b'Deng-Ping Fan'

research

∙ 08/16/2023

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

Ultrasound (US) imaging is indispensable in clinical practice. To diagno...

0 Han Zhou, et al. ∙

research

∙ 07/27/2023

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges

Google's Bard has emerged as a formidable competitor to OpenAI's ChatGPT...

0 Haotong Qin, et al. ∙

research

∙ 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. ∙

research

∙ 06/13/2023

Referring Camouflaged Object Detection

In this paper, we consider the problem of referring camouflaged object d...

0 Xuying Zhang, et al. ∙

research

∙ 06/06/2023

Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Deep neural networks have been widely applied in dichotomous medical ima...

0 Lian Liu, et al. ∙

research

∙ 05/23/2023

WinDB: HMD-free and Distortion-free Panoptic Video Fixation Learning

To date, the widely-adopted way to perform fixation collection in panopt...

0 Guotao Wang, et al. ∙

research

∙ 04/28/2023

Segment Anything Model for Medical Images?

The Segment Anything Model (SAM) is the first foundation model for gener...

1 Yuhao Huang, et al. ∙

research

∙ 04/23/2023

Indiscernible Object Counting in Underwater Scenes

Recently, indiscernible scene understanding has attracted a lot of atten...

0 Guolei Sun, et al. ∙

research

∙ 04/21/2023

Advances in Deep Concealed Scene Understanding

Concealed scene understanding (CSU) is a hot computer vision topic aimin...

0 Deng-Ping Fan, et al. ∙

research

∙ 04/12/2023

SAM Struggles in Concealed Scenes – Empirical Study on "Segment Anything"

Segmenting anything is a ground-breaking step toward artificial general ...

0 Ge-Peng Ji, et al. ∙

research

∙ 04/11/2023

CamDiff: Camouflage Image Augmentation via Diffusion Model

The burgeoning field of camouflaged object detection (COD) seeks to iden...

0 Xue-Jing Luo, et al. ∙

research

∙ 02/02/2023

QR-CLIP: Introducing Explicit Open-World Knowledge for Location and Time Reasoning

Daily images may convey abstract meanings that require us to memorize an...

0 Weimin Shi, et al. ∙

research

∙ 12/10/2022

Source-free Depth for Object Pop-out

Depth cues are known to be useful for visual perception. However, direct...

0 Zongwei Wu, et al. ∙

research

∙ 12/10/2022

CamoFormer: Masked Separable Attention for Camouflaged Object Detection

How to identify and segment camouflaged objects from the background is c...

0 Bowen Yin, et al. ∙

research

∙ 10/27/2022

Masked Vision-Language Transformer in Fashion

We present a masked vision-language transformer (MVLT) for fashion-speci...

0 Ge-Peng Ji, et al. ∙

research

∙ 07/05/2022

OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers

We present OSFormer, the first one-stage transformer framework for camou...

0 Jialun Pei, et al. ∙

research

∙ 05/30/2022

GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector

In this paper, we present a novel end-to-end group collaborative learnin...

8 Peng Zheng, et al. ∙

research

∙ 05/25/2022

Deep Gradient Learning for Efficient Camouflaged Object Detection

This paper introduces DGNet, a novel deep framework that exploits object...

0 Ge-Peng Ji, et al. ∙

research

∙ 03/27/2022

Video Polyp Segmentation: A Deep Learning Perspective

In the deep learning era, we present the first comprehensive video polyp...

10 Ge-Peng Ji, et al. ∙

research

∙ 03/22/2022

High-resolution Iterative Feedback Network for Camouflaged Object Detection

Spotting camouflaged objects that are visually assimilated into the back...

0 Xiaobin Hu, et al. ∙

research

∙ 03/14/2022

Implicit Motion Handling for Video Camouflaged Object Detection

We propose a new video camouflaged object detection (VCOD) framework tha...

0 Xuelian Cheng, et al. ∙

research

∙ 03/06/2022

Highly Accurate Dichotomous Image Segmentation

We present a systematic study on a new task called dichotomous image seg...

9 Xuebin Qin, et al. ∙

research

∙ 12/31/2021

Deep Facial Synthesis: A New Challenge

The goal of this paper is to conduct a comprehensive study on the facial...

26 Deng-Ping Fan, et al. ∙

research

∙ 12/27/2021

Weakly Supervised Visual-Auditory Saliency Detection with Multigranularity Perception

Thanks to the rapid advances in deep learning techniques and the wide av...

7 Guotao Wang, et al. ∙

research

∙ 09/15/2021

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

Existing RGB-D saliency detection models do not explicitly encourage RGB...

0 Jing Zhang, et al. ∙

research

∙ 08/18/2021

Specificity-preserving RGB-D Saliency Detection

RGB-D saliency detection has attracted increasing attention, due to its ...

12 Tao Zhou, et al. ∙

research

∙ 08/16/2021

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Most polyp segmentation methods use CNNs as their backbone, leading to t...

11 Bo Dong, et al. ∙

research

∙ 08/06/2021

Full-Duplex Strategy for Video Object Segmentation

Appearance and motion are two important sources of information in video ...

0 Ge-Peng Ji, et al. ∙

research

∙ 07/24/2021

ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos

Exploring to what humans pay attention in dynamic panoramic scenes is us...

7 Yi Zhang, et al. ∙

research

∙ 05/18/2021

Progressively Normalized Self-Attention Network for Video Polyp Segmentation

Existing video polyp segmentation (VPS) models typically employ convolut...

14 Ge-Peng Ji, et al. ∙

research

∙ 05/07/2021

Salient Objects in Clutter

This paper identifies and addresses a serious design bias of existing sa...

0 Deng-Ping Fan, et al. ∙

research

∙ 04/21/2021

Camouflaged Object Segmentation with Distraction Mining

Camouflaged object segmentation (COS) aims to identify objects that are ...

0 Haiyang Mei, et al. ∙

research

∙ 04/20/2021

Transformer Transforms Salient Object Detection and Camouflaged Object Detection

The transformer networks, which originate from machine translation, are ...

0 Yuxin Mao, et al. ∙

research

∙ 04/03/2021

Mutual Graph Learning for Camouflaged Object Detection

Automatically detecting/segmenting object(s) that blend in with their su...

0 Qiang Zhai, et al. ∙

research

∙ 03/30/2021

Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

We present a new vision-language (VL) pre-training model dubbed Kaleido-...

0 Mingchen Zhuge, et al. ∙

research

∙ 03/06/2021

Simultaneously Localize, Segment and Rank the Camouflaged Objects

Camouflage is a key defence mechanism across species that is critical to...

0 Yunqiu Lyu, et al. ∙

research

∙ 02/20/2021

Concealed Object Detection

We present the first systematic study on concealed object detection (COD...

0 Deng-Ping Fan, et al. ∙

research

∙ 01/19/2021

Salient Object Detection via Integrity Learning

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

4 Mingchen Zhuge, et al. ∙

research

∙ 01/12/2021

Boundary-Aware Segmentation Network for Mobile and Web Applications

Although deep models have greatly improved the accuracy and robustness o...

4 Xuebin Qin, et al. ∙

research

∙ 10/10/2020

Light Field Salient Object Detection: A Review and Benchmark

Salient object detection (SOD) is a long-standing research topic in comp...

0 Yao Jiang, et al. ∙

research

∙ 09/07/2020

Uncertainty Inspired RGB-D Saliency Detection

We propose the first stochastic framework to employ uncertainty for RGB-...

11 Jing Zhang, et al. ∙

research

∙ 08/26/2020

Siamese Network for RGB-D Salient Object Detection and Beyond

Existing RGB-D salient object detection (SOD) models usually treat RGB a...

0 Keren Fu, et al. ∙

research

∙ 08/01/2020

RGB-D Salient Object Detection: A Survey

Salient object detection (SOD), which simulates the human visual percept...

0 Tao Zhou, et al. ∙

research

∙ 04/30/2020

Bilateral Attention Network for RGB-D Salient Object Detection

Most existing RGB-D salient object detection (SOD) methods focus on the ...

11 Zhao Zhang, et al. ∙

research

∙ 04/22/2020

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causi...

16 Deng-Ping Fan, et al. ∙

research

∙ 04/18/2020

JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection

This paper proposes a novel joint learning and densely-cooperative fusio...

4 Keren Fu, et al. ∙

research

∙ 04/15/2020

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

Recently, the novel coronavirus 2019 (COVID-19) has caused a pandemic di...

32 Yu-Huan Wu, et al. ∙

research

∙ 08/21/2019

Scoot: A Perceptual Metric for Facial Sketches

While it is trivial for humans to quickly assess the perceptual similari...

10 Deng-Ping Fan, et al. ∙

research

∙ 07/15/2019

Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks

The use of RGB-D information for salient object detection has been explo...

0 Deng-Ping Fan, et al. ∙

research

∙ 05/14/2019

LSANet: Feature Learning on Point Sets by Local Spatial Attention

Directly learning features from the point cloud has become an active res...

0 Lin-Zhuo Chen, et al. ∙

Deng-Ping Fan

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