Faculty

Institution

Unit

Venue

Narendra Ahuja

Research Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Narendra Ahuja is currently serving as a Siebel School Of Computing And Data Science Research Professor at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Narendra Ahuja

University of Illinois Urbana-Champaign

Research Professor

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image analysis computer vision machine vision digital image processing image representation computer science computational imaging pattern recognition data science computer graphics applied mathematics machine learning geometric modeling computational geometry image segmentation motion analysis multimedia information processing machine learning research structure from motion graphics multi-view geometry multimedia modeling computer engineering medical image computing computer stereo vision 3d vision geometry processing video processing motion detection object detection 3d reconstruction stereoscopic processing stereo imaging scene understanding computer-aided design object tracking multimedia retrieval multimedia computing edge detection object recognition 3d computer vision information fusion image classification video understanding image similarity texture analysis scene analysis feature detection camera calibration multimedia systems visual science facial recognition system 3d pose estimation face detection geometric algorithms tracking systems moving object tracking video coding format segmentation tree mathematical optimization autonomous robots dot patterns mosaic models object segmentation planar surface line correspondences visual tracking octree generation structure estimation multiscale segmentation face recognition bilateral filter snow learning architecture fast scheme multiscale image segmentation active vision system industrial automation intelligent systems advanced intelligent system intelligent interfaces technology intelligent robot design robotics

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

POSITIVECOOP: Rethinking Prompting Strategies for Multi-Label Recognition With Partial Annotations. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2025)

Samyak RawlekarShubhang BhatnagarNarendra Ahuja

annotation toolsemantic evaluationautomatic annotation toolpartial annotationspattern recognitiondata sciencelanguageautomatic annotationmachine learninglinguisticsdata annotationnatural language generation

Potential Field Based Deep Metric Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Shubhang BhatnagarNarendra Ahuja

neural network (machine learning)deep metric learninggeometric learningdeep learningmachine learning researchdata scienceapplied mathematicscomputational intelligencemachine learning

CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Hao ZhangFang LiLu QiMing-Hsuan YangNarendra Ahuja

ood object segmentationda segmentationmachine learningdomain adaptationcomputer visiondeep learningood segmentationmachine visionmachine learning researchzero-shot learningdata sciencecomputer science

Improving Multi-Label Recognition Using Class Co-Occurrence Probabilities. Lecture notes in computer science (2024)

Samyak RawlekarShubhang BhatnagarVishnuvardhan Pogunulu SrinivasuluNarendra Ahuja

machine learningclass co-occurrence probabilitiesclassification methodpattern recognitionmachine learning researchdata scienceautomatic classificationcomputer scienceinformation fusion

Learning Implicit Representation for Reconstructing Articulated Objects. arXiv (Cornell University) (2024)

Zhang, HaoLi, FangRawlekar, SamyakAhuja, Narendra

implicit skeletal representationkinesiologycomputer visionarticulated object3d computer visionmachine vision3d pose estimationimage representationscene modelingimplicit representationgeometric modeling

Machine Learning-Enabled Computer Vision for Plant Phenotyping: A Primer on AI/ML and Case Study on Stomatal Patterning. Journal of Experimental Botany (2024)

Grace D TanUshasi ChaudhuriSebastian VarelaNarendra AhujaAndrew D B Leakey

experimental botanyphenomicscomputer visionbiologyimage classificationartificial intelligencemachine visiondigital image processingimage analysisdata sciencepattern recognitionplant sciencemachine learning researchbotanymachine learningstomatal patterningbioimage analysis

MAGICPOSE4D: Crafting Articulated Models With Appearance and Motion Control. arXiv (Cornell University) (2024)

Zhang, HaoChang, DiLi, FangSoleymani, MohammadAhuja, Narendra

computer-aided design3d reconstructionreconstruction modulecrafting articulated modelscomputer visionmachine vision3d pose estimationcontent generationimage representationgeometric modeling

Multimodal Respiratory Rate Estimation From Audio and Video in Emergency Department Patients. IEEE Journal of Translational Engineering in Health and Medicine (2024)

