Search Results for author: Zhengyi Liu

Found 7 papers, 6 papers with code

Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning

no code implementations6 Aug 2023 Linbo Wang, Jing Wu, Xianyong Fang, Zhengyi Liu, Chenjie Cao, Yanwei Fu

First, we propose a Local Feature Consensus (LFC) plugin block to augment the features of existing models.

Scribble-Supervised RGB-T Salient Object Detection

1 code implementation17 Mar 2023 Zhengyi Liu, Xiaoshen Huang, Guanghui Zhang, Xianyong Fang, Linbo Wang, Bin Tang

To further polish the expanded labels, we propose a prediction module to alleviate the sharpness of boundary.

Object object-detection +3

HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection

1 code implementation8 Jan 2023 Bin Tang, Zhengyi Liu, Yacheng Tan, Qian He

To solve the second problem, a dual-direction short connection fusion module is used to optimize the output features of HRFormer, thereby enhancing the detailed representation of objects at the output level.

Object object-detection +3

RGB-T Multi-Modal Crowd Counting Based on Transformer

1 code implementation8 Jan 2023 Zhengyi Liu, Wei Wu, Yacheng Tan, Guanghui Zhang

To better excavate multi-modal information, we use count-guided multi-modal fusion and modal-guided count enhancement to achieve the impressive performance.

Crowd Counting

Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer

1 code implementation21 May 2022 Zhengyi Liu, Zhili Zhang, Wei Wu

The foreground is just object, while foreground minus background is considered as boundary.

Boundary Detection Object +2

SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection

1 code implementation12 Apr 2022 Zhengyi Liu, Yacheng Tan, Qian He, Yun Xiao

It is driven by Swin Transformer to extract the hierarchical features, boosted by attention mechanism to bridge the gap between two modalities, and guided by edge information to sharp the contour of salient object.

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

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