5 papers
IsoSignVid2Aud: Sign Language Video to Audio Conversion without Text Intermediaries
Harsh Kavediya, Vighnesh Nayak, Bheeshm Sharma +1
Sign language to spoken language audio translation is important to connect the hearing- and speech-challenged humans with others. We consider sign language videos with isolated sig…
RASALoRE: Region Aware Spatial Attention with Location-based Random Embeddings for Weakly Supervised Anomaly Detection in Brain MRI Scans
Bheeshm Sharma, Karthikeyan Jaganathan, Balamurugan Palaniappan
Weakly Supervised Anomaly detection (WSAD) in brain MRI scans is an important challenge useful to obtain quick and accurate detection of brain anomalies when precise pixel-level an…
SLaM-DiMM: Shared Latent Modeling for Diffusion Based Missing Modality Synthesis in MRI
Bhavesh Sandbhor, Bheeshm Sharma, Balamurugan Palaniappan
Brain MRI scans are often found in four modalities, consisting of T1-weighted with and without contrast enhancement (T1ce and T1w), T2-weighted imaging (T2w), and Flair. Leveraging…
MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI
Vivek Kumar Trivedi, Bheeshm Sharma, P. Balamurugan
Detecting anomalies in brain MRI scans using supervised deep learning methods presents challenges due to anatomical diversity and labor-intensive requirement of pixel-level annotat…
Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems
Chhavi Sharma, Vishnu Narayanan, P. Balamurugan
We consider a class of non-smooth strongly convex-strongly concave saddle point problems in a decentralized setting without a central server. To solve a consensus formulation of pr…