b'Jing Zhang'

research

∙ 09/15/2021

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

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

Jing Zhang, et al. ∙

research

∙ 08/28/2021

AP-10K: A Benchmark for Animal Pose Estimation in the Wild

Accurate animal pose estimation is an essential step towards understandi...

Hang Yu, et al. ∙

research

∙ 08/28/2021

Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images

Road segmentation from remote sensing images is a challenging task with ...

Lefei Zhang, et al. ∙

research

∙ 08/20/2021

Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization

Warping-based video stabilizers smooth camera trajectory by constraining...

Yufei Xu, et al. ∙

research

∙ 08/17/2021

GCCAD: Graph Contrastive Coding for Anomaly Detection

Graph-based anomaly detection has been widely used for detecting malicio...

Bo Chen, et al. ∙

research

∙ 08/13/2021

Bi-Temporal Semantic Reasoning for the Semantic Change Detection of HR Remote Sensing Images

Semantic change detection (SCD) extends the change detection (CD) task t...

Lei Ding, et al. ∙

research

∙ 08/12/2021

Learning Visual Affordance Grounding from Demonstration Videos

Visual affordance grounding aims to segment all possible interaction reg...

Hongchen Luo, et al. ∙

research

∙ 08/08/2021

One-Shot Object Affordance Detection in the Wild

Affordance detection refers to identifying the potential action possibil...

Wei Zhai, et al. ∙

research

∙ 08/03/2021

I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection

Existing methods for arbitrary-shaped text detection in natural scenes f...

Jian Ye, et al. ∙

research

∙ 07/27/2021

Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers

Detection transformers have recently shown promising object detection re...

Wen Wang, et al. ∙

research

∙ 07/20/2021

DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation

Unsupervised domain adaptation (UDA) for semantic segmentation aims to a...

Li Gao, et al. ∙

research

∙ 07/15/2021

Deep Automatic Natural Image Matting

Automatic image matting (AIM) refers to estimating the soft foreground f...

Jizhizi Li, et al. ∙

research

∙ 07/12/2021

Automated Mobile App Test Script Intent Generation via Image and Code Understanding

Testing is the most direct and effective technique to ensure software qu...

Shengcheng Yu, et al. ∙

research

∙ 06/29/2021

Looking Outside the Window: Wider-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images

Long-range context information is crucial for the semantic segmentation ...

Lei Ding, et al. ∙

research

∙ 06/28/2021

One-Shot Affordance Detection

Affordance detection refers to identifying the potential action possibil...

Hongchen Luo, et al. ∙

research

∙ 06/27/2021

Few-Shot Domain Expansion for Face Anti-Spoofing

Face anti-spoofing (FAS) is an indispensable and widely used module in f...

Bowen Yang, et al. ∙

research

∙ 06/25/2021

Energy-Based Generative Cooperative Saliency Prediction

Conventional saliency prediction models typically learn a deterministic ...

Jing Zhang, et al. ∙

research

∙ 06/24/2021

Depth-Guided Camouflaged Object Detection

Camouflaged object detection (COD) aims to segment camouflaged objects h...

Jing Zhang, et al. ∙

research

∙ 06/22/2021

Confidence-Aware Learning for Camouflaged Object Detection

Confidence-aware learning is proven as an effective solution to prevent ...

Jiawei Liu, et al. ∙

research

∙ 06/16/2021

Invertible Attention

Attention has been proved to be an efficient mechanism to capture long-r...

Jiajun Zha, et al. ∙

research

∙ 06/07/2021

ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias

Transformers have shown great potential in various computer vision tasks...

Yufei Xu, et al. ∙

research

∙ 06/07/2021

A Comprehensive Survey on Image Dehazing Based on Deep Learning

The presence of haze significantly reduces the quality of images. Resear...

Jie Gui, et al. ∙

research

∙ 05/24/2021

SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos

Salient human detection (SHD) in dynamic 360 immersive videos is of grea...

Yi Zhang, et al. ∙

research

∙ 05/07/2021

Salient Objects in Clutter

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

Deng-Ping Fan, et al. ∙

research

∙ 05/04/2021

End-to-end One-shot Human Parsing

Previous human parsing models are limited to parsing humans into pre-def...

