3 citations · 4 across the 5 of their papers we have counts for
6 papers
TransDocs: Optical Character Recognition with word to word translation
Abhishek Bamotra, Phani Krishna Uppala
While OCR has been used in various applications, its output is not always accurate, leading to misfit words. This research work focuses on improving the optical character recogniti…
Learning video embedding space with Natural Language Supervision
Phani Krishna Uppala, Abhishek Bamotra, Shriti Priya +1
The recent success of the CLIP model has shown its potential to be applied to a wide range of vision and language tasks. However this only establishes embedding space relationship…
Dynamic Object Removal for Effective Slam
Phani Krishna Uppala, Abhishek Bamotra, Raj Kolamuri
This research paper focuses on the problem of dynamic objects and their impact on effective motion planning and localization. The paper proposes a two-step process to address this…
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold
Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala +1
An unsupervised human action modeling framework can provide useful pose-sequence representation, which can be utilized in a variety of pose analysis applications. In this work we p…
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions
Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu
Deep learning models are susceptible to input specific noise, called adversarial perturbations. Moreover, there exist input-agnostic noise, called Universal Adversarial Perturbatio…
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja +1
Supervised deep learning methods have shown promising results for the task of monocular depth estimation; but acquiring ground truth is costly, and prone to noise as well as inaccu…