Liang, Xiaodan

Perceptual Generative Adversarial Networks for Small Object Detection

Li, J., Liang, X., Wei, Y., Xu, T., Feng, J., & Yan, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 953

Is Faster R-CNN Doing Well for Pedestrian Detection?

Zhang, L., Lin, L., Liang, X., & He, K. (2016) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 852

Voxel Transformer for 3D Object Detection

Mao, J., Xue, Y., Niu, M., Bai, H., Feng, J., Liang, X., Xu, H., & Xu, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 520

Adversarial Geometry-Aware Human Motion Prediction

Gui, L.-Y., Wang, Y.-X., Liang, X., & Moura, J. M. F. (2018) · Lecture Notes in Computer Science

Human Motion and AnimationHuman Pose and Action Recognition

Cited by 276

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

Li, C. Y., Liang, X., Hu, Z., & Xing, E. P. (2018) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 271

Human Parsing with Contextualized Convolutional Neural Network

Liang, X., Xu, C., Shen, X., Yang, J., Liu, S., Tang, J., Lin, L., & Yan, S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsHuman Pose and Action Recognition

Cited by 245

Vision-language navigation with self-supervised auxiliary reasoning tasks

Zhu, F., Zhu, Y., Chang, X., & Liang, X. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 223

Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation

Li, M., Lin, B., Chen, Z., Lin, H., Liang, X., & Chang, X. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 206

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection

Yao, L., Xu, H., Zhang, W., Liang, X., & Li, Z. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 90

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection

Yao, L., Han, J., Wen, Y., Liang, X., Xu, D., Zhang, W., Li, Z., Xu, C., & Xu, H. (2022) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 86

Vision-Language Navigation with Random Environmental Mixup

Liu, C., Zhu, F., Chang, X., Liang, X., Ge, Z., & Shen, Y.-D. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 80

SP-NAS: Serial-to-Parallel Backbone Search for Object Detection

Jiang, C., Xu, H., Zhang, W., Liang, X., & Li, Z. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 67

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation

Li, M., Cai, W., Verspoor, K., Pan, S., Liang, X., & Chang, X. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 60

Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining

Zhan, X., Wu, Y., Dong, X., Wei, Y., Lu, M., Zhang, Y., Xu, H., & Liang, X. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 54

InstruGen: Automatic Instruction Generation for Vision-and-Language Navigation Via Large Multimodal Models

Yan, Y., Xu, R., Zhang, J., Li, P., Liang, X., & Yin, J. (2024) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 2

InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction

Ren, P., Li, M., Luo, Z., Song, X., Chen, Z., Liufu, W., Yang, Y., Zheng, H., Xu, R., Huang, Z., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 2

SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning

Chen, J., Zhang, B., Ma, R., Wang, P., Liang, X., Tu, Z., Li, X., & Wong, K.-Y. K. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0