most citedUnconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Re:CAP - Auditing Retrieval Coverage in Production RAG Pipelines

Aviral Joshi, Hanoz Bhathena, Max Nelson +1

Retrieval-augmented generation (RAG) is hard to monitor in production: exhaustive relevance labels do not exist for non-stationary multi-million-passage corpora that re-index in re…

cs.IR2026

Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection

Max Nelson, Hanoz Bhathena, Aviral Joshi +1

Selecting a retrieval model for a production RAG system requires reliable comparative evaluation, but obtaining relevance judgments at scale is expensive and difficult to repeat as…

cs.CV2021★ 1 cited

Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD

A Vinay, Aviral Joshi, Hardik Mahipal Surana +3

The paper posits a computationally-efficient algorithm for multi-class facial image classification in which images are constrained with translation, rotation, scale, color, illumin…

cs.CV2021

Analysis on Image Set Visual Question Answering

Abhinav Khattar, Aviral Joshi, Har Simrat Singh +2

We tackle the challenge of Visual Question Answering in multi-image setting for the ISVQA dataset. Traditional VQA tasks have focused on a single-image setting where the target ans…

cs.CL2021

Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation

Aviral Joshi, Chengzhi Huang, Har Simrat Singh

This work focuses on comparing different solutions for machine translation on low resource language pairs, namely, with zero-shot transfer learning and unsupervised machine transla…