Matej Kristan
17 papers · 2017–2026 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (29) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🏆 Keyword Champion (4)
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Research topics
Computer Vision
(14)
Analysis
(14)
Machine Learning
(7)
Deep Learning
(6)
Learning Types · Machine Learning
(5)
Learning Types · Deep Learning
(5)
Application Areas
(3)
Processing
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Domain-Specific
(2)
Computer Science
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Keywords
object counting
(4)
object tracking
(3)
instance segmentation
(2)
zero-shot counting
(2)
obstacle detection
(2)
panoptic segmentation
(2)
video object segmentation
(2)
semantic segmentation
(2)
object detection
(2)
image segmentation
(2)
discriminative correlation filter
(2)
visual object tracking
(2)
few-shot learning
(2)
dataset benchmark
(2)
rgb-d tracking
(2)
3d vision
(1)
depth estimation
(1)
weakly supervised learning
(1)
adversarial learning
(1)
zero-shot learning
(1)
Papers
Generalized-Scale Object Counting with Gradual Query Aggregation
AAAI 2026
Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation
CVPR 2026
A Distractor-Aware Memory for Visual Object Tracking with SAM2
CVPR 2025
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
NeurIPS 2024
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
WACV 2024
DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting
CVPR 2024
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
ICCV 2023
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
ICCV 2023
DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection
ECCV 2022
Learning Maritime Obstacle Detection From Weak Annotations by Scaffolding
WACV 2022
DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection
ICCV 2021
D3S - A Discriminative Single Shot Segmentation Tracker
CVPR 2020
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
ICCV 2019
Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters
CVPR 2019
Spatially-Adaptive Filter Units for Deep Neural Networks
CVPR 2018
Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking
ICCV 2017
Discriminative Correlation Filter With Channel and Spatial Reliability
CVPR 2017