The LNM Institute of Information Technology

Recent Publications

  • Kumkum Motwani, Saanvi Chabaque, and Aloke Datta, “Noise Removal from Ultrasound Images”, 11th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG 2026), July 2026
  • Shrusti Porwal, Preety Singh, Anukriti Bansal, Distribution-Aware Contrastive Learning Framework for Unsupervised Accident Classification, 11th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG 2026), July 2026
  • Shrusti Porwal, Preety Singh, Identification of Collided Vehicles in Indian Traffic Accidents using Hierarchical Deep Learning Framework, 21st International Conference on Computer Vision Theory and Applications (VISAPP 2026), pp. 389-396, March 2026
  • Parul Khandelwal, Preety Singh, Rajbir Kaur, LightGraph: Efficient Multi-modal Sparse Graph Attention Network for Crisis Tweet Classification, 7th International Conference on Machine Learning, Image Processing, Network Security, and Data Science (MIND-2025), December 2025
  • Shrusti Porwal, Preety Singh, Anukriti Bansal, InVeD: Vision-based Vehicle Detection for Heterogeneous and Non-lane-based Indian Traffic, 10th International Conference on Computer Vision and Image Processing (CVIP 2025), December 2025
  • Maihi, R. Sharma, T. Goel, S. Maheshwari. A. Dadhich. and A. Saini “Alzheimer’s disease diagnosis using optimized ensemble deep learning model,” in Deep Learning Assessment of Neurological Imaging, T. Goel, M. Tanveer, A. Hussain, and Z. Hussain, Eds. Academic Press, 2026
  • Maheshwari, A. Saini, A. Dadhich, V. K. Sharma, R. Sharma, and M. Al Dhaifallah, “Issues and challenges of neurological disorders diagnosis research,” in Deep Learning Assessment of Neurological Imaging, T. Goel, M. Tanveer, A. Hussain, and Z. Hussain, Eds. Academic Press, 2026