RGB-T Multi-Modal Crowd Counting Based on Transformer. - Zhengyi Liu; Wei Wu; Yacheng Tan; Guanghui Zhang (BMVC, 2022)

Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer. - Zhengyi Liu; Zhili Zhang; Yacheng Tan; Wei Wu (ICPR, 2022)

A Simple and Effective Method for RGB-T Salient Object Detection. - Zhengyi Liu; Bin Zhu; Yacheng Tan; Haitao Chu (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

BGRDNet: RGB-D salient object detection with a bidirectional gated recurrent decoding network. - Zhengyi Liu; Yuan Wang; Zhili Zhang; Yacheng Tan (Multim. Tools Appl., 2022)

AGRFNet: Two-stage cross-modal and multi-level attention gated recurrent fusion network for RGB-D saliency detection. - Zhengyi Liu; Yuan Wang; Yacheng Tan; Wei Li; Yun Xiao 003 (Signal Process. Image Commun., 2022)

SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection. - Zhengyi Liu; Yacheng Tan; Qian He; Yun Xiao 003 (IEEE Trans. Circuits Syst. Video Technol., 2022)

HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection. - Bin Tang 003; Zhengyi Liu; Yacheng Tan; Qian He (IEEE Trans. Circuits Syst. Video Technol., 2023)

Dilated high-resolution network driven RGB-T multi-modal crowd counting. - Zhengyi Liu; Yacheng Tan; Wei Wu; Bin Tang 003 (Signal Process. Image Commun., 2023)