Srishti Yadav
ELLIS PhD Fellow - University of Copenhagen and University of Amsterdam, member Pioneer Centre of AI, ILLC
I am an ELLIS PhD Fellow advised by Dr. Serge Belongie (University of Copenhagen) and Dr. Ekatarina Shutova (University of Amsterdam). I am broadly interested in AI and Society with current focus on applying ML to narratives and cross-cultural multimodal research problems. More specifically, I am currently working on:
- probing bias in vision-language models via symbolic reasoning in media
- cross cultural awareness of multimodal models
I spent couple of years in industry working on computer vision problems in agri-tech, aerial imagery and remote sensing. Some of my past work and collaborations include MILA (bio-diversity monitoring project), Helicopter and VTOL Laboratory - IIT Kanpur, Samsung IoT Innovation Lab and Applied Cognitive Science Lab, India.
Collaboration: If you are interested in applying AI to narratives, cross-cultural multimodal research problems or have a cool idea, feel free to reach out to me.
Community Service: I am currently on the board of Women in Computer Vision (WiCV). I was an advisor for WiCV@ICCV2023, WiCV@CVPR 2021, area chair for WiV@CVPR 2020 and on the committe of the WiML@NeuRIPS, 2019.
Note: I am a masters graduate (research-track) from Simon Fraser University, Canada. If you are someone who wants to chat about Masters (especially research-track) in Canada, DO-NOT hesitate to email me. It’s a funded program and I’ll be more than happy to tell you about it! I am also happy to answer questions on ELLIS PhD program.
Selected Publications
- DATaR: depth augmented target redetection using kernelized correlation filterMultimedia Systems, 2023
- Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context LearningarXiv preprint arXiv:2309.10359, 2023
- Deep attention models for human tracking using RGBDSensors, 2019