Scholar
Akshita Gupta
Google Scholar ID: G01YeI0AAAAJ
TU Darmstadt
Citations & Impact
Citations
1,304
H-index
6
i10-index
5
Publications
17
Co-authors
0
Publications
Resume
Academic Achievements
- 1. Paper: Visatronic: A Multimodal Decoder-Only Model for Speech Synthesis (ArXiv 2025)
- 2. Paper: LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization (WACV 2025 Oral)
- 3. Paper: Open-Vocabulary Temporal Action Localization using Multimodal Guidance (BMVC 2024)
- 4. Paper: Generative Multi-Label Zero-Shot Learning (TPAMI 2023)
- 5. OW-DETR accepted at CVPR 2022
- 6. BiAM accepted at ICCV 2021
- 7. TF-VAEGAN accepted at ECCV 2020
- 8. A Large-scale Instance Segmentation Dataset for Aerial Images (iSAID) available for download
- 9. One paper accepted at Interspeech, CHiME Workshop 2018
- 10. Selected as an Outreachy intern with Mozilla (May 2018)
- 11. Conference and Journal Reviewing: CVPR (2022–2025), ECCV (2022, 2024), ICCV (2021), TPAMI (Journal)
Research Experience
- 1. Apple, Research Intern (2024-2025), Under Dr. Tatiana Likhomanenko
- 2. Microsoft Research, Research Intern (2023-2024), Under Gaurav Mittal and Mei Chen
- 3. NextAI, Scientist-in-Residence (2024), With Prof. Graham Taylor
- 4. Bayanat, Data Scientist (2022), Focused on detection and segmentation projects
- 5. Inception Institute of Artificial Intelligence, Research Engineer (2018-2022), Worked with Dr. Sanath Narayan, Dr. Salman Khan, and Dr. Fahad Shahbaz Khan
Education
- 1. ELLIS PhD student, TU Darmstadt (2025-Present), Supervised by Prof. Marcus Rohrbach and Dr. Federico Tombari (Google Zurich)
- 2. MASc, University of Guelph (2022-2024), Advised by Prof. Graham Taylor
- 3. Student Researcher, Vector Institute (2022-2024)
Background
- Research Interests: Broadly interested in building scalable, multimodal models that combine vision, language, and speech modalities with interests in efficient modeling, temporal understanding, and open-world generalization.
Miscellany
- Personal Interests: Not specifically mentioned