Lin, Liang

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

SNAS: Stochastic Neural Architecture Search

Xie, S., Zheng, H., Liu, C., & Lin, L. (2018) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 731

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

Single View Stereo Matching

Luo, Y., Ren, J., Lin, M., Pang, J., Sun, W., Li, H., & Lin, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 205

Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection

Wang, K., Yan, X., Zhang, D., Zhang, L., & Lin, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 127

A Deep Structured Model with Radius–Margin Bound for 3D Human Activity Recognition

Lin, L., Wang, K., Zuo, W., Wang, M., Luo, J., & Zhang, L. (2016) · International Journal of Computer Vision

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 104

Solving Inefficiency of Self-supervised Representation Learning

Wang, G., Wang, K., Wang, G., Torr, P. H. S., & Lin, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 65

Understanding Self-attention Mechanism via Dynamical System Perspective

Huang, Z., Liang, M., Qin, J., Zhong, S., & Lin, L. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 44

Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria

Wang, K., Lin, L., Yan, X., Chen, Z., Zhang, D., & Zhang, L. (2019) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 38

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs

Tang, Z., Wang, R., Chen, W., Zheng, Y., Chen, Z., Liu, Y., Wang, K., Chen, T., & Lin, L. (2023) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 4

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