Efficient and accurate object detection for 3D point clouds in intelligent visual internet of things. - Hui Li 010; Junyin Wang; Lingwei Xu; Shujun Zhang; Ye Tao 002 (Multim. Tools Appl., 2021)

Object detection method based on global feature augmentation and adaptive regression in IoT. - Hui Li 010; Yan Dong; Lingwei Xu; Shujun Zhang; Junyin Wang (Neural Comput. Appl., 2021)

DLFusion: Painting-Depth Augmenting-LiDAR for Multimodal Fusion 3D Object Detection. - Junyin Wang; Chenghu Du; Hui Li 010; Shengwu Xiong 001 (ACM Multimedia, 2023)

Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On. - Chenghu Du; Junyin Wang; Shuqing Liu; Shengwu Xiong 001 (NeurIPS, 2023)

CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On. - Chenghu Du; Junyin Wang; Yi Rong; Shuqing Liu; Kai Liu; Shengwu Xiong 001 (AAAI, 2024)

IFNET: Integrating Data Augmentation and Decoupled Attention Fusion for 3D Object Detection. - Zhenchang Xia; Guanqun Zheng; Shengwu Xiong 001; Jia Wu 001; Junyin Wang; Chenghu Du (ICASSP, 2024)

Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation. - Chenghu Du; Junyin Wang; Feng Yu 017; Shengwu Xiong 001 (AAAI, 2025)

GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach. - Chenghu Du; Junyin Wang; Yi Rong; Feng Yu 017; Shengwu Xiong 001 (AAAI, 2025)

ROME: Radar Sparsity Improvement and Omnimodal Enhancement for 3D Object Detection in Bird's Eye Views. - Yilong Guo; Junyin Wang; Chenghu Du; Shengwu Xiong 001; Yaxiong Chen (ICASSP, 2025)

AGFF: Attention-Gated Feature Fusion for Multi-Pose Virtual Try-On. - Chenghu Du; Peiliang Zhang; Junyin Wang; Shengwu Xiong 001 (IEEE Trans. Consumer Electron., 2025)

Multimodal feature adaptive fusion for anchor-free 3D object detection. - Yanli Wu; Junyin Wang; Hui Li 010; Xiaoxue Ai; Xiao Li (Appl. Intell., 2025)