Search Results for author: Xiang Ruan

Found 12 papers, 4 papers with code

CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss

no code implementations ECCV 2020 Lijun Wang, Jianming Zhang, Yifan Wang, Huchuan Lu, Xiang Ruan

This paper proposes a hierarchical loss for monocular depth estimation, which measures the differences between the prediction and ground truth in hierarchical embedding spaces of depth maps.

Monocular Depth Estimation

Plug-and-Play Regulators for Image-Text Matching

1 code implementation23 Mar 2023 Haiwen Diao, Ying Zhang, Wei Liu, Xiang Ruan, Huchuan Lu

Exploiting fine-grained correspondence and visual-semantic alignments has shown great potential in image-text matching.

Image Retrieval Image-text matching +1

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

no code implementations CVPR 2022 Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiang Ruan

With the popularity of multi-modal sensors, visible-thermal (RGB-T) object tracking is to achieve robust performance and wider application scenarios with the guidance of objects' temperature information.

Attribute Object Tracking +1

High-Performance Transformer Tracking

1 code implementation25 Mar 2022 Xin Chen, Bin Yan, Jiawen Zhu, Huchuan Lu, Xiang Ruan, Dong Wang

First, we present a transformer tracking (named TransT) method based on the Siamese-like feature extraction backbone, the designed attention-based fusion mechanism, and the classification and regression head.

Vocal Bursts Intensity Prediction

Self-Supervised Pretraining for RGB-D Salient Object Detection

1 code implementation29 Jan 2021 Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan

Existing CNNs-Based RGB-D salient object detection (SOD) networks are all required to be pretrained on the ImageNet to learn the hierarchy features which helps provide a good initialization.

Object object-detection +3

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection

no code implementations CVPR 2018 Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji

Moreover, to effectively recover object boundaries, we propose a local Boundary Refinement Network (BRN) to adaptively learn the local contextual information for each spatial position.

object-detection RGB Salient Object Detection +2

Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection

1 code implementation ICCV 2017 Pingping Zhang, Dong Wang, Huchuan Lu, Hongyu Wang, Xiang Ruan

In addition, to achieve accurate boundary inference and semantic enhancement, edge-aware feature maps in low-level layers and the predicted results of low resolution features are recursively embedded into the learning framework.

Ranked #19 on RGB Salient Object Detection on DUTS-TE (max F-measure metric)

Object object-detection +2

Sample-Specific SVM Learning for Person Re-Identification

no code implementations CVPR 2016 Ying Zhang, Baohua Li, Huchuan Lu, Atshushi Irie, Xiang Ruan

Person re-identification addresses the problem of matching people across disjoint camera views and extensive efforts have been made to seek either the robust feature representation or the discriminative matching metrics.

Dictionary Learning imbalanced classification +1

Salient Object Detection via Bootstrap Learning

no code implementations CVPR 2015 Na Tong, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang

Furthermore, we show that the proposed bootstrap learning approach can be easily applied to other bottom-up saliency models for significant improvement.

Object object-detection +3

Deep Networks for Saliency Detection via Local Estimation and Global Search

no code implementations CVPR 2015 Lijun Wang, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang

In the global search stage, the local saliency map together with global contrast and geometric information are used as global features to describe a set of object candidate regions.

Object Saliency Detection

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