Kemal Oksuz
9 papers · 2018–2024 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Conference Pioneer
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The Questioner
Top co-authors
Research topics
Machine Learning
(6)
Computer Vision
(5)
Analysis
(5)
Deep Learning
(4)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Natural Language Processing
(1)
Domain-Specific
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
object detection
(5)
loss function
(3)
direct preference optimization
(1)
preference alignment
(1)
preference optimization
(1)
autonomous driving
(1)
instance segmentation
(1)
neural network optimization
(1)
learning to rank
(1)
correlation coefficient
(1)
classification loss
(1)
region of interest
(1)
region proposal
(1)
out-of-distribution detection
(1)
mechanistic interpretability
(1)
safety fine-tuning
(1)
domain shift
(1)
bounding box
(1)
adversarial input
(1)
mlp weight transformation
(1)
Papers
Bucketed Ranking-based Losses for Efficient Training of Object Detectors
ECCV 2024
"On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines"
ECCV 2024
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
NeurIPS 2024
Correlation Loss: Enforcing Correlation between Classification and Localization
AAAI 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
CVPR 2023
Rank & Sort Loss for Object Detection and Instance Segmentation
ICCV 2021
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
NeurIPS 2020
Generating Positive Bounding Boxes for Balanced Training of Object Detectors
WACV 2020
Localization Recall Precision (LRP): A New Performance Metric for Object Detection
ECCV 2018