Region-based active learning for efficient labeling in semantic segmentation. - Tejaswi Kasarla; Gattigorla Nagendar; Guruprasad M. Hegde; Vineeth Balasubramanian; C. V. Jawahar (WACV, 2019)

Maximum Class Separation as Inductive Bias in One Matrix. - Tejaswi Kasarla; Gertjan J. Burghouts; Max van Spengler; Elise van der Pol; Rita Cucchiara; Pascal Mettes (NeurIPS, 2022)

WiCV 2021: The Eighth Women In Computer Vision Workshop. - Arushi Goel; Niveditha Kalavakonda; Nour Karessli; Tejaswi Kasarla; Kathryn Leonard; Boyi Li; Nermin Samet; Ghada Zamzmi (CoRR, 2022)

WiCV 2022: The Tenth Women In Computer Vision Workshop. - Doris Antensteiner; Silvia Bucci; Arushi Goel; Marah Halawa; Niveditha Kalavakonda; Tejaswi Kasarla; Miaomiao Liu; Nermin Samet; Ivaxi Sheth (CoRR, 2022)

Maximally Separated Active Learning. - Tejaswi Kasarla; Abhishek Jha 001; Faye Tervoort; Rita Cucchiara; Pascal Mettes (ECCV Workshops (17), 2024)

Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability. - Judith Dijk; Gertjan J. Burghouts; Kapil D. Katyal; Bryanna Y. Yeh; Craig Knuth; Ella Fokkinga; Tejaswi Kasarla; Pascal Mettes (CoRR, 2024)

Hyperbolic Safety-Aware Vision-Language Models. - Tobia Poppi; Tejaswi Kasarla; Pascal Mettes; Lorenzo Baraldi 002; Rita Cucchiara (CVPR, 2025)

Hyperbolic Safety-Aware Vision-Language Models. - Tobia Poppi; Tejaswi Kasarla; Pascal Mettes; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2025)

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors. - Tejaswi Kasarla; Max van Spengler; Pascal Mettes (CoRR, 2025)