R. Venkatesh Babu

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Jogendra Nath KunduResearch Scientist, MetaVerified email at iisc.ac.in
Konda Reddy MopuriIndian Institute of Technology HyderabadVerified email at ai.iith.ac.in
Ravi Kiran SarvadevabhatlaAssistant Professor, Centre for Visual Information Technology, IIIT-Hyderabad, IndiaVerified email at iiit.ac.in
Suraj SrinivasPostdoctoral Research Fellow at Harvard UniversityVerified email at seas.harvard.edu
Varun JampaniResearcher, Google ResearchVerified email at google.com
K. R. RamakrishnanIndian Institute of ScienceVerified email at ee.iisc.ernet.in
Sravanti AddepalliPhD Student, Indian Institute of Science, BangaloreVerified email at iisc.ac.in
Srinivas Kruthiventi S SIndian Institute of Science, BangaloreVerified email at ssl.serc.iisc.in
Anirban ChakrabortyIndian Institute of Science, BangaloreVerified email at iisc.ac.in
Suresh SundaramDepartment of Aerospace Engineering, Indian Institute of ScienceVerified email at iisc.ac.in
K Ram PrabhakarJohns Hopkins UniversityVerified email at jh.edu
S Avinash RamakanthVerified email at ssl.serc.iisc.in
Naveen VenkatSr. Research Scientist, RunwayVerified email at runwayml.com
Andrew PerkisProfessor of media technology, Director of NTNU ARTECVerified email at ntnu.no
Priyanka MandikalGraduate Student in Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
K L NavaneetUniversity of California, DavisVerified email at ucdavis.edu
Aditya GaneshanBrown UniversityVerified email at brown.edu
Sovan BiswasIntel Labs, Past: Universität Bonn, Indian Institute of Science Bangalore, IBM Research IndiaVerified email at intel.com
B.S. VivekTCS ResearchVerified email at tcs.com
Akshay KulkarniMS in Computer Science, University of California San DiegoVerified email at ucsd.edu

R. Venkatesh Babu

CDS, Indian Institute of Science, Bangalore, India

Verified email at iisc.ac.in - Homepage

Computer Vision Deep Learning Image Processing Video Analytics Machine Learning


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Switching convolutional neural network for crowd counting D Babu Sam, S Surya, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017	932	2017
Crowdnet: A deep convolutional network for dense crowd counting L Boominathan, SSS Kruthiventi, RV Babu Proceedings of the 24th ACM international conference on Multimedia, 640-644, 2016	579	2016
Data-free parameter pruning for deep neural networks S Suraj, R Venkatesh Babu Proceedings of the British Machine Vision Conference 2015 (BMVC 2015), 7-10, 2015	563*	2015
Deepfix: A fully convolutional neural network for predicting human eye fixations SSS Kruthiventi, K Ayush, RV Babu IEEE Transactions on Image Processing 26 (9), 4446-4456, 2017	524	2017
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion With Extreme Exposure Image Pairs KR Prabhakar, VS Srikar, RV Babu The IEEE International Conference on Computer Vision (ICCV), 4714-4722, 2017	497	2017
A taxonomy of deep convolutional neural nets for computer vision S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu, SSS Kruthiventi, ... Frontiers in Robotics and AI 2, 36, 2016	285*	2016
No-reference image quality assessment using modified extreme learning machine classifier S Suresh, RV Babu, HJ Kim Applied soft computing 9 (2), 541-552, 2009	280	2009
Deligan: Generative adversarial networks for diverse and limited data S Gurumurthy, R Kiran Sarvadevabhatla, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017	274	2017
Divide and grow: Capturing huge diversity in crowd images with incrementally growing cnn DB Sam, NN Sajjan, RV Babu, M Srinivasan Proceedings of the IEEE conference on computer vision and pattern …, 2018	217	2018
Fast feature fool: A data independent approach to universal adversarial perturbations KR Mopuri, U Garg, RV Babu Proceedings of British Machine Vision Conference (BMVC), 2017	209	2017
Video object segmentation: a compressed domain approach RV Babu, KR Ramakrishnan, SH Srinivasan IEEE Transactions on Circuits and Systems for Video Technology 14 (4), 462-474, 2004	208	2004
Universal source-free domain adaptation JN Kundu, N Venkat, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	206	2020
Training sparse neural networks S Srinivas, A Subramanya, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017	185	2017
Zero-shot knowledge distillation in deep networks GK Nayak, KR Mopuri, V Shaj, VB Radhakrishnan, A Chakraborty International Conference on Machine Learning, 4743-4751, 2019	180	2019
Generalizable data-free objective for crafting universal adversarial perturbations KR Mopuri, A Ganeshan, RV Babu IEEE transactions on pattern analysis and machine intelligence 41 (10), 2452 …, 2018	171	2018
Adadepth: Unsupervised content congruent adaptation for depth estimation JN Kundu, PK Uppala, A Pahuja, RV Babu Proceedings of the IEEE conference on computer vision and pattern …, 2018	171	2018
Locate, size, and count: accurately resolving people in dense crowds via detection DB Sam, SV Peri, MN Sundararaman, A Kamath, RV Babu IEEE transactions on pattern analysis and machine intelligence 43 (8), 2739-2751, 2020	170	2020
Saliency unified: A deep architecture for simultaneous eye fixation prediction and salient object segmentation SSS Kruthiventi, V Gudisa, JH Dholakiya, RV Babu Proceedings of the IEEE conference on computer vision and pattern …, 2016	169	2016
Robust tracking with motion estimation and local kernel-based color modeling RV Babu, P Perez, P Bouthemy Image and Vision computing 25 (8), 1205-1216, 2007	168	2007
Seamseg: Video object segmentation using patch seams S Avinash Ramakanth, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2014	150	2014

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