3DVision@CVIT 3D vision group at CVIT
Group Picture


This is a research group led by Dr Avinash Sharma, affiliated with the Centre for Visual Information Technology (CVIT), IIIT Hyderabad. We primarily work on the computer vision and machine learning problems with a focus on 3D scene understanding and reconstruction. Specifically, we deal with problems where human body is reconstructed from 2D images and analysed in 3D, registration of point clouds of indoor scenes captured from commodity sensors as well as large outdoor scenes captured from LIDAR scanners.

We are looking for motivated PhD students and long-term RAs/interns with interest in 3D computer vision to join us. Please check here for more details.


Research


Publications

Adaptive & Multi-Resolution Procedural Infinite Terrain Generation with Diffusion Models and Perlin Noise
Aryamaan Jain, Avinash Sharma and K S Rajan
ICVGIP 2022
[Project Page] [Paper] [Presentation]

Discretization-Agnostic Deep Self-Supervised 3D Surface Parameterization
Chandradeep Pokhariya*, Shanthika Naik*, Astitva Srivastava and Avinash Sharma
ACM SIGGRAPH Asia Technical Communications 2022
[Project Page] [Paper] [Supplementary] [Presentation]

Deep Self-supervised UV Parameterization for Template-free Textured 3D Digitization of Garments
Shanthika Naik*, Chandradeep Pokhariya*, Astitva Srivastava and Avinash Sharma
Preprint 2022
[Paper]

xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image
Astitva Srivastava, Chandradeep Pokhariya, Sai Sagar Jinka and Avinash Sharma
ACM Multimedia 2022
[Paper]

Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems
Sahib Majithia, Sandeep N. Parameswaran, Sadbhavana Babar, Vikram Garg, Astitva Srivastava and Avinash Sharma
WACV 2021
[Paper]

Automated tree generation using grammar & particle system
Aryamaan Jain, Jyoti Sunkara, Ishaan Shah, Avinash Sharma and K S Rajan
ICVGIP 2021
[Project Page] [Code] [Paper]

Coarse-to-fine 3D clothed human reconstruction using peeled semantic segmentation context
Snehith Goud Routhu, Sai Sagar Jinka and Avinash Sharma
ICVGIP 2021
[Project Page] [Paper]

Attention based Occlusion Removal for Hybrid Telepresence Systems
Surabhi Gupta, Ashwath Shetty, Avinash Sharma
arXiv 2021
[Paper]

SHARP: Reconstruction of People in Loose Clothing
Sai Sagar Jinka, Rohan Chacko, Astitva Srivastava, Avinash Sharma, P.J. Narayanan
arXiv 2021
[Paper]

A-GHN: Attention-based Fusion of Multiple GraphHeat Networks for Structural to Functional Brain Mapping
Subba Reddy Oota, Archi Yadav, Arpita Dash, Surampudi Bapi Raju, Avinash Sharma
bioRxiv 2021
[Paper]

GlocalNet: Class-aware Long-term Human Motion Synthesis
Neeraj Battan, Yudhik Agrawal, Sai Soorya Rao, Aman Goel, Avinash Sharma
WACV 2021
[Paper]

PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction
Sai Sagar Jinka, Rohan Chacko, Avinash Sharma and P. J. Narayanan
3DV 2020
[Project Page] [Code] [Paper] [Teaser Video]

AFN: Attentional Feedback Network based 3D Terrain Super-Resolution
Ashish Kubade, Diptiben Patel, Avinash Sharma, and K. S. Rajan
ACCV 2020
[Code] [Paper]

Feedback Neural Network based Super-resolution of DEM for generating high fidelity features
Ashish Kubade, Avinash Sharma, K S Rajan
IGARSS 2020
[Paper]

Action Quality Assessment using Siamese Network-Based Deep Metric Learning
Hiteshi Jain, Gaurav Harit, Avinash Sharma
ITCSVT 2020
[Paper]

DeepHuMS: Deep Human Motion Signature for 3D Skeletal Sequences
Neeraj Battan, Abbhinav Venkat and Avinash Sharma
ACPR 2019
[Project Page] [Paper] [Teaser Video]

N2NSkip: Learning Highly Sparse Networks using neuron-to-neuron skip connections
Arvind Subramaniam, Avinash Sharma
BMVC 2020
[Project Page] [Code] [Paper]

HumanMeshNet: Polygonal Mesh Recovery of Humans
Abbhinav Venkat, Chaitanya Patel, Yudhik Agrawal and Avinash Sharma
ICCV Workshops 2019
[Project Page] [Code] [Paper] [Teaser Video]

Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model
Sriniwas Govinda Surampudi, Joyneel Misra, Gustavo Deco, Raju Surampudi Bapi, Avinash Sharma, Dipanjan Roy
NeuroImage 2019
[Code] [Paper]

Non-rigid Registration using Spectral Graph Wavelet Features
Alphin J. Thottupattu, Shivin Yadav and Avinash Sharma
ICVGIP 2019
[Paper]

SplineNet: B-spline neural network for efficient classification of 3D data
Sai Sagar Jinka and Avinash Sharma
ICVGIP 2018
[Project Page] [Paper]

Towards View-Invariant Intersection Recognition from Videos using Deep Network Ensembles
Abhijeet Kumar, Gunshi Gupta, Avinash Sharma and K. Madhav Krishna
IROS 2018
[Paper]

Deep Textured 3D Reconstruction of Human Bodies
Abbhinav Venkat, Sai Sagar Jinka and Avinash Sharma
BMVC 2018
[Project Page] [Paper]

Fast multi model motion segmentation on road scenes
US Mehtab Sandhu, Nazrul Haque, Avinash Sharma, K. Madhav Krishna, Shanti Medasani
IV 2018
[Paper]

MKL Based Local Label Diffusion for Automatic Image Annotation
Abhijeet Kumar, Anjali Shenoy and Avinash Sharma
NCVPRIPG 2018
[Project Page] [Paper]

Multiple Kernel Learning Model for Relating Structural and Functional Connectivity in the Brain
Sriniwas Govinda Surampudi, Shruti Naik, Raju Bapi Surampudi, Viktor K Jirsa, Avinash Sharma, Dipanjan Roy
Scientific reports 2018
[Paper]

Multi-trajectory pose correspondences using scale-dependent topological analysis of pose-graphs
Sayantan Datta, Avinash Sharma and K. Madhava Krishna
IROS 2017
[Paper]

SLAM Pose-Graph Robustification Via Multi-Scale Heat-Kernel Analysis
Sayantan Datta, Siddharth Tourani, Avinash Sharma and K. Madhava Krishna
CDC 2016
[Paper]

Combining Multiscale Diffusion Kernels for Learning the Structural and Functional Brain Connectivity
S. G. Surampudi, S. Naik, A. Sharma, R. B. Surampudi, D. Roy
NIPSW 2016
[Paper]

Image Annotation using Multi-scale Hypergraph Heat Diffusion Framework
Venkatesh N. Murthy, Avinash Sharma, Visesh Chari, and R. Manmatha
ICMR 2016
[Paper]