Matthias Minderer
16 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (6) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (37)
πΊοΈ
Taxonomy Completionist
(37)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π₯
Mega-Team
(43)
π
Century Club
(16)
ποΈ
Keyword Collector
(62)
β‘
Prolific Year
(5)
π₯
Unstoppable
(7)
π
Trend Setter
Conferences
CVPR (4)
ICML (4)
NIPS (4)
ECCV (2)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
model scaling
(3)
vision transformer
(3)
vision-language model
(2)
transfer learning
(2)
representation learning
(2)
model calibration
(1)
computer vision
(1)
image segmentation
(1)
domain generalization
(1)
risk management
(1)
zero-shot learning
(1)
action recognition
(1)
video prediction
(1)
object detection
(1)
open-vocabulary detection
(1)
few-shot learning
(1)
visual question answering
(1)
model robustness
(1)
self-supervised learning
(1)
contrastive learning
(1)
Papers
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
ICML 2025
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
ECCV 2024
Improving fine-grained understanding in image-text pre-training
ICML 2024
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Video OWL-ViT: Temporally-consistent Open-world Localization in Video
ICCV 2023
FlexiViT: One Model for All Patch Sizes
CVPR 2023
Patch nβ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
NIPS 2023
Scaling Open-Vocabulary Object Detection
NIPS 2023
Simple Open-Vocabulary Object Detection with Vision Transformers
ECCV 2022
Scenic: A JAX Library for Computer Vision Research and Beyond
CVPR 2022
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
ICLR 2021
On Robustness and Transferability of Convolutional Neural Networks
CVPR 2021
Revisiting the Calibration of Modern Neural Networks
NIPS 2021
Automatic Shortcut Removal for Self-Supervised Representation Learning
ICML 2020
Unsupervised learning of object structure and dynamics from videos
NIPS 2019