Publications

  • A Gupta*, S Narayan*, K J Joseph, S Khan, F S Khan, M Shah, OW-DETR: Open-world Detection Transformer. In CVPR, 2022. [Code]

  • A Thatipelli, S Narayan, S Khan, R M Anwer, F S Khan, B Ghanem, Spatio-temporal Relation Modeling for Few-shot Action Recognition. In CVPR, 2022. [Code][Project]

  • S Narayan*, A Gupta*, S Khan, F S Khan, L Shao, M Shah, Discriminative Region-based Multi-Label Zero-Shot Learning. In ICCV, 2021. [Code][Project]

  • S Narayan, H Cholakkal, M Hayat, F S Khan, M-H Yang, L Shao, D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. In ICCV, 2021. [Code]

  • S Chandhok, S Narayan, H Cholakkal, R M Anwer, V N Balasubramanian, F S Khan, L Shao, Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. In BMVC, 2021.

  • S Narayan*, A Gupta*, F S Khan, C G M Snoek, L Shao, Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. In ECCV, 2020. [Code][Project]

  • S Narayan, H Cholakkal, F S Khan, L Shao, 3C-Net: Category Count and Center Loss for Weakly-supervised Action Localization. In ICCV 2019. [Code]

  • D Mandal*, S Narayan*, S Dwivedi, V Gupta, S Ahmed, F S Khan, L Shao, Out-of-Distribution Detection for Generalized Zero-shot Action Recognition. In CVPR 2019. [Code]

  • R Mitra, J Zhang, S Narayan, S Ahmed, S Chandran, A Jain, Improved Descriptors for Patch Matching and Reconstruction. In ICCV Workshops, 2017.

  • S Narayan and K R Ramakrishnan, A Cause and Effect Analysis of Motion Trajectories for Modeling Actions. In CVPR, 2014.

  • S Narayan, M S Kankanahalli, K R Ramakrishnan, Action and Interaction Recognition in First-person videos. In CVPR Workshops, 2014.

  • S Song, V Chandrasekhar, N M Cheung, S Narayan, L Li and JH Lim, Activity Recognition in Egocentric Life-Logging Videos. In ACCV Workshops, 2014.

  • H Pidaparthy, S Narayan, S Sastry, Automated Exercise Feedback System using a Non-invasive Sensor. In ICVGIP Workshops, 2014.

  • S Narayan and KR Ramakrishnan, Motion segmentation using curve fitting on Lagrangian particle trajectories. In ICPR, 2012.

Other Manuscripts

  • O Thawakar, S Narayan, J Cao, H Cholakkal, R M Anwer, M H Khan, S Khan, M Felsberg, F S Khan, Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer. arXiv preprint arXiv:2203.13253.

  • A Gupta*, S Narayan*, S Khan, F S Khan, L Shao, J van de Weijer, Generative Multi-Label Zero-Shot Learning. arXiv preprint arXiv:2101.11606, 2021.

  • R Mitra, N Doiphode, U Gautam, S Narayan, S Ahmed, S Chandran, A Jain, A Large Dataset for Improving Patch Matching. arXiv preprint arXiv:1801.01466, 2018. [Project page]

  • S Narayan and KR Ramakrishnan, Hyper-Fisher vectors for Action Recognition. arXiv preprint arXiv:1509.08439, 2015.

Miscellaneous

  • Three patents filed, while at Mercedes-Benz R&D India.

  • Reviewer for CVPR, ICCV, ECCV, NeurIPS, IEEE Trans. on Multimedia, IEEE Trans. on Image Processing.

  • Rated as one of the Top/outstanding reviewers (ICCV 2021, CVPR 2021, ECCV 2020) and Excellent reviewer (CVPR 2020)

  • Won the best Doctoral Symposium Paper award at ICVGIP (Indian Conf. On Computer Vision, Graphics and Image Processing), in December, 2014.