b'Junwei Han'

research

∙ 09/10/2023

Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps

Over decades, neuroscience has accumulated a wealth of research results ...

0 Yaonai Wei, et al. ∙

research

∙ 08/18/2023

Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning

The past few years have witnessed the immense success of object detectio...

0 Xiang Yuan, et al. ∙

research

∙ 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. ∙

research

∙ 02/13/2023

Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images

Advanced Patch Attacks (PAs) on object detection in natural images have ...

0 Xuxiang Sun, et al. ∙

research

∙ 02/03/2023

Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics

Recently, long-tailed image classification harvests lots of research att...

0 Chaowei Fang, et al. ∙

research

∙ 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. ∙

research

∙ 12/26/2022

Fewer is More: Efficient Object Detection in Large Aerial Images

Current mainstream object detection methods for large aerial images usua...

0 Xingxing Xie, et al. ∙

research

∙ 07/28/2022

Towards Large-Scale Small Object Detection: Survey and Benchmarks

With the rise of deep convolutional neural networks, object detection ha...

17 Gong Cheng, et al. ∙

research

∙ 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. ∙

research

∙ 04/21/2022

Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation

Few-shot segmentation, which aims to segment unseen-class objects given ...

8 Chunbo Lang, et al. ∙

research

∙ 03/19/2022

Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation

Semantic segmentation with limited annotations, such as weakly supervise...

0 Junwen Pan, et al. ∙

research

∙ 03/15/2022

Learning What Not to Segment: A New Perspective on Few-Shot Segmentation

Recently few-shot segmentation (FSS) has been extensively developed. Mos...

0 Chunbo Lang, et al. ∙

research

∙ 03/02/2022

Colar: Effective and Efficient Online Action Detection by Consulting Exemplars

Online action detection has attracted increasing research interests in r...

0 Le Yang, et al. ∙

research

∙ 01/20/2022

Adaptive neighborhood Metric learning

In this paper, we reveal that metric learning would suffer from serious ...

0 Kun Song, et al. ∙

research

∙ 01/07/2022

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Recent advances in machine learning and prevalence of digital medical im...

9 Dingwen Zhang, et al. ∙

research

∙ 01/01/2022

Robust Region Feature Synthesizer for Zero-Shot Object Detection

Zero-shot object detection aims at incorporating class semantic vectors ...

5 Peiliang Huang, et al. ∙

research

∙ 12/17/2021

Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition

The great success of deep learning is mainly due to the large-scale netw...

0 Guangyu Guo, et al. ∙

research

∙ 12/17/2021

Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching

Current weakly supervised semantic segmentation (WSSS) frameworks usuall...

11 Dingwen Zhang, et al. ∙

research

∙ 11/24/2021

Background-Click Supervision for Temporal Action Localization

Weakly supervised temporal action localization aims at learning the inst...

2 Le Yang, et al. ∙

research

∙ 10/27/2021

Physically Explainable CNN for SAR Image Classification

Integrating the special electromagnetic characteristics of Synthetic Ape...

0 Zhongling Huang, et al. ∙

research

∙ 10/05/2021

Anchor-free Oriented Proposal Generator for Object Detection

Oriented object detection is a practical and challenging task in remote ...

0 Gong Cheng, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 08/12/2021

Oriented R-CNN for Object Detection

Current state-of-the-art two-stage detectors generate oriented proposals...

0 Xingxing Xie, et al. ∙

research

∙ 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. ∙

research

∙ 04/25/2021

Visual Saliency Transformer

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

0 Nian Liu, et al. ∙

research

∙ 04/06/2021

Weakly Supervised Video Salient Object Detection

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

5 Wangbo Zhao, et al. ∙

research

∙ 02/18/2021

Densely Nested Top-Down Flows for Salient Object Detection

With the goal of identifying pixel-wise salient object regions from each...

0 Chaowei Fang, et al. ∙

research

∙ 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. ∙

research

∙ 08/22/2020

Revisiting Anchor Mechanisms for Temporal Action Localization

Most of the current action localization methods follow an anchor-based p...

12 Le Yang, et al. ∙

research

∙ 08/18/2020

Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization

Weakly supervised temporal action localization is a newly emerging yet w...

0 Le Yang, et al. ∙

research

∙ 07/13/2020

Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning

As a concrete application of multi-view learning, multi-view classificat...

0 Jinglin Xu, et al. ∙

research

∙ 05/03/2020

Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

Remote sensing image scene classification, which aims at labeling remote...

5 Gong Cheng, et al. ∙

research

∙ 08/31/2019

Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark

Substantial efforts have been devoted more recently to presenting variou...

0 Ke Li, et al. ∙

research

∙ 08/19/2019

Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity

Clustering is an effective technique in data mining to group a set of ob...

1 Jinglin Xu, et al. ∙

research

∙ 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. ∙

research

∙ 03/03/2017

Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning

Weakly-supervised object detection (WOD) is a challenging problems in co...

0 Dingwen Zhang, et al. ∙

research

∙ 03/01/2017

Remote Sensing Image Scene Classification: Benchmark and State of the Art

Remote sensing image scene classification plays an important role in a w...

0 Gong Cheng, et al. ∙

research

∙ 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. ∙

research

∙ 04/24/2016

A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges

Co-saliency detection is a newly emerging and rapidly growing research a...

0 Dingwen Zhang, et al. ∙

research

∙ 03/20/2016

A Survey on Object Detection in Optical Remote Sensing Images

Object detection in optical remote sensing images, being a fundamental b...

0 Gong Cheng, et al. ∙

Junwei Han

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