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ORCIDGayathri Mahalingam
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2020 – today
- 2024
[i3]Maurice Diesendruck, Jianzhe Lin, Shima Imani, Gayathri Mahalingam, Mingyang Xu, Jie Zhao:
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models. CoRR abs/2402.08756 (2024)- [i2]Chenyang An, Shima Imani, Feng Yao, Chengyu Dong, Ali Abbasi, Harsh Shrivastava, Samuel Buss, Jingbo Shang, Gayathri Mahalingam, Pramod Sharma, Maurice Diesendruck:
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. CoRR abs/2411.00863 (2024) - 2022
- [c12]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:
Anomaly Detection in EM Images - A Zero-Shot Learning Approach. ISBI 2022: 1-5 - [c11]Ramakrishnan Iyer, Joshua H. Siegle, Gayathri Mahalingam, Shawn R. Olsen, Stefan Mihalas:
Geometry of inter-areal interactions in mouse visual cortex. NeurReps 2022: 327-353 - 2020
- [i1]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, Russel Torres, Daniel Kapner, Kisuk Lee, Ran Lu, Jingpeng Wu, Nuno daCosta, R. Clay Reid, Forrest Collman:
Automated Neuron Shape Analysis from Electron Microscopy. CoRR abs/2006.00100 (2020)
2010 – 2019
- 2019
- [c10]Gayathri Mahalingam, Kevin Marshall Gay, Karl Ricanek:
PCB-METAL: A PCB Image Dataset for Advanced Computer Vision Machine Learning Component Analysis. MVA 2019: 1-5 - 2017
- [c9]Nisha Srinivas, Harleen Atwal, Derek C. Rose, Gayathri Mahalingam, Karl Ricanek, David S. Bolme:
Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset. FG 2017: 953-960 - 2014
- [j4]Gayathri Mahalingam
, Karl Ricanek Jr., A. Midori Albert:
Investigating the Periocular-Based Face Recognition Across Gender Transformation. IEEE Trans. Inf. Forensics Secur. 9(12): 2180-2192 (2014) - 2013
- [j3]Karl Ricanek Jr., Gayathri Mahalingam:
Biometrically, How Identical Are Identical Twins? Computer 46(3): 94-96 (2013) - [j2]Gayathri Mahalingam, Karl Ricanek Jr.:
LBP-based periocular recognition on challenging face datasets. EURASIP J. Image Video Process. 2013: 36 (2013) - [c8]Gayathri Mahalingam, Karl Ricanek Jr.:
Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset. BTAS 2013: 1-7 - [c7]Gayathri Mahalingam, Karl Ricanek:
Investigating the effects of gender and age group based differences in identical twins. NCVPRIPG 2013: 1-4 - 2012
- [j1]Gayathri Mahalingam, Chandra Kambhamettu:
Face verification of age separated images under the influence of internal and external factors. Image Vis. Comput. 30(12): 1052-1061 (2012) - [c6]Gayathri Mahalingam, Chandra Kambhamettu:
Face Recognition in Videos - A Graph Based Modified Kernel Discriminant Analysis. ACCV (1) 2012: 370-381 - 2011
- [c5]Gayathri Mahalingam, Chandra Kambhamettu:
Can discriminative cues aid face recognition across age? FG 2011: 206-212 - 2010
- [c4]Gayathri Mahalingam, Chandra Kambhamettu:
Video Based Face Recognition Using Graph Matching. ACCV (3) 2010: 82-94 - [c3]Gayathri Mahalingam, Chandra Kambhamettu:
Age invariant face recognition using graph matching. BTAS 2010: 1-7 - [c2]Gayathri Mahalingam, Chandra Kambhamettu:
Face verification with aging using AdaBoost and local binary patterns. ICVGIP 2010: 101-108 - [c1]Gayathri Mahalingam, Chandra Kambhamettu:
Face Recognition in Videos Using Adaptive Graph Appearance Models. ISVC (1) 2010: 519-528
Coauthor Index
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