Koniusz, Piotr

59 publications

NeurIPS 2025 Amortized Active Generation of Pareto Sets Daniel M. Steinberg, Asiri Wijesinghe, Rafael Oliveira, Piotr Koniusz, Cheng Soon Ong, Edwin V. Bonilla

CVPR 2025 BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning Hao Zhu, Yifei Zhang, Junhao Dong, Piotr Koniusz

NeurIPS 2025 CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning Yifei Zhang, Hao Zhu, Junhao Dong, Haoran Shi, Ziqiao Meng, Piotr Koniusz, Han Yu

NeurIPS 2025 Graph Your Own Prompt Xi Ding, Lei Wang, Piotr Koniusz, Yongsheng Gao

ICML 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-Form Alignment of Adversarial Path Simplices Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong

ICLR 2025 Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz

NeurIPS 2025 Machine Unlearning via Task Simplex Arithmetic Junhao Dong, Hao Zhu, Yifei Zhang, Xinghua Qu, Yew-Soon Ong, Piotr Koniusz

CVPRW 2025 Noise Consistency Regularization for Improved Subject-Driven Image Synthesis Yao Ni, Song Wen, Piotr Koniusz, Anoop Cherian

CVPR 2025 Open-World Objectness Modeling Unifies Novel Object Detection Shan Zhang, Yao Ni, Jinhao Du, Yuan Xue, Philip Torr, Piotr Koniusz, Anton van den Hengel

ICML 2025 Primitive Vision: Improving Diagram Understanding in MLLMs Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton Van Den Hengel, Yuan Xue

AISTATS 2025 Protein Fitness Landscape: Spectral Graph Theory Perspective Hao Zhu, Daniel M. Steinberg, Piotr Koniusz

NeurIPS 2025 Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models Junhao Dong, Cong Zhang, Xinghua Qu, Zejun Ma, Piotr Koniusz, Yew-Soon Ong

ICCV 2025 Robustifying Zero-Shot Vision Language Models by Subspaces Alignment Junhao Dong, Piotr Koniusz, Liaoyuan Feng, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong

ECCV 2024 Adaptive Multi-Head Contrastive Learning Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng

ECCV 2024 Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong

CVPR 2024 Adversarially Robust Few-Shot Learning via Parameter Co-Distillation of Similarity and Class Concept Learners Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong

CVPR 2024 CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz Continuity constrAIned Normalization Yao Ni, Piotr Koniusz

AAAI 2024 Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector Changsheng Lu, Piotr Koniusz

WACV 2024 Few-Shot Shape Recognition by Learning Deep Shape-Aware Features Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz

ACML 2024 Motion Meets Attention: Video Motion Prompts Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon

ECCV 2024 OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection Changsheng Lu, Zheyuan Liu, Piotr Koniusz

NeurIPS 2024 PACE: Marrying Generalization in PArameter-Efficient Fine-Tuning with Consistency rEgularization Yao Ni, Shan Zhang, Piotr Koniusz

ICLR 2024 Pre-Training with Random Orthogonal Projection Image Modeling Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz

CVPR 2024 Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong

WACV 2024 Semantic Transfer from Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition Shan Zhang, Yao Ni, Jinhao Du, Yanxia Liu, Piotr Koniusz

CVPR 2023 3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition Lei Wang, Piotr Koniusz

CVPR 2023 Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray

CVPR 2023 Learning Partial Correlation Based Deep Visual Representation for Image Classification Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun

ICCV 2023 Learning Spatial-Context-Aware Global Visual Feature Representation for Instance Image Retrieval Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz

NeurIPS 2023 Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King

NeurIPS 2023 NICE: NoIse-Modulated Consistency rEgularization for Data-Efficient GANs Yao Ni, Piotr Koniusz

AAAI 2023 Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

CVPR 2023 Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement Hao Zhu, Piotr Koniusz

CVPR 2022 EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning Hao Zhu, Piotr Koniusz

CVPR 2022 Few-Shot Keypoint Detection with Uncertainty Learning for Unseen Species Changsheng Lu, Piotr Koniusz

NeurIPS 2022 Generalized Laplacian Eigenmaps Hao Zhu, Piotr Koniusz

CVPR 2022 Kernelized Few-Shot Object Detection with Efficient Integral Aggregation Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz

CVPR 2022 Manifold Learning Benefits GANs Yao Ni, Piotr Koniusz, Richard Hartley, Richard Nock

WACV 2022 Meta-Learning for Multi-Label Few-Shot Classification Christian Simon, Piotr Koniusz, Mehrtash Harandi

ECCV 2022 Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz

WACV 2022 Towards a Robust Differentiable Architecture Search Under Label Noise Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi

ECCV 2022 Uncertainty-DTW for Time Series and Sequences Lei Wang, Piotr Koniusz

CVPR 2021 On Learning the Geodesic Path for Incremental Learning Christian Simon, Piotr Koniusz, Mehrtash Harandi

CVPR 2021 Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr

ICLR 2021 Simple Spectral Graph Convolution Hao Zhu, Piotr Koniusz

ECCV 2020 Few-Shot Action Recognition with Permutation-Invariant Attention Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz

ECCV 2020 On Modulating the Gradient for Meta-Learning Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi

UAI 2019 Fisher-Bures Adversary Graph Convolutional Networks Ke Sun, Piotr Koniusz, Zhen Wang

WACV 2019 Power Normalizing Second-Order Similarity Network for Few-Shot Learning Hongguang Zhang, Piotr Koniusz

WACV 2019 Recovering Faces from Portraits with Auxiliary Facial Attributes Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz

WACV 2018 Identity-Preserving Face Recovery from Portraits Fatemeh Shiri, Fatih Porikli, Richard Hartley, Piotr Koniusz

ECCVW 2018 Model Selection for Generalized Zero-Shot Learning Hongguang Zhang, Piotr Koniusz

ECCV 2018 Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang

ECCV 2018 Second-Order Democratic Aggregation Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz

CVPR 2017 Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors Piotr Koniusz, Yusuf Tas, Fatih Porikli

WACV 2017 Higher-Order Pooling of CNN Features via Kernel Linearization for Action Recognition Anoop Cherian, Piotr Koniusz, Stephen Gould

CVPR 2016 Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition Piotr Koniusz, Anoop Cherian

ECCV 2016 Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons Piotr Koniusz, Anoop Cherian, Fatih Porikli

NeurIPS 2014 Convolutional Kernel Networks Julien Mairal, Piotr Koniusz, Zaid Harchaoui, Cordelia Schmid