VLaNC Lab

Publications and Patents

Publications grouped by year, with patents, direct links to PDFs, and BibTeX citations.

CVPR 2026
Bavana, S., Potta, A. R., Patnaik, S. A., & Goyal, N. GIV-CXR: Densely Grounded, Visually Interpretable Chest X-ray Question Answering Dataset. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 6883-6892. 2026.

A grounded chest X-ray visual question answering benchmark linking answers with interpretable visual evidence across anatomy and findings.

IJCAI-ECAI 2026 HBAIAccepted, poster
Tiwari, S., Subrahmanyam, B. H. V. S. P., Goyal, N., & Patnaik, S. A. Lost in Visual Translation: A VLM-Assisted Perceptual-Semantic Coherence Framework for EEG-to-Image Reconstruction. Accepted, 5th International Workshop on Human Brain and Artificial Intelligence (HBAI 2026), IJCAI-ECAI 2026. Poster.

Introduces a BCI-aware perceptual-semantic coherence framework for EEG-to-image reconstruction evaluation using VLM-routed annotations and human validation across 6,885 image pairs from ATM, ENIGMA, BrainVis, and DreamDiffusion.

ICETCI 2026Accepted
Generative AI for Non-Invasive Brain Decoding: Cross-Modal Approaches, Challenges, and Future Directions. Accepted to 2026 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). Paper ID 1571280480.
ICETCI 2026Accepted
Multi-View Contrastive and Semantically-Aligned EEG Emotion Recognition with Topology and Asymmetry-Aware Adaptation. Accepted to 2026 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). Paper ID 1571281708.

Potta, R., Asthana, M., Yadav, S., Goyal, N., Patnaik, S., Jain, P. AttriSAGE: Product Attribute Value Extraction Using Graph Neural Networks. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, March 17 - March 22, St. Julians, Malta.

Jaglan K., Chaitanya M., Sharma T., Singam A., Goyal N., Kumaraguru P., Brandes U. Tight Sampling in Unbounded Networks. arXiv preprint.
Kansal K., Kansal, N., Bavana, S., Vamshi, B., Goyal, N. A Systematic Study on Video Summarization: Approaches, Challenges, and Future Directions. Accepted at NarSUM '23, Proceedings of the 2nd Workshop on User-centric Narrative Summarization of Long Videos in conjunction with ACM MM 2023, Ottawa, Canada.
Goyal, N., Kalra, J., Sharma, C., Mutharaju, R., Sachdeva, N., and Kumaraguru, P. JobXMLC: EXtreme Multi-Label Classification of Job Skills with Graph Neural Networks. Accepted at Findings of the Association for Computational Linguistics: EACL 2023.
Goyal, N., Mamidi, R., Sachdeva, N., and Kumaraguru, P. Warning: It's a scam!! Towards understanding the Employment Scams using Knowledge Graphs. Accepted at ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD 2023) YRS track. Bombay, Jan 4 - 7, 2023.

Goyal, N.*, Arora, U.*, Goel, A., Sachdeva, N., Kumaraguru, P. Ask It Right! Identifying Low-Quality Questions on Community Question Answering Services. In Proceedings of International Joint Conference on Neural Networks (IJCNN-2022), July 19 - July 23, Padua, Italy.

Goyal, N., Sachdeva, N., Goel, A., Kalra, J., and Kumaraguru, P. KCNet: Kernel-based Canonicalization Network for entities in Recruitment Domain. In 30th International Conference on Artificial Neural Networks (ICANN). 2021.
Goyal, N., Sachdeva, N., and Kumaraguru, P. Spy The Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs. In 14th International Conference on Knowledge Science, Engineering and Management (KSEM 2021). 2021.

Goyal, N., Sachdeva, N., Choudhary, V., Kar, R., Kumaraguru, P., and Rajput, N. Con2KG-A Large-scale Domain-Specific Knowledge Graph. In Proceedings of the 30th ACM Conference on Hypertext and Social Media, pp. 287-288. 2019.

Patents

Published patents and invention disclosures from the lab.

May 15, 2026
A System and Method for Predictive Driver Distraction Risk Assessment Using Eye-Tracking and Spatiotemporal Modeling

Patent published with four B.Tech AI students and faculty collaborators from HSS and CSE, Mahindra University.

Dr. Sunder BukyaDr. Nidhi GoyalSidhanth RanjanVivek ShowryAdya BahlSree Spoorthi Vattem