His main research concerns Artificial intelligence, Pattern recognition, Segmentation, Computer vision and Image segmentation. His research integrates issues of Machine learning and Natural language processing in his study of Artificial intelligence. His study in the field of Classifier also crosses realms of Equivalence of metrics.
His study focuses on the intersection of Segmentation and fields such as Voxel with connections in the field of Video processing and Context. His work on Pixel as part of general Computer vision research is often related to Deformation, Coronary artery bypass surgery and Parametric equation, thus linking different fields of science. His research on Image segmentation also deals with topics like
His scientific interests lie mostly in Artificial intelligence, Computer vision, Segmentation, Pattern recognition and Machine learning. His work in Object, Image, Robot, Object detection and Image segmentation is related to Artificial intelligence. His research investigates the connection between Image segmentation and topics such as Graph that intersect with problems in Algorithm.
His Computer vision research is multidisciplinary, incorporating elements of Robotics and Mobile robot. His Segmentation research includes themes of Voxel and Task. His Pattern recognition study combines topics in areas such as Contextual image classification and Feature.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Object, Pattern recognition and Segmentation. Pattern recognition is closely connected to Machine learning in his research, which is encompassed under the umbrella topic of Artificial intelligence. Jason J. Corso combines subjects such as Robot kinematics, Mobile robot, Leverage and Benchmark with his study of Computer vision.
The various areas that Jason J. Corso examines in his Object study include Feature, Task and Bounding overwatch. His Pattern recognition research includes elements of Salient and Standard test image. His Image segmentation study, which is part of a larger body of work in Segmentation, is frequently linked to Reliability, bridging the gap between disciplines.
Jason J. Corso mostly deals with Artificial intelligence, Computer vision, Closed captioning, Pattern recognition and Object. His Artificial intelligence study frequently draws connections between adjacent fields such as Natural language processing. Jason J. Corso works mostly in the field of Closed captioning, limiting it down to topics relating to Transformer and, in certain cases, Decoding methods, End-to-end principle and Speech recognition.
His study on Discriminative model is often connected to Generalization as part of broader study in Pattern recognition. His work in Object addresses issues such as Benchmark, which are connected to fields such as Motion. He does research in Segmentation, focusing on Image segmentation specifically.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer.
IEEE Transactions on Medical Imaging (2015)
Action bank: A high-level representation of activity in video
Sreemanananth Sadanand;Jason J. Corso.
computer vision and pattern recognition (2012)
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
J.J. Corso;E. Sharon;S. Dube;S. El-Saden.
IEEE Transactions on Medical Imaging (2008)
Streaming hierarchical video segmentation
Chenliang Xu;Caiming Xiong;Jason J. Corso.
european conference on computer vision (2012)
Evaluation of super-voxel methods for early video processing
Chenliang Xu;Jason J. Corso.
computer vision and pattern recognition (2012)
A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching
Pradipto Das;Chenliang Xu;Richard F. Doell;Jason J. Corso.
computer vision and pattern recognition (2013)
Jointly modeling deep video and compositional text to bridge vision and language in a unified framework
Ran Xu;Caiming Xiong;Wei Chen;Jason J. Corso.
national conference on artificial intelligence (2015)
Towards Automatic Learning of Procedures From Web Instructional Videos.
Luowei Zhou;Chenliang Xu;Jason J. Corso.
national conference on artificial intelligence (2018)
Stereo-Based Endoscopic Tracking of Cardiac Surface Deformation
William W. Lau;Nicholas A. Ramey;Jason J. Corso;Nitish V. Thakor.
medical image computing and computer assisted intervention (2004)
End-to-End Dense Video Captioning with Masked Transformer
Luowei Zhou;Yingbo Zhou;Jason J. Corso;Richard Socher.
computer vision and pattern recognition (2018)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: