An Integrated Environment for Design Verification of ATE Systems. - Hamidreza Hashempour; Fabrizio Lombardi; Warren Necoechea; Rakesh Mehta; Tim Alton (IEEE Trans. Instrum. Meas., 2007)

Local polynomial approximation-local binary pattern (LPA-LBP) based face classification. - Rakesh Mehta; Jirui Yuan; Karen O. Egiazarian (Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems, 2011)

Rotated Local Binary Pattern (RLBP) - Rotation Invariant Texture Descriptor. - Rakesh Mehta; Karen O. Egiazarian (ICPRAM, 2013)

Texture Classification Using Dense Micro-block Difference (DMD). - Rakesh Mehta; Karen O. Egiazarian (ACCV (2), 2014)

A 3.6 GHz 16-Core SPARC SoC Processor in 28 nm. - Jason Hart; Hoyeol Cho; Yuefei Ge; Gregory Gruber; Dawei Huang; Changku Hwang; Daisy Jian; Timothy Johnson; Georgios K. Konstadinidis; Venkatram Krishnaswamy; Lance Kwong; Robert P. Masleid; et al. (IEEE J. Solid State Circuits, 2014)

Face recognition using scale-adaptive directional and textural features. - Rakesh Mehta; Jirui Yuan; Karen O. Egiazarian (Pattern Recognit., 2014)

Towards visual words to words. - Rakesh Mehta; Ondrej Chum; Jiri Matas (ICDAR, 2015)

Gender Classification by LUT Based Boosting of Overlapping Block Patterns. - Rakesh Mehta; Manuel Günther; Sébastien Marcel (SCIA, 2015)

Dominant Rotated Local Binary Patterns (DRLBP) for texture classification. - Rakesh Mehta; Karen O. Egiazarian (Pattern Recognit. Lett., 2016)

Rotation Invariant Texture Description Using Symmetric Dense Microblock Difference. - Rakesh Mehta; Karen O. Egiazarian (IEEE Signal Process. Lett., 2016)

Texture Classification Using Dense Micro-Block Difference. - Rakesh Mehta; Karen O. Egiazarian (IEEE Trans. Image Process., 2016)

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. - Radu Timofte; Eirikur Agustsson; Luc Van Gool; Ming-Hsuan Yang 001; Lei Zhang 006; Bee Lim; Sanghyun Son 002; Heewon Kim; Seungjun Nah; Kyoung Mu Lee; Xintao Wang 002; Yapeng Tian; et al. (CVPR Workshops, 2017)

Object Detection at 200 Frames per Second. - Rakesh Mehta; Cemalettin Öztürk (ECCV Workshops (5), 2018)

Improving detection speed in video by exploiting frame correlation. - Rakesh Mehta; Jaume Amores (Pattern Recognit. Lett., 2018)

Single Image Super-Resolution Based on Wiener Filter in Similarity Domain. - Cristóvão Cruz; Rakesh Mehta; Vladimir Katkovnik; Karen O. Egiazarian (IEEE Trans. Image Process., 2018)

Efficient Feature Extraction for Person Re-Identification via Distillation. - Francisco Salgado; Rakesh Mehta; Paulo Lobato Correia (EUSIPCO, 2019)

Empowering and engaging industrial workers with Operator 4.0 solutions. - Eija Kaasinen; Franziska Schmalfuß; Cemalettin Öztürk; Susanna Aromaa; Menouer Boubekeur; Juhani Heilala; Päivi Heikkilä; Timo Kuula; Marja Liinasuo; Sebastian Mach; Rakesh Mehta; Esko Petäjä; et al. (Comput. Ind. Eng., 2020)

Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation. - Idoia Ruiz; Bogdan Raducanu; Rakesh Mehta; Jaume Amores (Eng. Appl. Artif. Intell., 2020)