Luo, Ping
University of Hong Kong
15 papers on CoChatORCID 0000-0002-6685-7950
Most cited papers
- Verified
Deep Learning Face Attributes in the Wild
Liu, Z., Luo, P., Wang, X., & Tang, X. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)
Face recognition and analysisFace and Expression Recognition
Cited by 7,747
- Verified
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wang, W., Xie, E., Li, X., Fan, D.-P., Song, K., Liang, D., Lu, T., Luo, P., & Shao, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 5,259
- Verified
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Xie, E., Wang, W., Yu, Z., Anandkumar, A., Alvarez, J. M., & Luo, P. (2021) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 5,090
- Verified
Pvt v2: Improved baselines with pyramid vision transformer
Wang, W., Xie, E., Li, X., Fan, D.-P., Song, K., Liang, D., Lu, T., Luo, P., & Shao, L. (2022) · Computational Visual Media
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 2,439
- Verified
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Sun, P., Zhang, R., Jiang, Y., Kong, T., Xu, C., Zhan, W., Tomizuka, M., Li, L., Yuan, Z., Wang, C., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 1,617
- Verified
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
Lee, C.-H., Liu, Z., Wu, L., & Luo, P. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisFace recognition and analysis
Cited by 1,130
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Semantic Image Segmentation via Deep Parsing Network
Liu, Z., Li, X., Luo, P., Loy, C.-C., & Tang, X. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsMedical Image Segmentation Techniques
Cited by 675
- Verified
DiffusionDet: Diffusion Model for Object Detection
Chen, S., Sun, P., Song, Y., & Luo, P. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 657
- Verified
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
Zhou, H., Liu, Y., Liu, Z., Luo, P., & Wang, X. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing
Cited by 416
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LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models
Xu, P., Shao, W., Zhang, K., Gao, P., Liu, S., Lei, M., Meng, F., Huang, S., Qiao, Y., & Luo, P. (2023) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 273
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V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
Yu, H., Yang, W., Ruan, H., Yang, Z., Tang, Y., Gao, X., Hao, X., Shi, Y., Pan, Y., Sun, N., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Autonomous Vehicle Technology and SafetyTraffic Prediction and Management Techniques
Cited by 182
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PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Chen, J., Ge, C., Xie, E., Wu, Y., Yao, L., Ren, X., Wang, Z., Luo, P., Lu, H., & Li, Z. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 113
- Verified
Segmenting Transparent Objects in the Wild with Transformer
Xie, E., Wang, W., Wang, W., Sun, P., Xu, H., Liang, D., & Luo, P. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 111
- Verified
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Zhang, Z., Li, J., Shao, W., Peng, Z., Zhang, R., Wang, X., & Luo, P. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 38
- Verified
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
Zhan, X., Liu, Z., Luo, P., Tang, X., & Loy, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 34
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