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Tejaswi Kasarla
Tejaswi Kasarla

Drag Racing

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!

Email | Google Scholar | CV | Github | LinkedIn | Twitter

 

highlights

Nov 2022Teaching Assistant for Applied Machine Learning course
Sep 2022I presented a poster on our NeurIPS 2022 paper the ELLIS Doctoral Symposium 2022 in Alicante, Spain!
Sep 2022Our 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 2022New preprint on arXiv!: Maximum Class Separation as Inductive Bias in One Matrix
Jun 2022We organized the in-person and virtual Women in Computer Vision Workshop at CVPR 2022!
Nov 2021Teaching Assistant for Applied Machine Learning course
Oct 2021I joined PhD at VIS Lab, University of Amsterdam.
Oct 2021We organized the Women in Computer Vision (WiCV) Social at ICCV 2021!
Jun 2021We organized the Women in Computer Vision Workshop at CVPR 2021!
<!– Nov 2020I 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 2020Presented poster on Region based Active Learning for Semantic Segmentation at Summer School of Machine Learning at Skoltech (SMILES)
Aug 2019Reviewed papers for Women in Machine Learning (WiML) workshop, co-located with NeurIPS 2019.
Jun 2019Defended my Master’s thesis!
May 2019Started 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 2018Paper on Region Based Active Learning for Efficient Labelling in Semantic Segmentation accepted to WACV 2019 [link]
Jun 2018 - Oct 2018Interning at Research and Technology Center, Bosch. | Mentors: Guruprasad Hegde, Amit Kale
Apr 2018Presenting 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

project pagepaper code

Region-Based Active Learning for Efficient Labelling in Semantic Segmentation
 Tejaswi Kasarla, G Nagendar, Guruprasad Hegde, Vineeth N. Balasubramanian, C.V. Jawahar
WACV 2019

paper supplementary poster