Emre Akbas
16 papers · 2018–2026 · 7 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 ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(53)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Computer Vision
(8)
Machine Learning
(7)
Deep Learning
(6)
Analysis
(6)
Learning Types Β· Deep Learning
(5)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Core AI
(3)
Core Methods
(3)
Learning Types Β· Machine Learning
(2)
Processing
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Applications
(1)
Clinical
(1)
Keywords
object detection
(4)
loss function
(3)
non-maximum suppression
(2)
edge detection
(2)
vision-language model
(2)
concept bottleneck model
(2)
knowledge distillation
(1)
medical imaging
(1)
anomaly detection
(1)
class imbalance
(1)
neural network optimization
(1)
learning to rank
(1)
correlation coefficient
(1)
classification loss
(1)
self-supervised learning
(1)
region proposal
(1)
low-resource language
(1)
instance segmentation
(1)
3d human pose estimation
(1)
region of interest
(1)
Papers
Explaining CLIP Zero-shot Predictions Through Concepts
CVPR 2026
MatchED: Crisp Edge Detection Using End-to-End, Matching-based Supervision
CVPR 2026
Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection
WACV 2026
Rethinking Concept Bottleneck Models: From Pitfalls to Solutions
CVPR 2026
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts
ACL 2024
Bucketed Ranking-based Losses for Efficient Training of Object Detectors
ECCV 2024
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
CVPR 2024
Correlation Loss: Enforcing Correlation between Classification and Localization
AAAI 2023
Streaming Multiscale Deep Equilibrium Models
ECCV 2022
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
HoughNet: Integrating near and long-range evidence for bottom-up object detection
ECCV 2020
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry
CVPR 2019
Localization Recall Precision (LRP): A New Performance Metric for Object Detection
ECCV 2018
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
ECCV 2018