What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Computer vision
C. V. Jawahar mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Natural language processing and Segmentation.
His Artificial intelligence research includes elements of Machine learning and Speech recognition.
The study incorporates disciplines such as Contextual image classification, Object detection and Fuzzy classification in addition to Pattern recognition.
His Computer vision research incorporates elements of Bag-of-words model and Convolutional neural network.
C. V. Jawahar has included themes like Context and Embedding in his Natural language processing study.
C. V. Jawahar combines subjects such as Mutual information, Topology, Orientation, Joint and Gesture with his study of Segmentation.
His most cited work include:
- Scene Text Recognition using Higher Order Language Priors (517 citations)
- Cats and dogs (405 citations)
- Blocks That Shout: Distinctive Parts for Scene Classification (339 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Natural language processing and Information retrieval.
His work on Artificial intelligence is being expanded to include thematically relevant topics such as Machine learning.
His work carried out in the field of Computer vision brings together such families of science as Robot and Robustness.
His Pattern recognition research integrates issues from Contextual image classification and Feature.
His Natural language processing research includes themes of Speech recognition and Optical character recognition.
His Information retrieval course of study focuses on Image retrieval and Search engine indexing and Data mining.
He most often published in these fields:
- Artificial intelligence (75.69%)
- Computer vision (23.88%)
- Pattern recognition (22.17%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (75.69%)
- Natural language processing (20.04%)
- Image (12.79%)
In recent papers he was focusing on the following fields of study:
C. V. Jawahar mainly investigates Artificial intelligence, Natural language processing, Image, Information retrieval and Deep learning.
C. V. Jawahar has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition.
His research integrates issues of Baseline and Reading in his study of Natural language processing.
His research in Information retrieval intersects with topics in Object detection, Key, State and Benchmark.
His study looks at the relationship between Deep learning and fields such as Feature extraction, as well as how they intersect with chemical problems.
His Convolutional neural network research is multidisciplinary, incorporating perspectives in Support vector machine and Computer vision.
Between 2018 and 2021, his most popular works were:
- IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments (50 citations)
- Improved Road Connectivity by Joint Learning of Orientation and Segmentation (43 citations)
- Scene Text Visual Question Answering (39 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Computer vision
The scientist’s investigation covers issues in Artificial intelligence, Natural language processing, Information retrieval, Reading and Segmentation.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His Natural language processing research is multidisciplinary, incorporating elements of Baseline, Representation, Word, Synthetic data and Pattern recognition.
His Information retrieval study integrates concerns from other disciplines, such as Key and State.
The various areas that C. V. Jawahar examines in his Reading study include Question answering, Context, Metric and Set.
His work carried out in the field of Segmentation brings together such families of science as Orientation, Mutual information, Topology and Joint.
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