No reference, fuzzy weighted unsharp masking based DCT interpolation for better 2-D up-sampling. - Aditya Acharya; Sukadev Meher (FUZZ-IEEE, 2013)

A parallel and memory efficient algorithm for constructing the contour tree. - Aditya Acharya; Vijay Natarajan (PacificVis, 2015)

On the Complexity of Slide-and-Merge Games. - Ahmed Abdelkader; Aditya Acharya; Philip Dasler (CoRR, 2015)

2048 Without New Tiles Is Still Hard. - Ahmed Abdelkader; Aditya Acharya; Philip Dasler (FUN, 2016)

Human Visual Search as a Deep Reinforcement Learning Solution to a POMDP. - Aditya Acharya; Xiuli Chen; Christopher W. Myers; Richard L. Lewis; Andrew Howes 001 (CogSci, 2017)

Efficient fuzzy composite predictive scheme for effectual 2-D up-sampling of images for multimedia applications. - Aditya Acharya; Sukadev Meher (J. Vis. Commun. Image Represent., 2017)

Interaction as an Emergent Property of a Partially Observable Markov Decision Process. - Andrew Howes 001; Xiuli Chen; Aditya Acharya; Richard L. Lewis (Computational Interaction, 2018)

Composite high frequency predictive scheme for efficient 2-D up-scaling performance. - Aditya Acharya; Sukadev Meher (Multim. Tools Appl., 2018)

Approximate optimal control model for visual search tasks. - Aditya Acharya (2019)

An Adaptive Model of Gaze-based Selection. - Xiuli Chen; Aditya Acharya; Antti Oulasvirta; Andrew Howes 001 (CHI, 2021)

Touchscreen Typing As Optimal Supervisory Control. - Jussi Jokinen; Aditya Acharya; Mohammad Uzair; Xinhui Jiang; Antti Oulasvirta (CHI, 2021)

Local Gamma Correction using Bi-linear Function for Dark Image Enhancement. - Abanikanta Pattanayak; Aditya Acharya; Nihar Ranjan Panda (OCIT, 2021)

Iterative spatial domain 2-D signal decomposition for effectual image up-scaling. - Aditya Acharya; Sukadev Meher (Multim. Tools Appl., 2021)

Optimally Tracking Labels on an Evolving Tree. - Aditya Acharya; David M. Mount (CCCG, 2022)

Rediscovering Affordance: A Reinforcement Learning Perspective. - Yi-Chi Liao 001; Kashyap Todi; Aditya Acharya; Antti Keurulainen; Andrew Howes 001; Antti Oulasvirta (CHI, 2022)

Tracking Evolving labels using Cone based Oracles. - Aditya Acharya; David M. Mount (CoRR, 2023)

Real-time enhancement using multi-linear adaptive gamma correction (MLAGC) for better night driving. - Abanikanta Pattanayak; Aditya Acharya; Judhisthir Dash (J. Real Time Image Process., 2023)

Prevalence and demographic variation of cardiovascular, renal, metabolic, and mental health conditions in 12 million english primary care records. - Jennifer Cooper; Krishnarajah Nirantharakumar; Francesca Crowe; Amaya Azcoaga-Lorenzo; Colin McCowan; Thomas Jackson; Aditya Acharya; Krishna Gokhale; Niluka Gunathilaka; Tom Marshall; Shamil Haroon (BMC Medical Informatics Decis. Mak., 2023)

CRTypist: Simulating Touchscreen Typing Behavior via Computational Rationality. - Danqing Shi; Yujun Zhu; Jussi P. P. Jokinen; Aditya Acharya; Aini Putkonen; Shumin Zhai; Antti Oulasvirta (CHI, 2024)

Dark image enhancement using adaptive piece-wise sigmoid gamma correction (APSGC) in presence of optical sources. - Abanikanta Pattanayak; Aditya Acharya; Nihar Ranjan Panda (Multim. Tools Appl., 2024)

Support Vector Machines in the Hilbert Geometry. - Aditya Acharya; Auguste H. Gezalyan; Julian Vanecek; David M. Mount; Sunil Arya (WADS, 2025)

Evolving Distributions Under Local Motion. - Aditya Acharya; David M. Mount (WADS, 2025)