activity
20172024
most citedGraph Representation learning for Audio & Music genre Classification

6 citations · 8 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024

SynthForge: Synthesizing High-Quality Face Dataset with Controllable 3D Generative Models

Abhay Rawat, Shubham Dokania, Astitva Srivastava +3

Recent advancements in generative models have unlocked the capabilities to render photo-realistic data in a controllable fashion. Trained on the real data, these generative models…

cs.CV2022★ 1 cited

IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes

Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian +2

Autonomous driving and assistance systems rely on annotated data from traffic and road scenarios to model and learn the various object relations in complex real-world scenarios. Pr…

cs.CV2022

TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments

Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker +1

High-quality structured data with rich annotations are critical components in intelligent vehicle systems dealing with road scenes. However, data curation and annotation require in…

cs.SD2019★ 6 cited

Graph Representation learning for Audio & Music genre Classification

Shubham Dokania, Vasudev Singh

Music genre is arguably one of the most important and discriminative information for music and audio content. Visual representation based approaches have been explored on spectrogr…

cs.NE2017★ 1 cited

Opportunistic Self Organizing Migrating Algorithm for Real-Time Dynamic Traveling Salesman Problem

Shubham Dokania, Sunyam Bagga, Rohit Sharma

Self Organizing Migrating Algorithm (SOMA) is a meta-heuristic algorithm based on the self-organizing behavior of individuals in a simulated social environment. SOMA performs itera…

cs.NE2017

Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach

Shubham Dokania, Ayush Chopra, Feroz Ahmad +1

Operational maturity of biological control systems have fuelled the inspiration for a large number of mathematical and logical models for control, automation and optimisation. The…