Mahsa Baktashmotlagh

Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency WACV 2026 Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation WACV 2025 Improving Out-of-Distribution Detection via Dynamic Covariance Calibration ICML 2025 MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection ICLR 2025 Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models ICCV 2025 PEFTDiff: Diffusion-Guided Transferability Estimation for Parameter-Efficient Fine-Tuning ICCV 2025 Color-Oriented Redundancy Reduction in Dataset Distillation NeurIPS 2024 DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection NeurIPS 2024 Source-Free Domain-Invariant Performance Prediction ECCV 2024 Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024 Center-Aware Adversarial Augmentation for Single Domain Generalization WACV 2023 Convolutional Persistence as a Remedy to Neural Model Analysis AISTATS 2023 Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters ICCV 2023 Exploring Active 3D Object Detection from a Generalization Perspective ICLR 2023 FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification WACV 2023 How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability ICCV 2023 KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection ICCV 2023 Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling ICCV 2023 Learning To Generate the Unknowns as a Remedy to the Open-Set Domain Shift WACV 2022 Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions ECCV 2022 Keypoint-Aligned Embeddings for Image Retrieval and Re-Identification WACV 2021 Learning To Diversify for Single Domain Generalization ICCV 2021 Neural-Symbolic Commonsense Reasoner with Relation Predictors ACL 2021 Semi-supervised Keypoint Localization ICLR 2021 CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering COLING 2020 Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors ECCV 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Progressive Graph Learning for Open-Set Domain Adaptation ICML 2020 Implicit Surface Representations As Layers in Neural Networks ICCV 2019 LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION ICLR 2019 Distribution-Matching Embedding for Visual Domain Adaptation JMLR 2016 Robust Domain Generalisation by Enforcing Distribution Invariance IJCAI 2016 Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs ICCV 2015 Domain Adaptation on the Statistical Manifold CVPR 2014 Non-Linear Stationary Subspace Analysis with Application to Video Classification ICML 2013 Unsupervised Domain Adaptation by Domain Invariant Projection ICCV 2013