دنبال کردن
Tejaswi Kasarla
Tejaswi Kasarla
PhD Candidate, University of Amsterdam
ایمیل تأیید شده در uva.nl - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Region-based active learning for efficient labeling in semantic segmentation‏
T Kasarla, G Nagendar, GM Hegde, V Balasubramanian, CV Jawahar‏
2019 IEEE winter conference on applications of computer vision (WACV), 1109-1117, 2019‏
562019
Maximum class separation as inductive bias in one matrix‏
T Kasarla, GJ Burghouts, M van Spengler, E van der Pol, R Cucchiara, ...‏
NeurIPS 2022, 2022‏
262022
Wicv 2022: The tenth women in computer vision workshop‏
D Antensteiner, S Bucci, A Goel, M Halawa, N Kalavakonda, T Kasarla, ...‏
arXiv preprint arXiv:2208.11388, 2022‏
22022
Maximally Separated Active Learning‏
T Kasarla, A Jha, F Tervoort, R Cucchiara, P Mettes‏
arXiv preprint arXiv:2411.17444, 2024‏
2024
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability‏
J Dijk, G Burghouts, KD Katyal, BY Yeh, CT Knuth, E Fokkinga, T Kasarla, ...‏
arXiv preprint arXiv:2407.13392, 2024‏
2024
WiCV 2021: The Eighth Women In Computer Vision Workshop‏
A Goel, N Kalavakonda, N Karessli, T Kasarla, K Leonard, B Li, N Samet, ...‏
arXiv preprint arXiv:2203.05825, 2022‏
2022
Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors‏
T Kasarla, M van Spengler, P Mettes‏
Exemplar-free Continual Representation Learning with Symmetric Distillation‏
TPA Wiggers, T Kasarla, M Ayoughi, P Groth, P Mettes‏
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–8