Sanyam Jain

[Sep '26] [Conference] Delivered an oral presentation and a poster of our work Brain2VLM at the ECCV 2026 workshop on Multimodal Reasoning and Slow Thinking in the Large Model Era, in Malmo, Sweden. The work analyses how cortical representations align with the latent spaces of pretrained diffusion-based vision-language models for brain-to-image reconstruction. preprint | project page | code (post)
[Jul '26] [Conference] Presented a poster for our short paper CarDiff: Anatomically-Aware Dental Caries Synthesis using Diffusion at the 30th Medical Image Understanding and Analysis (MIUA) 2026 conference in Dublin, Ireland (20-22 July). The work is on segmentation-conditioned synthesis with diffusion models for dental caries, which improved the Medium Caries class by +24% with 5x data augmentation. An extended version will be released as a preprint. (post)
[Apr '26] [Talk] Gave a talk at the University of Jyvaskyla (JYU), Finland, on my PhD topic Synthetic Dental Imaging using Generative Artificial Intelligence, hosted by Prof. Jenni Raitoharju. This also wrapped up my three-month PhD stay abroad at Tampere University, where we investigated model robustness for lifelong learning. (post)
[Feb '26] [New Role] Started as a Visiting PhD Student at Tampere University, Finland, with Prof. Alexandros Iosifidis and Prof. Ruben Pauwels. (post)
[Sep '25] [Paper] New preprint led by Johan Andreas Balle Rubak: Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning. (post)
[Mar '25] [Talk] Invited as guest speaker on PhD in AI for the Lecture Session at the International Women's Day Workshop, Indian Institute of Technology Roorkee, organised by the Department of Computer Science and Engineering. (post)
[Feb '25] [Paper] Our article Pano-GAN: A Deep Generative Model for Panoramic Dental Radiographs was published in Journal of Imaging, 11(2), 41 - a bachelor's project that grew into a new research direction on synthetic data generation in Dentistry and Oral Health. (post)
[Jan '25] [Talk] Gave my first presentation at Aarhus University, titled Synthetic Generation of Panoramic Radiographs, as part of PhD Day 2025. (post)
[Dec '24] [Paper] Our paper Shaving Beard or Applying Eye Makeup? Analysing How Frequently Pretrained VLMs Fail was accepted as a short paper at VISAPP 2025 (Porto, Portugal). The work came out of my summer internship at the Educational Technology Research Laboratory, NTNU, with Dr. Vijeta Sharma and Prof. Deepti Mishra. (post)
[Sep '24] [New Role] Started as a PhD Student at the Department of Dentistry and Oral Health, Aarhus University, Denmark. (post)
[Aug '24] [Outreach] Visited the Career Development Cell at the Indian Institute of Technology Dharwad to mentor students on emerging directions in Machine Learning and AI. (post)
[Jul '24] [New Role] Happy to share that I will start my PhD at Aarhus University on Generative Deep Learning for Medical Imaging, after finishing my MSc in Applied Computer Science at Ostfold University of Applied Sciences, Norway. (post)
[May '24] [Conference] Attended and presented at ICAPAI 2024 in Halden, Norway (16 April), and wrote up a summary of the talks and the conference. Thanks to the ICAPAI committee, HiOf and IFE Halden for organising. (post)
[Mar '24] [Paper] Two of my single-author papers were accepted at ICAPAI 2024, published in IEEE conference proceedings (Level 1 in the Norwegian system): Adversarial Attack on YOLOv5 for Traffic and Road Sign Detection and DeepSeaNet: Improving Underwater Object Detection using EfficientDet. (post)

Water Your Repo, Grow Your Greens!