Seguir
R. Venkatesh Babu
R. Venkatesh Babu
CDS, Indian Institute of Science, Bangalore, India
Dirección de correo verificada de iisc.ac.in - Página principal
Título
Citado por
Citado por
Año
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
11732017
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
7712017
Data-free parameter pruning for deep neural networks
S Suraj, R Venkatesh Babu
British Machine Vision Conference, 2015
720*2015
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
6842016
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
6152017
Universal source-free domain adaptation
JN Kundu, N Venkat, RV Babu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3872020
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
368*2016
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
3632017
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
2972020
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
2932009
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
2892019
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
2702017
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
2672018
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
2562018
Training sparse neural networks
S Srinivas, A Subramanya, R Venkatesh Babu
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2482017
3D-LMNet: Latent embedding matching for accurate and diverse 3D point cloud reconstruction from a single image
P Mandikal, KL Navaneet, M Agarwal, RV Babu
Proceedings of British Machine Vision Conference, 2018
227*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
2142018
Nag: Network for adversary generation
KR Mopuri, U Ojha, U Garg, RV Babu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2062018
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
2062004
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
1882016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20