default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVenkatesh Babu Radhakrishnan
Venkatesh Babu R. – R. Venkatesh Babu – Radhakrishnan Venkatesh Babu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c184]Rishubh Parihar, Abhijnya Bhat, Abhipsa Basu, Saswat Mallick, Jogendra Nath Kundu, R. Venkatesh Babu:
Balancing Act: Distribution-Guided Debiasing in Diffusion Models. CVPR 2024: 6668-6678- [c183]Harsh Rangwani, Pradipto Mondal, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu:
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. CVPR 2024: 23396-23406 - [c182]Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu:
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification. CVPR 2024: 23922-23932 - [c181]Rishubh Parihar, Sachidanand VS, Sabariswaran Mani, Tejan Karmali, R. Venkatesh Babu:
PreciseControl: Enhancing Text-to-Image Diffusion Models with Fine-Grained Attribute Control. ECCV (82) 2024: 469-487 - [c180]Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan:
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. ICLR 2024 - [c179]Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni
, Jogendra Nath Kundu, R. Venkatesh Babu:
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. WACV 2024: 1893-1902 - [c178]M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty:
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. WACV 2024: 2276-2285 - [i120]Rishubh Parihar, Abhijnya Bhat, Saswat Mallick, Abhipsa Basu, Jogendra Nath Kundu, R. Venkatesh Babu:
Balancing Act: Distribution-Guided Debiasing in Diffusion Models. CoRR abs/2402.18206 (2024) - [i119]Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan:
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR abs/2403.18301 (2024) - [i118]Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu:
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. CoRR abs/2404.02900 (2024) - [i117]Sravanti Addepalli, Priyam Dey, R. Venkatesh Babu:
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations. CoRR abs/2406.05796 (2024) - [i116]Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam:
Crafting Parts for Expressive Object Composition. CoRR abs/2406.10197 (2024) - [i115]Rishubh Parihar, Harsh Gupta, Sachidanand VS, R. Venkatesh Babu:
Text2Place: Affordance-aware Text Guided Human Placement. CoRR abs/2407.15446 (2024) - [i114]Rishubh Parihar, Sachidanand VS, Sabariswaran Mani, Tejan Karmali, R. Venkatesh Babu:
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control. CoRR abs/2408.05083 (2024) - [i113]Ankit Dhiman, Manan Shah, Rishubh Parihar, Yash Bhalgat, Lokesh R. Boregowda, R. Venkatesh Babu:
Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections. CoRR abs/2409.14677 (2024) - 2023
- [c177]Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu:
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CVPR Workshops 2023: 2298-2305 - [c176]Prasanna B, Sunandini Sanyal, R. Venkatesh Babu:
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CVPR Workshops 2023: 2457-2463 - [c175]Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. CVPR 2023: 5987-5996 - [c174]Abhipsa Basu, Sravanti Addepalli, R. Venkatesh Babu:
RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases. CVPR 2023: 11671-11680 - [c173]Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu:
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CVPR 2023: 16048-16059 - [c172]Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi:
Inspecting the Geographical Representativeness of Images from Text-to-Image Models. ICCV 2023: 5113-5124 - [c171]Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu:
Strata-NeRF : Neural Radiance Fields for Stratified Scenes. ICCV 2023: 17557-17568 - [c170]Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu:
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. ICCV 2023: 18882-18891 - [c169]Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain:
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. ICLR 2023 - [i112]Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu:
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CoRR abs/2302.14685 (2023) - [i111]K. Ram Prabhakar, Vishal Vinod, Nihar Ranjan Sahoo, R. Venkatesh Babu:
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. CoRR abs/2303.15528 (2023) - [i110]Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu:
CapsFlow: Optical Flow Estimation with Capsule Networks. CoRR abs/2304.00306 (2023) - [i109]Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs. CoRR abs/2304.05866 (2023) - [i108]Prasanna B, Sunandini Sanyal, R. Venkatesh Babu:
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CoRR abs/2304.07560 (2023) - [i107]Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu:
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CoRR abs/2304.10446 (2023) - [i106]Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan:
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR abs/2304.14738 (2023) - [i105]Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi:
Inspecting the Geographical Representativeness of Images from Text-to-Image Models. CoRR abs/2305.11080 (2023) - [i104]Rishubh Parihar, Raghav Magazine, Piyush Tiwari, R. Venkatesh Babu:
We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space. CoRR abs/2306.00559 (2023) - [i103]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR abs/2306.06462 (2023) - [i102]Ankit Dhiman, Srinath R, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu:
Strata-NeRF : Neural Radiance Fields for Stratified Scenes. CoRR abs/2308.10337 (2023) - [i101]Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu:
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. CoRR abs/2308.14023 (2023) - [i100]Ankit Dhiman, R. Srinath, Srinjay Sarkar, Lokesh R. Boregowda, R. Venkatesh Babu:
CoRF : Colorizing Radiance Fields using Knowledge Distillation. CoRR abs/2309.07668 (2023) - [i99]Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu:
Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks. CoRR abs/2310.08255 (2023) - [i98]Rishubh Parihar, Prasanna Balaji, Raghav Magazine, Sarthak Vora, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Exploring Attribute Variations in Style-based GANs using Diffusion Models. CoRR abs/2311.16052 (2023) - [i97]Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu:
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. CoRR abs/2311.16294 (2023) - 2022
- [c168]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan:
