R. Venkatesh Babu

322 papers A* 44A 11B 15C 3Misc 9Journal 161Unranked 78

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GeoDiv: Framework For Measuring Geographical Diversity In Text-To-Image Models. CoRR Abhipsa Basu, Mohana Singh, Shashank Agnihotri, Margret Keuper, R. Venkatesh Babu
2026	J	`jnl`	SeeThrough3D: Occlusion Aware 3D Control in Text-to-Image Generation. CoRR Vaibhav Agrawal, Rishubh Parihar, Pradhaan Bhat, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
2026	J	`jnl`	Where Do Images Come From? Analyzing Captions to Geographically Profile Datasets. CoRR Abhipsa Basu, Yugam Bahl, Kirti Bhagat, Preethi Seshadri, R. Venkatesh Babu, Danish Pruthi
2025	A	`conf`	Attribute Diffusion: Diffusion Driven Diverse Attribute Editing. WACV Rishubh Parihar, Prasanna Balaji, Raghav Magazine, Sarthak Vora, Varun Jampani, R. Venkatesh Babu
2025	A	`conf`	ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillation. WACV Ankit Dhiman, R. Srinath, Srinjay Sarkar, Lokesh R. Boregowda, R. Venkatesh Babu
2025	J	`jnl`	Compass Control: Multi Object Orientation Control for Text-to-Image Generation. CoRR Rishubh Parihar, Vaibhav Agrawal, Sachidanand VS, R. Venkatesh Babu
2025	A*	`conf`	Composing Parts for Expressive Object Generation. CVPR Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
2025	J	`jnl`	Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification. CoRR Abhipsa Basu, Aviral Gupta, Abhijnya Bhat, R. Venkatesh Babu
2025	J	`jnl`	Kontinuous Kontext: Continuous Strength Control for Instruction-based Image Editing. CoRR Rishubh Parihar, Or Patashnik, Daniil Ostashev, R. Venkatesh Babu, Daniel Cohen-Or, Kuan-Chieh Wang
2025	J	`jnl`	Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. CoRR M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty
2025	A*	`conf`	MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World. CVPR Ankit Dhiman, Manan Shah, R. Venkatesh Babu
2025	J	`jnl`	MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World. CoRR Ankit Dhiman, Manan Shah, R. Venkatesh Babu
2025	A*	`conf`	MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection. CVPR Rishubh Parihar, Srinjay Sarkar, Sarthak Vora, Jogendra Nath Kundu, R. Venkatesh Babu
2025	J	`jnl`	MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection. CoRR Rishubh Parihar, Srinjay Sarkar, Sarthak Vora, Jogendra Kundu, R. Venkatesh Babu
2025	—	`conf`	ProtoPatchNet: An Interpretable Patch-Based Prototypical Network. CVPR Workshops Mohana Singh, Vivek B. S., Jayavardhana Gubbi, R. Venkatesh Babu
2025	—	`conf`	Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections. 3DV Ankit Dhiman, Manan Shah, Rishubh Parihar, Yash Bhalgat, Lokesh R. Boregowda, R. Venkatesh Babu
2024	A	`conf`	Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. WACV Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu
2024	A*	`conf`	Balancing Act: Distribution-Guided Debiasing in Diffusion Models. CVPR Rishubh Parihar, Abhijnya Bhat, Abhipsa Basu, Saswat Mallick, Jogendra Nath Kundu, R. Venkatesh Babu
2024	J	`jnl`	Balancing Act: Distribution-Guided Debiasing in Diffusion Models. CoRR Rishubh Parihar, Abhijnya Bhat, Saswat Mallick, Abhipsa Basu, Jogendra Nath Kundu, R. Venkatesh Babu
2024	J	`jnl`	Crafting Parts for Expressive Object Composition. CoRR Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
2024	J	`jnl`	DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. CoRR Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu
2024	A*	`conf`	DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. CVPR Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu
2024	A*	`conf`	Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification. CVPR Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu
2024	A	`conf`	Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. WACV M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty
2024	A*	`conf`	Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks. NeurIPS Abhipsa Basu, Saswat Subhajyoti Mallick, R. Venkatesh Babu
2024	J	`jnl`	PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control. CoRR Rishubh Parihar, Sachidanand VS, Sabariswaran Mani, Tejan Karmali, R. Venkatesh Babu
2024	—	`conf`	PreciseControl: Enhancing Text-to-Image Diffusion Models with Fine-Grained Attribute Control. ECCV (82) Rishubh Parihar, Sachidanand VS, Sabariswaran Mani, Tejan Karmali, R. Venkatesh Babu
2024	J	`jnl`	ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations. CoRR Sravanti Addepalli, Priyam Dey, R. Venkatesh Babu
2024	J	`jnl`	Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections. CoRR Ankit Dhiman, Manan Shah, Rishubh Parihar, Yash Bhalgat, Lokesh R. Boregowda, R. Venkatesh Babu
2024	—	`conf`	Text2Place: Affordance-Aware Text Guided Human Placement. ECCV (3) Rishubh Parihar, Harsh Gupta, Sachidanand VS, R. Venkatesh Babu
2024	J	`jnl`	Text2Place: Affordance-aware Text Guided Human Placement. CoRR Rishubh Parihar, Harsh Gupta, Sachidanand VS, R. Venkatesh Babu
2024	J	`jnl`	Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields. CoRR Tao Lu, Ankit Dhiman, R. Srinath, Emre Arslan, Angela Xing, Yuanbo Xiangli, R. Venkatesh Babu, Srinath Sridhar
2023	J	`jnl`	Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. CoRR Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu
2023	J	`jnl`	Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2023	J	`jnl`	CapsFlow: Optical Flow Estimation with Capsule Networks. CoRR Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu
2023	—	`conf`	Certified Adversarial Robustness Within Multiple Perturbation Bounds. CVPR Workshops Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
2023	J	`jnl`	Certified Adversarial Robustness Within Multiple Perturbation Bounds. CoRR Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
