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Adam Kortylewski

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

Achievements

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+12 more ↓ 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (73)
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)

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