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Gaurav Pandey

4 papers hereh-index 486 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CL1
  • cs.LG1
same name
  • Gaurav Pandey — 23 papers, h 17
  • Gaurav Pandey — 16 papers, h 7
  • Gaurav Pandey — 8 papers, h 1
  • Gaurav Pandey — 2 papers
  • Gaurav Pandey — 2 papers, h 7
  • Gaurav Pandey — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedUnravelling the Architecture of Membrane Proteins with Conditional Random Fields

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Point Virtual Transformer

Veerain Sood, Bnalin, Gaurav Pandey

LiDAR-based 3D object detectors often struggle to detect far-field objects due to the sparsity of point clouds at long ranges, which limits the availability of reliable geometric c…

cs.CL2025

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG

Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal +4

Retrieval-Augmented Generation (RAG) has emerged as a prominent method for incorporating domain knowledge into Large Language Models (LLMs). While RAG enhances response relevance b…

cs.CV2023

RGB-X Object Detection via Scene-Specific Fusion Modules

Sri Aditya Deevi, Connor Lee, Lu Gan +3

Multimodal deep sensor fusion has the potential to enable autonomous vehicles to visually understand their surrounding environments in all weather conditions. However, existing dee…

cs.LG2020★ 1 cited

Unravelling the Architecture of Membrane Proteins with Conditional Random Fields

Lior Lukov, Sanjay Chawla, Wei Liu +2

In this paper, we will show that the recently introduced graphical model: Conditional Random Fields (CRF) provides a template to integrate micro-level information about biological…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.