Jakob Verbeek
36 papers · 2013–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (12)
π
Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π
Triple Crown
π
Grand Slam
π±
Topic Pioneer
π§¬
Topic Evolution
π₯
Unstoppable
(10)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(128)
π
Century Club
(36)
π
Trend Setter
Conferences
CVPR (8)
ICCV (6)
ICML (6)
ICLR (4)
ECCV (3)
NIPS (3)
AAAI (1)
ACL (1)
COLING (1)
CONLL (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Keywords
generative adversarial network
(5)
knowledge distillation
(4)
image classification
(3)
semantic segmentation
(3)
variational autoencoder
(3)
fisher vector
(3)
semantic image synthesis
(2)
image generation
(2)
machine translation
(2)
convolutional neural network
(2)
few-shot learning
(2)
diffusion model
(2)
feature encoding
(2)
object detection
(2)
model compression
(2)
video classification
(2)
generative model
(2)
ensemble learning
(1)
transfer learning
(1)
variational inference
(1)
Papers
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
ICLR 2025
Boosting Latent Diffusion with Perceptual Objectives
ICLR 2025
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
ICML 2025
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
NIPS 2024
Residual Quantization with Implicit Neural Codebooks
ICML 2024
Guided Distillation for Semi-Supervised Instance Segmentation
WACV 2024
Towards image compression with perfect realism at ultra-low bitrates
ICLR 2024
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
CVPR 2024
Few-Shot Semantic Image Synthesis With Class Affinity Transfer
CVPR 2023
DiffEdit: Diffusion-based semantic image editing with mask guidance
ICLR 2023
Co-Training 2L Submodels for Visual Recognition
CVPR 2023
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
ICML 2023
Zero-Shot Spatial Layout Conditioning for Text-to-Image Diffusion Models
ICCV 2023
FlexIT: Towards Flexible Semantic Image Translation
CVPR 2022
Three Things Everyone Should Know about Vision Transformers
ECCV 2022
Anytime Inference with Distilled Hierarchical Neural Ensembles
AAAI 2021
Meta-Learning with Shared Amortized Variational Inference
ICML 2020
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English
COLING 2020
Efficient Wait-k Models for Simultaneous Machine Translation
INTERSPEECH 2020
Hierarchical Scene Coordinate Classification and Regression for Visual Localization
CVPR 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation
ECCV 2020
Understanding Priors in Bayesian Neural Networks at the Unit Level
ICML 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models
ICCV 2019
Adaptive Density Estimation for Generative Models
NIPS 2019
Token-level and sequence-level loss smoothing for RNN language models
ACL 2018
Mixed batches and symmetric discriminators for GAN training
ICML 2018
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
CONLL 2018
Predicting Future Instance Segmentation by Forecasting Convolutional Features
ECCV 2018
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
CVPR 2018
Areas of Attention for Image Captioning
ICCV 2017
Predicting Deeper Into the Future of Semantic Segmentation
ICCV 2017
Convolutional Neural Fabrics
NIPS 2016
Efficient Action Localization with Approximately Normalized Fisher Vectors
CVPR 2014
Multi-fold MIL Training for Weakly Supervised Object Localization
CVPR 2014
Action and Event Recognition with Fisher Vectors on a Compact Feature Set
ICCV 2013
Segmentation Driven Object Detection with Fisher Vectors
ICCV 2013