I am interested in problems involving computer vision, machine learning with real world applications. I am a first-year PhD at ELLIS Unit Amsterdam and VIS lab, University of Amsterdam, advised by Pascal Mettes and Rita Cucchiara.
I was one of the organizers 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!
highlights
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 and 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! |
<!– Nov 2020 | I was featured on ResearcHers Code twitter. ResearcHers Code is an international community supporting cis & trans women & non-binary working in computational sciences, technology and research. I talked about my research and other related topics like SciComm, PhD admissions. –> |
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)
Also a contributed talk at WiML Workshop @ NeurIPS 2022
Region-Based Active Learning for Efficient Labelling in Semantic Segmentation
Tejaswi Kasarla, G Nagendar, Guruprasad Hegde, Vineeth N. Balasubramanian, C.V. Jawahar
WACV 2019