I am interested in problems involving computer vision, machine learning with real world applications. I am a second-year PhD at VIS lab, University of Amsterdam and ELLIS Unit Amsterdam, advised by Pascal Mettes and Rita Cucchiara. During my PhD, I will explore how to leverage prior knowledge and inductive biases in learning visual data, and if that intersts you, read more about my thesis topic on the ELLIS website.
I was one of the chairs of Women in Computer Vision Workshop, co-hosted with CVPR 2021 and CVPR 2022. In my free time, I enjoy playing ukulele, reading books and occasionally, exploring some computational art!
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highlights
| Jul 2023 | Reviewed papers for ICCV 2023, WiCV Workshop @ CVPR 2023 and NeurIPS 2023. |
| Nov 2022 | Teaching Assistant for Applied Machine Learning course. |
| Sep 2022 | I presented a poster on our NeurIPS 2022 paper the ELLIS Doctoral Symposium 2022 in Alicante, Spain! |
| Sep 2022 | Our work on Maximum Separation is accepted to NeurIPS 2022 ! I will be presenting this work in-person at the conference. I will also present this work as a contributed talk at the Women in Machine Learning workshop. |
| Jun 2022 | New preprint on arXiv!: Maximum Class Separation as Inductive Bias in One Matrix |
| Jun 2022 | We organized the in-person and virtual Women in Computer Vision Workshop at CVPR 2022! |
| Nov 2021 | Teaching Assistant for Applied Machine Learning course |
| Oct 2021 | I joined PhD at VIS Lab, University of Amsterdam. |
| Oct 2021 | We organized the Women in Computer Vision (WiCV) Social at ICCV 2021! |
| Jun 2021 | We organized the Women in Computer Vision Workshop at CVPR 2021! |
| Aug 2020 | Presented poster on Region based Active Learning for Semantic Segmentation at Summer School of Machine Learning at Skoltech (SMILES) |
| Aug 2019 | Reviewed papers for Women in Machine Learning (WiML) workshop, co-located with NeurIPS 2019. |
| Jun 2019 | Defended my Master’s thesis! |
| May 2019 | Started working as Computer Vision Researcher at Research and Technology Center, Bosch. Excited to work on problems related to Autonomous Driving. | Collaborators: Amit Kale, Yasaswi Bharadwaj, Hiranmai M., Subramanya Bharadwaj |
| Nov 2018 | Paper on Region Based Active Learning for Efficient Labelling in Semantic Segmentation accepted to WACV 2019 [link] |
| Jun 2018 - Oct 2018 | Interning at Research and Technology Center, Bosch. | Mentors: Guruprasad Hegde, Amit Kale |
| Apr 2018 | Presenting our work on Active Learning for Semantic Segmentation at 1st Research Symposium, IIIT Hyderabad |
publications
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 (Oral – top 0.08%)
Also a contributed talk at WiML Workshop @ NeurIPS 2022
project pagepaper code poster media
Region-Based Active Learning for Efficient Labelling in Semantic Segmentation
Tejaswi Kasarla, G Nagendar, Guruprasad Hegde, Vineeth N. Balasubramanian, C.V. Jawahar
WACV 2019