Video Based Face Recognition Using Graph Matching. - Gayathri Mahalingam; Chandra Kambhamettu (ACCV (3), 2010)

Age invariant face recognition using graph matching. - Gayathri Mahalingam; Chandra Kambhamettu (BTAS, 2010)

Face verification with aging using AdaBoost and local binary patterns. - Gayathri Mahalingam; Chandra Kambhamettu (ICVGIP, 2010)

Face Recognition in Videos Using Adaptive Graph Appearance Models. - Gayathri Mahalingam; Chandra Kambhamettu (ISVC (1), 2010)

Can discriminative cues aid face recognition across age? - Gayathri Mahalingam; Chandra Kambhamettu (FG, 2011)

Face Recognition in Videos - A Graph Based Modified Kernel Discriminant Analysis. - Gayathri Mahalingam; Chandra Kambhamettu (ACCV (1), 2012)

Face verification of age separated images under the influence of internal and external factors. - Gayathri Mahalingam; Chandra Kambhamettu (Image Vis. Comput., 2012)

Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset. - Gayathri Mahalingam; Karl Ricanek Jr. (BTAS, 2013)

Investigating the effects of gender and age group based differences in identical twins. - Gayathri Mahalingam; Karl Ricanek (NCVPRIPG, 2013)

Biometrically, How Identical Are Identical Twins? - Karl Ricanek Jr.; Gayathri Mahalingam (Computer, 2013)

LBP-based periocular recognition on challenging face datasets. - Gayathri Mahalingam; Karl Ricanek Jr. (EURASIP J. Image Video Process., 2013)

Investigating the Periocular-Based Face Recognition Across Gender Transformation. - Gayathri Mahalingam; Karl Ricanek Jr.; A. Midori Albert (IEEE Trans. Inf. Forensics Secur., 2014)

Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset. - Nisha Srinivas; Harleen Atwal; Derek C. Rose; Gayathri Mahalingam; Karl Ricanek; David S. Bolme (FG, 2017)

PCB-METAL: A PCB Image Dataset for Advanced Computer Vision Machine Learning Component Analysis. - Gayathri Mahalingam; Kevin Marshall Gay; Karl Ricanek (MVA, 2019)

Automated Neuron Shape Analysis from Electron Microscopy. - Sharmishtaa Seshamani; Leila Elabbady; Casey Schneider-Mizell; Gayathri Mahalingam; Sven Dorkenwald; Agnes Bodor; Thomas Macrina; Daniel Bumbarger; JoAnn Buchanan; Marc Takeno; Wenjing Yin; Derrick Brittain; et al. (CoRR, 2020)

Anomaly Detection in EM Images - A Zero-Shot Learning Approach. - Gayathri Mahalingam; Tong Jiao; Casey Schneider-Mizell; Agnes Bodor; Russel Torres; Marc Takeno; JoAnn Buchanan; Daniel Bumbarger; Wenjing Yin; Derrick Brittain; R. Clay Reid; Nuno daCosta (ISBI, 2022)

Geometry of inter-areal interactions in mouse visual cortex. - Ramakrishnan Iyer; Joshua H. Siegle; Gayathri Mahalingam; Shawn R. Olsen; Stefan Mihalas (NeurReps, 2022)

Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models. - Maurice Diesendruck; Jianzhe Lin; Shima Imani; Gayathri Mahalingam; Mingyang Xu; Jie Zhao (CoRR, 2024)

Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. - Chenyang An; Shima Imani; Feng Yao; Chengyu Dong; Ali Abbasi 008; Harsh Shrivastava 001; Samuel Buss; Jingbo Shang; Gayathri Mahalingam; Pramod Sharma; Maurice Diesendruck (CoRR, 2024)

Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation. - Ali Abbasi 008; Shima Imani; Chenyang An; Gayathri Mahalingam; Harsh Shrivastava 001; Maurice Diesendruck; Hamed Pirsiavash; Pramod Sharma; Soheil Kolouri (CoRR, 2024)