Faculty

Institution

Unit

Venue

Joohee Kim

Associate Professor of Electrical and Computer Engineering

Illinois Institute of Technology

Affiliations

Armour College of Engineering

Electrical and Computer Engineering

Joohee Kim is currently serving as an Armour College Of Engineering Associate Professor of Electrical and Computer Engineering at Illinois Institute of Technology.

Honors

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Experiences

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Education

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Joohee Kim

Illinois Institute of Technology

Associate Professor of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

computer vision computer science machine learning deep learning pattern recognition machine vision image segmentation object detection 3d computer vision communication systems engineering wireless communications information technology video coding format pedestrian detection applied mathematics communications systems video processing scene analysis 3d vision data compression wireless sensor networks video transmission image coding depth map image compression scene understanding video object detection semantic segmentation network analysis information retrieval multimedia computing information fusion sensor technology sensor design distributed sensing unequal error protection multiple description coding multi-view video internet video applications interest generation semi-global matching image communication mobile computing soft computing image representation networked system design scientific computing urban geography digestive endoscopy multimedia information processing electronics biomedical imaging multimedia security image transmission internet security mobile communication streaming algorithms refinement technique spatio-temporal models applied artificial intelligence convolutional neural networks visual communication computer stereo vision high-speed networking image reconstruction acupuncture compressive sensing high performance computing error-resilient image error-prone networks backward attention filtering location-aware deformable convolution multi-resolution anisotropic diffusion real-time refinement kinect depth maps multimedia modeling video communication 3d video technology image analysis

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bevfusion With Dual Hard Instance Probing for Multimodal 3D Object Detection. IEEE Access (2025)

Taeho KimJoohee Kim

information fusioncomputer sciencecomputer visiondeep learning3d computer visiontechnologyscene understandingbiomedical imagingcomputational imagingobject detectioncomputer engineeringobject recognition3d object recognitionmachine visiondual hard instanceimage analysispattern recognitionmachine learning

Efficient Multi-Task Training With Adaptive Feature Alignment for Universal Image Segmentation. Sensors (2025)

Yipeng QuJoohee Kim

sensorscomputer scienceimage segmentationefficient multi-task trainingadaptive feature alignmentuniversal image segmentation

EMSFOMER: Efficient Multi-Scale Transformer for Real-Time Semantic Segmentation. IEEE Access (2025)

Zhengyu XiaJoohee Kim.

information fusioncomputer scienceimage segmentationcomputer visiondeep learningscene understandingcomputational imagingcomputer engineeringdigital image processingefficient multi-scale transformerreal-time applicationdata sciencemachine visioninformation technologyimage analysisreal-time semantic segmentationmachine learning

Enhancing Query Formulation for Universal Image Segmentation. Sensors (2024)

Yipeng QuJoohee Kim

image segmentationcomputer sciencequery formulationinformation retrievaluniversal image segmentation

Enhancing Mask Transformer With Auxiliary Convolution Layers for Semantic Segmentation. Sensors (2023)

Zhengyu XiaJoohee Kim

auxiliary convolution layerscomputer sciencecomputer visiondeep learningsemantic segmentationmask transformersensor technologymachine learningsensor design

Enhancing Semantically Masked Transformer With Local Attention for Semantic Segmentation. IEEE Access (2023)

Zhengyu XiaJoohee Kim

image segmentationcomputer sciencecomputer visiondeep learningsemantic segmentationlocal attentionmachine visioninformation technologypattern recognitionmachine learning

Voxel Transformer With Density-Aware Deformable Attention for 3D Object Detection. Sensors (2023)

Taeho KimJoohee Kim

sensorsdensity-aware deformable attentionsensor arrayscomputer visiondeep learning3d computer visiontechnologymachine visionsensor technologymachine learningsensor design

Improving Object Detection Using Weakly-Annotated Auxiliary Multi-Label Segmentation. IEEE Access (2021)

Zhengyu XiaChen ZhangJoohee Kim

image segmentationcomputer sciencecomputer visiondeep learningobject detectionelectrical engineeringinformation technologypattern recognitionmachine learning

