Mohammad Saberian

6 papers · 2014–2019 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

JMLR (2) NeurIPS (2) ICCV (1) ICML (1)

Top co-authors

Nuno Vasconcelos (5) Oscar Beijbom (1) Jian Yang (1) David Kriegman (1) Can Xu (1) Zhaowei Cai (1) Nuno Nvasconcelos (1) Jose Costa Pereira (1)

Research topics

Machine Learning (6) Core Methods (5) Optimization & Theory (3) Computer Vision (2) Analysis (2) Learning Types (2) Deep Learning (1) Application Areas (1) Architectures (1)

Keywords

multi-class classification (3) cost-sensitive learning (2) boosting algorithm (2) object detection (2) loss function (2) margin maximization (2) pedestrian detection (1) cascade classifier (1) gradient descent (1) discriminant analysis (1) coordinate descent (1) sequential decision (1) classification accuracy (1) cost-sensitive classification (1) cascade detection (1) support vector machine (1) convolutional neural network (1) guess aversion (1) cascade boosting (1) detector cascade (1)

Papers

Multiclass Boosting: Margins, Codewords, Losses, and Algorithms JMLR 2019 Large Margin Discriminant Dimensionality Reduction in Prediction Space NeurIPS 2016 Learning Complexity-Aware Cascades for Deep Pedestrian Detection ICCV 2015 Boosting Algorithms for Detector Cascade Learning JMLR 2014 Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014 Multi-Resolution Cascades for Multiclass Object Detection NeurIPS 2014