Ghassan AlRegib
Professor
Leads the OLIVES lab on machine learning for visual data, including seismic and medical imaging.
Ghassan AlRegib's lab at Georgia Tech works on computational imaging & photography and medical image analysis. 43 papers since 2023, 4 at top venues, mostly ICIP and ICML. 53 alumni, most often to Apple and Qualcomm. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 9%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 53
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 3 · collecting
- 6 papers2025 · T1 0
- 12 papers2024 · T1 1
- 16 papers2023 · T1 0
T1 venuesOtherVenues: ICIP, ICML, WACV, ICASSP, NeurIPS
Research focuspaper titles that use each topic's words
- seismic5 papers
- Medical image analysis4 papers
- Computational imaging & photography0 papers
- visual data0 papers
- medical imaging0 papers
Paper list
From the lab homepage.
20269 papers
- IEEE AccessBALD-SAM: Disagreement-Based Active Prompting in Interactive Segmentation
- WACVCountering Multi-Modal Representation Collapse Through Rank-Targeted Fusion
- ICIPFedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization
- NeurIPS (T1)Inferential Theory of Learning as a Framework for Test-Time Computation in Foundation Models
- ICIPInformation Router for Mitigating Modality Dominance in Vision-Language Models
- ICML (T1)MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
- ICIPRADMI: Latent Information Aggregation as a Proxy for Model Uncertainty
- NOW Foundations and Trends in Computer Graphics and VisionRobustness in Foundation Models: A Priori, a Posteriori, and Post-Hoc Robustness
- ICASSP (T1)Scale-Aware Self-Supervised Learning for Segmentation of Small and Sparse Structures
20256 papers
- IEEE AccessA Large-Scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
- GeophysicsA Unified Framework for Evaluating Robustness of Machine Learning Interpretability for Prospect Risking
- WACVHEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
- DMLRHierarchical and Multimodal Data for Daily Activity Understanding
- ICIPMulti-Level and Multi-Modal Action Anticipation
- MLSPSubject Invariant Contrastive Learning for Human Activity Recognition
202412 papers
- ICIPAre Objective Explanatory Evaluation Metrics Trustworthy? An Adversarial Analysis
- IEEE Conference on Big DataBenchmarking Human and Automated Prompting in the Segment Anything Model
- MIPRCounterfactual Gradients-Based Quantification of Prediction Trust in Neural Networks
- TGRSEffective Data Selection for Seismic Interpretation Through Disagreement
- ICIPExplaining Representation Learning With Perceptual Components
- ICIPIntelligent Multi-View Test Time Augmentation
- IEEE Signal Processing MagazineOphthalmic Biomarker Detection: Highlights From the IEEE Video and Image Processing Cup 2023 Student Competition
- IEEE Conference on Big DataTargeting Negative Flips in Active Learning Using Validation Sets
- ICIPTaxes Are All You Need: Integration of Taxonomical Hierarchy Relationships Into the Contrastive Loss
- T-ITSTrajPRed: Trajectory Prediction With Region-Based Relation Learning
- ICML (T1)Transitional Uncertainty With Layered Intermediate Predictions
- Journal of Selected Topics in Signal Processing (J-STSP) Special Series on AI in Signal & Data ScienceVOICE: Variance of Induced Contrastive Explanations to Quantify Uncertainty in Neural Network Interpretability
202316 papers
- GeophysicsActive Learning With Deep Autoencoders for Seismic Facies Interpretation
- GeophysicsAdaptive Finetuning of 3D CNNs With Interpretation Uncertainty for Seismic Fault Prediction
- Arabian Journal for Science and EngineeringBlind Curvelet-Based Denoising of Seismic Surveys in Coherent and Incoherent Noise Environments
- ACM-BCBClinical Trial Active Learning
- IEEE Journal of Biomedical and Health InformaticsClinically Labeled Contrastive Learning for OCT Biomarker Classification
- International Meeting for Applied Geoscience & Energy (IMAGE)Counterfactual Uncertainty for High Dimensional Structured Datasets
- GeophysicsExplainable Machine Learning for Hydrocarbon Prospect Risking
- NeurIPS WorkshopExplaining Explainers: Necessity and Sufficiency in Tabular Data
- Open Journal of Signals ProcessingExploiting the Distortion-Semantic Interaction in Fisheye Data
- IEEE Conference on Big DataFOCAL: A Cost-Aware, Video Dataset for Active Learning
- TAIGaussian Switch Sampling: A Second Order Approach to Active Learning
- NeurIPS WorkshopLearning in Clinical Trial Settings
Where alumni went53 listed, 73% to industry
Industry 19Academia 7
Most often to
- Apple
- Qualcomm
- Microsoft
Also to
- Georgia Tech
- Auburn University
- Kennesaw State University
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Xiaoyun Zhang
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