Mahsa Baktashmotlagh

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 84

Top Topics

Subspace Analysis

Speaker Verification

Object Detection

Top Venues

Publications

Nikhil Reddy, Mahsa Baktashmotlagh, Chetan Arora
Domain-Aware Knowledge Distillation for Continual Model Generalization. WACV (2024)
Jia Syuen Lim, Zhuoxiao Chen, Mahsa Baktashmotlagh, Zhi Chen, Xin Yu, Zi Huang, Yadan Luo
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection. CoRR (2024)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Leveraging LLMs for Unsupervised Dense Retriever Ranking. SIGIR (2024)
Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection. SIGIR (2024)
Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Zi Huang, Yadan Luo
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection. CoRR (2024)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Leveraging LLMs for Unsupervised Dense Retriever Ranking. CoRR (2024)
Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection. CoRR (2024)
Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh
Convolutional Persistence as a Remedy to Neural Model Analysis. AISTATS (2023)
Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh
Exploring Active 3D Object Detection from a Generalization Perspective. ICLR (2023)
Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann
Center-aware Adversarial Augmentation for Single Domain Generalization. WACV (2023)
Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Zi Huang, Mahsa Baktashmotlagh
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection. CoRR (2023)
Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. ICCV (2023)
Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh
Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Mahsa Baktashmotlagh, Zi Huang
Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection. ICCV (2023)
Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh
Exploring Active 3D Object Detection from a Generalization Perspective. CoRR (2023)
Siamak Layeghy, Mahsa Baktashmotlagh, Marius Portmann
DI-NIDS: Domain invariant network intrusion detection system. Knowl. Based Syst. 273 (2023)
Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. CoRR (2023)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon
Selecting which Dense Retriever to use for Zero-Shot Search. CoRR (2023)
Zhuoxiao Chen, Yadan Luo, Zi Huang, Zheng Wang, Mahsa Baktashmotlagh
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. CoRR (2023)
Yadan Luo, Zijian Wang, Zhuoxiao Chen, Zi Huang, Mahsa Baktashmotlagh
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Zhuoxiao Chen, Yadan Luo, Zheng Wang, Mahsa Baktashmotlagh, Zi Huang
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. ICCV (2023)
Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh
How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. ICCV (2023)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon
Selecting which Dense Retriever to use for Zero-Shot Search. SIGIR-AP (2023)
Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh
FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification. WACV (2023)
Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh
Rethinking Persistent Homology For Visual Recognition. TAG-ML (2022)
Yadan Luo, Zijian Wang, Zhuoxiao Chen, Zi Huang, Mahsa Baktashmotlagh
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation. CoRR (2022)
Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh
Rethinking Persistent Homology for Visual Recognition. CoRR (2022)
Siamak Layeghy, Mahsa Baktashmotlagh, Marius Portmann
DI-NIDS: Domain Invariant Network Intrusion Detection System. CoRR (2022)
Philip Hawkins, Frédéric Maire, Simon Denman, Mahsa Baktashmotlagh
Modular Construction Planning Using Graph Neural Network Heuristic Search. AI (2022)
Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann
Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift. WACV (2022)
Nikhil Reddy, Abhinav Singhal, Abhishek Kumar, Mahsa Baktashmotlagh, Chetan Arora
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions. ECCV (39) (2022)
Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann
Contrastive Class-aware Adaptation for Domain Generalization. ICPR (2022)
Farhad Moghimifar, Lizhen Qu, Terry Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh
Neural-Symbolic Commonsense Reasoner with Relation Predictors. ACL/IJCNLP (2) (2021)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Semi-supervised Keypoint Localization. CoRR (2021)
Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh
Learning to Diversify for Single Domain Generalization. ICCV (2021)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Going Deeper into Semi-supervised Person Re-identification. CoRR (2021)
Zhuoxiao Chen, Yadan Luo, Mahsa Baktashmotlagh
Conditional Extreme Value Theory for Open Set Video Domain Adaptation. CoRR (2021)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Semi-supervised Keypoint Localization. ICLR (2021)
Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh
Neural-Symbolic Commonsense Reasoner with Relation Predictors. CoRR (2021)
Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh
Learning to Diversify for Single Domain Generalization. CoRR (2021)
Ahmed Al-Saffar, Alina Bialkowski, Mahsa Baktashmotlagh, Adnan Trakic, Lei Guo, Amin M. Abbosh
Closing the Gap of Simulation to Reality in Electromagnetic Imaging of Brain Strokes via Deep Neural Networks. IEEE Trans. Computational Imaging 7 (2021)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification. WACV (2021)
Zhuoxiao Chen, Yadan Luo, Mahsa Baktashmotlagh
Conditional Extreme Value Theory for Open Set Video Domain Adaptation. MMAsia (2021)
Mateusz Michalkiewicz, Stavros Tsogkas, Sarah Parisot, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction. CoRR (2021)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Asia O. Armstrong, Mahsa Baktashmotlagh
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings. DICTA (2021)
Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh
Domain Adaptative Causality Encoder. CoRR (2020)
Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Mahsa Baktashmotlagh
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph. CoRR (2020)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Learning Landmark Guided Embeddings for Animal Re-identification. WACV Workshops (2020)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification. CoRR (2020)
Qianggong Zhang, Yanyang Gu, Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Anders P. Eriksson
Implicitly Defined Layers in Neural Networks. CoRR (2020)
Yadan Luo, Zi Huang, Zijian Wang, Zheng Zhang, Mahsa Baktashmotlagh
Adversarial Bipartite Graph Learning for Video Domain Adaptation. ACM Multimedia (2020)
Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh
Progressive Graph Learning for Open-Set Domain Adaptation. ICML (2020)
Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson
A Simple and Scalable Shape Representation for 3D Reconstruction. CoRR (2020)
Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors. CoRR (2020)
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan
Correlation-aware adversarial domain adaptation and generalization. Pattern Recognit. 100 (2020)
Yadan Luo, Zi Huang, Zijian Wang, Zheng Zhang, Mahsa Baktashmotlagh
Adversarial Bipartite Graph Learning for Video Domain Adaptation. CoRR (2020)
Farhad Moghimifar, Afshin Rahimi, Mahsa Baktashmotlagh, Xue Li
Learning Causal Bayesian Networks from Text. CoRR (2020)
Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors. ECCV (25) (2020)
Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering. CoRR (2020)
Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh
Progressive Graph Learning for Open-Set Domain Adaptation. CoRR (2020)
Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson
A Simple and Scalable Shape Representation for 3D Reconstruction. BMVC (2020)
Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks. AAAI (2020)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Learning landmark guided embeddings for animal re-identification. CoRR (2020)
Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari
CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering. COLING (2020)
Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh
Prototype-Matching Graph Network for Heterogeneous Domain Adaptation. ACM Multimedia (2020)
Mateusz Michalkiewicz, Jhony Kaesemodel Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson
Implicit Surface Representations As Layers in Neural Networks. ICCV (2019)
Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann
Learning Factorized Representations for Open-Set Domain Adaptation. ICLR (Poster) (2019)
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan
Correlation-aware Adversarial Domain Adaptation and Generalization. CoRR (2019)
Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson
Deep Level Sets: Implicit Surface Representations for 3D Shape Inference. CoRR (2019)
Philip Hawkins, Frédéric Maire, Simon Denman, Mahsa Baktashmotlagh
Object Graph Networks for Spatial Language Grounding. DICTA (2019)
Samuel Cunningham-Nelson, Mahsa Baktashmotlagh, Wageeh W. Boles
Visualizing Student Opinion Through Text Analysis. IEEE Trans. Educ. 62 (4) (2019)
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan
Multi-Component Image Translation for Deep Domain Generalization. WACV (2019)
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan
On Minimum Discrepancy Estimation for Deep Domain Adaptation. CoRR (2019)
Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling. CoRR (2019)
Olga Moskvyak, Frédéric Maire, Asia O. Armstrong, Feras Dayoub, Mahsa Baktashmotlagh
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings. CoRR (2019)
Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann
Learning Factorized Representations for Open-set Domain Adaptation. CoRR (2018)
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan
Multi-component Image Translation for Deep Domain Generalization. CoRR (2018)
Ahmed Kamil Hasan Al-Ali, David Dean, Bouchra Senadji, Mahsa Baktashmotlagh, Vinod Chandran
Speaker verification with multi-run ICA based speech enhancement. ICSPCS (2017)
Samuel Cunningham-Nelson, Mahsa Baktashmotlagh, Wageeh W. Boles
From Review to Rating: Exploring Dependency Measures for Text Classification. CoRR (2017)
Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. AAAI (2017)
Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes
Deep discovery of facial motions using a shallow embedding layer. ICIP (2017)
Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
R1STM: One-class Support Tensor Machine with Randomised Kernel. SDM (2016)
Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann
Distribution-Matching Embedding for Visual Domain Adaptation. J. Mach. Learn. Res. 17 (2016)
Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
Robust Domain Generalisation by Enforcing Distribution Invariance. IJCAI (2016)
Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie
R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. AAAI (2015)
Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. CoRR (2015)
Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. ICCV (2015)
Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann
Discriminative Non-Linear Stationary Subspace Analysis for Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36 (12) (2014)
Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann
Domain Adaptation on the Statistical Manifold. CVPR (2014)
Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann
Unsupervised Domain Adaptation by Domain Invariant Projection. ICCV (2013)
Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell, Mathieu Salzmann
Non-Linear Stationary Subspace Analysis with Application to Video Classification. ICML (3) (2013)
Amin Ahmadi, Abbas Bigdeli, Mahsa Baktashmotlagh, Brian C. Lovell
A wireless mesh sensor network for hazard and safety monitoring at the Port of Brisbane. LCN (2012)
Mahsa Baktashmotlagh, Abbas Bigdeli, Brian C. Lovell
Dynamic resource aware sensor networks: Integration of sensor cloud and ERPs. AVSS (2011)