Stephen Jay Gould was affiliated with Harvard University in the United States. Their research primarily contributed to the field of computer science, with a substantial focus on computer vision and pattern recognition. They published extensively across various subfields, including artificial intelligence, control and systems engineering, computational mechanics, and computer graphics and computer-aided design.
The scientist's work concentrated on several main topics, such as multimodal machine learning applications, advanced image and video retrieval techniques, domain adaptation and few-shot learning, human pose and action recognition, advanced neural network applications, video surveillance and tracking methods, and anomaly detection techniques and applications.
Their recent published papers included:
Frequent coauthors throughout their career included Liang Zheng, Dylan Campbell, Yizhak Ben-Shabat, Yunzhong Hou, and Weijian Deng.
Stephen Jay Gould's research appeared consistently in several venues. The most frequent publication venues were arXiv (Cornell University), the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Image Processing, and Lecture Notes in Computer Science.
Lloyd Humphreys;Stephen Jay Gould
S. J. Gould;R. C. Lewontin
Stephen Jay Gould
Niles Eldredge;Stephen Jay Gould;T. J. M. Schopf
Stephen Jay Gould;Elisabeth S. Vrba
Stephen Jay Gould
Stephen Jay Gould;Niles Eldredge
Stephen Jay Gould
Pere Alberch;Stephen Jay Gould;George F. Oster;David B. Wake
S J Gould;G A Keller;N Hosken;J Wilkinson
Stephan jay Gould;Niles Eldredge
Stephen J. Gould;Graça Raposo
Stephen Jay Gould
Stephen Jay Gould
Stephen Jay Gould
Stephen Jay Gould
Stephen Jay Gould
Stephen J. Gould;Amy M. Booth;James E. K. Hildreth
B.W. Swinkels;S.J. Gould;A.G. Bodnar;R.A. Rachubinski
Stephen Jay Gould
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