Learning to find occlusion regions. - Ahmad Humayun; Oisin Mac Aodha; Gabriel J. Brostow (CVPR, 2011)

A Novel Paradigm for Mining Cell Phenotypes in Multi-tag Bioimages Using a Locality Preserving Nonlinear Embedding. - Adnan Mujahid Khan; Ahmad Humayun; Shan-E-Ahmed Raza; Michael Khan; Nasir M. Rajpoot (ICONIP (4), 2012)

Video Segmentation by Tracking Many Figure-Ground Segments. - Fuxin Li; Taeyoung Kim; Ahmad Humayun; David Tsai 002; James M. Rehg (ICCV, 2013)

Learning a Confidence Measure for Optical Flow. - Oisin Mac Aodha; Ahmad Humayun; Marc Pollefeys; Gabriel J. Brostow (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions. - Ahmad Humayun; Fuxin Li; James M. Rehg (CVPR, 2014)

The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals. - Ahmad Humayun; Fuxin Li; James M. Rehg (ICCV, 2015)

Finding Temporally Consistent Occlusion Boundaries in Videos Using Geometric Context. - S. Hussain Raza 001; Ahmad Humayun; Irfan A. Essa; Matthias Grundmann; David Anderson (WACV, 2015)

Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; Ahmad Humayun; Charlene Tay; Chen Yu 001; Linda B. Smith; James M. Rehg; Le Song (ICML, 2017)

Incremental Object Learning From Contiguous Views. - Stefan Stojanov; Samarth Mishra; Ngoc Anh Thai; Nikhil Dhanda; Ahmad Humayun; Chen Yu 001; Linda B. Smith; James M. Rehg (CVPR, 2019)

Detection and Incremental Object Learning in Videos. - Ahmad Humayun (2019)

NaturalFuzz: Natural Input Generation for Big Data Analytics. - Ahmad Humayun; Yaoxuan Wu; Miryung Kim; Muhammad Ali Gulzar (ASE, 2023)

Low-shot Object Learning with Mutual Exclusivity Bias. - Anh Thai; Ahmad Humayun; Stefan Stojanov; Zixuan Huang 001; Bikram Boote; James M. Rehg (NeurIPS, 2023)

Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics. - Ahmad Humayun; Miryung Kim; Muhammad Ali Gulzar (ESEC/SIGSOFT FSE, 2023)

DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors. - Joseph Ortiz; Antoine Dedieu; Wolfgang Lehrach; J. Swaroop Guntupalli; Carter Wendelken; Ahmad Humayun; Sivaramakrishnan Swaminathan; Guangyao Zhou; Miguel Lázaro-Gredilla; Kevin P. Murphy (NeurIPS, 2024)

Natural Symbolic Execution-Based Testing for Big Data Analytics. - Yaoxuan Wu; Ahmad Humayun; Muhammad Ali Gulzar; Miryung Kim (Proc. ACM Softw. Eng., 2024)

How Accurately Do Large Language Models Understand Code? - Sabaat Haroon; Ahmad Faraz Khan 001; Ahmad Humayun; Waris Gill; Abdul Haddi Amjad; Ali R. Butt; Mohammad Taha Khan; Muhammad Ali Gulzar (CoRR, 2025)

Generating and Understanding Tests via Path-Aware Symbolic Execution with LLMs. - Yaoxuan Wu; Xiaojie Zhou; Ahmad Humayun; Muhammad Ali Gulzar; Miryung Kim (CoRR, 2025)