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09/07/2023
T2IW: Joint Text to Image Watermark Generation
Recent developments in text-conditioned image generative models have rev...
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08/01/2023
Variational Label-Correlation Enhancement for Congestion Prediction
The physical design process of large-scale designs is a time-consuming t...
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05/10/2023
Towards Effective Visual Representations for Partial-Label Learning
Under partial-label learning (PLL) where, for each training instance, on...
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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...
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02/20/2023
Unreliable Partial Label Learning with Recursive Separation
Partial label learning (PLL) is a typical weakly supervised learning pro...
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02/16/2023
Learning From Biased Soft Labels
Knowledge distillation has been widely adopted in a variety of tasks and...
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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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06/02/2022
Progressive Purification for Instance-Dependent Partial Label Learning
Partial label learning (PLL) aims to train multi-class classifiers from ...
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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...
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04/08/2022
Decomposition-based Generation Process for Instance-Dependent Partial Label Learning
Partial label learning (PLL) is a typical weakly supervised learning pro...
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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...
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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...
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03/12/2022
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation
Remarkable achievements have been attained with Generative Adversarial N...
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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...
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03/04/2022
Adaptive Cross-Layer Attention for Image Restoration
Non-local attention module has been proven to be crucial for image resto...
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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...
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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 ...
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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...
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11/02/2021
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective
Modern video object segmentation (VOS) algorithms have achieved remarkab...
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10/25/2021
Instance-Dependent Partial Label Learning
Partial label learning (PLL) is a typical weakly supervised learning pro...
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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 ...
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08/12/2021
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims to transfer the knowledge lear...
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06/24/2021
Learning by Planning: Language-Guided Global Image Editing
Recently, language-guided global image editing draws increasing attentio...
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06/12/2021
Learngene: From Open-World to Your Learning Task
Although deep learning has made significant progress on fixed large-scal...
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12/14/2020
Semantic Layout Manipulation with High-Resolution Sparse Attention
We tackle the problem of semantic image layout manipulation, which aims ...
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12/12/2020
Mask Guided Matting via Progressive Refinement Network
We propose Mask Guided (MG) Matting, a robust matting framework that tak...
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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...
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10/05/2020
A Benchmark and Baseline for Language-Driven Image Editing
Language-driven image editing can significantly save the laborious image...
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09/18/2020
Compact Learning for Multi-Label Classification
Multi-label classification (MLC) studies the problem where each instance...
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09/14/2020
High-Resolution Deep Image Matting
Image matting is a key technique for image and video editing and composi...
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08/30/2020
Finding Action Tubes with a Sparse-to-Dense Framework
The task of spatial-temporal action detection has attracted increasing a...
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08/19/2020
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
Most current pipelines for spatio-temporal action localization connect f...
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08/02/2020
Video Question Answering on Screencast Tutorials
This paper presents a new video question answering task on screencast tu...
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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 ...
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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...
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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 ...
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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...
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07/20/2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation
Autoregressive models recently achieved comparable results versus state-...
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07/13/2020
Multiple Sound Sources Localization from Coarse to Fine
How to visually localize multiple sound sources in unconstrained videos ...
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05/21/2020
AOWS: Adaptive and optimal network width search with latency constraints
Neural architecture search (NAS) approaches aim at automatically finding...
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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...
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04/12/2020
Minimizing FLOPs to Learn Efficient Sparse Representations
Deep representation learning has become one of the most widely adopted a...
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03/27/2020
GeoFusion: Geometric Consistency informed Scene Estimation in Dense Clutter
We propose GeoFusion, a SLAM-based scene estimation method for building ...
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03/17/2020
Getting to 99
Interactive object cutout tools are the cornerstone of the image editing...
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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...
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09/17/2019
An Internal Learning Approach to Video Inpainting
We propose a novel video inpainting algorithm that simultaneously halluc...
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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. ...
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07/04/2019
Adversarial Attacks in Sound Event Classification
Adversarial attacks refer to a set of methods that perturb the input to ...
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05/12/2019
Video Instance Segmentation
In this paper we present a new computer vision task, named video instanc...
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05/03/2019