Search Results for author: Rohit Jena

Found 11 papers, 4 papers with code

SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos

no code implementations17 Nov 2023 Rohit Jena, Ganesh Subramanian Iyer, Siddharth Choudhary, Brandon Smith, Pratik Chaudhari, James Gee

We propose SplatArmor, a novel approach for recovering detailed and animatable human models by `armoring' a parameterized body model with 3D Gaussians.

Neural Rendering

Mesh Strikes Back: Fast and Efficient Human Reconstruction from RGB videos

no code implementations15 Mar 2023 Rohit Jena, Pratik Chaudhari, James Gee, Ganesh Iyer, Siddharth Choudhary, Brandon M. Smith

Human reconstruction and synthesis from monocular RGB videos is a challenging problem due to clothing, occlusion, texture discontinuities and sharpness, and framespecific pose changes.

Novel View Synthesis

Beyond mAP: Towards better evaluation of instance segmentation

no code implementations CVPR 2023 Rohit Jena, Lukas Zhornyak, Nehal Doiphode, Pratik Chaudhari, Vivek Buch, James Gee, Jianbo Shi

Correctness of instance segmentation constitutes counting the number of objects, correctly localizing all predictions and classifying each localized prediction.

Instance Segmentation Segmentation +1

Self-Supervised Vessel Enhancement Using Flow-Based Consistencies

1 code implementation13 Jan 2021 Rohit Jena, Sumedha Singla, Kayhan Batmanghelich

Our experiments on various public datasets in 2D and 3D show that our method performs better than unsupervised methods while learning useful transferable features from unlabeled data.

Inductive Bias

Predicting Human Strategies in Simulated Search and Rescue Task

no code implementations15 Nov 2020 Vidhi Jain, Rohit Jena, Huao Li, Tejus Gupta, Dana Hughes, Michael Lewis, Katia Sycara

In our efforts to model the rescuer's mind, we begin with a simple simulated search and rescue task in Minecraft with human participants.

Addressing reward bias in Adversarial Imitation Learning with neutral reward functions

1 code implementation20 Sep 2020 Rohit Jena, Siddharth Agrawal, Katia Sycara

Generative Adversarial Imitation Learning suffers from the fundamental problem of reward bias stemming from the choice of reward functions used in the algorithm.

Imitation Learning

MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning

1 code implementation10 Apr 2020 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 examples.

Few-Shot Learning

Augmenting GAIL with BC for sample efficient imitation learning

2 code implementations21 Jan 2020 Rohit Jena, Changliu Liu, Katia Sycara

Behavior cloning and GAIL are two widely used methods for performing imitation learning.

Imitation Learning

An approach to image denoising using manifold approximation without clean images

no code implementations28 Apr 2019 Rohit Jena

Most of these learning-based algorithms use a large amount of clean data during the training process.

Deblurring Image Denoising +3

Out of the Box: A combined approach for handling occlusion in Human Pose Estimation

no code implementations25 Apr 2019 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, intertwining of people, and in general crowds.

3D Pose Estimation Disentanglement

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