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. AAAI 2022: 1220-1227 - [c167]Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan:
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. AAAI 2022: 2162-2170 - [c166]Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu:
SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. CVPR Workshops 2022: 22-32 - [c165]Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu:
Towards Data-Free Model Stealing in a Hard Label Setting. CVPR 2022: 15263-15272 - [c164]Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CVPR 2022: 20416-20427 - [c163]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. ECCV (30) 2022: 177-194 - [c162]Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel:
Completely Self-supervised Crowd Counting via Distribution Matching. ECCV (31) 2022: 186-204 - [c161]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Scaling Adversarial Training to Large Perturbation Bounds. ECCV (5) 2022: 301-316 - [c160]Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Improving GANs for Long-Tailed Data Through Group Spectral Regularization. ECCV (15) 2022: 426-442 - [c159]Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu:
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. ECCV (15) 2022: 443-459 - [c158]Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu:
Towards Efficient and Effective Self-supervised Learning of Visual Representations. ECCV (31) 2022: 523-538 - [c157]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, Venkatesh Babu Radhakrishnan:
Balancing Discriminability and Transferability for Source-Free Domain Adaptation. ICML 2022: 11710-11728 - [c156]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan:
A Closer Look at Smoothness in Domain Adversarial Training. ICML 2022: 18378-18399 - [c155]Deepak Babu Sam, Jimmy Joseph, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan:
Dense or Sparse: Crowd Counting with Binary Supervision. ICVGIP 2022: 50:1-50:9 - [c154]Sravanti Addepalli, Samyak Jain, Venkatesh Babu R.:
Efficient and Effective Augmentation Strategy for Adversarial Training. NeurIPS 2022 - [c153]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, Venkatesh Babu R.:
Subsidiary Prototype Alignment for Universal Domain Adaptation. NeurIPS 2022 - [c152]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.:
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. NeurIPS 2022 - [c151]Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.:
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. NeurIPS 2022 - [c150]Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu:
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. WACV 2022: 3046-3055 - [i96]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, R. Venkatesh Babu:
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. CoRR abs/2202.04287 (2022) - [i95]Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Kumar Singh, R. Venkatesh Babu:
SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. CoRR abs/2203.07824 (2022) - [i94]Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CoRR abs/2203.15293 (2022) - [i93]Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, R. Venkatesh Babu:
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. CoRR abs/2204.01276 (2022) - [i92]Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. CoRR abs/2204.01971 (2022) - [i91]Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu:
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. CoRR abs/2204.02958 (2022) - [i90]Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu:
Towards Data-Free Model Stealing in a Hard Label Setting. CoRR abs/2204.11022 (2022) - [i89]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, R. Venkatesh Babu:
Balancing Discriminability and Transferability for Source-Free Domain Adaptation. CoRR abs/2206.08009 (2022) - [i88]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, R. Venkatesh Babu:
A Closer Look at Smoothness in Domain Adversarial Training. CoRR abs/2206.08213 (2022) - [i87]K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Segmentation Guided Deep HDR Deghosting. CoRR abs/2207.01229 (2022) - [i86]Rishubh Parihar, Ankit Dhiman, Tejan Karmali, R. Venkatesh Babu:
Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration. CoRR abs/2207.09855 (2022) - [i85]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. CoRR abs/2207.13247 (2022) - [i84]Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu:
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. CoRR abs/2208.03764 (2022) - [i83]Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Improving GANs for Long-Tailed Data through Group Spectral Regularization. CoRR abs/2208.09932 (2022) - [i82]Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, Prateek Jain:
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. CoRR abs/2210.01360 (2022) - [i81]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Scaling Adversarial Training to Large Perturbation Bounds. CoRR abs/2210.09852 (2022) - [i80]Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu:
Towards Efficient and Effective Self-Supervised Learning of Visual Representations. CoRR abs/2210.09866 (2022) - [i79]Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu:
Efficient and Effective Augmentation Strategy for Adversarial Training. CoRR abs/2210.15318 (2022) - [i78]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Subsidiary Prototype Alignment for Universal Domain Adaptation. CoRR abs/2210.15909 (2022) - [i77]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, R. Venkatesh Babu:
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. CoRR abs/2212.13827 (2022) - 2021
- [j36]Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha Narayanan Sundararaman, Amogh Kamath, R. Venkatesh Babu:
Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2739-2751 (2021) - [j35]K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. IEEE Trans. Computational Imaging 7: 1228-1239 (2021) - [c149]K. Ram Prabhakar, Vishal Vinod, Nihar R. Sahoo, Venkatesh Babu Radhakrishnan:
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. BMVC 2021: 327 - [c148]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. CVPR Workshops 2021: 93-102 - [c147]K. Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, Rama Krishna Sai Subrahmanyam Gorthi:
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting. CVPR 2021: 4875-4885 - [c146]Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu:
