Ouyang, Wanli

Deep Learning for Generic Object Detection: A Survey

Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2018) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,965

Deep Learning for Generic Object Detection: A Survey

Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2020) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,965

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

T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos

Kang, K., Li, H., Yan, J., Zeng, X., Yang, B., Xiao, T., Zhang, C., Wang, Z., Wang, R., Wang, X., et al. (2018) · IEEE Transactions on Circuits and Systems for Video Technology

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 554

Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism

Chu, Q., Ouyang, W., Li, H., Wang, X., Liu, B., & Yu, N. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 406

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead

Chen, K., Han, T., Gong, J., Bai, L., Ling, F., Luo, J.-J., Chen, X., Ma, L., Zhang, T., Su, R., et al. (2023) · arXiv

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 396

GradNet: Gradient-Guided Network for Visual Object Tracking

Li, P., Chen, B., Ouyang, W., Wang, D., Yang, X., & Lu, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 348

A discriminative deep model for pedestrian detection with occlusion handling

Ouyang, W., & Wang, X. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 281

Multimodal Gesture Recognition Based on the ResC3D Network

Miao, Q., Li, Y., Ouyang, W., Ma, Z., Xu, X., Shi, W., & Cao, X. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

Hand Gesture Recognition SystemsHuman Pose and Action Recognition

Cited by 168

3D Object Detection from Images for Autonomous Driving: A Survey

Ma, X., Ouyang, W., Simonelli, A., & Ricci, E. (2022) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 147

Single-Pedestrian Detection Aided by Multi-pedestrian Detection

Ouyang, W., & Wang, X. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 144

Crafting GBD-Net for Object Detection

Zeng, X., Ouyang, W., Yan, J., Li, H., Xiao, T., Wang, K., Liu, Y., Zhou, Y., Yang, B., Wang, Z., et al. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 142

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

Bai, G., Liu, J., Bu, X., He, Y., Liu, J., Zhou, Z., Lin, Z., Su, W., Ge, T., Zheng, B., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsTopic Modeling

Cited by 79

Taming Stable Diffusion for Text to 360° Panorama Image Generation

Zhang, C., Wu, Q., Gambardella, C. C., Huang, X., Phung, D., Ouyang, W., & Cai, J. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 38

Progressive modality cooperation for multi-modality domain adaptation

Zhang, W., Xu, D., Zhang, J., & Ouyang, W. (2021) · IEEE Transactions on Image Processing

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 25

Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving

Ma, X., Wang, Z., Li, H., Zhang, P., Fan, X., & Ouyang, W. (2019) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 12

From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery

Wei, J., Yang, Y., Zhang, X., Chen, Y., Zhuang, X., Gao, Z., Zhou, D., Wang, G., Gao, Z., Cao, J., et al. (2025) · arXiv

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 7

Deep generative model for protein subcellular localization prediction

Yuan, G.-H., Li, J., Yang, Z., Chen, Y.-Q., Yuan, Z., Chen, T., Ouyang, W., Dong, N., & Yang, L. (2024) · Briefings in Bioinformatics

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 7

WorldSimBench: Towards Video Generation Models as World Simulators

Qin, Y., Shi, Z., Yu, J., Wang, X., Zhou, E., Li, L., Yin, Z., Liu, X., Sheng, L., Shao, J., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 3

OASIS: Open Agent Social Interaction Simulations with One Million Agents

Yang, Z., Zhang, Z., Zheng, Z., Jiang, Y., Gan, Z., Wang, Z., Ling, Z., Chen, J., Ma, M., Dong, B., et al. (2024) · arXiv

Opinion Dynamics and Social InfluenceMulti-Agent Systems and Negotiation

Cited by 3

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition

Liu, Y., Yang, Z., Xie, T., Ni, J., Gao, B., Li, Y., Tang, S., Ouyang, W., Cambria, E., & Zhou, D. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 2

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Liu, R., Gao, J., Zhao, J., Zhang, K., Li, X., Qi, B., Ouyang, W., & Zhou, B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Cui, G., Zhang, Y., Chen, J., Yuan, L., Wang, Z., Zuo, Y., Li, H., Fan, Y., Chen, H., Chen, W., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 1