2023	J	`jnl`	CoRF : Colorizing Radiance Fields using Knowledge Distillation. CoRR Ankit Dhiman, R. Srinath, Srinjay Sarkar, Lokesh R. Boregowda, R. Venkatesh Babu
2023	—	`conf`	Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CVPR Workshops Prasanna B, Sunandini Sanyal, R. Venkatesh Babu
2023	J	`jnl`	Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CoRR Prasanna B, Sunandini Sanyal, R. Venkatesh Babu
2023	A*	`conf`	DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CVPR Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu
2023	J	`jnl`	DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CoRR Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu
2023	J	`jnl`	Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks. CoRR Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu
2023	A*	`conf`	Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. ICCV Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu
2023	J	`jnl`	Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. CoRR Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu
2023	J	`jnl`	Exploring Attribute Variations in Style-based GANs using Diffusion Models. CoRR Rishubh Parihar, Prasanna Balaji, Raghav Magazine, Sarthak Vora, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
2023	J	`jnl`	Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. CoRR K. Ram Prabhakar, Vishal Vinod, Nihar Ranjan Sahoo, R. Venkatesh Babu
2023	A*	`conf`	Inspecting the Geographical Representativeness of Images from Text-to-Image Models. ICCV Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi
2023	J	`jnl`	Inspecting the Geographical Representativeness of Images from Text-to-Image Models. CoRR Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi
2023	A*	`conf`	NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. CVPR Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
2023	J	`jnl`	NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs. CoRR Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
2023	A*	`conf`	RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases. CVPR Abhipsa Basu, Sravanti Addepalli, R. Venkatesh Babu
2023	A*	`conf`	Strata-NeRF : Neural Radiance Fields for Stratified Scenes. ICCV Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu
2023	J	`jnl`	Strata-NeRF : Neural Radiance Fields for Stratified Scenes. CoRR Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu
2023	J	`jnl`	We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space. CoRR Rishubh Parihar, Raghav Magazine, Piyush Tiwari, R. Venkatesh Babu
2022	J	`jnl`	A Closer Look at Smoothness in Domain Adversarial Training. CoRR Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, R. Venkatesh Babu
2022	J	`jnl`	Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. CoRR Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, R. Venkatesh Babu
2022	J	`jnl`	Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. CoRR Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, R. Venkatesh Babu
2022	J	`jnl`	Balancing Discriminability and Transferability for Source-Free Domain Adaptation. CoRR Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, R. Venkatesh Babu
2022	—	`conf`	Completely Self-supervised Crowd Counting via Distribution Matching. ECCV (31) Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel
2022	—	`conf`	Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. ECCV (30) Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu
2022	J	`jnl`	Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. CoRR Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu
2022	J	`jnl`	Efficient and Effective Augmentation Strategy for Adversarial Training. CoRR Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu
2022	J	`jnl`	Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. CoRR Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, R. Venkatesh Babu
2022	J	`jnl`	Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration. CoRR Rishubh Parihar, Ankit Dhiman, Tejan Karmali, R. Venkatesh Babu
2022	—	`conf`	Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. ECCV (15) Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu
2022	J	`jnl`	Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. CoRR Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu
2022	—	`conf`	Improving GANs for Long-Tailed Data Through Group Spectral Regularization. ECCV (15) Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
2022	J	`jnl`	Improving GANs for Long-Tailed Data through Group Spectral Regularization. CoRR Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
2022	A	`conf`	LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. WACV Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu
2022	J	`jnl`	LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. CoRR Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu
2022	J	`jnl`	Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. CoRR Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, Prateek Jain
2022	J	`jnl`	Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. CoRR Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu
2022	—	`conf`	SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. CVPR Workshops Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu
2022	J	`jnl`	SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. CoRR Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Kumar Singh, R. Venkatesh Babu
2022	—	`conf`	Scaling Adversarial Training to Large Perturbation Bounds. ECCV (5) Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2022	J	`jnl`	Scaling Adversarial Training to Large Perturbation Bounds. CoRR Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2022	J	`jnl`	Segmentation Guided Deep HDR Deghosting. CoRR K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
