Mahsa Baktashmotlagh

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2011–2026

Best venue rank

Where they publish

Papers

48 indexed papers, newest first.

Year	Venue	Title	Authors
2026	WACV	Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency.	Nikhil Reddy, Chetan Arora, Mahsa Baktashmotlagh
2025	ICCV	PEFTDiff: Diffusion-Guided Transferability Estimation for Parameter-Efficient Fine-Tuning.	Prafful Kumar Khoba, Zijian Wang, Chetan Arora, Mahsa Baktashmotlagh
2025	ICCV	Not All Views Are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models.	Mateusz Michalkiewicz, Sheena Bai, Mahsa Baktashmotlagh, Varun Jampani, Guha Balakrishnan
2025	ICLR	MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection.	Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, Zi Huang, Yadan Luo
2025	ICML	Improving Out-of-Distribution Detection via Dynamic Covariance Calibration.	Kaiyu Guo, Zijian Wang, Tan Pan, Brian C. Lovell, Mahsa Baktashmotlagh
2025	ICRA	Shape-Space Deformer: Unified Visuo-Tactile Representations for Robotic Manipulation of Deformable Objects.	Sean M. V. Collins, Brendan Tidd, Mahsa Baktashmotlagh, Peyman Moghadam
2025	WACV	Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation.	Prafful Kumar Khoba, Zijian Wang, Chetan Arora, Mahsa Baktashmotlagh
2024	ECCV	Source-Free Domain-Invariant Performance Prediction.	Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann
2024	SIGIR	Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection.	Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
2024	SIGIR	Leveraging LLMs for Unsupervised Dense Retriever Ranking.	Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
2024	WACV	Domain-Aware Knowledge Distillation for Continual Model Generalization.	Nikhil Reddy, Mahsa Baktashmotlagh, Chetan Arora
2023	AISTATS	Convolutional Persistence as a Remedy to Neural Model Analysis.	Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh
2023	ICCV	Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling.	Zhuoxiao Chen, Yadan Luo, Zheng Wang, Mahsa Baktashmotlagh, Zi Huang
2023	ICCV	Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection.	Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Mahsa Baktashmotlagh, Zi Huang
2023	ICCV	Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters.	Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh
2023	ICCV	How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability.	Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh
2023	ICLR	Exploring Active 3D Object Detection from a Generalization Perspective.	Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh
2023	WACV	Center-aware Adversarial Augmentation for Single Domain Generalization.	Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann
2023	WACV	FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification.	Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh
2022	ECCV	Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions.	Nikhil Reddy, Abhinav Singhal, Abhishek Kumar, Mahsa Baktashmotlagh, Chetan Arora
2022	ICPR	Contrastive Class-aware Adaptation for Domain Generalization.	Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann
2022	WACV	Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift.	Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann
2021	ACL	Neural-Symbolic Commonsense Reasoner with Relation Predictors.	Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh
2021	DICTA	Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings.	Olga Moskvyak, Frdric Maire, Feras Dayoub, Asia O. Armstrong, Mahsa Baktashmotlagh
2021	ICCV	Learning to Diversify for Single Domain Generalization.	Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh
2021	ICLR	Semi-supervised Keypoint Localization.	Olga Moskvyak, Frdric Maire, Feras Dayoub, Mahsa Baktashmotlagh
2021	WACV	Keypoint-Aligned Embeddings for Image Retrieval and Re-identification.	Olga Moskvyak, Frdric Maire, Feras Dayoub, Mahsa Baktashmotlagh
2020	AAAI	Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks.	Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang
2020	BMVC	A Simple and Scalable Shape Representation for 3D Reconstruction.	Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson
2020	COLING	CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering.	Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari
2020	ECCV	Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors.	Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
2020	ICML	Progressive Graph Learning for Open-Set Domain Adaptation.	Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh
2020	WACV	Learning Landmark Guided Embeddings for Animal Re-identification.	Olga Moskvyak, Frdric Maire, Feras Dayoub, Mahsa Baktashmotlagh
2019	DICTA	Object Graph Networks for Spatial Language Grounding.	Philip Hawkins, Frdric Maire, Simon Denman, Mahsa Baktashmotlagh
2019	ICCV	Implicit Surface Representations As Layers in Neural Networks.	Mateusz Michalkiewicz, Jhony Kaesemodel Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson
2019	ICLR	Learning Factorized Representations for Open-Set Domain Adaptation.	Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann
2019	WACV	Multi-Component Image Translation for Deep Domain Generalization.	Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan
2017	AAAI	From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach.	Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2017	ICIP	Deep discovery of facial motions using a shallow embedding layer.	Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes
2016	IJCAI	Robust Domain Generalisation by Enforcing Distribution Invariance.	Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2016	SDM	R1STM: One-class Support Tensor Machine with Randomised Kernel.	Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2015	AAAI	R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection.	Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie
2015	ICCV	Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs.	Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh
2014	CVPR	Domain Adaptation on the Statistical Manifold.	Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann
2013	ICCV	Unsupervised Domain Adaptation by Domain Invariant Projection.	Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann
2013	ICML	Non-Linear Stationary Subspace Analysis with Application to Video Classification.	Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell, Mathieu Salzmann
2012	LCN	A wireless mesh sensor network for hazard and safety monitoring at the Port of Brisbane.	Amin Ahmadi, Abbas Bigdeli, Mahsa Baktashmotlagh, Brian C. Lovell
2011	AVSS	Dynamic resource aware sensor networks: Integration of sensor cloud and ERPs.	Mahsa Baktashmotlagh, Abbas Bigdeli, Brian C. Lovell