b'Haibin Ling'

research

∙ 09/15/2023

Salient Object Detection in Optical Remote Sensing Images Driven by Transformer

Existing methods for Salient Object Detection in Optical Remote Sensing ...

0 Gongyang Li, et al. ∙

research

∙ 09/13/2023

Transparent Object Tracking with Enhanced Fusion Module

Accurate tracking of transparent objects, such as glasses, plays a criti...

0 Kalyan Garigapati, et al. ∙

research

∙ 07/19/2023

Divert More Attention to Vision-Language Object Tracking

Multimodal vision-language (VL) learning has noticeably pushed the tende...

0 Mingzhe Guo, et al. ∙

research

∙ 07/13/2023

Free-Form Composition Networks for Egocentric Action Recognition

Egocentric action recognition is gaining significant attention in the fi...

0 Haoran Wang, et al. ∙

research

∙ 04/04/2023

DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation

Fully supervised action segmentation works on frame-wise action recognit...

0 Peiyao Wang, et al. ∙

research

∙ 03/29/2023

CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network

Estimating the 6-DoF pose of a rigid object from a single RGB image is a...

0 Ruyi Lian, et al. ∙

research

∙ 03/27/2023

Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder

Deep neural networks are vulnerable to backdoor attacks, where an advers...

0 Tao Sun, et al. ∙

research

∙ 03/21/2023

The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector

Deep learning-based edge detectors heavily rely on pixel-wise labels whi...

0 Caixia Zhou, et al. ∙

research

∙ 03/19/2023

CCTV-Gun: Benchmarking Handgun Detection in CCTV Images

Gun violence is a critical security problem, and it is imperative for th...

0 Srikar Yellapragada, et al. ∙

research

∙ 03/17/2023

The Cascaded Forward Algorithm for Neural Network Training

Backpropagation algorithm has been widely used as a mainstream learning ...

0 Gongpei Zhao, et al. ∙

research

∙ 01/01/2023

Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment

Domain adaptive detection aims to improve the generalization of detector...

0 Libo Zhang, et al. ∙

research

∙ 11/22/2022

Backdoor Cleansing with Unlabeled Data

Due to the increasing computational demand of Deep Neural Networks (DNNs...

0 Lu Pang, et al. ∙

research

∙ 08/26/2022

Local Context-Aware Active Domain Adaptation

Active Domain Adaptation (ADA) queries the label of selected target samp...

4 Tao Sun, et al. ∙

research

∙ 08/26/2022

Domain Adaptation with Adversarial Training on Penultimate Activations

Enhancing model prediction confidence on unlabeled target data is an imp...

7 Tao Sun, et al. ∙

research

∙ 08/09/2022

Attention Hijacking in Trojan Transformers

Trojan attacks pose a severe threat to AI systems. Recent works on Trans...

13 Weimin Lyu, et al. ∙

research

∙ 07/18/2022

Prior Knowledge Guided Unsupervised Domain Adaptation

The waive of labels in the target domain makes Unsupervised Domain Adapt...

6 Tao Sun, et al. ∙

research

∙ 04/16/2022

Safe Self-Refinement for Transformer-based Domain Adaptation

Unsupervised Domain Adaptation (UDA) aims to leverage a label-rich sourc...

3 Tao Sun, et al. ∙

research

∙ 04/14/2022

Unsupervised Deep Learning Meets Chan-Vese Model

The Chan-Vese (CV) model is a classic region-based method in image segme...

7 Dihan Zheng, et al. ∙

research

∙ 03/25/2022

Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images

Salient object detection (SOD) in optical remote sensing images (RSIs), ...

14 Gongyang Li, et al. ∙

research

∙ 03/16/2022

EDTER: Edge Detection with Transformer

Convolutional neural networks have made significant progresses in edge d...

9 Mengyang Pu, et al. ∙

research

∙ 02/21/2022

Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography

Optical coherence tomography angiography (OCTA) is an important imaging ...

0 Jiaxiang Ren, et al. ∙

research

∙ 02/10/2022

Consistency and Diversity induced Human Motion Segmentation

Subspace clustering is a classical technique that has been widely used f...

10 Tao Zhou, et al. ∙

research

∙ 01/05/2022

Deep Probabilistic Graph Matching

Most previous learning-based graph matching algorithms solve the quadrat...

85 He Liu, et al. ∙

research

∙ 12/02/2021

SwinTrack: A Simple and Strong Baseline for Transformer Tracking

Transformer has recently demonstrated clear potential in improving visua...

0 Liting Lin, et al. ∙

research

∙ 12/02/2021

Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images

In the computer vision community, great progresses have been achieved in...

