Jakob Verbeek

Flowception: Temporally Expansive Flow Matching for Video Generation CVPR 2026 TV2TV: A Unified Framework for Interleaved Language and Video Generation CVPR 2026 Boosting Latent Diffusion with Perceptual Objectives ICLR 2025 Improving the Scaling Laws of Synthetic Data with Deliberate Practice ICML 2025 Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks ICLR 2025 Guided Distillation for Semi-Supervised Instance Segmentation WACV 2024 On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models NeurIPS 2024 Residual Quantization with Implicit Neural Codebooks ICML 2024 Towards image compression with perfect realism at ultra-low bitrates ICLR 2024 Unlocking Pre-trained Image Backbones for Semantic Image Synthesis CVPR 2024 Co-Training 2L Submodels for Visual Recognition CVPR 2023 DiffEdit: Diffusion-based semantic image editing with mask guidance ICLR 2023 Few-Shot Semantic Image Synthesis With Class Affinity Transfer 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 Discrete Point Flow Networks for Efficient Point Cloud Generation ECCV 2020 Efficient Wait-k Models for Simultaneous Machine Translation Interspeech 2020 Hierarchical Scene Coordinate Classification and Regression for Visual Localization CVPR 2020 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 Adaptative Inference Cost With Convolutional Neural Mixture Models ICCV 2019 Adaptive Density Estimation for Generative Models NeurIPS 2019 Understanding Priors in Bayesian Neural Networks at the Unit Level ICML 2019 FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis CVPR 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 Token-level and sequence-level loss smoothing for RNN language models ACL 2018 Areas of Attention for Image Captioning ICCV 2017 Predicting Deeper Into the Future of Semantic Segmentation ICCV 2017 Convolutional Neural Fabrics NeurIPS 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