← Authors

Mahsa Baktashmotlagh

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

Achievements

πŸ—ΊοΈ Taxonomy Completionist (64) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (13) 🀝 Dynamic Duo (11) πŸ† Grand Slam πŸ’Ž Century Club (37) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ—ƒοΈ 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