Faculty

Institution

Unit

Venue

Greg Shakhnarovich

Professor

Toyota Technological Institute at Chicago

Affiliations

Toyota Technological Institute at Chicago

Greg Shakhnarovich is currently serving as a Toyota Technological Institute At Chicago Professor at Toyota Technological Institute At Chicago.

Honors

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Experiences

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Education

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Greg Shakhnarovich

Toyota Technological Institute at Chicago

Professor

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computer vision computer science machine vision machine learning pattern recognition digital image processing natural language processing american sign language sign language linguistics technology applied mathematics deep learning remote sensing computer graphics computational imaging machine translation object recognition animal cognition numerical simulations image representation spoken language technology general linguistics speech communication self-supervised learning 3d vision 3d computer vision scene understanding supervised learning language recognition visual processing computer stereo vision stereoscopic processing depth map content-based image retrieval realistic rendering reflectance modeling volume rendering video processing video super-resolution image segmentation character recognition video understanding intelligent robotics language adaptation motion analysis change detection multimodal translation natural language interfaces natural language vision language model visual question answering multi-view geometry structure from motion score jacobian chaining self-supervised relative depth iterative visual attention multiple cameras full surround monodepth video deblurring pixel consensus voting panoptic segmentation self-supervised camera self-calibration phrase localization discriminative metric learning neighborhood gerrymandering alpha invariance volume density inverse scaling neural radiance fields graphics image communication film vision rehabilitation architectural design art virtual reality visualization multimedia retrieval computer-aided design multimedia information processing scenic design visual system cognitive science image analysis data and information visualization extended reality art research digital earth human-computer interaction screen medium geometric modeling eye tracking cartography visual arts intelligent systems architecture information visualization visual perception graphic interface intelligent computing visual culture design art education multimedia modeling visual science digital art architectural research interaction design architectural science

Notable Scholarly Works

Notable Federal Grants

Collaborators

Cross-Modal Taxonomic Generalization in (Vision-) Language Models. Open MIND (2026)

semanticsvisual question answeringgeneral linguisticsvision language modellanguage

Targeted Linguistic Analysis of Sign Language Models With Minimal Translation Pairs. arXiv (Cornell University) (2026)

computational linguisticsamerican sign languagelinguisticsmachine translationlanguage technologieslanguagesign language

FASTMAP: Revisiting Structure From Motion Through First-Order Optimization. ArXiv.org (2025)

multi-view geometrycomputer sciencemachine visionstructure from motionrevisiting structurecomputer vision

OMNISHAPE: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. (2025)

SHUBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction. (2025)

SIGNMUSKETEERS: An Efficient Multi-Stream Approach for Sign Language Translation at Scale. (2025)

SPLART: Articulation Estimation and Part-Level Reconstruction With 3D Gaussian Splatting. ArXiv.org (2025)

deformation reconstructionapplied mathematicsshape modelingcomputer graphicsarticulation estimationcomputational imaging3d reconstructiongeometric modelingdigital image processingradiologyimage analysismachine visionreconstruction techniquescomputer visioninverse problems

Zero-Shot Novel View and Depth Synthesis With Multi-View Geometric Diffusion. (2025)

Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Joshua AhnHaochen WangRaymond A. YehGreg Shakhnarovich

inverse scalingmachine learningneurosciencecomputational neurosciencevolume densityneural radiance fieldsalpha invariance

Generative Models: What Do They Know? Do They Know Things? Let's Find out!. arXiv (Cornell University) (2023)

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Greg Shakhnarovich

Professor

Toyota Technological Institute at Chicago

Affiliations

Toyota Technological Institute at Chicago

Greg Shakhnarovich is currently serving as a Toyota Technological Institute At Chicago Professor at Toyota Technological Institute At Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Greg Shakhnarovich

Toyota Technological Institute at Chicago

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Cross-Modal Taxonomic Generalization in (Vision-) Language Models. Open MIND (2026)

semanticsvisual question answeringgeneral linguisticsvision language modellanguage

Targeted Linguistic Analysis of Sign Language Models With Minimal Translation Pairs. arXiv (Cornell University) (2026)

computational linguisticsamerican sign languagelinguisticsmachine translationlanguage technologieslanguagesign language

FASTMAP: Revisiting Structure From Motion Through First-Order Optimization. ArXiv.org (2025)

multi-view geometrycomputer sciencemachine visionstructure from motionrevisiting structurecomputer vision

OMNISHAPE: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. (2025)

SHUBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction. (2025)

SIGNMUSKETEERS: An Efficient Multi-Stream Approach for Sign Language Translation at Scale. (2025)

SPLART: Articulation Estimation and Part-Level Reconstruction With 3D Gaussian Splatting. ArXiv.org (2025)

Zero-Shot Novel View and Depth Synthesis With Multi-View Geometric Diffusion. (2025)

Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Joshua AhnHaochen WangRaymond A. YehGreg Shakhnarovich

inverse scalingmachine learningneurosciencecomputational neurosciencevolume densityneural radiance fieldsalpha invariance

Generative Models: What Do They Know? Do They Know Things? Let's Find out!. arXiv (Cornell University) (2023)

1
2
3
4
5
10 / page