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. ICCV 2021: 7026-7036 - [c145]Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu:
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. ICCV 2021: 7496-7505 - [c144]Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh:
Deep Implicit Surface Point Prediction Networks. ICCV 2021: 12633-12642 - [c143]Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty:
Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. ICCVW 2021: 1571-1582 - [c142]Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, Venkatesh Babu R.:
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. NeurIPS 2021: 158-171 - [c141]Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, Venkatesh Babu R.:
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. NeurIPS 2021: 4582-4593 - [c140]Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.:
Towards Efficient and Effective Adversarial Training. NeurIPS 2021: 11821-11833 - [c139]Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu:
Class balancing GAN with a classifier in the loop. UAI 2021: 1618-1627 - [i76]Naveen Venkat, Jogendra Nath Kundu, Durgesh Kumar Singh, Ambareesh Revanur, R. Venkatesh Babu:
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation. CoRR abs/2103.11169 (2021) - [i75]Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh:
Deep Implicit Surface Point Prediction Networks. CoRR abs/2106.05779 (2021) - [i74]Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu:
Class Balancing GAN with a Classifier in the Loop. CoRR abs/2106.09402 (2021) - [i73]Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu:
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. CoRR abs/2108.11249 (2021) - [i72]Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu:
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. CoRR abs/2109.08901 (2021) - [i71]K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. CoRR abs/2112.13050 (2021) - 2020
- [j34]Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty:
PerSeg : segmenting salient objects from bag of single image perturbations. Multim. Tools Appl. 79(3-4): 2473-2493 (2020) - [j33]Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu:
Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 221-231 (2020) - [j32]Navaneet K. L., Ravi Kiran Sarvadevabhatla, Shashank Shekhar, R. Venkatesh Babu, Anirban Chakraborty:
Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 15: 2375-2385 (2020) - [c138]Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan:
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. AAAI 2020: 3130-3137 - [c137]Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. AAAI 2020: 11312-11319 - [c136]Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty:
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. BigMM 2020: 267-271 - [c135]Surbhi Aggarwal, Jogendra Nath Kundu, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation. BMVC 2020 - [c134]Vivek B. S., Ambareesh Revanur, Naveen Venkat, R. Venkatesh Babu:
Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training. CVPR Workshops 2020: 138-146 - [c133]Vivek B. S., R. Venkatesh Babu:
Single-Step Adversarial Training With Dropout Scheduling. CVPR 2020: 947-956 - [c132]Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu:
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CVPR 2020: 1017-1026 - [c131]Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. CVPR 2020: 1129-1137 - [c130]Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu:
Adversarial Fooling Beyond "Flipping the Label". CVPR Workshops 2020: 3374-3382 - [c129]Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu:
Universal Source-Free Domain Adaptation. CVPR 2020: 4543-4552 - [c128]Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CVPR 2020: 6151-6161 - [c127]Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu:
Towards Inheritable Models for Open-Set Domain Adaptation. CVPR 2020: 12373-12382 - [c126]Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation. ECCV (13) 2020: 35-52 - [c125]Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu:
Class-Incremental Domain Adaptation. ECCV (13) 2020: 53-69 - [c124]Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Babu Sam, R. Venkatesh Babu, Vishal M. Patel:
Learning to Count in the Crowd from Limited Labeled Data. ECCV (11) 2020: 212-229 - [c123]K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath, R. Venkatesh Babu:
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN. ECCV (21) 2020: 497-513 - [c122]Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Appearance Consensus Driven Self-supervised Human Mesh Recovery. ECCV (1) 2020: 794-812 - [c121]Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee:
Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. ICIP 2020: 1936-1940 - [c120]K. Ram Prabhakar, Akshaya Ramaswamy, Suvaansh Bhambri, Jayavardhana Gubbi, R. Venkatesh Babu, Balamuralidhar Purushothaman:
CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. IJCNN 2020: 1-8 - [c119]Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.:
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. NeurIPS 2020 - [c118]Naveen Venkat, Jogendra Nath Kundu, Durgesh Kumar Singh, Ambareesh Revanur, Venkatesh Babu R.:
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation. NeurIPS 2020 - [c117]Jogendra Nath Kundu, Rahul M. V., Jay Patravali, R. Venkatesh Babu:
Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion. WACV 2020: 458-467 - [c116]Jogendra Nath Kundu, Gaurav Singh Rajput, R. Venkatesh Babu:
VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform. WACV 2020: 2038-2045 - [c115]Surbhi Aggarwal, R. Venkatesh Babu, Anirban Chakraborty:
Text-based Person Search via Attribute-aided Matching. WACV 2020: 2606-2614 - [c114]Jogendra Nath Kundu, Himanshu Buckchash, Priyanka Mandikal, Rahul M. V., Anirudh Jamkhandi, Venkatesh Babu R.:
Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions. WACV 2020: 2713-2722 - [c113]Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha N. S., R. Venkatesh Babu:
Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds. WACV 2020: 2853-2861 - [i70]Vivek B. S., R. Venkatesh Babu:
Regularizers for Single-step Adversarial Training. CoRR abs/2002.00614 (2020) - [i69]Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu:
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CoRR abs/2004.00306 (2020) - [i68]Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu:
