2 citations · 4 across the 5 of their papers we have counts for
5 papers
L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation
Vandan Gorade, Sparsh Mittal, Neethi Dasu +3
Continuous Latent Space (CLS) and Discrete Latent Space (DLS) models, like AttnUNet and VQUNet, have excelled in medical image segmentation. In contrast, Synergistic Continuous and…
Numin: Weighted-Majority Ensembles for Intraday Trading
Aniruddha Mukherjee, Rekha Singhal, Gautam Shroff
We consider the application of machine learning models for short-term intra-day trading in equities. We envisage a scenario wherein machine learning models are submitted by indepen…
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
Onkar Susladkar, Jishu Sen Gupta, Chirag Sehgal +2
The spatio-temporal complexity of video data presents significant challenges in tasks such as compression, generation, and inpainting. We present four key contributions to address…
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation
Vandan Gorade, Sparsh Mittal, Debesh Jha +2
Deep learning has demonstrated remarkable achievements in medical image segmentation. However, prevailing deep learning models struggle with poor generalization due to (i) intra-cl…
TPFNet: A Novel Text In-painting Transformer for Text Removal
Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh +3
Text erasure from an image is helpful for various tasks such as image editing and privacy preservation. In this paper, we present TPFNet, a novel one-stage (end-toend) network for…