Faculty

Institution

Unit

Venue

Narendra Ahuja

Research Professor

UIUC

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 Uiuc.

Honors

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Experiences

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Education

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Narendra Ahuja

UIUC

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 intelligent interfaces design intelligent robot robotics technology intelligent systems industrial automation advanced intelligent system

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

linguisticsnatural language generationautomatic annotation tooldata annotationpartial annotationssemantic evaluationdata sciencelanguageautomatic annotationannotation toolpattern recognitionmachine learning

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

Shubhang BhatnagarNarendra Ahuja

geometric learningdeep learningdeep metric learningneural network (machine learning)machine learning researchcomputational intelligencedata scienceapplied mathematicsmachine 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

computer sciencecomputer visiondeep learningdomain adaptationood object segmentationda segmentationood segmentationmachine learning researchzero-shot learningdata sciencemachine visionmachine learning

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

Samyak RawlekarShubhang BhatnagarVishnuvardhan Pogunulu SrinivasuluNarendra Ahuja

information fusioncomputer scienceautomatic classificationclassification methodmachine learning researchdata scienceclass co-occurrence probabilitiespattern recognitionmachine learning

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

Zhang, HaoLi, FangRawlekar, SamyakAhuja, Narendra

scene modelingimplicit skeletal representationcomputer vision3d computer visionarticulated objectkinesiologyimage representationmachine visionimplicit representationgeometric modeling3d pose estimation

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

artificial intelligenceexperimental botanycomputer visionstomatal patterningbotanybiologydigital image processingmachine learning researchbioimage analysisdata sciencemachine visionimage classificationplant scienceimage analysisphenomicspattern recognitionmachine learning

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

Zhang, HaoChang, DiLi, FangSoleymani, MohammadAhuja, Narendra

3d reconstructioncrafting articulated modelscomputer visiongeometric modelingreconstruction modulecontent generationimage representationmachine visioncomputer-aided design3d pose estimation

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

out-of-hospital emergency medical servicerespiration (physiology)emergency department patientsrespiratory medicineinterstitial lung diseasepatient monitoringphysiological measurementsintensive carespeech recognitionemergency medicinecritical care

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

Hao ZhangFang LiNarendra Ahuja

computer science3d visionscene modelingcomputer visiondeep learningnerf decomposition3d computer visionmultimedia information processingmultimedia retrievalopen vocabularyobject manipulation3d object recognitionmachine visionimage representationscene understandingmachine learning

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

Bhatnagar, ShubhangAhuja, Narendra

computer sciencegeometric learningknowledge discoverydeep learningdeep metric learningfeature learningpiecewise-linear manifoldneural network (machine learning)piecewise-linear manifoldsmachine learning researchmanifold learningdata scienceimage representationimage analysismachine learning

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Narendra Ahuja

Research Professor

UIUC

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 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

Narendra Ahuja

UIUC

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

geometric learningdeep learningdeep metric learningneural network (machine learning)machine learning researchcomputational intelligencedata scienceapplied mathematicsmachine 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

information fusioncomputer scienceautomatic classificationclassification methodmachine learning researchdata scienceclass co-occurrence probabilitiespattern recognitionmachine learning

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

3d reconstructioncrafting articulated modelscomputer visiongeometric modelingreconstruction modulecontent generationimage representationmachine visioncomputer-aided design3d pose estimation

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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