Search Results for author: Zhengzheng Tu

Found 13 papers, 7 papers with code

Multi-Adapter RGBT Tracking

no code implementations17 Jul 2019 Chenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, Jin Tang

In a specific, the generality adapter is to extract shared object representations, the modality adapter aims at encoding modality-specific information to deploy their complementary advantages, and the instance adapter is to model the appearance properties and temporal variations of a certain object.

Visual Tracking

Edge-guided Non-local Fully Convolutional Network for Salient Object Detection

no code implementations7 Aug 2019 Zhengzheng Tu, Yan Ma, Chenglong Li, Jin Tang, Bin Luo

To maintain the clear edge structure of salient objects, we propose a novel Edge-guided Non-local FCN (ENFNet) to perform edge guided feature learning for accurate salient object detection.

object-detection RGB Salient Object Detection +1

M$^5$L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking

no code implementations17 Mar 2020 Zhengzheng Tu, Chun Lin, Chenglong Li, Jin Tang, Bin Luo

Classifying the confusing samples in the course of RGBT tracking is a quite challenging problem, which hasn't got satisfied solution.

Metric Learning

Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection

2 code implementations5 May 2020 Zhengzheng Tu, Zhun Li, Chenglong Li, Yang Lang, Jin Tang

Then, we design a novel dual-decoder to conduct the interactions of multi-level features, two modalities and global contexts.

object-detection RGB Salient Object Detection +1

Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection

2 code implementations5 Jun 2020 Zhengzheng Tu, Zhun Li, Chenglong Li, Yang Lang, Jin Tang

RGBT salient object detection (SOD) aims to segment the common prominent regions of visible and thermal infrared images.

object-detection Object Detection +1

TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network

1 code implementation9 Aug 2021 Zhengyi Liu, YuAn Wang, Zhengzheng Tu, Yun Xiao, Bin Tang

In view of the more contribution of high-level features for the performance, we propose a triplet transformer embedding module to enhance them by learning long-range dependencies across layers.

Object object-detection +2

Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark

no code implementations3 Aug 2023 Zhengzheng Tu, Qishun Wang, Hongshun Wang, Kunpeng Wang, Chenglong Li

Recently, many breakthroughs are made in the field of Video Object Detection (VOD), but the performance is still limited due to the imaging limitations of RGB sensors in adverse illumination conditions.

object-detection Video Object Detection

Unified-modal Salient Object Detection via Adaptive Prompt Learning

no code implementations28 Nov 2023 Kunpeng Wang, Chenglong Li, Zhengzheng Tu, Bin Luo

Existing single-modal and multi-modal salient object detection (SOD) methods focus on designing specific architectures tailored for their respective tasks.

object-detection Object Detection +1

TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation

1 code implementation15 Dec 2023 Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu

In addition, most of current Transformer-based ReID methods only utilize the global feature of class tokens to achieve the holistic retrieval, ignoring the local discriminative ones.

Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification

1 code implementation15 Mar 2024 Pingping Zhang, Yuhao Wang, Yang Liu, Zhengzheng Tu, Huchuan Lu

To address above issues, we propose a novel learning framework named \textbf{EDITOR} to select diverse tokens from vision Transformers for multi-modal object ReID.

Object

A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos

no code implementations18 Mar 2024 Zhengzheng Tu, Zigang Zhu, Yayang Duan, Bo Jiang, Qishun Wang, Chaoxue Zhang

The main challenge for ultrasound video-based breast lesion segmentation is how to exploit the lesion cues of both intra-frame and inter-frame simultaneously.

Lesion Detection Lesion Segmentation +1

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