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James Philbin

5 papers · 2014–2021 · 2 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

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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
πŸ“ˆ Trend Setter

Venues

CVPR (4) WACV (1)

Top co-authors

Ying Wu (1) Jingbin Wang (1) Thomas Leung (1) Noah Snavely (1) Praveen Srinivasan (1) Kratarth Goel (1) Chuck Rosenberg (1) Sarah Tariq (1) Dmitry Kalenichenko (1) Jiang Wang (1)

Research topics

Computer Vision (5) Deep Learning (4) Analysis (4) Machine Learning (3) Learning Types Β· Deep Learning (3) Architectures (2) Core Methods (2) Domain-Specific (2) Artificial Intelligence (1) Core AI (1) Generation (1) Learning Types Β· Machine Learning (1)

Keywords

convolutional neural network (4) triplet loss (2) metric learning (2) depth estimation (2) autonomous driving (1) face recognition (1) trajectory prediction (1) image reconstruction (1) instance segmentation (1) deep learning (1) real-time processing (1) image similarity (1) face verification (1) novel view synthesis (1) image interpolation (1) scene context (1) fine-grained similarity (1) driving behavior (1) triplet ranking (1) semantic interaction (1)

Papers

QuadroNet: Multi-Task Learning for Real-Time Semantic Depth Aware Instance Segmentation WACV 2021 Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions CVPR 2019 DeepStereo: Learning to Predict New Views From the World's Imagery CVPR 2016 FaceNet: A Unified Embedding for Face Recognition and Clustering CVPR 2015 Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014