| SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks L Yang, RY Zhang, L Li, X Xie ICML 2021, code: https://github.com/ZjjConan/SimAM, 2021 | 867 | 2021 |
| Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection H Zhou, X Xie, JH Lai, Z Chen, L Yang CVPR 2020, code: https://github.com/moothes/ITSD-pytorch, 2020 | 373 | 2020 |
| Self-Supervised Image-Specific Prototype Exploration for Weakly Supervised Semantic Segmentation Q Chen, L Yang, JH Lai, X Xie CVPR 2022, code: https://github.com/chenqi1126/SIPE, 2022 | 129 | 2022 |
| Contour-Aware Loss: Boundary-Aware Learning for Salient Object Segmentation Z Chen, H Zhou, J Lai, L Yang, X Xie IEEE T-IP 2020, 2020 | 97 | 2020 |
| Exploring Dual-Task Correlation for Pose Guided Person Image Generation P Zhang, L Yang, JH Lai, X Xie CVPR 2022, code: https://github.com/PangzeCheung/Dual-task-Pose-Transformer …, 2022 | 71 | 2022 |
| Dynamic Anchor Feature Selection for Single-Shot Object Detection S Li, L Yang, J Huang, XS Hua, L Zhang ICCV 2019, 2019 | 70 | 2019 |
| Deep Location-Specific Tracking L Yang, R Liu, D Zhang, L Zhang ACM MM 2017, code: https://github.com/ZjjConan/DLST, 2017 | 33 | 2017 |
| Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection H Zhou, B Qiao, L Yang, J Lai, X Xie CVPR 2023, code: https://github.com/moothes/A2S-v2, 2023 | 29 | 2023 |
| AcroFOD: An adaptive method for cross-domain few-shot object detection Y Gao, L Yang, Y Huang, S Xie, S Li, WS Zheng ECCV 2022, code: https://github.com/Hlings/AcroFOD, 2022 | 26 | 2022 |
| CuNeRF: Cube-based neural radiance field for zero-shot medical image arbitrary-scale super resolution Z Chen, L Yang, JH Lai, X Xie ICCV 2023, code: https://github.com/NarcissusEx/CuNeRF, 2023 | 20 | 2023 |
| Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection J Li, D Fan, L Yang, S Gu, G Lu, Y Xu, D Zhang IEEE T-IP 2021, 2021 | 20 | 2021 |
| Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection H Zhou, P Chen, L Yang, J Lai, X Xie IEEE T-CSVT 2022, code: https://github.com/moothes/A2S-USOD, 2022 | 14* | 2022 |
| Lightweight texture correlation network for pose guided person image generation P Zhang, L Yang, X Xie, J Lai IEEE T-CSVT 2021, code: https://github.com/PangzeCheung/Texture-Correlation …, 2021 | 14 | 2021 |
| Learning Discriminative Visual Elements using Part-based Convolutional Neural Network L Yang, X Xie, J Lai Neurocomputing 2018, 2018 | 10 | 2018 |
| Relaxation LIF: A Gradient-based Spiking Neuron for Direct Training Deep Spiking Neural Networks J Tang, JH Lai, WS Zheng, L Yang, X Xie Neurocomputing 2022, code: https://github.com/TJXTT/RLIF, 2022 | 9 | 2022 |
| AC2AS: Activation Consistency Coupled ANN-SNN framework for fast and memory-efficient SNN training J Tang, JH Lai, X Xie, L Yang, WS Zheng Pattern Recognition 2023, code: https://github.com/TJXTT/AC2ASNN, 2023 | 8* | 2023 |
| Part-based Convolutional Neural Network for Visual Recognition L Yang, X Xie, P Li, D Zhang, L Zhang IEEE ICIP 2017, 2017 | 8 | 2017 |
| Towards Intrinsic Adversarial Robustness Through Probabilistic Training J Dong, L Yang, Y Wang, X Xie, J Lai IEEE T-IP 2023, 2023 | 7 | 2023 |
| Learning Object-Specific DAGs for Multi-label Material Recognition X Xie, L Yang, WS Zheng Computer Vision and Image Understanding 2016, 2016 | 7 | 2016 |
| Benchmarking deep models on salient object detection H Zhou, Y Lin, L Yang, J Lai, X Xie Pattern Recognition 2024, code: https://github.com/moothes/SALOD, 2024 | 6 | 2024 |
Xiaohua Xie (谢晓华)Professor @ Sun Yat-Sen University (中山大学)在 mail.sysu.edu.cn 的电子邮件经过验证
