2018 - IEEE Fellow For contributions to deblurring techniques in computational photography
Jiaya Jia mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Image and Image segmentation. His study in Segmentation, Deblurring, Image restoration, Artificial neural network and Feature extraction is done as part of Artificial intelligence. His Computer vision research is multidisciplinary, incorporating perspectives in Iterative method and Algorithm.
His research in Pattern recognition intersects with topics in Blind deconvolution and Benchmark. His research in the fields of Upsampling overlaps with other disciplines such as Boundary, Coherence, Display resolution and Structure. Jiaya Jia combines subjects such as Pixel and Pascal with his study of Image segmentation.
Jiaya Jia focuses on Artificial intelligence, Computer vision, Image, Pattern recognition and Segmentation. His study in Artificial intelligence concentrates on Pixel, Feature, Feature extraction, Object and Object detection. His work in Object detection covers topics such as Machine learning which are related to areas like Training set.
Image restoration, Image processing, Image segmentation, Motion estimation and Deblurring are the core of his Computer vision study. Jiaya Jia interconnects Artificial neural network and Algorithm in the investigation of issues within Image. His Segmentation research includes themes of Embedding and Inference.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Segmentation, Image and Pattern recognition. His Artificial intelligence study integrates concerns from other disciplines, such as Point and Machine learning. His study in the field of Feature extraction and Voxel also crosses realms of Networking hardware.
The concepts of his Segmentation study are interwoven with issues in Theoretical computer science, Boosting, Benchmark, Kernel and Robustness. He usually deals with Image and limits it to topics linked to Translation and Interpolation. His research integrates issues of Artificial neural network, Inpainting and Normalization in his study of Pattern recognition.
Jiaya Jia mainly investigates Artificial intelligence, Computer vision, Segmentation, Object detection and Image. His work on Feature extraction is typically connected to Generalization as part of general Artificial intelligence study, connecting several disciplines of science. His Computer vision research incorporates elements of Self attention and Robustness.
He focuses mostly in the field of Segmentation, narrowing it down to matters related to Machine learning and, in some cases, Variety. His research investigates the link between Object detection and topics such as Margin that cross with problems in Upsampling. His Deblurring and Image processing study in the realm of Image connects with subjects such as Terminal device and Carry.
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.
Pyramid Scene Parsing Network
Hengshuang Zhao;Jianping Shi;Xiaojuan Qi;Xiaogang Wang.
computer vision and pattern recognition (2017)
High-quality motion deblurring from a single image
Qi Shan;Jiaya Jia;Aseem Agarwala.
international conference on computer graphics and interactive techniques (2008)
Hierarchical Saliency Detection
Qiong Yan;Li Xu;Jianping Shi;Jiaya Jia.
computer vision and pattern recognition (2013)
Image smoothing via L 0 gradient minimization
Li Xu;Cewu Lu;Yi Xu;Jiaya Jia.
international conference on computer graphics and interactive techniques (2011)
Two-phase kernel estimation for robust motion deblurring
Li Xu;Jiaya Jia.
european conference on computer vision (2010)
Jian Sun;Jiaya Jia;Chi-Keung Tang;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2004)
Image completion with structure propagation
Jian Sun;Lu Yuan;Jiaya Jia;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2005)
Unnatural L0 Sparse Representation for Natural Image Deblurring
Li Xu;Shicheng Zheng;Jiaya Jia.
computer vision and pattern recognition (2013)
Deep Convolutional Neural Network for Image Deconvolution
Li Xu;Jimmy S Ren;Ce Liu;Jiaya Jia.
neural information processing systems (2014)
Motion detail preserving optical flow estimation
Li Xu;Jiaya Jia;Yasuyuki Matsushita.
computer vision and pattern recognition (2010)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-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: