output
20032026
most citedA Pseudo DNA Cryptography Method

304 citations

Showing cs.CVShow all

15 papers · 1 filter

cs.CV2026

H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation

Jia Wang, Jiaming Cai, Zunying Hu +4

Registration-based Few-shot medical image segmentation (RFMIS) aims to generate pseudo-labels for unlabeled images by warping a labeled image through registration. However, existin…

cs.CV2025★ 1 cited

DMSORT: An efficient parallel maritime multi-object tracking architecture for unmanned vessel platforms

Shengyu Tang, Zeyuan Lu, Jiazhi Dong +4

Accurate perception of the marine environment through robust multi-object tracking (MOT) is essential for ensuring safe vessel navigation and effective maritime surveillance. Howev…

cs.CV2022★ 22 cited

Large-Field Contextual Feature Learning for Glass Detection

Haiyang Mei, Xin Yang, Letian Yu +3

Glass is very common in our daily life. Existing computer vision systems neglect it and thus may have severe consequences, e.g., a robot may crash into a glass wall. However, sensi…

cs.CV2019

Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus

Dongfang Yang, Linhui Li, Keith Redmill +1

Predicting the collective motion of a group of pedestrians (a crowd) under the vehicle influence is essential for the development of autonomous vehicles to deal with mixed urban sc…

cs.CV2018★ 4 cited

A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI

Risheng Liu, Yuxi Zhang, Shichao Cheng +2

Magnetic Resonance Imaging (MRI) is one of the most dynamic and safe imaging techniques available for clinical applications. However, the rather slow speed of MRI acquisitions limi…

cs.CV2018

Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond

Risheng Liu, Yi He, Shichao Cheng +2

Blind image deblurring plays a very important role in many vision and multimedia applications. Most existing works tend to introduce complex priors to estimate the sharp image stru…

cs.CV2018

Multi-view Reconstructive Preserving Embedding for Dimension Reduction

Huibing Wang, Lin Feng, Adong Kong +1

With the development of feature extraction technique, one sample always can be represented by multiple features which locate in high-dimensional space. Multiple features can re ect…

cs.CV2018★ 5 cited

Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization

Risheng Liu, Shichao Cheng, Yi He +2

Operator splitting methods have been successfully used in computational sciences, statistics, learning and vision areas to reduce complex problems into a series of simpler subprobl…

cs.CV2018★ 9 cited

Correlation Tracking via Joint Discrimination and Reliability Learning

Chong Sun, Dong Wang, Huchuan Lu +1

For visual tracking, an ideal filter learned by the correlation filter (CF) method should take both discrimination and reliability information. However, existing attempts usually f…

cs.CV2018★ 12 cited

Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps

Pingping Zhang, Wei Liu, Dong Wang +4

In this paper, we propose a novel effective non-rigid object tracking framework based on the spatial-temporal consistent saliency detection. In contrast to most existing trackers t…

cs.CV2018★ 9 cited

Salient Object Detection by Lossless Feature Reflection

Pingping Zhang, Wei Liu, Huchuan Lu +1

Salient object detection, which aims to identify and locate the most salient pixels or regions in images, has been attracting more and more interest due to its various real-world a…

cs.CV2017★ 9 cited

ORGB: Offset Correction in RGB Color Space for Illumination-Robust Image Processing

Zhenqiang Ying, Ge Li, Sixin Wen +1

Single materials have colors which form straight lines in RGB space. However, in severe shadow cases, those lines do not intersect the origin, which is inconsistent with the descri…

cs.CV2017★ 6 cited

Learning Spatial-Aware Regressions for Visual Tracking

Chong Sun, Dong Wang, Huchuan Lu +1

In this paper, we analyze the spatial information of deep features, and propose two complementary regressions for robust visual tracking. First, we propose a kernelized ridge regre…

cs.CV2016★ 52 cited

End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks

Yifan Wang, Lijun Wang, Hongyu Wang +1

One impressive advantage of convolutional neural networks (CNNs) is their ability to automatically learn feature representation from raw pixels, eliminating the need for hand-desig…

cs.CV2012★ 68 cited

Fixed-Rank Representation for Unsupervised Visual Learning

Risheng Liu, Zhouchen Lin, Fernando De la Torre +1

Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-the-art technique…