2012 - IEEE Fellow For contributions to computer vision and graphics
2008 - ACM Senior Member
His primary areas of study are Artificial intelligence, Computer vision, Ubiquitous computing, Activity recognition and Robustness. His research integrates issues of Machine learning and Pattern recognition in his study of Artificial intelligence. His Computer vision study incorporates themes from Animation, Computer graphics and Facial expression.
The various areas that he examines in his Ubiquitous computing study include Wearable computer, Living lab and Engineering management. His Activity recognition study integrates concerns from other disciplines, such as Smartwatch, Simulation and Applied psychology. Irfan Essa has researched Motion estimation in several fields, including Motion, Smart camera and Facial Action Coding System.
Irfan Essa mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Segmentation. His Artificial intelligence research is multidisciplinary, incorporating elements of Speech recognition and Natural language processing. His Computer vision research is multidisciplinary, relying on both Facial expression and Computer graphics.
His study in Animation, Computer animation, Rendering and Image-based modeling and rendering falls under the purview of Computer graphics. His Computer animation research is mostly focused on the topic Computer facial animation. His Pattern recognition research incorporates elements of Contextual image classification and Pixel.
Irfan Essa focuses on Artificial intelligence, Machine learning, Task, Activity recognition and Robot. His Artificial intelligence research incorporates themes from Computer vision and Pattern recognition. Irfan Essa has included themes like Frame and Semantic mapping in his Computer vision study.
His Machine learning study combines topics in areas such as Adversarial system, Generative grammar and Discriminator. His work in Activity recognition addresses issues such as Unsupervised learning, which are connected to fields such as Frame, High-motion, Transfer of learning, Spatial contextual awareness and Context. His work carried out in the field of Robot brings together such families of science as Assisted GPS and Reinforcement learning.
Artificial intelligence, Dialog box, Task, Human–computer interaction and Audio visual are his primary areas of study. His work deals with themes such as Context, Machine learning and Computer vision, which intersect with Artificial intelligence. Irfan Essa has included themes like Adversarial system and Discriminator in his Machine learning study.
His Motion analysis and Discrete cosine transform study in the realm of Computer vision connects with subjects such as Knot tying and Predictability. In his study, Point cloud, Embodied cognition, Deep learning, Feature extraction and The Internet is inextricably linked to Question answering, which falls within the broad field of Human–computer interaction. His Audio visual research is multidisciplinary, incorporating elements of Benchmark and Natural language processing.
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Graphcut textures: image and video synthesis using graph cuts
Vivek Kwatra;Arno Schödl;Irfan Essa;Greg Turk.
international conference on computer graphics and interactive techniques (2003)
The Aware Home: A Living Laboratory for Ubiquitous Computing Research
Cory D. Kidd;Robert Orr;Gregory D. Abowd;Christopher G. Atkeson.
Lecture Notes in Computer Science (1999)
Coding, analysis, interpretation, and recognition of facial expressions
I.A. Essa;A.P. Pentland.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1997)
Efficient hierarchical graph-based video segmentation
Matthias Grundmann;Vivek Kwatra;Mei Han;Irfan Essa.
computer vision and pattern recognition (2010)
Texture optimization for example-based synthesis
Vivek Kwatra;Irfan Essa;Aaron Bobick;Nipun Kwatra.
international conference on computer graphics and interactive techniques (2005)
Arno Schödl;Richard Szeliski;David H. Salesin;Irfan Essa.
international conference on computer graphics and interactive techniques (2000)
Exploiting human actions and object context for recognition tasks
D.J. Moore;I.A. Essa;M.H. Hayes.
international conference on computer vision (1999)
Facial expression recognition using a dynamic model and motion energy
I.A. Essa;A.P. Pentland.
international conference on computer vision (1995)
Auto-directed video stabilization with robust L1 optimal camera paths
Matthias Grundmann;Vivek Kwatra;Irfan Essa.
computer vision and pattern recognition (2011)
Image and video based painterly animation
James Hays;Irfan Essa.
non-photorealistic animation and rendering (2004)
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