John HarvillMoitreya ChatterjeeShaveta KhoslaMustafa AlamNarendra AhujaMark Hasegawa-JohnsonDavid ChestekDavid G. Beiser

respiration (physiology)out-of-hospital emergency medical serviceemergency medicinepatient monitoringspeech recognitionrespiratory medicineintensive carecritical careinterstitial lung diseasephysiological measurementsemergency department patients

Open-Nerf: Towards Open Vocabulary Nerf Decomposition. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Hao ZhangFang LiNarendra Ahuja

object manipulationmachine learningmultimedia retrievalcomputer visionmultimedia information processing3d computer visiondeep learningnerf decomposition3d object recognitionmachine visionopen vocabularyscene understandingimage representationscene modelingcomputer science3d vision

Piecewise-Linear Manifolds for Deep Metric Learning. arXiv (Cornell University) (2024)

Bhatnagar, ShubhangAhuja, Narendra

manifold learningneural network (machine learning)deep metric learninggeometric learningdeep learningfeature learningmachine learning researchimage analysisdata scienceknowledge discoveryimage representationpiecewise-linear manifoldsmachine learningpiecewise-linear manifoldcomputer science

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Narendra Ahuja

Research Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Narendra Ahuja is currently serving as a Siebel School Of Computing And Data Science Research Professor 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

Narendra Ahuja

University of Illinois Urbana-Champaign

Research Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

POSITIVECOOP: Rethinking Prompting Strategies for Multi-Label Recognition With Partial Annotations. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2025)

Samyak RawlekarShubhang BhatnagarNarendra Ahuja

Potential Field Based Deep Metric Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Shubhang BhatnagarNarendra Ahuja

neural network (machine learning)deep metric learninggeometric learningdeep learningmachine learning researchdata scienceapplied mathematicscomputational intelligencemachine learning

CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Hao ZhangFang LiLu QiMing-Hsuan YangNarendra Ahuja

Improving Multi-Label Recognition Using Class Co-Occurrence Probabilities. Lecture notes in computer science (2024)

Samyak RawlekarShubhang BhatnagarVishnuvardhan Pogunulu SrinivasuluNarendra Ahuja

machine learningclass co-occurrence probabilitiesclassification methodpattern recognitionmachine learning researchdata scienceautomatic classificationcomputer scienceinformation fusion

Learning Implicit Representation for Reconstructing Articulated Objects. arXiv (Cornell University) (2024)

Zhang, HaoLi, FangRawlekar, SamyakAhuja, Narendra

Machine Learning-Enabled Computer Vision for Plant Phenotyping: A Primer on AI/ML and Case Study on Stomatal Patterning. Journal of Experimental Botany (2024)

Grace D TanUshasi ChaudhuriSebastian VarelaNarendra AhujaAndrew D B Leakey

MAGICPOSE4D: Crafting Articulated Models With Appearance and Motion Control. arXiv (Cornell University) (2024)

Zhang, HaoChang, DiLi, FangSoleymani, MohammadAhuja, Narendra

computer-aided design3d reconstructionreconstruction modulecrafting articulated modelscomputer visionmachine vision3d pose estimationcontent generationimage representationgeometric modeling

Multimodal Respiratory Rate Estimation From Audio and Video in Emergency Department Patients. IEEE Journal of Translational Engineering in Health and Medicine (2024)

John HarvillMoitreya ChatterjeeShaveta KhoslaMustafa AlamNarendra AhujaMark Hasegawa-JohnsonDavid ChestekDavid G. Beiser

Open-Nerf: Towards Open Vocabulary Nerf Decomposition. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Hao ZhangFang LiNarendra Ahuja

Piecewise-Linear Manifolds for Deep Metric Learning. arXiv (Cornell University) (2024)

Bhatnagar, ShubhangAhuja, Narendra

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communication

persuasion behaviors

Minh N Do

Institution

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biomedical computing

Jean Ponce

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computer graphic technique

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robotics perception

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Noah Snavely

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immersive technologies

Bir Bhanu

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intelligent systems

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predictive learning