Tripti Shukla 个人学术档案

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引用	41	41
h 指数	4	4
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Abhilasha SanchetiUniversity of Maryland, College Park在 cs.umd.edu 的电子邮件经过验证
Sumit ShekharML Researcher, Adobe在 adobe.com 的电子邮件经过验证
Balaji Vasan SrinivasanAdobe Research, India在 adobe.com 的电子邮件经过验证
Divya KothandaramanComputer Science PhD Student, University of Maryland College Park在 umd.edu 的电子邮件经过验证
Manoj Ghuhan ArivazhaganGraduate Student, CMU在 andrew.cmu.edu 的电子邮件经过验证
Srikrishna KaranamAdobe Research India在 ieee.org 的电子邮件经过验证
Paridhi MaheshwariStanford University在 stanford.edu 的电子邮件经过验证
Dinesh ManochaDistinguished University Professor, University of Maryland at College Park在 umd.edu 的电子邮件经过验证
Aishwarya AgarwalAdobe Research, CVIT-IIIT Hyderabad在 adobe.com 的电子邮件经过验证
Kuldeep KulkarniResearch Scientist, Adobe Research Bengaluru在 adobe.com 的电子邮件经过验证
Vedant RavalGraduate student at USC在 usc.edu 的电子邮件经过验证
Koustava GoswamiResearch Scientist Adobe Research在 adobe.com 的电子邮件经过验证
Prateksha UdhayananUniversity of Maryland在 umd.edu 的电子邮件经过验证
K J JosephResearch Scientist, Adobe Research在 adobe.com 的电子邮件经过验证
Pavan TuragaGeometric Media Lab, Arizona State University在 asu.edu 的电子邮件经过验证
Rajhans SinghArizona State University在 asu.edu 的电子邮件经过验证
Niyati ChhayaHyperbots Inc在 hyprbots.com 的电子邮件经过验证
Abhinav BohraIIT Kharagpur在 iitkgp.ac.in 的电子邮件经过验证
Akhash AmarnathQuillbot在 quillbot.com 的电子邮件经过验证
Praneetha VaddamanuCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证

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Tripti Shukla

Adobe Research; Georgia Tech

在 adobe.com 的电子邮件经过验证 - 首页

Deep Learning Computer Vision


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
SALAD: Source-free active label-agnostic domain adaptation for classification, segmentation and detection D Kothandaraman, S Shekhar, A Sancheti, M Ghuhan, T Shukla, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	14	2023
An image is worth multiple words: Multi-attribute inversion for constrained text-to-image synthesis A Agarwal, S Karanam, T Shukla, BV Srinivasan arXiv preprint arXiv:2311.11919, 2023	7	2023
Iterative multi-granular image editing using diffusion models KJ Joseph, P Udhayanan, T Shukla, A Agarwal, S Karanam, K Goswami, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024	6	2024
Template-based redesign of a document based on document content S Shekhar, V Raval, T Shukla, S singh Saluja, P Maheshwari, D Gupta US Patent 11,537,787, 2022	6	2022
Scene graph driven text-prompt generation for image inpainting T Shukla, P Maheshwari, R Singh, A Shukla, K Kulkarni, P Turaga Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023	4	2023
Distilladapt: Source-free active visual domain adaptation D Kothandaraman, S Shekhar, A Sancheti, M Ghuhan, T Shukla, ... arXiv preprint arXiv:2205.12840, 2022	4	2022
Object Insertion via Scene Graph T Shukla, K Kulkarni, P Maheshwari US Patent App. 18/067,989, 2024		2024
Cross view template recommendation system T Shukla, V Vinay, S Karanam, P Vaddamanu, BV Srinivasan US Patent 12,013,883, 2024		2024
Automatically generating graphic design variants from input text T Shukla, K Vagolu, S Rout, N Neeraje, AN Amarnath, BV Srinivasan US Patent App. 18/052,693, 2024		2024
Automated digital document generation from digital videos NH Chhaya, T Shukla, JK Karnuthala, BPR Guda, A Saxena, A Bohra, ... US Patent App. 18/464,493, 2023		2023
Automated digital document generation from digital videos NH Chhaya, T Shukla, JK Karnuthala, BPR Guda, A Saxena, A Bohra, ... US Patent 11,783,584, 2023		2023
System and methods for active domain adaptation D Kothandaraman, S Shekhar, A Sancheti, MG Arivazhagan, T Shukla US Patent App. 17/648,482, 2023		2023
Videos2Doc: Generating Documents from a Collection of Procedural Videos T Shukla, A Bhattacharyya, A Saxena, JK Karnuthala, A Bohra, BPR Guda, ... Companion Proceedings of the 27th International Conference on Intelligent …, 2022		2022

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