Piotr Koniusz

Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026 Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting CVPR 2026 Hierarchically Robust Zero-shot Vision-language Models CVPR 2026 Learning Time in Static Classifiers AAAI 2026 BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning CVPR 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices ICML 2025 Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion ICLR 2025 Open-World Objectness Modeling Unifies Novel Object Detection CVPR 2025 Primitive Vision: Improving Diagram Understanding in MLLMs ICML 2025 Protein Fitness Landscape: Spectral Graph Theory Perspective AISTATS 2025 Robustifying Zero-Shot Vision Language Models by Subspaces Alignment ICCV 2025 Adaptive Multi-head Contrastive Learning ECCV 2024 Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap ECCV 2024 Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024 CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization CVPR 2024 Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector AAAI 2024 Few-Shot Shape Recognition by Learning Deep Shape-Aware Features WACV 2024 Motion meets Attention: Video Motion Prompts ACML 2024 OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection ECCV 2024 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NeurIPS 2024 Pre-training with Random Orthogonal Projection Image Modeling ICLR 2024 Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples CVPR 2024 Semantic Transfer From Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition WACV 2024 3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition CVPR 2023 Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation CVPR 2023 Learning Partial Correlation Based Deep Visual Representation for Image Classification CVPR 2023 Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval ICCV 2023 Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective NeurIPS 2023 NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs NeurIPS 2023 Spectral Feature Augmentation for Graph Contrastive Learning and Beyond AAAI 2023 Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement CVPR 2023 EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning CVPR 2022 Few-Shot Keypoint Detection With Uncertainty Learning for Unseen Species CVPR 2022 Generalized Laplacian Eigenmaps NeurIPS 2022 Kernelized Few-Shot Object Detection With Efficient Integral Aggregation CVPR 2022 Manifold Learning Benefits GANs CVPR 2022 Meta-Learning for Multi-Label Few-Shot Classification WACV 2022 Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection ECCV 2022 Towards a Robust Differentiable Architecture Search Under Label Noise WACV 2022 Uncertainty-DTW for Time Series and Sequences ECCV 2022 On Learning the Geodesic Path for Incremental Learning CVPR 2021 Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021 Simple Spectral Graph Convolution ICLR 2021 Adaptive Subspaces for Few-Shot Learning CVPR 2020 Few-shot Action Recognition with Permutation-invariant Attention ECCV 2020 On Modulating the Gradient for Meta-Learning ECCV 2020 Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring CVPR 2019 Few-Shot Learning via Saliency-Guided Hallucination of Samples CVPR 2019 Fisher-Bures Adversary Graph Convolutional Networks UAI 2019 Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs ICCV 2019 A Deeper Look at Power Normalizations CVPR 2018 Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond ECCV 2018 Second-order Democratic Aggregation ECCV 2018 Zero-Shot Kernel Learning CVPR 2018 Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors CVPR 2017 Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition CVPR 2016 Convolutional Kernel Networks NeurIPS 2014