Mahsa Baktashmotlagh

37 papers · 2013–2026 · 14 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (13)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (13) 🤝 Dynamic Duo (11) 🏆 Grand Slam 💎 Century Club (37) 🔥 Unstoppable (8) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (8) 🗃️ Keyword Collector (138)

Conferences

ICCV (10) WACV (7) ICLR (4) ECCV (3) ICML (3) NIPS (2) AAAI (1) ACL (1) AISTATS (1) COLING (1) CVPR (1) IJCAI (1) IJCNLP (1) JMLR (1)

Top co-authors

Zi Huang (11) Yadan Luo (11) Zijian Wang (10) Mathieu Salzmann (9) Chetan Arora (5) Zhuoxiao Chen (5) Mateusz Michalkiewicz (4) Gholamreza Haffari (3) Farhad Moghimifar (3) Nikhil Reddy (3)

Keywords

domain adaptation (5) domain generalization (3) single domain generalization (3) knowledge graph (3) commonsense reasoning (3) feature embedding (3) transfer learning (3) domain shift (2) link prediction (2) 3d object detection (2) image synthesis (2) maximum mean discrepancy (2) catastrophic forgetting (2) foundation model (2) unsupervised domain adaptation (2) model selection (2) continual learning (2) unsupervised learning (2) feature learning (2) distribution matching (2)

Papers

Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency WACV 2026 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 MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection ICLR 2025 Improving Out-of-Distribution Detection via Dynamic Covariance Calibration ICML 2025 Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation WACV 2025 DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection NIPS 2024 Color-Oriented Redundancy Reduction in Dataset Distillation NIPS 2024 Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024 Source-Free Domain-Invariant Performance Prediction ECCV 2024 Convolutional Persistence as a Remedy to Neural Model Analysis AISTATS 2023 Exploring Active 3D Object Detection from a Generalization Perspective ICLR 2023 Center-Aware Adversarial Augmentation for Single Domain Generalization WACV 2023 FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification WACV 2023 KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection ICCV 2023 How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability ICCV 2023 Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling ICCV 2023 Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters ICCV 2023 Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions ECCV 2022 Learning To Generate the Unknowns as a Remedy to the Open-Set Domain Shift WACV 2022 Keypoint-Aligned Embeddings for Image Retrieval and Re-Identification WACV 2021 Semi-supervised Keypoint Localization ICLR 2021 Neural-Symbolic Commonsense Reasoner with Relation Predictors ACL 2021 Neural-Symbolic Commonsense Reasoner with Relation Predictors IJCNLP 2021 Learning To Diversify for Single Domain Generalization ICCV 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 Progressive Graph Learning for Open-Set Domain Adaptation ICML 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION ICLR 2019 Implicit Surface Representations As Layers in Neural Networks ICCV 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 Unsupervised Domain Adaptation by Domain Invariant Projection ICCV 2013 Non-Linear Stationary Subspace Analysis with Application to Video Classification ICML 2013