Video Object Detection Using Event-Aware Convolutional LSTM and Object Relation Networks. Electronics (2021)

Chen ZhangZhengyu XiaJoohee Kim

video object detectioncomputer scienceevent-aware convolutional lstmcomputer visiondeep learningobject detectionelectrical engineeringobject relation networksmachine visionelectronicspattern recognitionmachine learning

Mixed Spatial Pyramid Pooling for Semantic Segmentation. Applied Soft Computing (2020)

Zhengyu XiaJoohee Kim

computer scienceapplied artificial intelligencecomputer visiondeep learningsemantic segmentationsoft computingmachine learning

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Joohee Kim

Associate Professor of Electrical and Computer Engineering

Illinois Institute of Technology

Affiliations

Armour College of Engineering

Electrical and Computer Engineering

Joohee Kim is currently serving as an Armour College Of Engineering Associate Professor of Electrical and Computer Engineering at Illinois Institute of Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Joohee Kim

Illinois Institute of Technology

Associate Professor of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bevfusion With Dual Hard Instance Probing for Multimodal 3D Object Detection. IEEE Access (2025)

Taeho KimJoohee Kim

Efficient Multi-Task Training With Adaptive Feature Alignment for Universal Image Segmentation. Sensors (2025)

Yipeng QuJoohee Kim

sensorscomputer scienceimage segmentationefficient multi-task trainingadaptive feature alignmentuniversal image segmentation

EMSFOMER: Efficient Multi-Scale Transformer for Real-Time Semantic Segmentation. IEEE Access (2025)

Zhengyu XiaJoohee Kim.

Enhancing Query Formulation for Universal Image Segmentation. Sensors (2024)

Yipeng QuJoohee Kim

image segmentationcomputer sciencequery formulationinformation retrievaluniversal image segmentation

Enhancing Mask Transformer With Auxiliary Convolution Layers for Semantic Segmentation. Sensors (2023)

Zhengyu XiaJoohee Kim

auxiliary convolution layerscomputer sciencecomputer visiondeep learningsemantic segmentationmask transformersensor technologymachine learningsensor design

Enhancing Semantically Masked Transformer With Local Attention for Semantic Segmentation. IEEE Access (2023)

Zhengyu XiaJoohee Kim

image segmentationcomputer sciencecomputer visiondeep learningsemantic segmentationlocal attentionmachine visioninformation technologypattern recognitionmachine learning

Voxel Transformer With Density-Aware Deformable Attention for 3D Object Detection. Sensors (2023)

Taeho KimJoohee Kim

sensorsdensity-aware deformable attentionsensor arrayscomputer visiondeep learning3d computer visiontechnologymachine visionsensor technologymachine learningsensor design

Improving Object Detection Using Weakly-Annotated Auxiliary Multi-Label Segmentation. IEEE Access (2021)

Zhengyu XiaChen ZhangJoohee Kim

image segmentationcomputer sciencecomputer visiondeep learningobject detectionelectrical engineeringinformation technologypattern recognitionmachine learning

Video Object Detection Using Event-Aware Convolutional LSTM and Object Relation Networks. Electronics (2021)

Chen ZhangZhengyu XiaJoohee Kim

Mixed Spatial Pyramid Pooling for Semantic Segmentation. Applied Soft Computing (2020)

Zhengyu XiaJoohee Kim

computer scienceapplied artificial intelligencecomputer visiondeep learningsemantic segmentationsoft computingmachine learning

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Similar Faculty Members

Hari Kalva

Institution

Florida Atlantic University

3d video

video compression

Rashid Ansari

Institution

University of Illinois Chicago

video coding format

wavelet

Dan Schonfeld

Institution

University of Illinois Chicago

pattern recognition

video content analysis

Zhisheng Yan

Institution

George Mason University

video systems

immersive technologies

Avideh Zakhor

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University of California, Berkeley

computer science

geometric modeling

Patrick Seeling

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educational technology

education

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Ali Akansu

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information technology

signal detection

Zixiang Xiong

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computer engineering

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signal processing

data communication