Marc Proesmans
7 papers · 2015–2024 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (16)
🧭
Keyword Pioneer
📈
Trend Setter
Top co-authors
Research topics
Computer Vision
(4)
Machine Learning
(4)
Analysis
(4)
Learning Types · Machine Learning
(2)
Processing
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
object detection
(2)
probabilistic modeling
(1)
optimal transport
(1)
self-supervised learning
(1)
autonomous driving
(1)
test-time adaptation
(1)
monocular depth estimation
(1)
instance segmentation
(1)
continuous adaptation
(1)
video tracking
(1)
gaussian process
(1)
multi-object tracking
(1)
latent variable model
(1)
clustering loss
(1)
bounding box regression
(1)
hungarian algorithm
(1)
spatial embedding
(1)
depth prediction
(1)
real-time segmentation
(1)
proposal-free detection
(1)
Papers
Contrastive Learning for Multi-Object Tracking With Transformers
WACV 2024
Unbalanced Optimal Transport: A Unified Framework for Object Detection
CVPR 2023
CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences
WACV 2021
Modeling the Effects of Windshield Refraction for Camera Calibration
ECCV 2020
SCAN: Learning to Classify Images without Labels
ECCV 2020
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
CVPR 2019
A Gaussian Process Latent Variable Model for BRDF Inference
ICCV 2015