Towards Inheritable Models for Open-Set Domain Adaptation. CoRR abs/2004.04388 (2020) - [i67]Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu:
Universal Source-Free Domain Adaptation. CoRR abs/2004.04393 (2020) - [i66]Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CoRR abs/2004.04400 (2020) - [i65]Vivek B. S., R. Venkatesh Babu:
Single-step Adversarial training with Dropout Scheduling. CoRR abs/2004.08628 (2020) - [i64]Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu:
Adversarial Fooling Beyond "Flipping the Label". CoRR abs/2004.12771 (2020) - [i63]Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks. CoRR abs/2005.01939 (2020) - [i62]Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. CoRR abs/2006.14107 (2020) - [i61]Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Babu Sam, R. Venkatesh Babu, Vishal M. Patel:
Learning to Count in the Crowd from Limited Labeled Data. CoRR abs/2007.03195 (2020) - [i60]Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee:
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks. CoRR abs/2007.15861 (2020) - [i59]Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty:
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. CoRR abs/2008.00878 (2020) - [i58]Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Appearance Consensus Driven Self-Supervised Human Mesh Recovery. CoRR abs/2008.01341 (2020) - [i57]Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation. CoRR abs/2008.01388 (2020) - [i56]Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu:
Class-Incremental Domain Adaptation. CoRR abs/2008.01389 (2020) - [i55]Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel:
Completely Self-Supervised Crowd Counting via Distribution Matching. CoRR abs/2009.06420 (2020) - [i54]Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu:
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. CoRR abs/2011.14969 (2020)
2010 – 2019
- 2019
- [j31]Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu:
Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2452-2465 (2019) - [j30]Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu:
CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions. IEEE Trans. Image Process. 28(5): 2116-2125 (2019) - [c112]Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu:
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. AAAI 2019: 8553-8560 - [c111]Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu:
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. AAAI 2019: 8819-8826 - [c110]Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu:
Almost Unsupervised Learning for Dense Crowd Counting. AAAI 2019: 8868-8875 - [c109]Navaneet K. L., Priyanka Mandikal, Varun Jampani, R. Venkatesh Babu:
DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering. CVPR Workshops 2019: 18-24 - [c108]Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu:
Enhancing Salient Object Segmentation Through Attention. CVPR Workshops 2019: 27-36 - [c107]Vivek B. S., Arya Baburaj, R. Venkatesh Babu:
Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training. CVPR Workshops 2019: 66-73 - [c106]Navaneet K. L., Vasudha Todi, R. Venkatesh Babu, Anirban Chakraborty:
All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification. ICASSP 2019: 2472-2476 - [c105]K. Ram Prabhakar, Rajat Arora, Adhitya Swaminathan, Kunal Pratap Singh, R. Venkatesh Babu:
A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion. ICCP 2019: 1-8 - [c104]Jogendra Nath Kundu, Nishank Lakkakula, Venkatesh Babu Radhakrishnan:
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. ICCV 2019: 1436-1445 - [c103]Aditya Ganeshan, Vivek B. S., Venkatesh Babu Radhakrishnan:
FDA: Feature Disruptive Attack. ICCV 2019: 8068-8078 - [c102]Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, Venkatesh Babu Radhakrishnan:
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. ICCV 2019: 8190-8199 - [c101]Gaurav Kumar Nayak, Utkarsh Shreemali, R. Venkatesh Babu, Anirban Chakraborty:
Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). ICIP 2019: 4569-4573 - [c100]Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
Zero-Shot Knowledge Distillation in Deep Networks. ICML 2019: 4743-4751 - [c99]Priyanka Mandikal, Venkatesh Babu Radhakrishnan:
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. WACV 2019: 1052-1060 - [c98]Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, Venkatesh Babu Radhakrishnan:
Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold. WACV 2019: 1459-1467 - [i53]Priyanka Mandikal, R. Venkatesh Babu:
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. CoRR abs/1901.08906 (2019) - [i52]Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty:
Zero-Shot Knowledge Distillation in Deep Networks. CoRR abs/1905.08114 (2019) - [i51]Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu:
Enhancing Salient Object Segmentation Through Attention. CoRR abs/1905.11522 (2019) - [i50]Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha N. S., Amogh Kamath, R. Venkatesh Babu:
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection. CoRR abs/1906.07538 (2019) - [i49]Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu:
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. CoRR abs/1908.03884 (2019) - [i48]Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, R. Venkatesh Babu:
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. CoRR abs/1908.03919 (2019) - [i47]Aditya Ganeshan, Vivek B. S., R. Venkatesh Babu:
FDA: Feature Disruptive Attack. CoRR abs/1909.04385 (2019) - [i46]Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu:
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. CoRR abs/1912.11960 (2019) - 2018
- [j29]Acharya K. Aniruddha, R. Venkatesh Babu, Sathish S. Vadhiyar:
A real-time implementation of SIFT using GPU. J. Real Time Image Process. 14(2): 267-277 (2018) - [c97]Deepak Babu Sam, R. Venkatesh Babu:
Top-Down Feedback for Crowd Counting Convolutional Neural Network. AAAI 2018: 7323-7330 - [c96]Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu:
Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing. AAAI 2018: 7331-7338 - [c95]Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, Venkatesh Babu Radhakrishnan:
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. BMVC 2018: 55 - [c94]Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu:
NAG: Network for Adversary Generation. CVPR 2018: 742-751 - [c93]Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu:
