Skip to content
View Saunak-Bhattacharjee's full-sized avatar

Block or report Saunak-Bhattacharjee

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. CLARUS-V2 CLARUS-V2 Public

    This is a github repository for CLARUS-VAD

    Jupyter Notebook

  2. CLARUS-V1 CLARUS-V1 Public

    This is the Github repository for the implementation of CLARUS: Contrastive Learning and Anomaly Detection for Respiratory Ultrasound Screening

    Jupyter Notebook

  3. Text-conditioned-depth-estimation-on-DAVIS Text-conditioned-depth-estimation-on-DAVIS Public

    This is a github repository of a project that looks into a whether a vision model can be conditioned into understanding monocular depth in a image if it is supported with textual descriptions of th…

    Jupyter Notebook

  4. Latent-Masked-Video-Models-for-Temporal-Progression Latent-Masked-Video-Models-for-Temporal-Progression Public

    This is a github repository for latent masked video prediction using a frozen VideoMAE encoder. A lightweight transformer predicts future latent states from partial context, showing strong temporal…

    Python

  5. OneHop-Away-The-Collapse-of-Spatial-Encoding-in-Multi-Hop-Reasoning- OneHop-Away-The-Collapse-of-Spatial-Encoding-in-Multi-Hop-Reasoning- Public

    A probing study of spatial relation encoding across transformer layers in Pythia-2.8B, using the StepGame and SpaRTUN benchmarks.

    Jupyter Notebook

  6. Undergraduate-project-Multimodal-Emotion-Recognition- Undergraduate-project-Multimodal-Emotion-Recognition- Public

    This github repository is for my undergraduate final project of using a deep learning based framework for multimodal emotion recognition on the MELD dataset