Citation Impact
Citing Papers
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition
2010
3D object proposals for accurate object class detection
2015
Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population
2010
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
2014 Standout
Insights from Classifying Visual Concepts with Multiple Kernel Learning
2012
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
2015 Standout
A Survey on Multi-Task Learning
2021
GAN-based anomaly detection: A review
2022
Reinforcement learning for building controls: The opportunities and challenges
2020 Standout
Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM
2020 Standout
A novel deep output kernel learning method for bearing fault structural diagnosis
2018
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
2020 Standout
Electricity Demand Forecasting by Multi-Task Learning
2016
Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study
2019
Object Detection and Classification by Decision-Level Fusion for Intelligent Vehicle Systems
2017
Pedestrian detection at 100 frames per second
2012
3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection
2017
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
2020 Standout
EnlightenGAN: Deep Light Enhancement Without Paired Supervision
2021 Standout
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
2018 Standout
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data
2017
Activation functions in deep learning: A comprehensive survey and benchmark
2022 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Object Detection With Deep Learning: A Review
2019 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Multiple Kernel Learning for Visual Object Recognition: A Review
2014
A Review on Multi-Label Learning Algorithms
2013 Standout
LIME: Low-Light Image Enhancement via Illumination Map Estimation
2016 Standout
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
State-of-the-art on research and applications of machine learning in the building life cycle
2020
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 Standout
Works of Peter Gehler being referenced
Learning Output Kernels with Block Coordinate Descent
2011
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
2011
Multi-View and 3D Deformable Part Models
2015
Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers
2009
Efficient Facade Segmentation Using Auto-context
2015
Branch&Rank: Non-Linear Object Detection
2011
Towards Total Recall in Industrial Anomaly Detection
2022
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
2011
Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers
2009