← Authors

Adam Kortylewski

48 papers · 2019–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (73) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (4) πŸ”¬ Deep Specialist (13) 🀝 Dynamic Duo (29) πŸ‘₯ Mega-Team (20) πŸ’Ž Century Club (48) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (171) ⚑ Prolific Year (14) πŸš€ Conference Pioneer

Conferences

CVPR (17) ECCV (8) ICLR (7) ICCV (6) WACV (6) NIPS (3) AAAI (1)

Top co-authors

Alan Yuille (29) Angtian Wang (14) Wufei Ma (11) Christian Theobalt (9) Qihao Liu (7) Xiaoding Yuan (7) Artur Jesslen (6) Alan L. Yuille (6) Prakhar Kaushik (5) Ju He (5)

Keywords

pose estimation (7) contrastive learning (5) 3d reconstruction (5) diffusion model (5) 3d pose estimation (5) generative model (4) 3d vision (4) out-of-distribution robustness (4) object classification (4) transfer learning (3) convolutional neural network (3) object detection (3) synthetic datum (3) semantic segmentation (3) visual question answering (3) occlusion handling (3) domain adaptation (2) neural rendering (2) attention mechanism (2) image classification (2)

Papers

Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space CVPR 2025
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering ICLR 2025
CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts ICCV 2025
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels ICCV 2025
PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing WACV 2025
VidSeg: Training-free Video Semantic Segmentation based on Diffusion Models CVPR 2025
Scaling 3D Compositional Models for Robust Classification and Pose Estimation ICCV 2025
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search ICLR 2024
Generating Images with 3D Annotations Using Diffusion Models ICLR 2024
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation ICLR 2024
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos CVPR 2024
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data CVPR 2024
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding NIPS 2024
A Bayesian Approach to OOD Robustness in Image Classification CVPR 2024
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis WACV 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning ECCV 2024
DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields ECCV 2024
Relightable Neural Actor with Intrinsic Decomposition and Pose Control ECCV 2024
NOVUM: Neural Object Volumes for Robust Object Classification ECCV 2024
Robust Category-Level 3D Pose Estimation From Diffusion-Enhanced Synthetic Data WACV 2024
ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering CVPR 2024
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation ICCV 2023
3D-Aware Visual Question Answering about Parts, Poses and Occlusions NIPS 2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation CVPR 2023
Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation CVPR 2023
Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning CVPR 2023
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape ICCV 2023
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis ICLR 2023
General Neural Gauge Fields ICLR 2023
CoKe: Contrastive Learning for Robust Keypoint Detection WACV 2023
CORL: Compositional Representation Learning for Few-Shot Classification WACV 2023
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering CVPR 2022
Simulated Adversarial Testing of Face Recognition Models CVPR 2022
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features ECCV 2022
Learning Part Segmentation Through Unsupervised Domain Adaptation From Synthetic Vehicles CVPR 2022
"PartImageNet: A Large, High-Quality Dataset of Parts" ECCV 2022
TransFG: A Transformer Architecture for Fine-Grained Recognition AAAI 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images ECCV 2022
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model CVPR 2022
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose NIPS 2021
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation ICLR 2021
Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion CVPR 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation ICCV 2021
Robust Object Detection Under Occlusion With Context-Aware CompositionalNets CVPR 2020
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion CVPR 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning ECCV 2020
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion WACV 2020
Greedy Structure Learning of Hierarchical Compositional Models CVPR 2019