Liu, Ziwei

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

Dynamic Graph CNN for Learning on Point Clouds

Wang, Y., Sun, Y., Liu, Z., Sarma, S. E., Bronstein, M. M., & Solomon, J. M. (2019) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 7,199

Learning to Prompt for Vision-Language Models

Zhou, K., Yang, J., Loy, C. C., & Liu, Z. (2022) · International Journal of Computer Vision

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 3,304

MMDetection: Open MMLab Detection Toolbox and Benchmark

Chen, K., Wang, J., Pang, J., Cao, Y., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Xu, J., et al. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,227

Hybrid Task Cascade for Instance Segmentation

Chen, K., Pang, J., Wang, J., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Shi, J., Ouyang, W., et al. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,587

Domain Generalization: A Survey

Zhou, K., Liu, Z., Qiao, Y., Xiang, T., & Loy, C. C. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 1,315

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

Generalized Out-of-Distribution Detection: A Survey

Yang, J., Zhou, K., Li, Y., & Liu, Z. (2024) · International Journal of Computer Vision

Adversarial Robustness in Machine LearningAnomaly Detection Techniques and Applications

Cited by 884

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

MMBench: Is Your Multi-modal Model an All-Around Player?

Liu, Y., Duan, H., Zhang, Y., Li, B., Zhang, S., Zhao, W., Yuan, Y., Wang, J., He, C., Liu, Z., et al. (2025) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 668

Incorporating Convolution Designs into Visual Transformers

Yuan, K., Guo, S., Liu, Z., Zhou, A., Yu, F., & Wu, W. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 611

A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT

Zhou, C., Li, Q., Li, C., Yu, J., Liu, Y., Wang, G., Zhang, K., Ji, C., Yan, Q., He, L., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 574

MMBench: Is Your Multi-modal Model an All-around Player?

Liu, Y., Duan, H., Zhang, Y., Li, B., Zhang, S., Zhao, W., Yuan, Y., Wang, J., He, C., Liu, Z., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 487

MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Zhang, M., Cai, Z., Pan, L., Hong, F., Guo, X., Yang, L., & Liu, Z. (2022) · arXiv

Human Motion and Animation3D Shape Modeling and Analysis

Cited by 437

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

VBench: Comprehensive Benchmark Suite for Video Generative Models

Huang, Z., He, Y., Yu, J., Zhang, F., Si, C., Jiang, Y., Zhang, Y., Wu, T., Jin, Q., Chanpaisit, N., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 407

Class-Incremental Learning: A Survey

Zhou, D.-W., Wang, Q.-W., Qi, Z.-H., Ye, H.-J., Zhan, D.-C., & Liu, Z. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 376

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

He, Y., Gan, B., Chen, S., Zhou, Y., Yin, G., Song, L., Sheng, L., Shao, J., & Liu, Z. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 161

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts

Zhang, C., Zhang, M., Zhang, S., Jin, D., Zhou, Q., Cai, Z., Zhao, H., Liu, X., & Liu, Z. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 107

Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement

Nie, Q., Liu, Z., & Liu, Y. (2020) · Lecture Notes in Computer Science

Human Pose and Action Recognition3D Shape Modeling and Analysis

Cited by 80

Detecting and Grounding Multi-Modal Media Manipulation and Beyond

Shao, R., Wu, T., Wu, J., Nie, L., & Liu, Z. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 53

DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection

Shao, R., Wu, T., Nie, L., & Liu, Z. (2025) · International Journal of Computer Vision

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 48

LLaVA-OneVision: Easy Visual Task Transfer

Li, B., Zhang, Y., Guo, D., Zhang, R., Li, F., Zhang, H., Zhang, K., Zhang, P., Li, Y., Liu, Z., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 44

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