Qiao, Yu

A Discriminative Feature Learning Approach for Deep Face Recognition

Wen, Y., Zhang, K., Li, Z., & Qiao, Y. (2016) · Lecture Notes in Computer Science

Face recognition and analysisFace and Expression Recognition

Cited by 4,077

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

Action recognition with trajectory-pooled deep-convolutional descriptors

Wang, L., Qiao, Y., & Tang, X. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 1,194

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

Wang, W., Dai, J., Chen, Z., Huang, Z., Li, Z., Zhu, X., Hu, X., Lu, T., Lu, L., Li, H., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,080

Suppressing Uncertainties for Large-Scale Facial Expression Recognition

Wang, K., Peng, X., Yang, J., Lu, S., & Qiao, Y. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 772

FOTS: Fast Oriented Text Spotting with a Unified Network

Liu, X., Liang, D., Yan, S., Chen, D., Qiao, Y., & Yan, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 554

VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Wang, L., Huang, B., Zhao, Z., Tong, Z., He, Y., Wang, Y., Wang, Y., & Qiao, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 536

Dynamic Multi-Scale Filters for Semantic Segmentation

He, J., Deng, Z., & Qiao, Y. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 320

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Li, K., Wang, Y., He, Y., Li, Y., Wang, Y., Liu, Y., Wang, Z., Xu, J., Chen, G., Lou, P., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 300

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

Frozen CLIP Models are Efficient Video Learners

Lin, Z., Geng, S., Zhang, R., Gao, P., de Melo, G., Wang, X., Dai, J., Qiao, Y., & Li, H. (2022) · Lecture Notes in Computer Science

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 213

Unmasked Teacher: Towards Training-Efficient Video Foundation Models

Li, K., Wang, Y., Li, Y., Wang, Y., He, Y., Wang, L., & Qiao, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 143

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Yu, F., Gu, J., Li, Z., Hu, J., Kong, X., Wang, X., He, J., Qiao, Y., & Dong, C. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 143

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Guo, Y., Yang, C., Rao, A., Liang, Z., Wang, Y., Qiao, Y., Agrawala, M., Lin, D., & Dai, B. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 119

SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Wang, H., Guo, S., Ye, J., Deng, Z., Cheng, J., Li, T., Chen, J., Su, Y., Huang, Z., Shen, Y., et al. (2023) · arXiv

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 115

Deep Recurrent Multi-instance Learning with Spatio-temporal Features for Engagement Intensity Prediction

Yang, J., Wang, K., Peng, X., & Qiao, Y. (2018) · Proceedings of the 20th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionOnline Learning and Analytics

Cited by 79

Group emotion recognition with individual facial emotion CNNs and global image based CNNs

Tan, L., Zhang, K., Wang, K., Zeng, X., Peng, X., & Qiao, Y. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 73

Unsupervised person re-identification with multi-label learning guided self-paced clustering

Li, Q., Peng, X., Qiao, Y., & Hao, Q. (2022) · Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 35

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Zhu, X., Chen, Y., Tian, H., Tao, C., Su, W., Yang, C., Huang, G., Li, B., Lu, L., Wang, X., et al. (2023) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 33

SAM-Med2D

Cheng, J., Ye, J., Deng, Z., Chen, J., Li, T., Wang, H., Su, Y., Huang, Z., Chen, J., Jiang, L., et al. (2023) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 26

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models

Qian, C., Zhang, J., Yao, W., Liu, D., Yin, Z., Qiao, Y., Liu, Y., & Shao, J. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 12

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Hu, M., Mu, Y., Yu, X., Ding, M., Wu, S., Shao, W., Chen, Q., Wang, B., Qiao, Y., & Luo, P. (2023) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 9

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

Mu, Y., Chen, J., Zhang, Q., Chen, S., Yu, Q., Ge, C., Chen, R., Liang, Z., Hu, M., Tao, C., et al. (2024) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 3