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Claim this profileWorks192 from public data
- 2,670
- Gated Siamese Convolutional Neural Network Architecture for Human Re-identification815
A gating function is proposed to selectively emphasize such fine common local patterns that may be essential to distinguish positive pairs from hard negative pairs by comparing the mid-level features across pairs of images.
- A Siamese Long Short-Term Memory Architecture for Human Re-identification596
A novel siamese Long Short-Term Memory (LSTM) architecture that can process image regions sequentially and enhance the discriminative capability of local feature representation by leveraging contextual information.
- Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification490
A novel end-to-end trainable framework, called Dual ATtention Matching network (DuATM), to learn context-aware feature sequences and perform attentive sequence comparison simultaneously, in which both intrasequence and inter-sequence attention strategies are used for feature refinement and feature-pair alignment.
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- Optical Imaging of Functional Organization in the Monkey Inferotemporal Cortex349
To investigate the functional organization of object recognition, the technique of optical imaging was applied to the primate inferotemporal cortex, which is thought to be essential for object recognition.
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- Video Tracking Using Learned Hierarchical Features190
This paper offline learn features robust to diverse motion patterns from auxiliary video sequences via a two-layer convolutional neural network and proposes a domain adaptation module to online adapt the pre-learned features according to the specific target object.
- Functional architecture in monkey inferotemporal cortex revealed by in vivo optical imaging157
The results confirm the regional clustering of cells with similar stimulus selectivity and suggest larger units in which some parameters of object features are continuously mapped.
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- Seeing People in Social Context: Recognizing People and Social Relationships144
A model for representing the interaction between social relationship, facial appearance, and identity is introduced and it is shown that the family relationship a pair of people share influences the relative pairwise features between them.
- Thermal Infrared Image Colorization for Nighttime Driving Scenes With Top-Down Guided Attention114
A top-down guided attention module and an elaborate attentional loss are first designed to reduce the semantic encoding ambiguity during translation, and a structured gradient alignment loss is introduced to encourage edge consistency between the translated and input images.
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- Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association111
A novel and efficient way to obtain discriminative appearance-based tracklet affinity models that jointly learns the convolutional neural networks (CNNs) and temporally constrained metrics under a unified framework is proposed.
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- Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation86
A novel method based on online target-specific metric learning and coherent dynamics estimation for tracklet (track fragment) association by network flow optimization in long-term multi-person tracking that outperforms several state-of-the-art tracking methods.
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- Multiple gamma rhythms carry distinct spatial frequency information in primary visual cortex82
The findings suggest that gamma rhythms reflect the neural dynamics of neural circuitries that process different SF information in the visual system, which may be crucial for multiplexing SF information and synchronizing different features of an object.
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- Difference in the representation of cardinal and oblique contours in cat visual cortex64
A difference in the representations of the cardinal and oblique contours in area 18 of the cat visual cortex was demonstrated, which was statistically significant and demonstrated that the proportion of the cortical area activated reached a peak during the presentation of horizontal or vertical contours.
- Deep learning‐based crop row detection for infield navigation of agri‐robots60
This paper presents a robust crop row detection algorithm that withstands such field variations using inexpensive cameras and demonstrated robust vision‐based crop row detection in challenging field conditions outperforming the baseline.
- Automated blob detection using iterative Laplacian of Gaussian filtering and unilateral second-order Gaussian kernels50
An automated blob detection method that is able to tackle both isolated and partially overlapping blob objects is proposed, and the proposed method outperforms the competing methods including state-of-the-art methods for dealing with partially overlap blob objects.
- Part-based Tracking via Discriminative Correlation Filters48
The Bayesian inference framework and a structural constraint mask are adopted to enable the tracker to be robust to various appearance changes and a discriminative part selection scheme is adopted to further improve performance and accelerate the method.
- Application of canny operator threshold adaptive segmentation algorithm combined with digital image processing in tunnel face crevice extraction46
The experimental results show that the threshold adaptive segmentation algorithm combined with the Canny operator can extract complete rock cracks with less than a 2% extraction error rate and indicates that the algorithm proposed here is applicable to geological sketch and provides a reference for the classification of surrounding rock on the tunnel face.
- Two Algorithms for the Detection and Tracking of Moving Vehicle Targets in Aerial Infrared Image Sequences46
By analyzing the characteristics of infrared moving targets, a Symmetric Frame Differencing Target Detection algorithm based on local clustering segmentation is proposed, which uses local grayscale clustering to accomplish target detection after carrying out symmetric frame differencing to locate the regions of change.
- Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow39
This paper proposes a real-time integration based on robust estimator to enable robust estimators like M-smoother to run in real time and effectively suppress the noisy background estimates obtained from Gaussian mixture models.
- A vehicle tracking algorithm combining detector and tracker37
A vehicle tracking method for traffic scenes is presented based on a detection-based tracking (DBT) framework based on the You Only Look Once (YOLO) model and the method of combining a spatial constraint and filter template matching is adopted.
- ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images37
This work considers simultaneously matching object instances in a set of images, where both inlier and outlier features are extracted, and proposes a novel framework, termed Robust Object Matching using Low-rank constraint (ROML), to address this problem.
- Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System32
Extensive experiments show the method outperforms SOTA approaches and validate the ability of AntiUAV600 to enhance UAV perception performance due to its large scale and complexity.
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- Functional segregation of plural regions representing cardinal contours in cat primary visual cortex8
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- Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks4
Experimental results demonstrate that the propose to learn hierarchical features for visual object tracking by using tree structure based Recursive Neural Networks (RNN) can significantly improve tracking performance on benchmark datasets.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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