Faculty

Institution

Unit

Venue

Alexander Gerhard Schwing

Associate Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Alexander Gerhard Schwing is currently serving as an Electrical And Computer Engineering Associate Professor at Uiuc.

Honors

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Experiences

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Education

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Alexander Gerhard Schwing

UIUC

Associate Professor

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computer science machine learning data science computer vision image representation deep learning machine vision image analysis machine learning research neural network (machine learning) multimedia information processing artificial intelligence computational intelligence vision language model natural language processing digital image processing multimedia modeling scene understanding multimedia retrieval computational imaging scene modeling semantic evaluation visual grounding scene analysis robot learning generative adversarial networks cognitive science visual question answering deep reinforcement learning generative models object detection convolutional neural networks synthetic image generation natural language generation computer graphics 3d computer vision computer engineering video understanding generative ai multimodal llm medical image computing video processing visual reasoning supervised learning computational optimization 3d vision feature learning structured prediction video content analysis geometric learning multimedia computing scene interpretation fluid flow image segmentation convex optimization video interpretation image classification semi-supervised learning object recognition 3d object recognition gan training different data modalities semantic segmentation deep nets image captioning high order potentials indoor scene understanding latent space direct loss minimization deep neural networks high-order attention models textual grounding neural relational inference human body noise contrastive priors map inference advanced intelligent system applied artificial intelligence robotics perception automation engineering technology intelligent computing robotics automation pattern analysis industrial artificial intelligence robotics pattern recognition

Notable Scholarly Works

Notable Federal Grants

Collaborators

3D-Fixup: Advancing Photo Editing With 3D Priors. (2025)

Yen-Chi ChengKrishna Kumar SinghJae Shin YoonAlexander SchwingLiang-Yan GuiMatheus GadelhaPaul GuerreroNanxuan Zhao

computer-aided design3d computer visionapplied mathematicsgraphicsmultimedia modelingphoto editingcomputer graphicscomputational imaging3d reconstructiongeometric modeling3d modelingcomputer vision

MMAUDIO: Taming Multimodal Joint Training for High-Quality Video-To-Audio Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Ho Kei ChengMasato IshiiAkio HayakawaTakashi ShibuyaAlexander SchwingYuki Mitsufuji

sound synthesishigh-quality video-to-audio synthesismultimedia systemsvideo synthesizervideo hallucinationcomputer musicmultimedia information processingspeech recognitionmusicmusic technology (electronic and digital)

MV-Dust3R+: Single-Stage Scene Reconstruction From Sparse Views in 2 Seconds. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Zhenggang TangYuchen FanDilin WangHongyu XuRakesh RanjanAlexander SchwingZhicheng Yan

image representationmulti-view geometrycomputational imagingsingle-stage scene reconstructionscene modeling3d reconstructionmachine visioncomputer visioninverse problems

RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Savya KhoslaSethuraman T VAlexander SchwingDerek Hoiem

image representationsimple training-free baselineimage searchlocalizationdata sciencemachine visioninformation retrievalimage retrievalcomputer vision

Dynamic Organization of Visual Cortical Networks Inferred From Massive Spiking Datasets. (2024)

Colin GraberYurii VlasovAlexander Schwing

systems neuroscienceneuroscienceneural computationdata sciencedynamic organizationbrain circuitrydynamic routingbrain modelingneural circuitsbrain codeimage representationcomputational intelligencevisual sciencemachine learning researchneuronal networkscomputational neuroscienceconnectomicsneuroinformaticsneural network (machine learning)

Dynamic Organization of Visual Cortical Networks Revealed by Machine Learning Applied to Massive Spiking Datasets. (2024)

Colin GraberYurii VlasovAlexander Schwing

systems neurosciencebrain codeimage representationcomputational intelligencevisual sciencemachine learning researchbrain circuitrydynamic organizationneuronal networksdynamic routingneurosciencebrain modelingdata sciencecomputational neuroscienceconnectomicsneural computationneuroinformaticsneural network (machine learning)

Dynamic Organization of Visual Cortical Networks Revealed by Machine Learning Applied to Massive Spiking Datasets. (2024)

Colin GraberYurii VlasovAlexander Schwing

GOMAVATAR: Efficient Animatable Human Modeling From Monocular Video Using Gaussians-On-Mesh. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Jing WenXiaoming ZhaoZhongzheng RenAlexander G. SchwingShenlong Wang

image representationefficient animatable humanapplied mathematics3d pose estimationmultimedia modelingcomputer graphicsstructure from motionscene modelingcomputational geometrygeometric modelingmultimedia information processingdigital image processingmachine visionimage analysishuman pose estimationhuman modellingcomputer vision

Layer Collaboration in the Forward-Forward Algorithm. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Guy LorberbomItai GatYossi AdiAlexander SchwingTamir Hazan

layer collaborationcomputational intelligencesparse neural networkmachine learning researchmachine learning modelscomputer sciencemachine learningdata sciencechain ruleforward-forward algorithmneural computationneural network (machine learning)

Learning a Global Underwater Geolocalization Model With Sectoral Transformer. Optics Express (2024)

Xiaoyang BaiZhongmin ZhuAlexander SchwingDavid ForsythViktor Gruev

image representationsun polarization patternsmachine learning researchoperational oceanographyunderwater imagingpolarization imagesgeometric learningmachine learninglocalizationdata sciencegeographyearth scienceinformation fusionneural networkconvolutional neural networksdeep learningneural network (machine learning)

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Alexander Gerhard Schwing

Associate Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Alexander Gerhard Schwing is currently serving as an Electrical And Computer Engineering Associate Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Alexander Gerhard Schwing

UIUC

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

3D-Fixup: Advancing Photo Editing With 3D Priors. (2025)

Yen-Chi ChengKrishna Kumar SinghJae Shin YoonAlexander SchwingLiang-Yan GuiMatheus GadelhaPaul GuerreroNanxuan Zhao

computer-aided design3d computer visionapplied mathematicsgraphicsmultimedia modelingphoto editingcomputer graphicscomputational imaging3d reconstructiongeometric modeling3d modelingcomputer vision

MMAUDIO: Taming Multimodal Joint Training for High-Quality Video-To-Audio Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Ho Kei ChengMasato IshiiAkio HayakawaTakashi ShibuyaAlexander SchwingYuki Mitsufuji

MV-Dust3R+: Single-Stage Scene Reconstruction From Sparse Views in 2 Seconds. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Zhenggang TangYuchen FanDilin WangHongyu XuRakesh RanjanAlexander SchwingZhicheng Yan

image representationmulti-view geometrycomputational imagingsingle-stage scene reconstructionscene modeling3d reconstructionmachine visioncomputer visioninverse problems

RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Savya KhoslaSethuraman T VAlexander SchwingDerek Hoiem

image representationsimple training-free baselineimage searchlocalizationdata sciencemachine visioninformation retrievalimage retrievalcomputer vision

Dynamic Organization of Visual Cortical Networks Inferred From Massive Spiking Datasets. (2024)

Colin GraberYurii VlasovAlexander Schwing

Dynamic Organization of Visual Cortical Networks Revealed by Machine Learning Applied to Massive Spiking Datasets. (2024)

Colin GraberYurii VlasovAlexander Schwing

Dynamic Organization of Visual Cortical Networks Revealed by Machine Learning Applied to Massive Spiking Datasets. (2024)

Colin GraberYurii VlasovAlexander Schwing

GOMAVATAR: Efficient Animatable Human Modeling From Monocular Video Using Gaussians-On-Mesh. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Jing WenXiaoming ZhaoZhongzheng RenAlexander G. SchwingShenlong Wang

Layer Collaboration in the Forward-Forward Algorithm. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Guy LorberbomItai GatYossi AdiAlexander SchwingTamir Hazan

Learning a Global Underwater Geolocalization Model With Sectoral Transformer. Optics Express (2024)

Xiaoyang BaiZhongmin ZhuAlexander SchwingDavid ForsythViktor Gruev

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