Aayan Yadav
BTech Student
IIT Roorkee
About Me
I am a senior at the Mehta Family School of Data Science and Artificial Intelligence at IIT Roorkee. My current interests include 3D Representations, Reconstruction & SLAM. My aim is to develop data efficient models that understand the physical world.
Most recently, I interned at AuraML where I worked on text to 3D scene generation. In the past, I had the privilege to work with Prof. Justin Johnson and Dr. Karan Desai on the Benchmarking Object Detectors with COCO: A New Path Forward where we refined annotations of MS COCO dataset. I have also worked with Prof. Sanjeev Kumar on adversarial finetuning of contrastive models.
I am actively looking for opportunities in the field of 3D computer vision. I am interested in full time research roles and PhD starting Fall 2026. If your work aligns with my interests please reach out!
Publications
Provenance Detection for AI-Generated Images: Combining Perceptual Hashing, Homomorphic Encryption, and AI Detection Models
Shree Singhi, Aayan Yadav, Aayush Gupta, Shariar Ebrahimi, Parisa Hassanizadeh
Projects
SLAFCoM: A Study on Loss Functions for Adversarial Finetuning of Contrastive Models
Introduced a Clean Consistency Term in the loss function and experimented with different weights and learning rate to improve adversarial finetuning of contrastive models.
GitHubSirius
An agentic RAG system using SoTA techniques like AdaRAG, PlanRAG, HyDE, SPLADE, MetRAG, RRF etc.
GitHubMedMatcher
Similar Document Template Matching for Medical Dataset. Fine-tuned LayoutLMv3 model on custom medical document dataset using weighted cross entropy loss and minibatch gradient descent.
GitHubImage Captioning Model
Build an image captioning model using transfer learning techniques on the Flickr8k dataset. We fine-tuned a combination of pretrained Inceptionv3 and LSTM with regularization.
GitHubBlogs
Dismantling Disentanglement in VAEs
In this blog post I give a brief introduction of variational autoencoders and then explain how we can achieve disentanglement in latent space. It is an explanation of this paper.
Read moreActivation Functions
This is a beginner's introduction to activation functions. This was my first ever blog which I wrote for Blogathon organised by DSG IITR!
Read more