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. CVPR 2018: 2656-2665 - [c92]Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu, Mukundhan Srinivasan:
Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN. CVPR 2018: 3618-3626 - [c91]Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu:
Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions. ECCV (9) 2018: 20-35 - [c90]Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu:
Gray-Box Adversarial Training. ECCV (15) 2018: 213-228 - [c89]Jogendra Nath Kundu, M. V. Rahul, Aditya Ganeshan, R. Venkatesh Babu:
Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence. ECCV Workshops (3) 2018: 298-313 - [c88]Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu:
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image. ECCV Workshops (3) 2018: 662-674 - [c87]Akshayvarun Subramanya, Konda Reddy Mopuri, R. Venkatesh Babu:
BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. ICVGIP 2018: 34:1-34:8 - [c86]Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V., Aditya Prakash, Venkatesh Babu R.:
iSPA-Net: Iterative Semantic Pose Alignment Network. ACM Multimedia 2018: 967-975 - [c85]Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu:
Learning Representations with Strong Supervision for Image Search. SPCOM 2018: 192-196 - [c84]Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu:
Estimating Confidence for Deep Neural Networks through Density modeling. SPCOM 2018: 397-401 - [i45]Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu:
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations. CoRR abs/1801.08092 (2018) - [i44]Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, Venkatesh Babu Radhakrishnan:
Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing. CoRR abs/1801.09356 (2018) - [i43]Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu:
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. CoRR abs/1803.01599 (2018) - [i42]Navaneet K. L., Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu, Anirban Chakraborty:
Deep Sequential Multi-camera Feature Fusion for Person Re-identification. CoRR abs/1807.07295 (2018) - [i41]Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, R. Venkatesh Babu:
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. CoRR abs/1807.07796 (2018) - [i40]Deepak Babu Sam, R. Venkatesh Babu:
Top-Down Feedback for Crowd Counting Convolutional Neural Network. CoRR abs/1807.08881 (2018) - [i39]Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu:
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN. CoRR abs/1807.09993 (2018) - [i38]Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V., Aditya Prakash, R. Venkatesh Babu:
iSPA-Net: Iterative Semantic Pose Alignment Network. CoRR abs/1808.01134 (2018) - [i37]Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu:
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions. CoRR abs/1808.01153 (2018) - [i36]Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu:
Gray-box Adversarial Training. CoRR abs/1808.01753 (2018) - [i35]Jogendra Nath Kundu, Rahul M. V., Aditya Ganeshan, R. Venkatesh Babu:
Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence. CoRR abs/1809.00553 (2018) - [i34]Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu:
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image. CoRR abs/1810.00461 (2018) - [i33]Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu:
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision. CoRR abs/1811.11731 (2018) - [i32]Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu:
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. CoRR abs/1812.02591 (2018) - [i31]Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, R. Venkatesh Babu:
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold. CoRR abs/1812.02592 (2018) - 2017
- [j28]Sovan Biswas, R. Venkatesh Babu:
Anomaly detection via short local trajectories. Neurocomputing 242: 63-72 (2017) - [j27]Hisham Rahman, Rajiv Soundararajan, R. Venkatesh Babu:
Evaluating Multiexposure Fusion Using Image Information. IEEE Signal Process. Lett. 24(11): 1671-1675 (2017) - [j26]Ravi Kiran Sarvadevabhatla, Sudharshan Suresh, R. Venkatesh Babu:
Object Category Understanding via Eye Fixations on Freehand Sketches. IEEE Trans. Image Process. 26(5): 2508-2518 (2017) - [j25]Srinivas S. S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu:
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations. IEEE Trans. Image Process. 26(9): 4446-4456 (2017) - [c83]Konda Reddy Mopuri, Utsav Garg, Venkatesh Babu Radhakrishnan:
Fast Feature Fool: A data independent approach to universal adversarial perturbations. BMVC 2017 - [c82]Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu:
Training Sparse Neural Networks. CVPR Workshops 2017: 455-462 - [c81]Nithish Divakar, R. Venkatesh Babu:
Image Denoising via CNNs: An Adversarial Approach. CVPR Workshops 2017: 1076-1083 - [c80]Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu:
Switching Convolutional Neural Network for Crowd Counting. CVPR 2017: 4031-4039 - [c79]Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data. CVPR 2017: 4941-4949 - [c78]K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu:
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. ICCV 2017: 4724-4732 - [c77]Ravi Kiran Sarvadevabhatla, Isht Dwivedi, Abhijat Biswas, Sahil Manocha, Venkatesh Babu R.:
SketchParse: Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks. ACM Multimedia 2017: 10-18 - [c76]Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty:
Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction. NCVPRIPG 2017: 66-77 - [c75]Avishek Majumder, R. Venkatesh Babu:
Deep Neural Network for Foreground Object Segmentation: An Unsupervised Approach. NCVPRIPG 2017: 360-371 - [p1]Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
An Introduction to Deep Convolutional Neural Nets for Computer Vision. Deep Learning for Medical Image Analysis 2017: 25-52 - [i30]Ravi Kiran Sarvadevabhatla, Sudharshan Suresh, R. Venkatesh Babu:
Object category understanding via eye fixations on freehand sketches. CoRR abs/1703.06554 (2017) - [i29]Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu:
Deep image representations using caption generators. CoRR abs/1705.09142 (2017) - [i28]Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan:
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. CoRR abs/1706.02071 (2017) - [i27]Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu:
