Faculty

Institution

Unit

Venue

Svetlana Lazebnik

Professor and Willett Faculty Scholar

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Svetlana Lazebnik is currently serving as a Siebel School Of Computing And Data Science Professor and Willett Faculty Scholar at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Svetlana Lazebnik

University of Illinois Urbana-Champaign

Professor and Willett Faculty Scholar

You can click a keyword to filter the displayed items

image representation computer vision image analysis computer science machine vision data science machine learning pattern recognition deep learning multimedia information processing digital image processing machine learning research multimedia retrieval object recognition vision language model natural language processing multimedia modeling neural network (machine learning) scene understanding image similarity text-to-image retrieval scene analysis feature (computer vision) feature learning image classification object detection visual grounding computational imaging visual question answering image retrieval computer graphics semantic evaluation convolutional neural networks 3d computer vision texture analysis vision recognition mathematics applied mathematics natural language generation robot learning image communication scene interpretation similarity search multi-view geometry 3d object recognition object categorization computational intelligence multimodal llm semi-supervised learning supervised learning deep reinforcement learning scene modeling localization knowledge discovery visual science model compression 3d vision object modeling structure from motion projective geometry binary codes spatial pyramid matching iterative quantization procrustean approach sparse texture representation feature extraction stage single network multiple tasks phrase localization object localization scene recognition minimization procedure per-exemplar detectors affine-invariant patches network quantization canonical correlation analysis ai foundation artificial intelligence memetic computing

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Street Tryon: Learning In-The-Wild Virtual Try-on From Unpaired Person Images. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2025)

Aiyu CuiJay MahajanViraj ShahPreeti GomathinayagamChang LiuSvetlana Lazebnik

human image synthesisartificial intelligenceimage communicationvision language modelpattern recognitionimage analysisfilmscene understandingimage representationstreet tryonmachine learningcomputer science

In Memoriam: Xiaoou Tang. International Journal of Computer Vision (2024)

Yasuyuki MatsushitaSvetlana LazebnikJiri Matas

translation studieseast asian studiesqigongcontemporary asiayogachinese medicinexiaoou tangchinese cultureasian studiesasian englishcontemporary chinatraditional chinese medicineeast asian languagescultural studies

Shadows Don't Lie and Lines Can't Bend! Generative Models Don't Know Projective Geometry…for Now. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Ayush SarkarHanlin MaiAmitabh MahapatraSvetlana LazebnikD.A. ForsythAnand Bhattad

graphicscomputational geometryprojective geometrygeometryprojective geometry…forgenerative modelslines camathematicsgeometric modeling

UNZIPLORA: Separating Content and Style From a Single Image. arXiv (Cornell University) (2024)

Liu, ChangShah, VirajCui, AiyuLazebnik, Svetlana

single imagemultimedia retrievalhuman image synthesisdigital artcomputer visionimage communicationmultimedia information processingstyle transferstyle entanglementimage analysismultimodal learningseparating contentimage representationcomputer scienceart

ZIPLORA: Any Subject in Any Style by Effectively Merging Loras. Lecture notes in computer science (2024)

Viraj ShahNataniel RuizForrester ColeErika LuSvetlana LazebnikYuanzhen LiVarun Jampani

any styledigital artartlanguage

JOIN: Joint Gans Inversion for Intrinsic Image Decomposition. arXiv (Cornell University) (2023)

Shah, VirajLazebnik, SvetlanaPhilip, Julien

computational imagingneural network (machine learning)intrinsic image decompositionjoint gans inversioncomputer visiondeep learningsynthetic image generationinverse problemsgenerative modelsdigital image processingimage analysisgenerative aidistribution priorsimage representationgenerative adversarial networksmachine learning

One-Shot Stylization for Full-Body Human Images. arXiv (Cornell University) (2023)

Cui, AiyuLazebnik, Svetlana

one-shot stylizationhuman pose estimationhuman image synthesiscomputer visionimage communicationstyle transferdeep learningsynthetic image generationmachine visionimage analysisfull-body human imagesmultimedia modelingimage representationarthuman stylization

