Scholar
Basura Fernando
Google Scholar ID: GyvseMkAAAAJ
Scientist at A*STAR Singapore, Assistant Professor at NTU
Visual Reasoning
Action Prediction
Action Recognition
Transfer Learning
Embodied AI
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Citations & Impact
All-time
Citations
8,368
H-index
32
i10-index
61
Publications
20
Co-authors
124
list available
Contact
Email
basura.fernando@anu.edu.au
GitHub
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Publications
17 items
Explicit World Models for Reliable Human-Robot Collaboration
arXiv.org · 2026
Cited
0
VOST-SGG: VLM-Aided One-Stage Spatio-Temporal Scene Graph Generation
2025
Cited
0
Know-Show: Benchmarking Video-Language Models on Spatio-Temporal Grounded Reasoning
2025
Cited
0
HMR3D: Hierarchical Multimodal Representation for 3D Scene Understanding with Large Vision-Language Model
2025
Cited
0
CoFFT: Chain of Foresight-Focus Thought for Visual Language Models
2025
Cited
0
ChainReaction! Structured Approach with Causal Chains as Intermediate Representations for Improved and Explainable Causal Video Question Answering
2025
Cited
0
Mitigating Easy Option Bias in Multiple-Choice Question Answering
2025
Cited
0
IMoRe: Implicit Program-Guided Reasoning for Human Motion Q&A
2025
Cited
0
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Resume (English only)
Academic Achievements
Recipient of NRF Fellowship (Award#: NRF-NRFF14-2022-0001), 2022–2027
A*STAR CRF Award recipient, 2021–2026
Led multiple AI Singapore projects, including:
— 'The “Other Me”: Human-Centered AI Assistance In Situ' (2021–2025)
— 'Learning To Anticipate Human Actions' (2019–2022)
Participated in RIE2020 AME project on auto OCR for aerospace components (2020–2022)
Multiple papers accepted at top venues in 2025, including NeurIPS, ICCV, ACL, EMNLP, IEEE TMM, IJCV
Background
Principal Scientist and NRF Fellow at Institute of High-Performance Computing (IHPC), A*STAR, Singapore
Principal Investigator at Centre for Frontier AI Research (CFAR)
Adjunct Assistant Professor at College of Computing and Data Science, NTU
Previously Honorary Lecturer and Research Fellow at Australian National University (ANU), affiliated with Australian Centre for Robotic Vision (ACRV)
Research interests: Visual Reasoning, Action Prediction, Action Recognition, Transfer Learning, Embodied AI
Co-authors
124 total
Tinne Tuytelaars
KU Leuven - PSI, Belgium
Stephen Gould
Professor at Australian National University
Efstratios Gavves
Associate Professor at University of Amsterdam
Hakan Bilen
University of Edinburgh
Co-author 5
Marc Sebban
Professor of Computer Science, Jean Monnet University
Richard Hartley
Australian National University, National ICT Australia (NICTA)
Debaditya Roy
Assistant Professor, Dept. of CSE, IIT Kharagpur
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