Fast Feature Fool: A data independent approach to universal adversarial perturbations. CoRR abs/1707.05572 (2017) - [i26]Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu:
Confidence estimation in Deep Neural networks via density modelling. CoRR abs/1707.07013 (2017) - [i25]Nithish Divakar, R. Venkatesh Babu:
Image Denoising via CNNs: An Adversarial Approach. CoRR abs/1708.00159 (2017) - [i24]Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu:
Switching Convolutional Neural Network for Crowd Counting. CoRR abs/1708.00199 (2017) - [i23]Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu:
CNN Fixations: An unraveling approach to visualize the discriminative image regions. CoRR abs/1708.06670 (2017) - [i22]Ravi Kiran Sarvadevabhatla, Isht Dwivedi, Abhijat Biswas, Sahil Manocha, R. Venkatesh Babu:
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks. CoRR abs/1709.01295 (2017) - [i21]Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu:
NAG: Network for Adversary Generation. CoRR abs/1712.03390 (2017) - [i20]K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu:
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. CoRR abs/1712.07384 (2017) - 2016
- [j24]R. Venkatesh Babu, Manu Tom, Paras Wadekar:
A survey on compressed domain video analysis techniques. Multim. Tools Appl. 75(2): 1043-1078 (2016) - [j23]G. Krishna Vinay, Sk. Mohammadul Haque, R. Venkatesh Babu, K. R. Ramakrishnan:
Sparse representation-based human detection: a scale-embedded dictionary approach. Signal Image Video Process. 10(3): 585-592 (2016) - [c74]Ravi Kiran Sarvadevabhatla, Shanthakumar Venkatraman, R. Venkatesh Babu:
'Part'ly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems. ACCV (5) 2016: 181-197 - [c73]Suraj Srinivas, Radhakrishnan Venkatesh Babu:
Learning Neural Network Architectures using Backpropagation. BMVC 2016 - [c72]Srinivas S. S. Kruthiventi, Vennela Gudisa, Jaley H. Dholakiya, R. Venkatesh Babu:
Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation. CVPR 2016: 5781-5790 - [c71]K. Ram Prabhakar, R. Venkatesh Babu:
Ghosting-free multi-exposure image fusion in gradient domain. ICASSP 2016: 1766-1770 - [c70]Chintak Sheth, R. Venkatesh Babu:
Object saliency using a background prior. ICASSP 2016: 1931-1935 - [c69]Souradeep Chakraborty, Jogendra Nath Kundu, R. Venkatesh Babu:
Deep image inpainting with region prediction at hierarchical scales. ICVGIP 2016: 33:1-33:8 - [c68]Shiv Surya, R. Venkatesh Babu:
TraCount: a deep convolutional neural network for highly overlapping vehicle counting. ICVGIP 2016: 46:1-46:6 - [c67]K. Ram Prabhakar, R. Venkatesh Babu:
Ghosting free HDR for dynamic scenes via shift-maps. ICVGIP 2016: 57:1-57:8 - [c66]Konda Reddy Mopuri, R. Venkatesh Babu:
Towards semantic visual representation: augmenting image representation with natural language descriptors. ICVGIP 2016: 64:1-64:8 - [c65]Lokesh Boominathan, Suraj Srinivas, R. Venkatesh Babu:
Compensating for large in-plane rotations in natural images. ICVGIP 2016: 69:1-69:8 - [c64]Ravi Kiran Sarvadevabhatla, Raviteja Meesala, Manjunath Hegde, R. Venkatesh Babu:
Analyzing object categories via novel category ranking measures defined on visual feature embeddings. ICVGIP 2016: 79:1-79:6 - [c63]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Analyzing Structural Characteristics of Object Category Representations From Their Semantic-part Distributions. ACM Multimedia 2016: 97-101 - [c62]Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
SwiDeN: Convolutional Neural Networks For Depiction Invariant Object Recognition. ACM Multimedia 2016: 187-191 - [c61]Ravi Kiran Sarvadevabhatla, Jogendra Kundu, R. Venkatesh Babu:
Enabling My Robot To Play Pictionary: Recurrent Neural Networks For Sketch Recognition. ACM Multimedia 2016: 247-251 - [c60]Lokesh Boominathan, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting. ACM Multimedia 2016: 640-644 - [i19]Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. CoRR abs/1601.06615 (2016) - [i18]Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition. CoRR abs/1607.08764 (2016) - [i17]Ravi Kiran Sarvadevabhatla, Jogendra Kundu, Radhakrishnan Venkatesh Babu:
Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition. CoRR abs/1608.03369 (2016) - [i16]Lokesh Boominathan, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting. CoRR abs/1608.06197 (2016) - [i15]Lokesh Boominathan, Suraj Srinivas, R. Venkatesh Babu:
Compensating for Large In-Plane Rotations in Natural Images. CoRR abs/1611.05744 (2016) - [i14]Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu:
Training Sparse Neural Networks. CoRR abs/1611.06694 (2016) - [i13]Suraj Srinivas, R. Venkatesh Babu:
Generalized Dropout. CoRR abs/1611.06791 (2016) - [i12]Ravi Kiran Sarvadevabhatla, Shanthakumar Venkatraman, R. Venkatesh Babu:
'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems. CoRR abs/1611.07703 (2016) - 2015
- [j22]R. Venkatesh Babu, Badrinarayanan Rangarajan, Suresh Sundaram, Manu Tom:
Human action recognition in H.264/AVC compressed domain using meta-cognitive radial basis function network. Appl. Soft Comput. 36: 218-227 (2015) - [j21]Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. Frontiers Robotics AI 2: 36 (2015) - [j20]R. Venkatesh Babu, Priti Parate, Acharya K. Aniruddha:
Robust tracking with interest points: A sparse representation approach. Image Vis. Comput. 33: 44-56 (2015) - [j19]S. Avinash Ramakanth, R. Venkatesh Babu:
Synthetic image super resolution using FeatureMatch. Multim. Tools Appl. 74(17): 6691-6707 (2015) - [j18]Manu Tom, R. Venkatesh Babu, R. Gnana Praveen:
Compressed domain human action recognition in H.264/AVC video streams. Multim. Tools Appl. 74(21): 9323-9338 (2015) - [j17]Sovan Biswas, R. Venkatesh Babu:
Anomaly detection in compressed H.264/AVC video. Multim. Tools Appl. 74(24): 11099-11115 (2015) - [c59]Suraj Srinivas, R. Venkatesh Babu:
Data-free Parameter Pruning for Deep Neural Networks. BMVC 2015: 31.1-31.12 - [c58]Konda Reddy Mopuri, R. Venkatesh Babu:
Object level deep feature pooling for compact image representation. CVPR Workshops 2015: 62-70 - [c57]Srinivas S. Kruthiventi, R. Venkatesh Babu:
Dominant flow extraction and analysis in traffic surveillance videos. CVPR Workshops 2015: 63-71 - [c56]Nikita Prabhu, R. Venkatesh Babu:
Attribute-Graph: A Graph Based Approach to Image Ranking. ICCV 2015: 1071-1079 - [c55]Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
