Piotr Koniusz

36

Papers

61

Total Citations

Papers (36)

Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion

Pre-training with Random Orthogonal Projection Image Modeling

Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners

Open-World Objectness Modeling Unifies Novel Object Detection

BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning

Graph Your Own Prompt

Zero-Shot Kernel Learning

Few-Shot Learning via Saliency-Guided Hallucination of Samples

Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring

Adaptive Subspaces for Few-Shot Learning

Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning

EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning

Kernelized Few-Shot Object Detection With Efficient Integral Aggregation

Manifold Learning Benefits GANs

Few-Shot Keypoint Detection With Uncertainty Learning for Unseen Species

Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation

Learning Partial Correlation Based Deep Visual Representation for Image Classification

3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition

Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs

Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval

Few-shot Action Recognition with Permutation-invariant Attention

On Modulating the Gradient for Meta-Learning

Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection

Uncertainty-DTW for Time Series and Sequences

On Learning the Geodesic Path for Incremental Learning

Robustifying Zero-Shot Vision Language Models by Subspaces Alignment

Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector

CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization

Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition

Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors

A Deeper Look at Power Normalizations

Generalized Laplacian Eigenmaps

NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective