Thomas Mensink

17 papers · 2014–2025 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧬 Topic Evolution 👥 Mega-Team · Squad ❓ The Questioner 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (66)

Venues

CVPR (4) ECCV (3) ICCV (3) ICML (2) WACV (2) CoRL (1) ICLR (1) NeurIPS (1)

Top co-authors

Vittorio Ferrari (5) Jasper Uijlings (5) Efstratios Gavves (4) Andrea Agostinelli (3) Cees G. M. Snoek (3) Jonathan Heek (3) Michal Pándy (2) Yunlu Chen (2) Emiel Hoogeboom (2) Theo Gevers (2)

Research topics

Machine Learning (9) Computer Vision (8) Analysis (6) Artificial Intelligence (5) Application Areas (5) Learning Types (5) Deep Learning (3) Learning Paradigms (3) Optimization & Theory (3) Core AI (2) Core Methods (2) Domain-Specific (2) Generation (2) Models (2) Techniques (2)

Keywords

semantic segmentation (4) transfer learning (3) zero-shot learning (2) image classification (2) image generation (2) diffusion model (2) depth estimation (2) semi-supervised learning (1) active learning (1) action recognition (1) feature matching (1) few-shot learning (1) domain adaptation (1) visual question answering (1) model distillation (1) multi-task learning (1) knowledge distillation (1) multimodal learning (1) knowledge transfer (1) vision transformer (1)

Papers

Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion CVPR 2025 Multistep Distillation of Diffusion Models via Moment Matching NeurIPS 2024 Encyclopedic VQA: Visual Questions About Detailed Properties of Fine-Grained Categories ICCV 2023 Scaling Vision Transformers to 22 Billion Parameters ICML 2023 How Stable Are Transferability Metrics Evaluations? ECCV 2022 The Missing Link: Finding Label Relations across Datasets ECCV 2022 Transferability Estimation Using Bhattacharyya Class Separability CVPR 2022 Transferability Metrics for Selecting Source Model Ensembles CVPR 2022 Calibration of Neural Networks using Splines ICLR 2021 EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes WACV 2021 Multi-Loss Weighting With Coefficient of Variations WACV 2021 Neural Feature Matching in Implicit 3D Representations ICML 2021 PointMixup: Augmentation for Point Clouds ECCV 2020 Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection CoRL 2020 Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks ICCV 2015 Objects2action: Classifying and Localizing Actions Without Any Video Example ICCV 2015 COSTA: Co-Occurrence Statistics for Zero-Shot Classification CVPR 2014