IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Author "Subramanyam, A V (Advisor)"

Browsing Computer Science and Engineering by Author "Subramanyam, A V (Advisor)"

Sort by: Order: Results:

  • Airborne visual tracking and re-identification & obstacle avoidance using deep reinforcement learning for UAV's 
    Saini, Kunal; Subramanyam, A V (Advisor) (IIIT-Delhi, 2018-04-18)
    Visual tracking and person re-identification has gathered a lot of attention in computer vision due to its challenging nature and importance in surveillance applications. In this work, we explore the on-board visual tracking ...
  • Channel-graph regularized correlation filter for visual object tracking 
    Tyagi, Arjun; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-08)
    Correlation filter (CF) based tracker often disregard or weakly incorporate the importance of feature channels as well as channel similarity. To address this, we propose a channel-graph regularization correlation filter-based ...
  • Modality guided representation learning for person re-identification 
    Kansal, Kajal; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-05)
    The rise of surveillance cameras has led to a significant focus on large scale deployment of intelligent surveillance systems. Person re-identification (Re-ID) is one of the quintessential surveillance problems. Person ...
  • Regularized ensemble correlation filter tracking 
    Jain, Monika; Subramanyam, A V (Advisor) (IIIT-Delhi, 2022-06)
    Correlation Filter based visual trackers have demonstrated tremendous progress in object tracking. These trackers primarily use hierarchical features learned from multiple layers of a deep network. However, issues related ...
  • Unsupervised learning of low rank subspace projection using graph embedding 
    Jain, Kshitiz; Priysha; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-05-28)
    Subspace learning has often been explored for various applications such as dimensionality reduction, denoising, clustering and feature extraction among others. However, low rank subspace learning for clustering as well ...
  • Unsupervised meta generative object re-identification 
    Giri, Biman; Subramanyam, A V (Advisor) (IIIT-Delhi, 2022-05)
    Unsupervised domain adaptation severely suffers from huge domain gap in fine grained recognition tasks such as vehicle re-identification (re-id). Existing works either focus on fully unsupervised methods using tracklet or ...
  • Video inpainting detection using inconsistencies in optical flow 
    Saxena, Shobhita; Subramanyam, A V (Advisor) (2015-12-03)
    In recent years due to advancement in video and image editing tools it has become increasingly easy to modify the multimedia content. The doctored videos are very di cult to identify through visual examination as ...
  • Visual tracking using analysis dictionary learning 
    Sitani, Divya (Advisor); Subramanyam, A V (Advisor); Majumdar, Angshul (Advisor) (2017-08)
    Visual tracking or object tracking is the process of estimating the state of the target in successive frames of a video sequence. It is an integral part of a plethora of applications like security, surveillance, navigation ...

Search Repository


Advanced Search

Browse

My Account