What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Computer vision
Thomas Serre focuses on Artificial intelligence, Cognitive neuroscience of visual object recognition, Pattern recognition, Machine learning and Computer vision.
In his papers, Thomas Serre integrates diverse fields, such as Artificial intelligence and Face detection.
His Cognitive neuroscience of visual object recognition research integrates issues from Feature, Categorization, Psychophysics, Visual cortex and Robustness.
His study in the field of Classifier also crosses realms of Feed forward.
His biological study spans a wide range of topics, including Behavioural phenotyping and Bioinformatics.
His Computer vision research includes themes of Temporal cortex, Activity recognition and Database.
His most cited work include:
- HMDB: A large video database for human motion recognition (2053 citations)
- Robust Object Recognition with Cortex-Like Mechanisms (1473 citations)
- Object recognition with features inspired by visual cortex (787 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Pattern recognition, Cognitive neuroscience of visual object recognition, Computer vision and Machine learning.
He combines topics linked to Visual cortex with his work on Artificial intelligence.
His research investigates the link between Pattern recognition and topics such as Object detection that cross with problems in Feature extraction.
As part of one scientific family, Thomas Serre deals mainly with the area of Cognitive neuroscience of visual object recognition, narrowing it down to issues related to the Visual processing, and often Human visual system model.
Thomas Serre has researched Computer vision in several fields, including Temporal cortex, Leverage and Eye movement.
His work carried out in the field of Machine learning brings together such families of science as Visual recognition, Generative grammar and Bayesian inference.
He most often published in these fields:
- Artificial intelligence (77.11%)
- Pattern recognition (30.12%)
- Cognitive neuroscience of visual object recognition (28.31%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (77.11%)
- Artificial neural network (13.86%)
- Deep learning (8.43%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Artificial neural network, Deep learning, Perception and Visual reasoning.
His research integrates issues of Machine learning and Computer vision in his study of Artificial intelligence.
His study in Artificial neural network is interdisciplinary in nature, drawing from both Cognitive science, Convolutional neural network, Visual cortex and Machine vision.
His Visual cortex research is multidisciplinary, relying on both Visual perception and Visual processing.
His Deep learning study integrates concerns from other disciplines, such as Computational neuroscience, Cognitive neuroscience of visual object recognition and Artificial vision.
Thomas Serre studied Visual reasoning and Working memory that intersect with Computational model, Categorization, Electroencephalography and Cognitive psychology.
Between 2018 and 2021, his most popular works were:
- Deep Learning: The Good, the Bad, and the Ugly. (72 citations)
- Early life stress leads to sex differences in development of depressive-like outcomes in a mouse model. (63 citations)
- Beyond the feedforward sweep: feedback computations in the visual cortex (8 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Artificial neural network
His primary areas of investigation include Artificial neural network, Artificial intelligence, Perception, Deep learning and Visual cortex.
His Artificial neural network study combines topics from a wide range of disciplines, such as Cognitive neuroscience of visual object recognition, Computational neuroscience, Boundary, Artificial vision and Illusion.
Thomas Serre works in the field of Artificial intelligence, namely Object.
In the field of Perception, his study on Gestalt psychology overlaps with subjects such as Stress.
His studies deal with areas such as Algorithm and Magnification as well as Deep learning.
His Visual cortex study combines topics in areas such as Visual processing, Visual perception, Visual reasoning and Convolutional neural network, Pattern recognition.
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