Haoyu He, et al. ∙

research

∙ 04/29/2021

Privacy-Preserving Portrait Matting

Recently, there has been an increasing concern about the privacy issue r...

Jizhizi Li, et al. ∙

research

∙ 04/28/2021

A Survey on User-Centric Cell-Free Massive MIMO Systems

The mobile data traffic has been exponentially growing during the last d...

Shuaifei Chen, et al. ∙

research

∙ 04/20/2021

Transformer Transforms Salient Object Detection and Camouflaged Object Detection

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

Yuxin Mao, et al. ∙

research

∙ 04/20/2021

Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction

Conversion Rate (CVR) prediction in modern industrial e-commerce platfor...

Hong Wen, et al. ∙

research

∙ 04/15/2021

Learning structure-aware semantic segmentation with image-level supervision

Compared with expensive pixel-wise annotations, image-level labels make ...

Jiawei Liu, et al. ∙

research

∙ 04/07/2021

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data

Electronic Health Record (EHR) data has been of tremendous utility in Ar...

Tingyi Wanyan, et al. ∙

research

∙ 04/06/2021

Weakly Supervised Video Salient Object Detection

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

Wangbo Zhao, et al. ∙

research

∙ 03/26/2021

VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation

Domain adaptation aims to leverage a label-rich domain (the source domai...

Jiayi Tian, et al. ∙

research

∙ 03/22/2021

Forest Fire Clustering: Cluster-oriented Label Propagation Clustering and Monte Carlo Verification Inspired by Forest Fire Dynamics

Clustering methods group data points together and assign them group-leve...

Zhanlin Chen, 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...

Yunqiu Lyu, et al. ∙

research

∙ 02/24/2021

Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography

Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool t...

Xuefeng Du, et al. ∙

research

∙ 02/16/2021

Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents

Planning future operational scenarios of bulk power systems that meet se...

Xiumin Shang, et al. ∙

research

∙ 12/28/2020

Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach

The proliferation of massive open online courses (MOOCs) demands an effe...

Bowen Hao, et al. ∙

research

∙ 12/24/2020

Memory-Gated Recurrent Networks

The essence of multivariate sequential learning is all about how to extr...

Yaquan Zhang, et al. ∙

research

∙ 12/22/2020

Residual Matrix Product State for Machine Learning

Tensor network (TN), which originates from quantum physics, shows broad ...

Ye-Ming Meng, et al. ∙

research

∙ 12/22/2020

Progressive One-shot Human Parsing

Prior human parsing models are limited to parsing humans into classes pr...

Haoyu He, et al. ∙

research

∙ 12/15/2020

SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method

Recent years have witnessed the rapid growth of Small Private Online Cou...

Zhuonan Liang, et al. ∙

research

∙ 12/14/2020

COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking

Expert finding, a popular service provided by many online websites such ...

Bo Chen, et al. ∙

research

∙ 12/13/2020

Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation

Cold-start problem is a fundamental challenge for recommendation tasks. ...

Bowen Hao, et al. ∙

research

∙ 12/10/2020

Uncertainty-Aware Deep Calibrated Salient Object Detection

Existing deep neural network based salient object detection (SOD) method...

Jing Zhang, et al. ∙

research

∙ 12/01/2020

3D Guided Weakly Supervised Semantic Segmentation

Pixel-wise clean annotation is necessary for fully-supervised semantic s...

Weixuan Sun, et al. ∙

research

∙ 11/30/2020

SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses

Deep learning has demonstrated its power in image rectification by lever...

Jinlong Fan, et al. ∙

research

∙ 11/30/2020

DUT: Learning Video Stabilization by Simply Watching Unstable Videos

We propose a Deep Unsupervised Trajectory-based stabilization framework ...

Yufei Xu, et al. ∙

research

∙ 11/30/2020

Inter-layer Transition in Neural Architecture Search

Differential Neural Architecture Search (NAS) methods represent the netw...

Benteng Ma, et al. ∙

research

∙ 11/17/2020

Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

In the Internet of Things (IoT) era, billions of sensors and devices col...

Jing Zhang, et al. ∙

Jing Zhang

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