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08/04/2023
Exploring Part-Informed Visual-Language Learning for Person Re-Identification
Recently, visual-language learning has shown great potential in enhancin...
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05/06/2023
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance
Motivated by the maneuvering target tracking with sensors such as radar ...
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04/15/2022
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing
Crowd counting based on density maps is generally regarded as a regressi...
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04/15/2022
Crowd counting with segmentation attention convolutional neural network
Deep learning occupies an undisputed dominance in crowd counting. In thi...
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04/15/2022
Crowd counting with crowd attention convolutional neural network
Crowd counting is a challenging problem due to the scene complexity and ...
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12/12/2021
A Restless Bandit Model for Energy-Efficient Job Assignments in Server Farms
We aim to maximize the energy efficiency, gauged as average energy cost ...
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10/12/2021
On Exploring and Improving Robustness of Scene Text Detection Models
It is crucial to understand the robustness of text detection models with...
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07/07/2021
Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation
We propose a simple yet reliable bottom-up approach with a good trade-of...
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11/24/2019
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
We rethink a well-know bottom-up approach for multi-person pose estimati...
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05/09/2019
Grand Challenge of 106-Point Facial Landmark Localization
Facial landmark localization is a very crucial step in numerous face rel...
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10/27/2016
Joint Detection and Tracking for Multipath Targets: A Variational Bayesian Approach
Different from traditional point target tracking systems assuming that a...
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06/05/2016