2022 - Research.com Computer Science in South Korea Leader Award
In So Kweon mainly investigates Artificial intelligence, Computer vision, Convolutional neural network, Pattern recognition and Pixel. His works in Image, Feature extraction, RGB color model, Image segmentation and Object detection are all subjects of inquiry into Artificial intelligence. His research on Computer vision often connects related topics like Mobile robot.
His work carried out in the field of Convolutional neural network brings together such families of science as Artificial neural network, Inpainting, Feature learning and Code. His Pattern recognition research is multidisciplinary, incorporating elements of Histogram, Pascal, Feature and Canny edge detector. His Pixel research incorporates elements of High dynamic range, Specular highlight, Hue, Matrix completion and Specularity.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Pattern recognition, Robustness and Image. His study in Feature extraction, Pixel, Cognitive neuroscience of visual object recognition, Convolutional neural network and Mobile robot is done as part of Artificial intelligence. Mobile robot navigation is the focus of his Mobile robot research.
His research on Computer vision frequently connects to adjacent areas such as Robot. As part of his studies on Pattern recognition, In So Kweon often connects relevant subjects like Feature.
In So Kweon mostly deals with Artificial intelligence, Computer vision, Deep learning, Robustness and Segmentation. His biological study spans a wide range of topics, including Machine learning and Pattern recognition. His study in Object, Depth map, Inpainting, Pixel and Motion estimation is carried out as part of his studies in Computer vision.
His studies in Deep learning integrate themes in fields like Artificial neural network, Information hiding, Feature and Network architecture. The study incorporates disciplines such as Normalization, Data mining, Feature and Feature extraction in addition to Robustness. In his study, which falls under the umbrella issue of Segmentation, Complement and Boundary representation is strongly linked to Basis.
In So Kweon mainly focuses on Artificial intelligence, Computer vision, Deep learning, Machine learning and Convolutional neural network. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Task and Pattern recognition. When carried out as part of a general Pattern recognition research project, his work on Pattern recognition is frequently linked to work in Compression artifact, therefore connecting diverse disciplines of study.
He combines topics linked to Unsupervised learning with his work on Computer vision. In So Kweon has researched Deep learning in several fields, including Network architecture, Sequence and Image, Inpainting. His work carried out in the field of Convolutional neural network brings together such families of science as Depth map, Iterative reconstruction and Sum of absolute differences.
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CBAM: Convolutional Block Attention Module
Sanghyun Woo;Jongchan Park;Joon-Young Lee;In So Kweon.
european conference on computer vision (2018)
Adaptive support-weight approach for correspondence search
Kuk-Jin Yoon;In So Kweon.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)
High quality depth map upsampling for 3D-TOF cameras
Jaesik Park;Hyeongwoo Kim;Yu-Wing Tai;Michael S. Brown.
international conference on computer vision (2011)
A Tensor-Based Algorithm for High-Order Graph Matching
O. Duchenne;F. Bach;In-So Kweon;Jean Ponce.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)
Accurate depth map estimation from a lenslet light field camera
Hae-Gon Jeon;Jaesik Park;Gyeongmin Choe;Jinsun Park.
computer vision and pattern recognition (2015)
Multispectral pedestrian detection: Benchmark dataset and baseline
Soonmin Hwang;Jaesik Park;Namil Kim;Yukyung Choi.
computer vision and pattern recognition (2015)
Locally adaptive support-weight approach for visual correspondence search
Kuk-Jin Yoon;In-So Kweon.
computer vision and pattern recognition (2005)
High resolution terrain map from multiple sensor data
I.S. Kweon;T. Kanade.
intelligent robots and systems (1990)
Terrain mapping for a roving planetary explorer
M. Herbert;C. Caillas;E. Krotkov;I.S. Kweon.
international conference on robotics and automation (1989)
Extracting topographic terrain features from elevation maps
In So Kweon;Takeo Kanade.
Cvgip: Image Understanding (1994)
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