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08/24/2023
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking
Siamese network has been a de facto benchmark framework for 3D LiDAR obj...
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06/29/2023
Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone
This paper proposes a multi-object tracking (MOT) algorithm for traffic ...
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12/17/2022
Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning
Referring Expression Segmentation (RES), which is aimed at localizing an...
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03/11/2022
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection
Co-salient object detection, with the target of detecting co-existed sal...
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02/18/2022
Towards Simple and Accurate Human Pose Estimation with Stair Network
In this paper, we focus on tackling the precise keypoint coordinates reg...
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08/03/2021
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
We focus on tackling weakly supervised semantic segmentation with scribb...
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07/09/2021
Fast Pixel-Matching for Video Object Segmentation
Video object segmentation, aiming to segment the foreground objects give...
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06/08/2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation is receiving great attention due...
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06/08/2021
Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding
In this paper, we are tackling the weakly-supervised referring expressio...
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03/30/2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Few-shot segmentation has been attracting a lot of attention due to its ...
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03/09/2021
Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning
In this paper, we are tackling the proposal-free referring expression gr...
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12/08/2020
Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence
Sparse labels have been attracting much attention in recent years. Howev...
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04/28/2020
Robust Generative Adversarial Network
Generative adversarial networks (GANs) are powerful generative models, b...
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04/16/2020
Fast Template Matching and Update for Video Object Tracking and Segmentation
In this paper, the main task we aim to tackle is the multi-instance semi...
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11/19/2019
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
Weakly supervised semantic segmentation is a challenging task as it only...
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11/02/2019
Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples
In this paper, we aim to tackle the one-shot person re-identification pr...
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09/27/2019
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning
In this paper, we aim to tackle the task of semi-supervised video object...
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08/27/2019
Segmentation Mask Guided End-to-End Person Search
Person search aims to search for a target person among multiple images r...
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07/22/2019
A Single Image based Head Pose Estimation Method with Spherical Parameterization
Head pose estimation plays a vital role in various applications, e.g., d...
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01/18/2019
Generative Adversarial Classifier for Handwriting Characters Super-Resolution
Generative Adversarial Networks (GAN) receive great attentions recently ...
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11/08/2018
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
Correlation filter has been proven to be an effective tool for a number ...
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05/08/2018
Image Ordinal Classification and Understanding: Grid Dropout with Masking Label
Image ordinal classification refers to predicting a discrete target valu...
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05/16/2017