Crowd flow segmentation in compressed domain using CRF. ICIP 2015: 3417-3421 - [c54]R. Sai Srivatsa, R. Venkatesh Babu:
Salient object detection via objectness measure. ICIP 2015: 4481-4485 - [c53]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Eye of the Dragon: Exploring Discriminatively Minimalist Sketch-based Abstractions for Object Categories. ACM Multimedia 2015: 271-280 - [i11]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Category-Epitomes : Discriminatively Minimalist Representations for Object Categories. CoRR abs/1502.00082 (2015) - [i10]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Freehand Sketch Recognition Using Deep Features. CoRR abs/1502.00254 (2015) - [i9]Konda Reddy Mopuri, R. Venkatesh Babu:
Object Level Deep Feature Pooling for Compact Image Representation. CoRR abs/1504.06591 (2015) - [i8]Jaley H. Dholakiya, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Expresso : A user-friendly GUI for designing, training and using Convolutional Neural Networks. CoRR abs/1505.06605 (2015) - [i7]Srinivas S. Kruthiventi, R. Venkatesh Babu:
Crowd Flow Segmentation in Compressed Domain using CRF. CoRR abs/1506.06006 (2015) - [i6]R. Sai Srivatsa, R. Venkatesh Babu:
Salient Object Detection via Objectness Measure. CoRR abs/1506.07363 (2015) - [i5]Suraj Srinivas, R. Venkatesh Babu:
Data-free parameter pruning for Deep Neural Networks. CoRR abs/1507.06149 (2015) - [i4]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Analyzing structural characteristics of object category representations from their semantic-part distributions. CoRR abs/1509.04399 (2015) - [i3]Nikita Prabhu, R. Venkatesh Babu:
Attribute-Graph: A Graph based approach to Image Ranking. CoRR abs/1509.06658 (2015) - [i2]Srinivas S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu:
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations. CoRR abs/1510.02927 (2015) - [i1]Suraj Srinivas, R. Venkatesh Babu:
Learning the Architecture of Deep Neural Networks. CoRR abs/1511.05497 (2015) - 2014
- [j16]S. Avinash Ramakanth, R. Venkatesh Babu:
Approximate Nearest Neighbour Field based Optic Disk Detection. Comput. Medical Imaging Graph. 38(1): 49-56 (2014) - [j15]S. Avinash Ramakanth, R. Venkatesh Babu:
FeatureMatch: A General ANNF Estimation Technique and its Applications. IEEE Trans. Image Process. 23(5): 2193-2205 (2014) - [c52]S. Avinash Ramakanth, R. Venkatesh Babu:
SeamSeg: Video Object Segmentation Using Patch Seams. CVPR 2014: 376-383 - [c51]O. U. Nirmal Jith, S. Avinash Ramakanth, R. Venkatesh Babu:
Optical flow estimation using Approximate Nearest Neighbor Field fusion. ICASSP 2014: 673-674 - [c50]Acharya K. Aniruddha, R. Venkatesh Babu:
Visual object tracking via random ferns based classification. ICASSP 2014: 6533-6537 - [c49]Sovan Biswas, R. Gnana Praveen, R. Venkatesh Babu:
Super-pixel based crowd flow segmentation in H.264 compressed videos. ICIP 2014: 2319-2323 - [c48]Sovan Biswas, R. Venkatesh Babu:
Sparse representation based anomaly detection with enhanced local dictionaries. ICIP 2014: 5532-5536 - [c47]Srinivas S. Kruthiventi, R. Venkatesh Babu:
3D Action Recognition by Learning Sequences of Poses. ICVGIP 2014: 23:1-23:7 - [c46]Sovan Biswas, R. Venkatesh Babu:
Short Local Trajectory based moving anomaly detection. ICVGIP 2014: 73:1-73:8 - [c45]Chintak Sheth, R. Venkatesh Babu:
Super Pixel Clustering via Kernel Density Estimation. ICVGIP 2014: 74:1-74:8 - [c44]Acharya K. Aniruddha, R. Venkatesh Babu:
Secret Image Sharing using Fractal Codes. ICVGIP 2014: 82:1-82:8 - [c43]Nikita Prabhu, S. Avinash Ramakanth, R. Venkatesh Babu:
Patch Flow based Visual Object Tracking. ICVGIP 2014: 86:1-86:6 - [c42]Badrinarayanan Rangarajan, Venkatesh Babu Radhakrishnan:
Human action recognition in compressed domain using PBL-McRBFN approach. ISSNIP 2014: 1-6 - [c41]Kartick Subramanian, Radhakrishnan Venkatesh Babu, Suresh Sundaram:
An optical flow feature and McFIS based approach for 3-dimensional human action recognition. ISSNIP 2014: 1-6 - [c40]Kartick Subramanian, Radhakrishnan Venkatesh Babu, Savitha Ramasamy:
Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System. ISSNIP 2014: 1-6 - [c39]Suraj Vantigodi, Venkatesh Babu Radhakrishnan:
Action recognition from motion capture data using Meta-Cognitive RBF Network classifier. ISSNIP 2014: 1-6 - 2013
- [j14]R. Venkatesh Babu, Ramaswamy Savitha, Suresh Sundaram, Bhuvnesh Agarwal:
Subject independent human action recognition using spatio-depth information and meta-cognitive RBF network. Eng. Appl. Artif. Intell. 26(9): 2010-2021 (2013) - [c38]Sovan Biswas, R. Venkatesh Babu:
H.264 compressed video classification using Histogram of Oriented Motion Vectors (HOMV). ICASSP 2013: 2040-2044 - [c37]Sreekanth Raja, R. Venkatesh Babu:
A near optimal projection for Sparse representation based classification. ICASSP 2013: 2089-2093 - [c36]M. J. Ashwini, R. Venkatesh Babu, K. R. Ramakrishnan:
Context-aware real-time tracking in sparse representation framework. ICIP 2013: 2450-2454 - [c35]R. Venkatesh Babu, Priti Parate:
Interest points based object tracking via sparse representation. ICIP 2013: 2963-2967 - [c34]R. Venkatesh Babu:
Real-time robust tracking via sparse representation: A mode-seeking approach. ICIP 2013: 3919-3923 - [c33]Acharya K. Aniruddha, R. Venkatesh Babu:
Speeding up SIFT using GPU. NCVPRIPG 2013: 1-4 - [c32]Sovan Biswas, R. Venkatesh Babu:
Real time anomaly detection in H.264 compressed videos. NCVPRIPG 2013: 1-4 - [c31]S. Avinash Ramakanth, R. Venkatesh Babu:
OD-Match: PatchMatch based Optic Disk detection. NCVPRIPG 2013: 1-4 - [c30]Mopuri K. Reddy, Sahil Arora, R. Venkatesh Babu:
Spatio-temporal feature based VLAD for efficient video retrieval. NCVPRIPG 2013: 1-4 - [c29]Manu Tom, R. Venkatesh Babu:
Fast moving-object detection in H.264/AVC compressed domain for video surveillance. NCVPRIPG 2013: 1-4 - [c28]Suraj Vantigodi, R. Venkatesh Babu:
Real-time human action recognition from motion capture data. NCVPRIPG 2013: 1-4 - [c27]Manu Tom, R. Venkatesh Babu:
Rapid human action recognition in H.264/AVC compressed domain for video surveillance. VCIP 2013: 1-6 - 2012
- [j13]R. Venkatesh Babu, Suresh Sundaram, Ramaswamy Savitha:
Human action recognition using a fast learning fully complex-valued classifier. Neurocomputing 89: 202-212 (2012) - [c26]G. Krishna Vinay, Sk. Mohammadul Haque, R. Venkatesh Babu, K. R. Ramakrishnan:
Human detection using sparse representation. ICASSP 2012: 1513-1516 - [c25]M. S. Naresh Kumar, Priti Parate, R. Venkatesh Babu:
