Zhu Liu | DeepAI

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Featured Co-authors

Ping Luo
182 publications
Hao Su
119 publications
Zhouchen Lin
110 publications
Rui Chen
77 publications
Risheng Liu
75 publications
Xin Fan
65 publications
Feng Zheng
64 publications
Shervin Minaee
48 publications
Ying Liu
47 publications
Long Ma
42 publications
Ran Cheng
39 publications

∙ 09/03/2023

Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework

The detection of small infrared targets against blurred and cluttered ba...

0 Zhu Liu, et al. ∙

∙ 08/08/2023

AutoPCF: Efficient Product Carbon Footprint Accounting with Large Language Models

The product carbon footprint (PCF) is crucial for decarbonizing the supp...

0 Zhu Deng, et al. ∙

∙ 08/08/2023

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation

Infrared and visible image fusion is a powerful technique that combines ...

0 Zhu Liu, et al. ∙

∙ 08/07/2023

Bilevel Generative Learning for Low-Light Vision

Recently, there has been a growing interest in constructing deep learnin...

0 Yingchi Liu, et al. ∙

∙ 08/04/2023

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation

Multi-modality image fusion and segmentation play a vital role in autono...

0 Jinyuan Liu, et al. ∙

∙ 05/25/2023

A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion

Image fusion plays a key role in a variety of multi-sensor-based vision ...

0 Risheng Liu, et al. ∙

∙ 05/22/2023

Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation

Word sense disambiguation (WSD), which aims to determine an appropriate ...

0 Zhu Liu, et al. ∙

∙ 05/20/2023

Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion

In recent years, deep learning-based methods have achieved remarkable pr...

0 Zhu Liu, et al. ∙

∙ 05/11/2023

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond

Recently, multi-modality scene perception tasks, e.g., image fusion and ...

0 Zhu Liu, et al. ∙

∙ 11/22/2022

Breaking Free from Fusion Rule: A Fully Semantic-driven Infrared and Visible Image Fusion

Infrared and visible image fusion plays a vital role in the field of com...

0 Yuhui Wu, et al. ∙

∙ 04/13/2022

Semantic-Aware Pretraining for Dense Video Captioning

This report describes the details of our approach for the event dense-ca...

6 Teng Wang, et al. ∙

∙ 12/06/2021

ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation

Traditional depth sensors generate accurate real world depth estimates t...

0 Isabella Liu, et al. ∙

∙ 11/08/2021

Triple-level Model Inferred Collaborative Network Architecture for Video Deraining

Video deraining is an important issue for outdoor vision systems and has...

3 Pan Mu, et al. ∙

∙ 12/10/2020

Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision

In recent years, building deep learning models from optimization perspec...

3 Risheng Liu, et al. ∙

∙ 11/18/2020

Estimates of daily ground-level NO2 concentrations in China based on big data and machine learning approaches

Nitrogen dioxide (NO2) is one of the most important atmospheric pollutan...

26 Xinyu Dou, et al. ∙

∙ 08/05/2017

Automatic Question-Answering Using A Deep Similarity Neural Network

Automatic question-answering is a classical problem in natural language ...

0 Shervin Minaee, et al. ∙

∙ 08/12/2016

Deep Hashing: A Joint Approach for Image Signature Learning

Similarity-based image hashing represents crucial technique for visual d...

0 Yadong Mu, et al. ∙

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