Street Tryon: Learning In-The-Wild Virtual Try-on From Unpaired Person Images. arXiv (Cornell University) (2023)

Cui, AiyuMahajan, JayShah, VirajGomathinayagam, PreetiLazebnik, Svetlana

machine learninghuman image synthesisscene analysisvirtual try-oncomputer visionimage communicationmultimedia information processinggarment imagemachine visiondigital image processingimage analysisdata sciencemultimedia modelingimage representationscene understandingscene modelingcomputer sciencestreet tryon

MULTISTYLEGAN: Multiple One-Shot Image Stylizations Using a Single Gan. arXiv (Cornell University) (2022)

Shah, VirajSarkar, AyushAnitha, Sudharsan KrishnakumarLazebnik, Svetlana

reference stylesingle ganimage stylizationsstyle transferdeep learningsynthetic image generationgenerative aiimage analysismultimedia modelingimage representationmachine learningcomputer science

Robust Online Video Instance Segmentation With Track Queries. arXiv (Cornell University) (2022)

Zhan, ZitongMcKee, DanielLazebnik, Svetlana

track queriesvideo content analysismultimedia retrievalvideo understandingmultimedia computingcomputer visionmultimedia information processingmachine visiondigital image processingimage analysisdata sciencevideo processingimage representationvideo instance segmentationinstance mask volumescomputer scienceobject trackingvideo retrieval

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Svetlana Lazebnik

Professor and Willett Faculty Scholar

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Svetlana Lazebnik is currently serving as a Siebel School Of Computing And Data Science Professor and Willett Faculty Scholar at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Svetlana Lazebnik

University of Illinois Urbana-Champaign

Professor and Willett Faculty Scholar

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Street Tryon: Learning In-The-Wild Virtual Try-on From Unpaired Person Images. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2025)

Aiyu CuiJay MahajanViraj ShahPreeti GomathinayagamChang LiuSvetlana Lazebnik

In Memoriam: Xiaoou Tang. International Journal of Computer Vision (2024)

Yasuyuki MatsushitaSvetlana LazebnikJiri Matas

Shadows Don't Lie and Lines Can't Bend! Generative Models Don't Know Projective Geometry…for Now. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Ayush SarkarHanlin MaiAmitabh MahapatraSvetlana LazebnikD.A. ForsythAnand Bhattad

graphicscomputational geometryprojective geometrygeometryprojective geometry…forgenerative modelslines camathematicsgeometric modeling

UNZIPLORA: Separating Content and Style From a Single Image. arXiv (Cornell University) (2024)

Liu, ChangShah, VirajCui, AiyuLazebnik, Svetlana

ZIPLORA: Any Subject in Any Style by Effectively Merging Loras. Lecture notes in computer science (2024)

Viraj ShahNataniel RuizForrester ColeErika LuSvetlana LazebnikYuanzhen LiVarun Jampani

any styledigital artartlanguage

JOIN: Joint Gans Inversion for Intrinsic Image Decomposition. arXiv (Cornell University) (2023)

Shah, VirajLazebnik, SvetlanaPhilip, Julien

One-Shot Stylization for Full-Body Human Images. arXiv (Cornell University) (2023)

Cui, AiyuLazebnik, Svetlana

Street Tryon: Learning In-The-Wild Virtual Try-on From Unpaired Person Images. arXiv (Cornell University) (2023)

Cui, AiyuMahajan, JayShah, VirajGomathinayagam, PreetiLazebnik, Svetlana

MULTISTYLEGAN: Multiple One-Shot Image Stylizations Using a Single Gan. arXiv (Cornell University) (2022)

Shah, VirajSarkar, AyushAnitha, Sudharsan KrishnakumarLazebnik, Svetlana

reference stylesingle ganimage stylizationsstyle transferdeep learningsynthetic image generationgenerative aiimage analysismultimedia modelingimage representationmachine learningcomputer science

Robust Online Video Instance Segmentation With Track Queries. arXiv (Cornell University) (2022)

Zhan, ZitongMcKee, DanielLazebnik, Svetlana

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