0 Gongyang Li, et al. ∙

research

∙ 11/29/2021

Searching the Search Space of Vision Transformer

Vision Transformer has shown great visual representation power in substa...

0 Minghao Chen, et al. ∙

research

∙ 10/19/2021

Osteoporosis Prescreening using Panoramic Radiographs through a Deep Convolutional Neural Network with Attention Mechanism

Objectives. The aim of this study was to investigate whether a deep conv...

4 Heng Fan, et al. ∙

research

∙ 10/04/2021

Deep Learning Approach Protecting Privacy in Camera-Based Critical Applications

Many critical applications rely on cameras to capture video footage for ...

14 Gautham Ramajayam, et al. ∙

research

∙ 09/01/2021

Joint Graph Learning and Matching for Semantic Feature Correspondence

In recent years, powered by the learned discriminative representation vi...

9 He Liu, et al. ∙

research

∙ 08/02/2021

RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth

As a fundamental building block in computer vision, edges can be categor...

4 Mengyang Pu, et al. ∙

research

∙ 07/19/2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Crowd counting on the drone platform is an interesting topic in computer...

2 Dawei Du, et al. ∙

research

∙ 07/01/2021

AutoFormer: Searching Transformers for Visual Recognition

Recently, pure transformer-based models have shown great potentials for ...

0 Minghao Chen, et al. ∙

research

∙ 07/01/2021

CBNetV2: A Composite Backbone Network Architecture for Object Detection

Consistent performance gains through exploring more effective network st...

0 Tingting Liang, et al. ∙

research

∙ 06/07/2021

Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification

Classifying the sub-categories of an object from the same super-category...

0 Yifeng Ding, et al. ∙

research

∙ 05/28/2021

TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation

Camera pose estimation or camera relocalization is the centerpiece in nu...

0 Xinyi Li, et al. ∙

research

∙ 04/01/2021

One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking

Despite remarkable progress achieved, most neural architecture search (N...

0 Minghao Chen, et al. ∙

research

∙ 04/01/2021

TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking

Tracking multiple objects in videos relies on modeling the spatial-tempo...

15 Peng Chu, et al. ∙

research

∙ 03/08/2021

OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection

Recently, neural architecture search (NAS) has been exploited to design ...

0 Tingting Liang, et al. ∙

research

∙ 02/09/2021

On the Robustness of Multi-View Rotation Averaging

Rotation averaging is a synchronization process on single or multiple ro...

0 Xinyi Li, et al. ∙

research

∙ 01/22/2021

Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation

As a natural way for human-computer interaction, fixation provides a pro...

0 Gongyang Li, et al. ∙

research

∙ 12/22/2020

Modeling Deep Learning Based Privacy Attacks on Physical Mail

Mail privacy protection aims to prevent unauthorized access to hidden co...

14 Bingyao Huang, et al. ∙

research

∙ 12/19/2020

Political Posters Identification with Appearance-Text Fusion

In this paper, we propose a method that efficiently utilizes appearance ...

0 Xuan Qin, et al. ∙

research

∙ 12/10/2020

SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers

Light-based adversarial attacks aim to fool deep learning-based image cl...

7 Bingyao Huang, et al. ∙

research

∙ 11/25/2020

CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking

High quality object proposals are crucial in visual tracking algorithms ...

0 Heng Fan, et al. ∙

research

∙ 11/24/2020

GMOT-40: A Benchmark for Generic Multiple Object Tracking

Multiple Object Tracking (MOT) has witnessed remarkable advances in rece...

0 Hexin Bai, et al. ∙

research

∙ 11/21/2020

Transparent Object Tracking Benchmark

Visual tracking has achieved considerable progress in recent years. Howe...

0 Heng Fan, et al. ∙

research

∙ 11/02/2020

Pushing the Envelope of Rotation Averaging for Visual SLAM

As an essential part of structure from motion (SfM) and Simultaneous Loc...

0 Xinyi Li, et al. ∙

research

∙ 09/08/2020

LaSOT: A High-quality Large-scale Single Object Tracking Benchmark

Despite great recent advances in visual tracking, its further developmen...

8 Heng Fan, et al. ∙

research

∙ 08/09/2020

Feature Space Augmentation for Long-Tailed Data

Real-world data often follow a long-tailed distribution as the frequency...

4 Peng Chu, et al. ∙

research

∙ 07/30/2020

End-to-end Full Projector Compensation

Full projector compensation aims to modify a projector input image to co...

2 Bingyao Huang, et al. ∙

Haibin Ling

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