing a...

4 Yuxi Li, et al. ∙

research

∙ 08/19/2020

CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization

Most current pipelines for spatio-temporal action localization connect f...

0 Yuxi Li, et al. ∙

research

∙ 08/02/2020

Video Question Answering on Screencast Tutorials

This paper presents a new video question answering task on screencast tu...

10 Wentian Zhao, et al. ∙

research

∙ 07/30/2020

Ultrahigh dimensional instrument detection using graph learning: an application to high dimensional GIS-census data for house pricing

The exogeneity bias and instrument validation have always been critical ...

0 Ning Xu, et al. ∙

research

∙ 07/30/2020

Solar: a least-angle regression for accurate and stable variable selection in high-dimensional data

We propose a new least-angle regression algorithm for variable selection...

5 Ning Xu, et al. ∙

research

∙ 07/30/2020

Accuracy and stability of solar variable selection comparison under complicated dependence structures

In this paper we focus on the variable-selection peformance of solar on ...

0 Ning Xu, et al. ∙

research

∙ 07/30/2020

Rademacher upper bounds for cross-validation errors with an application to the lasso

We establish a general upper bound for K-fold cross-validation (K-CV) er...

0 Ning Xu, et al. ∙

research

∙ 07/20/2020

Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation

Autoregressive models recently achieved comparable results versus state-...

8 Kenan E. Ak, et al. ∙

research

∙ 07/13/2020

Multiple Sound Sources Localization from Coarse to Fine

How to visually localize multiple sound sources in unconstrained videos ...

0 Rui Qian, et al. ∙

research

∙ 05/21/2020

AOWS: Adaptive and optimal network width search with latency constraints

Neural architecture search (NAS) approaches aim at automatically finding...

13 Maxim Berman, et al. ∙

research

∙ 05/09/2020

Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events

Along with the development of the modern smart city, human-centric video...

5 Weiyao Lin, et al. ∙

research

∙ 04/12/2020

Minimizing FLOPs to Learn Efficient Sparse Representations

Deep representation learning has become one of the most widely adopted a...

20 Biswajit Paria, et al. ∙

research

∙ 03/27/2020

GeoFusion: Geometric Consistency informed Scene Estimation in Dense Clutter

We propose GeoFusion, a SLAM-based scene estimation method for building ...

0 Zhiqiang Sui, et al. ∙

research

∙ 03/17/2020

Getting to 99

Interactive object cutout tools are the cornerstone of the image editing...

0 Marco Forte, et al. ∙

research

∙ 02/18/2020

Multi-Task Learning from Videos via Efficient Inter-Frame Attention

Prior work in multi-task learning has mainly focused on predictions on a...

28 Donghyun Kim, et al. ∙

research

∙ 09/17/2019

An Internal Learning Approach to Video Inpainting

We propose a novel video inpainting algorithm that simultaneously halluc...

8 Haotian Zhang, et al. ∙

research

∙ 09/04/2019

Large-scale Tag-based Font Retrieval with Generative Feature Learning

Font selection is one of the most important steps in a design workflow. ...

3 Tianlang Chen, et al. ∙

research

∙ 07/04/2019

Adversarial Attacks in Sound Event Classification

Adversarial attacks refer to a set of methods that perturb the input to ...

0 Vinod Subramanian, et al. ∙

research

∙ 05/12/2019

Video Instance Segmentation

In this paper we present a new computer vision task, named video instanc...

0 Linjie Yang, et al. ∙

research

∙ 05/03/2019

Controllable Artistic Text Style Transfer via Shape-Matching GAN

Artistic text style transfer is the task of migrating the style from a s...

19 Shuai Yang, et al. ∙

research

∙ 04/22/2019

Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks

We present a deep learning method for the interactive video object segme...

14 Seoung Wug Oh, et al. ∙

research

∙ 04/08/2019

Streamlined Dense Video Captioning

Dense video captioning is an extremely challenging task since accurate a...

0 Jonghwan Mun, et al. ∙

Ning Xu

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