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Ravi Kiran Sarvadevabhatla

Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads


Apr 18, 2022
Aman Goyal, Dev Agarwal, Anbumani Subramanian, C. V. Jawahar, Ravi Kiran Sarvadevabhatla, Rohit Saluja

* 10 pages, 9 figures, Accepted at The 5th Workshop and Prize Challenge: Bridging the Gap between Computational Photography and Visual Recognition (UG2+) in conjunction with IEEE CVPR 2022 

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Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches


Apr 10, 2022
Sravya Vardhani Shivapuja, Ashwin Gopinath, Ayush Gupta, Ganesh Ramakrishnan, Ravi Kiran Sarvadevabhatla

* Extended version of arXiv:2108.08784. In review 

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Automatic Quantification and Visualization of Street Trees


Jan 17, 2022
Arpit Bahety, Rohit Saluja, Ravi Kiran Sarvadevabhatla, Anbumani Subramanian, C. V. Jawahar

* Accepted at ICVGIP 2021 

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MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion


Oct 21, 2021
Shubh Maheshwari, Debtanu Gupta, Ravi Kiran Sarvadevabhatla

* Accepted at WACV 2022. Project page : https://skeleton.iiit.ac.in/mugl 

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MeronymNet: A Hierarchical Approach for Unified and Controllable Multi-Category Object Generation


Oct 17, 2021
Rishabh Baghel, Abhishek Trivedi, Tejas Ravichandran, Ravi Kiran Sarvadevabhatla

* Accepted at ACM Multimedia (ACMMM) 2021 [ORAL] . Website : https://meronymnet.github.io/. arXiv admin note: text overlap with arXiv:2006.00190 

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Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts


Aug 21, 2021
Prema Satish Sharan, Sowmya Aitha, Amandeep Kumar, Abhishek Trivedi, Aaron Augustine, Ravi Kiran Sarvadevabhatla

* Accepted at ICDAR-21. Watch teaser video https://www.youtube.com/watch?v=V4XWngkrtxQ , code and pretrained models https://github.com/ihdia/Palmira , project page https://ihdia.iiit.ac.in/Palmira 

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BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation


Aug 21, 2021
Abhishek Trivedi, Ravi Kiran Sarvadevabhatla

* Accepted at ICDAR-21 for oral presentation - watch video https://www.youtube.com/watch?v=NfeDrFUJuxc. View webpage http://ihdia.iiit.ac.in/BoundaryNet/. Code and pretrained models https://github.com/ihdia/BoundaryNet 

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Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting


Aug 19, 2021
Sravya Vardhani Shivapuja, Mansi Pradeep Khamkar, Divij Bajaj, Ganesh Ramakrishnan, Ravi Kiran Sarvadevabhatla

* Accepted at ACM Multimedia (ACMMM) 2021 . Code, pretrained models and interactive visualizations can be viewed at our project page https://deepcount.iiit.ac.in/ 

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Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization


Jul 06, 2021
Anurag Bagchi, Jazib Mahmood, Dolton Fernandes, Ravi Kiran Sarvadevabhatla


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RackLay: Multi-Layer Layout Estimation for Warehouse Racks


Mar 17, 2021
Meher Shashwat Nigam, Avinash Prabhu, Anurag Sahu, Puru Gupta, Tanvi Karandikar, N. Sai Shankar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna

* Visit our project repository at https://github.com/Avinash2468/RackLay 

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NTU60-X: Towards Skeleton-based Recognition of Subtle Human Actions


Jan 29, 2021
Anirudh Thatipelli, Neel Trivedi, Ravi Kiran Sarvadevabhatla

* Code repository at https://github.com/skelemoa/ntu-x 

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Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition


Jan 27, 2021
Pranay Gupta, Divyanshu Sharma, Ravi Kiran Sarvadevabhatla

* Code and pretrained models available at https://github.com/skelemoa/synse-zsl 

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Early Bird: Loop Closures from Opposing Viewpoints for Perceptually-Aliased Indoor Environments


Oct 03, 2020
Satyajit Tourani, Dhagash Desai, Udit Singh Parihar, Sourav Garg, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna

* Under review 

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Quo Vadis, Skeleton Action Recognition ?


Jul 04, 2020
Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal, Shubh Maheshwari, Neel Trivedi, Sourav Das, Ravi Kiran Sarvadevabhatla

* Reference video : https://www.youtube.com/watch?v=YKjQcV_2gLU 

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OPAL-Net: A Generative Model for Part-based Object Layout Generation


May 30, 2020
Rishabh Baghel, Ravi Kiran Sarvadevabhatla

* Code repository at https://github.com/atmacvit/opalnet 

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Topological Mapping for Manhattan-like Repetitive Environments


Mar 10, 2020
Sai Shubodh Puligilla, Satyajit Tourani, Tushar Vaidya, Udit Singh Parihar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna

* Accepted to ICRA 2020. Project Page: https://github.com/Shubodh/ICRA2020 

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Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts


Dec 15, 2019
Abhishek Prusty, Sowmya Aitha, Abhishek Trivedi, Ravi Kiran Sarvadevabhatla

* Oral presentation at International Conference on Document Analysis and Recognition (ICDAR) - 2019. For dataset, pre-trained networks and additional details, visit project page at http://ihdia.iiit.ac.in/ 

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Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification


Nov 06, 2018
Navaneet K L, Ravi Kiran Sarvadevabhatla, Shashank Shekhar, R. Venkatesh Babu, Anirban Chakraborty


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Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing


Jan 29, 2018
Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, Venkatesh Babu Radhakrishnan

* To be presented at AAAI-2018. Code, pre-trained models and dataset at github.com/val-iisc/sketchguess 

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SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks


Sep 05, 2017
Ravi Kiran Sarvadevabhatla, Isht Dwivedi, Abhijat Biswas, Sahil Manocha, R. Venkatesh Babu

* A shorter version of this submission was accepted at ACM Multimedia (ACMMM) 2017. Code, annotated datasets and pre-trained models available at https://github.com/val-iisc/sketch-parse 

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DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data


Jun 07, 2017
Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan

* Accepted at CVPR-2017. Code for training the GAN models and computing modified inception-scores can be found at https://github.com/val-iisc/deligan 

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Object category understanding via eye fixations on freehand sketches


Mar 20, 2017
Ravi Kiran Sarvadevabhatla, Sudharshan Suresh, R. Venkatesh Babu

* Accepted for publication in Transactions on Image Processing (http://ieeexplore.ieee.org/document/7866001/

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'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems


Nov 24, 2016
Ravi Kiran Sarvadevabhatla, Shanthakumar Venkatraman, R. Venkatesh Babu

* Extended version of our ACCV-2016 paper. Author formatting modified 

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Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition


Aug 11, 2016
Ravi Kiran Sarvadevabhatla, Jogendra Kundu, Babu R. Venkatesh

* Accepted at ACMMM 2016. Code and models at https://github.com/val-iisc/sketch-object-recognition 

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SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition


Jul 29, 2016
Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S S Kruthiventi, Venkatesh Babu R

* Accepted at ACMMM 2016. The first two authors contributed equally. Code and models at https://github.com/val-iisc/swiden 

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A Taxonomy of Deep Convolutional Neural Nets for Computer Vision


Jan 25, 2016
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S S Kruthiventi, R. Venkatesh Babu

* Frontiers in Robotics and AI 2(36), January 2016 
* Published in Frontiers in Robotics and AI (http://goo.gl/6691Bm

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