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Piotr Koniusz

55 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (76) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🏠 Conference Loyalist (22) 🀝 Dynamic Duo (10) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ“ˆ Trend Setter ⚑ Prolific Year (12) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (10) πŸ’Ž Century Club (53) πŸ—ƒοΈ Keyword Collector (168)

Conferences

CVPR (22) ECCV (9) NIPS (5) AAAI (4) WACV (4) ICCV (3) ICLR (3) ICML (2) ACML (1) AISTATS (1) UAI (1)

Top co-authors

Lei Wang (12) Hao Zhu (10) Hongguang Zhang (7) Shan Zhang (6) Junhao Dong (6) Yao Ni (6) Mehrtash Harandi (6) Yifei Zhang (5) Christian Simon (5) Yew-Soon Ong (5)

Research topics

Core AI (1)

Keywords

few-shot learning (11) convolutional neural network (5) image classification (5) kernel methods (4) similarity learning (3) zero-shot learning (3) feature augmentation (3) adversarial robustness (3) transfer learning (3) generative adversarial network (3) self-supervised learning (2) contrastive learning (2) semi-supervised learning (2) feature alignment (2) metric learning (2) knowledge distillation (2) feature extraction (2) transductive learning (2) action recognition (2) feature learning (2)

Papers

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