7 citations · 39 across the 21 of their papers we have counts for
17 papers · 1 filter
Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI
Ganesh Ajjanagadde, Chris Alexiuk, Luke Alonso +106
We introduce Nemotron 3.5 Bolt 74B-A9B 24GB, a hybrid Mamba-Transformer vision-language model that optimizes speed and intelligence per GB of memory used for local agentic workload…
Accelerating Video Diffusion via Training-Free Trajectory Routing
Mustafa Munir, Huy Vu, Shreyas Misra +7
Video diffusion is computationally expensive, as it requires executing a large model across many denoising steps. Even with step-distillation, inference remains expensive because e…
Factored Levenberg-Marquardt for Diffeomorphic Image Registration: An efficient optimizer for FireANTs
Rohit Jena, Pratik Chaudhari, James C. Gee
FireANTs introduced a novel Eulerian descent method for plug-and-play behavior with arbitrary optimizers adapted for diffeomorphic image registration as a test-time optimization pr…
The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge
Rohit Jena, Pratik Chaudhari, James C. Gee
The LUMIR challenge represents an important benchmark for evaluating deformable image registration methods on large-scale neuroimaging data. While the challenge demonstrates that m…
A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration
Rohit Jena, Vedant Zope, Pratik Chaudhari +1
In this work, we propose FFDP, a set of IO-aware non-GEMM fused kernels supplemented with a distributed framework for image registration at unprecedented scales. Image registration…
Achieving detailed medial temporal lobe segmentation with upsampled isotropic training from implicit neural representation
Yue Li, Pulkit Khandelwal, Rohit Jena +8
Imaging biomarkers in magnetic resonance imaging (MRI) are important tools for diagnosing, tracking and treating Alzheimer's disease (AD). Neurofibrillary tau pathology in AD is cl…
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models
Rohit Jena, Ali Taghibakhshi, Sahil Jain +3
Text-to-image (T2I) diffusion models have become prominent tools for generating high-fidelity images from text prompts. However, when trained on unfiltered internet data, these mod…
Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration
Rohit Jena, Pratik Chaudhari, James C. Gee
Deep Learning in Image Registration (DLIR) methods have been tremendously successful in image registration due to their speed and ability to incorporate weak label supervision at t…
Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization
Yifan Wu, Mengjin Dong, Rohit Jena +2
Deformable image registration (DIR) is crucial in medical image analysis, enabling the exploration of biological dynamics such as organ motions and longitudinal changes in imaging.…
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Matching
Rohit Jena, Pratik Chaudhari, James C. Gee
The paper proposes FireANTs, a multi-scale Adaptive Riemannian Optimization algorithm for dense diffeomorphic image matching. Existing state-of-the-art methods for diffeomorphic im…
Towards Establishing Dense Correspondence on Multiview Coronary Angiography: From Point-to-Point to Curve-to-Curve Query Matching
Yifan Wu, Rohit Jena, Mehmet Gulsun +3
Coronary angiography is the gold standard imaging technique for studying and diagnosing coronary artery disease. However, the resulting 2D X-ray projections lose 3D information and…
SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos
Rohit Jena, Ganesh Subramanian Iyer, Siddharth Choudhary +3
We propose SplatArmor, a novel approach for recovering detailed and animatable human models by `armoring' a parameterized body model with 3D Gaussians. Our approach represents the…
Mesh Strikes Back: Fast and Efficient Human Reconstruction from RGB videos
Rohit Jena, Pratik Chaudhari, James Gee +3
Human reconstruction and synthesis from monocular RGB videos is a challenging problem due to clothing, occlusion, texture discontinuities and sharpness, and framespecific pose chan…
Beyond mAP: Towards better evaluation of instance segmentation
Rohit Jena, Lukas Zhornyak, Nehal Doiphode +4
Correctness of instance segmentation constitutes counting the number of objects, correctly localizing all predictions and classifying each localized prediction. Average Precision i…
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning
Rohit Jena, Shirsendu Sukanta Halder, Katia Sycara
Despite the recent developments in vision-related problems using deep neural networks, there still remains a wide scope in the improvement of generalizing these models to unseen ex…
An approach to image denoising using manifold approximation without clean images
Rohit Jena
Image restoration has been an extensively researched topic in numerous fields. With the advent of deep learning, a lot of the current algorithms were replaced by algorithms that ar…
Out of the Box: A combined approach for handling occlusion in Human Pose Estimation
Rohit Jena
Human Pose estimation is a challenging problem, especially in the case of 3D pose estimation from 2D images due to many different factors like occlusion, depth ambiguities, intertw…