activity
20212026
most citedDFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation

17 citations · 40 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

FaceSnap: Real-Time Personalized Lightstage Facial Performance Capture

Rukhshanda Hussain, Noé Artru, Emeline Got +6

Lightstage facial capture produces production-quality digital humans, but it is resource and labor-intensive. Multi-camera setups, hours of computation, and massive data storage cr…

cs.CV2026

Skullptor: High Fidelity 3D Head Reconstruction in Seconds with Multi-View Normal Prediction

Noé Artru, Rukhshanda Hussain, Emeline Got +3

Reconstructing high-fidelity 3D head geometry from images is critical for a wide range of applications, yet existing methods face fundamental limitations. Traditional photogrammetr…

cs.CV2024

FSViewFusion: Few-Shots View Generation of Novel Objects

Rukhshanda Hussain, Hui Xian Grace Lim, Borchun Chen +2

Novel view synthesis has observed tremendous developments since the arrival of NeRFs. However, Nerf models overfit on a single scene, lacking generalization to out of distribution…

cs.CV2023

Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation

Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya +2

Recently, CLIP-based approaches have exhibited remarkable performance on generalization and few-shot learning tasks, fueled by the power of contrastive language-vision pre-training…

cs.CV2023★ 6 cited

UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection

Rukhshanda Hussain, Hritam Basak

Glaucoma is a chronic visual disease that may cause permanent irreversible blindness. Measurement of the cup-to-disc ratio (CDR) plays a pivotal role in the detection of glaucoma i…

eess.IV2022★ 17 cited

An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation

Hritam Basak, Rajarshi Bhattacharya, Rukhshanda Hussain +1

The scarcity of pixel-level annotation is a prevalent problem in medical image segmentation tasks. In this paper, we introduce a novel regularization strategy involving interpolati…

eess.IV2021★ 17 cited

DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation

Hritam Basak, Rukhshanda Hussain, Ajay Rana

The rapid increment of morbidity of brain stroke in the last few years have been a driving force towards fast and accurate segmentation of stroke lesions from brain MRI images. Wit…