Nian Liu | DeepAI

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∙ 08/11/2023

Towards Instance-adaptive Inference for Federated Learning

Federated learning (FL) is a distributed learning paradigm that enables ...

0 Chun-Mei Feng, et al. ∙

∙ 07/16/2023

CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation

We propose a novel approach for RGB-D salient instance segmentation usin...

0 Jialun Pei, et al. ∙

∙ 04/30/2023

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection

Most previous co-salient object detection works mainly focus on extracti...

1 Long Li, et al. ∙

∙ 04/24/2023

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

Heterogeneous graph neural networks (HGNNs) as an emerging technique hav...

4 Nian Liu, et al. ∙

∙ 04/03/2023

A Latent Fingerprint in the Wild Database

Latent fingerprints are among the most important and widely used evidenc...

0 Xinwei Liu, et al. ∙

∙ 02/02/2023

Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt

Recently, inspired by DETR variants, query-based end-to-end instance seg...

0 Hao Li, et al. ∙

∙ 11/04/2022

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data

Solar activity is usually caused by the evolution of solar magnetic fiel...

0 Haodi Jiang, et al. ∙

∙ 10/05/2022

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Graph Contrastive Learning (GCL), learning the node representations by a...

0 Nian Liu, et al. ∙

∙ 05/20/2022

Structured Attention Composition for Temporal Action Localization

Temporal action localization aims at localizing action instances from un...

0 Le Yang, et al. ∙

∙ 01/19/2022

Debiased Graph Neural Networks with Agnostic Label Selection Bias

Most existing Graph Neural Networks (GNNs) are proposed without consider...

0 Shaohua Fan, et al. ∙

∙ 01/14/2022

Compact Graph Structure Learning via Mutual Information Compression

Graph Structure Learning (GSL) recently has attracted considerable atten...

20 Nian Liu, et al. ∙

∙ 10/02/2021

Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance

The application of light field data in salient object de-tection is beco...

0 Nian Liu, et al. ∙

∙ 10/01/2021

Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection

Humans perform co-saliency detection by first summarizing the consensus ...

0 Ni Zhang, et al. ∙

∙ 08/07/2021

Asymmetry-aware Scalable Locking

The pursuit of power-efficiency is popularizing asymmetric multicore pro...

0 Nian Liu, et al. ∙

∙ 07/08/2021

Instance-Level Relative Saliency Ranking with Graph Reasoning

Conventional salient object detection models cannot differentiate the im...

5 Nian Liu, et al. ∙

∙ 05/26/2021

Context-aware Cross-level Fusion Network for Camouflaged Object Detection

Camouflaged object detection (COD) is a challenging task due to the low ...

0 Yujia Sun, et al. ∙

∙ 05/19/2021

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Heterogeneous graph neural networks (HGNNs) as an emerging technique hav...

0 Xiao Wang, et al. ∙

∙ 04/25/2021

Visual Saliency Transformer

Recently, massive saliency detection methods have achieved promising res...

0 Nian Liu, et al. ∙

∙ 04/15/2021

Lorentzian Graph Convolutional Networks

Graph convolutional networks (GCNs) have received considerable research ...

0 Yiding Zhang, et al. ∙

∙ 04/06/2021

Weakly Supervised Video Salient Object Detection

Significant performance improvement has been achieved for fully-supervis...

5 Wangbo Zhao, et al. ∙

∙ 01/19/2021

Salient Object Detection via Integrity Learning

Albeit current salient object detection (SOD) works have achieved fantas...

4 Mingchen Zhuge, et al. ∙

∙ 10/12/2020

Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection

How to effectively fuse cross-modal information is the key problem for R...

0 Nian Liu, et al. ∙

∙ 02/02/2019

Online Multi-Object Tracking with Dual Matching Attention Networks

In this paper, we propose an online Multi-Object Tracking (MOT) approach...

0 Ji Zhu, et al. ∙

∙ 12/15/2018

PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection

In saliency detection, every pixel needs contextual information to make ...

0 Nian Liu, et al. ∙

∙ 08/22/2018

Scheduling a Rescue

Scheduling service order, in a very specific queueing/inventory model wi...

0 Nian Liu, et al. ∙

∙ 10/06/2016

A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection

Traditional saliency models usually adopt hand-crafted image features an...

0 Nian Liu, et al. ∙

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