10 citations · 16 across the 9 of their papers we have counts for
9 papers
DiffSTR: Controlled Diffusion Models for Scene Text Removal
Sanhita Pathak, Vinay Kaushik, Brejesh Lall
To prevent unauthorized use of text in images, Scene Text Removal (STR) has become a crucial task. It focuses on automatically removing text and replacing it with a natural, text-l…
GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon
Sanhita Pathak, Vinay Kaushik, Brejesh Lall
Virtual try-on, a rapidly evolving field in computer vision, is transforming e-commerce by improving customer experiences through precise garment warping and seamless integration o…
Single Stage Warped Cloth Learning and Semantic-Contextual Attention Feature Fusion for Virtual TryOn
Sanhita Pathak, Vinay Kaushik, Brejesh Lall
Image-based virtual try-on aims to fit an in-shop garment onto a clothed person image. Garment warping, which aligns the target garment with the corresponding body parts in the per…
MaskMTL: Attribute prediction in masked facial images with deep multitask learning
Prerana Mukherjee, Vinay Kaushik, Ronak Gupta +3
Predicting attributes in the landmark free facial images is itself a challenging task which gets further complicated when the face gets occluded due to the usage of masks. Smart ac…
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation
Vinay Kaushik, Kartik Jindgar, Brejesh Lall
Self-supervised learning of depth has been a highly studied topic of research as it alleviates the requirement of having ground truth annotations for predicting depth. Depth is lea…
Deep feature fusion for self-supervised monocular depth prediction
Vinay Kaushik, Brejesh Lall
Recent advances in end-to-end unsupervised learning has significantly improved the performance of monocular depth prediction and alleviated the requirement of ground truth depth. A…
Aerial multi-object tracking by detection using deep association networks
Ajit Jadhav, Prerana Mukherjee, Vinay Kaushik +1
A lot a research is focused on object detection and it has achieved significant advances with deep learning techniques in recent years. Inspite of the existing research, these algo…
Fast Hierarchical Depth Map Computation from Stereo
Vinay Kaushik, Brejesh Lall
Disparity by Block Matching stereo is usually used in applications with limited computational power in order to get depth estimates. However, the research on simple stereo methods…
Nrityantar: Pose oblivious Indian classical dance sequence classification system
Vinay Kaushik, Prerana Mukherjee, Brejesh Lall
In this paper, we attempt to advance the research work done in human action recognition to a rather specialized application namely Indian Classical Dance (ICD) classification. The…