Fragment-based real-time object tracking: A sparse representation approach. ICIP 2012: 433-436 - [c24]Neelam Sinha, R. Venkatesh Babu:
Optic disk localization using L1 minimization. ICIP 2012: 2829-2832 - [c23]Avinash Ruchandani, R. Venkatesh Babu:
Local appearance based robust tracking via sparse representation. ICVGIP 2012: 12 - [c22]M. S. Naresh Kumar, R. Venkatesh Babu:
Human gait recognition using depth camera: a covariance based approach. ICVGIP 2012: 20 - [c21]S. Avinash Ramakanth, R. Venkatesh Babu:
Feature match: an efficient low dimensional PatchMatch technique. ICVGIP 2012: 45 - [c20]S. Sudarshan, R. Venkatesh Babu:
Super resolution via sparse representation in l1 framework. ICVGIP 2012: 77 - [c19]K. Subramanian, Suresh Sundaram, R. Venkatesh Babu:
Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition. IJCNN 2012: 1-7 - 2011
- [c18]R. Venkatesh Babu, Suresh Sundaram:
Fully complex-valued ELM classifiers for human action recognition. IJCNN 2011: 2803-2808 - 2010
- [j12]R. Venkatesh Babu, Suresh Sundaram, Anamitra Makur:
Online adaptive radial basis function networks for robust object tracking. Comput. Vis. Image Underst. 114(3): 297-310 (2010) - [j11]Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja, K. R. Ramakrishnan:
Fragmented Particles-Based Robust Object Tracking with Feature Fusion. Int. J. Image Graph. 10(1): 93-112 (2010)
2000 – 2009
- 2009
- [j10]Suresh Sundaram, R. Venkatesh Babu, Hyoung Joong Kim:
No-reference image quality assessment using modified extreme learning machine classifier. Appl. Soft Comput. 9(2): 541-552 (2009) - 2008
- [j9]Jaideep Jeyakar, R. Venkatesh Babu, K. R. Ramakrishnan:
Robust object tracking with background-weighted local kernels. Comput. Vis. Image Underst. 112(3): 296-309 (2008) - [j8]R. Venkatesh Babu, Andrew Perkis, Odd Inge Hillestad:
Evaluation and monitoring of video quality for UMA enabled video streaming systems. Multim. Tools Appl. 37(2): 211-231 (2008) - 2007
- [j7]R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy:
Robust tracking with motion estimation and local Kernel-based color modeling. Image Vis. Comput. 25(8): 1205-1216 (2007) - [j6]R. Venkatesh Babu, K. R. Ramakrishnan:
Compressed domain video retrieval using object and global motion descriptors. Multim. Tools Appl. 32(1): 93-113 (2007) - [j5]R. Venkatesh Babu, Suresh Sundaram, Andrew Perkis:
No-reference JPEG-image quality assessment using GAP-RBF. Signal Process. 87(6): 1493-1503 (2007) - [c17]R. Venkatesh Babu, Anamitra Makur:
Kernel-Based Spatial-Color Modeling for Fast Moving Object Tracking. ICASSP (1) 2007: 901-904 - [c16]R. Venkatesh Babu, Suresh Sundaram, Anamitra Makur:
Robust Object Tracking with Radial Basis Function Networks. ICASSP (1) 2007: 937-940 - [c15]Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja, Kalpathi R. Ramakrishnan:
Feature Fusion for Robust Object Tracking Using Fragmented Particles. ICDSC 2007: 283-290 - [c14]Jaideep Jeyakar, R. Venkatesh Babu, K. R. Ramakrishnan:
Robust Object Tracking using Local Kernels and Background Information. ICIP (5) 2007: 49-52 - 2006
- [c13]R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy:
Kernel-Based Robust Tracking for Objects Undergoing Occlusion. ACCV (2) 2006: 353-362 - [c12]R. Venkatesh Babu, Anamitra Makur:
Object-based Surveillance Video Compression using Foreground Motion Compensation. ICARCV 2006: 1-6 - [c11]Suresh Sundaram, R. Venkatesh Babu, Narasimhan Sundararajan:
Image Quality Measurement Using Sparse Extreme Learning Machine Classifier. ICARCV 2006: 1-6 - [c10]R. Venkatesh Babu, Suresh Sundaram:
GAP-RBF Based NR Image Quality Measurement for JPEG Coded Images. ICVGIP 2006: 718-727 - 2005
- [c9]R. Venkatesh Babu, Andrew Perkis:
An HVS-based no-reference perceptual quality assessment of JPEG coded images using neural networks. ICIP (1) 2005: 433-436 - [c8]R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy:
Robust tracking with motion estimation and kernel-based color modelling. ICIP (1) 2005: 717-720 - 2004
- [j4]R. Venkatesh Babu, K. R. Ramakrishnan:
Sprite Generation From Mpeg Video Using Motion Information. Int. J. Image Graph. 4(2): 263-280 (2004) - [j3]R. Venkatesh Babu, K. R. Ramakrishnan:
Recognition of human actions using motion history information extracted from the compressed video. Image Vis. Comput. 22(8): 597-607 (2004) - [j2]R. Venkatesh Babu, K. R. Ramakrishnan, S. H. Srinivasan:
Video object segmentation: a compressed domain approach. IEEE Trans. Circuits Syst. Video Technol. 14(4): 462-474 (2004) - [c7]Andrew Perkis, R. Venkatesh Babu, Peder Drege:
A QOS-DRIVEN UMA viewer in MPEG-21 framework. EUSIPCO 2004: 661-664 - [c6]R. Venkatesh Babu, Ajit S. Bopardikar, Andrew Perkis:
A Perceptual No-Reference Blockiness Metric for JPEG Images. ICVGIP 2004: 455-460 - 2003
- [c5]R. Venkatesh Babu, K. R. Ramakrishnan:
Compressed domain human motion recognition using motion history information. ICASSP (3) 2003: 41-44 - [c4]R. Venkatesh Babu, K. R. Ramakrishnan:
Compressed domain human motion recognition using motion history information. ICIP (3) 2003: 321-324 - 2002
- [j1]R. Venkatesh Babu, B. Anantharaman, K. R. Ramakrishnan, S. H. Srinivasan:
Compressed domain action classification using HMM. Pattern Recognit. Lett. 23(10): 1203-1213 (2002) - [c3]R. Venkatesh Babu, K. R. Ramakrishnan:
Compressed domain motion segmentation for video object extraction. ICASSP 2002: 3788-3791 - [c2]R. Venkatesh Babu, K. R. Ramakrishnan:
Background Sprite Generation Using MPEG Motion Vectors. ICVGIP 2002 - [c1]R. Venkatesh Babu, K. R. Ramakrishnan:
Content-based video retrieval using motion descriptors extracted from compressed domain. ISCAS (4) 2002: 141-144
Coauthor Index
Srinivas S. Kruthiventi
aka: Srinivas S. S. Kruthiventi
aka: Srinivas S. S. Kruthiventi
Jogendra Kundu
aka: Jogendra Nath Kundu
aka: Jogendra Nath Kundu
[c184] [c179] [i120] [c170] [i101] [i97] [c168] [c164] [c163] [c157] [c153] [i96] [i94] [i93] [i92] [i89] [i85] [i78] [c146] [c142] [c141] [i76] [i73] [c137] [c135] [c129] [c128] [c127] [c126] [c125] [c122] [c118] [c117] [c116] [c114] [i68] [i67] [i66] [i62] [i58] [i57] [i56] [c112] [c104] [c102] [c98] [i49] [i48] [c93] [c89] [c86] [i43] [i38] [i35] [i32] [i31] [c69] [c61] [i17]
K. R. Ramakrishnan
aka: Kalpathi R. Ramakrishnan
aka: Kalpathi R. Ramakrishnan
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-16 21:26 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
