Variable Threshold Based Cutting Method for Virtual Surgery Simulations. - Ömer Çakir; Fatih Çakir; Oguzhan Çakir (ISCIS, 2011)

Nearest-Neighbor based Metric Functions for indoor scene recognition. - Fatih Çakir; Ugur Güdükbay; Özgür Ulusoy (Comput. Vis. Image Underst., 2011)

A novel Variable Step Size LMS algorithm employing cross correlation between channel output and error signal. - Fatih Çakir; Ali Özen (SIU, 2012)

Novel cascaded Turbo-Permutation coding for frequency selective Rayleigh fading channels. - Fatih Çakir; Emin Tugcu; Ali Özen; Ismail Kaya (TSP, 2012)

A novel variable step size constant modulus algorithm employing cross correlation between channel output and error signal. - Emin Tugcu; Fatih Çakir; Ali Özen (TSP, 2012)

Supervised hashing with error correcting codes. - Fatih Çakir; Stan Sclaroff (ACM Multimedia, 2014)

Visual Word Selection without Re-Coding and Re-Pooling. - Fatih Çakir; Stan Sclaroff (CoRR, 2014)

Adaptive Hashing for Fast Similarity Search. - Fatih Çakir; Stan Sclaroff (ICCV, 2015)

Online supervised hashing. - Fatih Çakir; Stan Sclaroff (ICIP, 2015)

Online Supervised Hashing for Ever-Growing Datasets. - Fatih Çakir; Sarah Adel Bargal; Stan Sclaroff (CoRR, 2015)

MIHash: Online Hashing with Mutual Information. - Fatih Çakir; Kun He 003; Sarah Adel Bargal; Stan Sclaroff (ICCV, 2017)

Online supervised hashing. - Fatih Çakir; Sarah Adel Bargal; Stan Sclaroff (Comput. Vis. Image Underst., 2017)

Online hashing for fast similarity search - Fatih Çakir (2017)

Hashing as Tie-Aware Learning to Rank. - Kun He 003; Fatih Çakir; Sarah Adel Bargal; Stan Sclaroff (CVPR, 2018)

Hashing with Binary Matrix Pursuit. - Fatih Çakir; Kun He 003; Stan Sclaroff (ECCV (5), 2018)

Deep Metric Learning to Rank. - Fatih Çakir; Kun He 003; Xide Xia; Brian Kulis; Stan Sclaroff (CVPR, 2019)

Hashing with Mutual Information. - Fatih Çakir; Kun He 003; Sarah Adel Bargal; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It. - Vijay Janapa Reddi; David Kanter; Peter Mattson; Jared Duke; Thai Nguyen; Ramesh Chukka; Kenneth Shiring; Koan-Sin Tan; Mark Charlebois; William Chou; Mostafa El-Khamy; Jungwook Hong; et al. (CoRR, 2020)

MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI. - Vijay Janapa Reddi; David Kanter; Peter Mattson; Jared Duke; Thai Nguyen; Ramesh Chukka; Kenneth Shiring; Koan-Sin Tan; Mark Charlebois; William Chou; Mostafa El-Khamy; Jungwook Hong; et al. (MLSys, 2022)