2022	J	`jnl`	Subsidiary Prototype Alignment for Universal Domain Adaptation. CoRR Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu
2022	A*	`conf`	Towards Data-Free Model Stealing in a Hard Label Setting. CVPR Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu
2022	J	`jnl`	Towards Data-Free Model Stealing in a Hard Label Setting. CoRR Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu
2022	J	`jnl`	Towards Efficient and Effective Self-Supervised Learning of Visual Representations. CoRR Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu
2022	—	`conf`	Towards Efficient and Effective Self-supervised Learning of Visual Representations. ECCV (31) Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu
2022	A*	`conf`	Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CVPR Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu
2022	J	`jnl`	Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CoRR Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu
2021	—	`conf`	Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. CVPR Workshops Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2021	J	`jnl`	Class Balancing GAN with a Classifier in the Loop. CoRR Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
2021	A	`conf`	Class balancing GAN with a classifier in the loop. UAI Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
2021	A*	`conf`	Deep Implicit Surface Point Prediction Networks. ICCV Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh
2021	J	`jnl`	Deep Implicit Surface Point Prediction Networks. CoRR Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh
2021	A*	`conf`	Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. ICCV Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu
2021	J	`jnl`	Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. CoRR Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu
2021	A*	`conf`	Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting. CVPR K. Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, Rama Krishna Sai Subrahmanyam Gorthi
2021	J	`jnl`	Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection. IEEE Trans. Pattern Anal. Mach. Intell. Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha Narayanan Sundararaman, Amogh Kamath, R. Venkatesh Babu
2021	—	`conf`	Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. ICCVW Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty
2021	A*	`conf`	S ICCV Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu
2021	J	`jnl`	S CoRR Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu
2021	J	`jnl`	Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. CoRR K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
2021	J	`jnl`	Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. IEEE Trans. Computational Imaging K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
2021	J	`jnl`	Your Classifier can Secretly Suffice Multi-Source Domain Adaptation. CoRR Naveen Venkat, Jogendra Nath Kundu, Durgesh Kumar Singh, Ambareesh Revanur, R. Venkatesh Babu
2020	—	`conf`	Adversarial Fooling Beyond "Flipping the Label". CVPR Workshops Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
2020	J	`jnl`	Adversarial Fooling Beyond "Flipping the Label". CoRR Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
2020	J	`jnl`	Appearance Consensus Driven Self-Supervised Human Mesh Recovery. CoRR Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu
2020	—	`conf`	Appearance Consensus Driven Self-supervised Human Mesh Recovery. ECCV (1) Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu
2020	B	`conf`	CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. IJCNN K. Ram Prabhakar, Akshaya Ramaswamy, Suvaansh Bhambri, Jayavardhana Gubbi, R. Venkatesh Babu, Balamuralidhar Purushothaman
2020	—	`conf`	Class-Incremental Domain Adaptation. ECCV (13) Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu
2020	J	`jnl`	Class-Incremental Domain Adaptation. CoRR Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu
2020	J	`jnl`	Completely Self-Supervised Crowd Counting via Distribution Matching. CoRR Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel
2020	A*	`conf`	From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. CVPR Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu
2020	J	`jnl`	From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks. CoRR Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu
2020	—	`conf`	Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. BigMM Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty
2020	J	`jnl`	Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. CoRR Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty
2020	A	`conf`	Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds. WACV Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha N. S., R. Venkatesh Babu
2020	J	`jnl`	Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. CoRR Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu
2020	J	`jnl`	Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. CoRR Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
2020	—	`conf`	Learning to Count in the Crowd from Limited Labeled Data. ECCV (11) Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Babu Sam, R. Venkatesh Babu, Vishal M. Patel
2020	J	`jnl`	Learning to Count in the Crowd from Limited Labeled Data. CoRR Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Babu Sam, R. Venkatesh Babu, Vishal M. Patel
2020	J	`jnl`	Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. IEEE Trans. Inf. Forensics Secur. Navaneet K. L., Ravi Kiran Sarvadevabhatla, Shashank Shekhar, R. Venkatesh Babu, Anirban Chakraborty
2020	J	`jnl`	PerSeg : segmenting salient objects from bag of single image perturbations. Multim. Tools Appl. Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty
2020	J	`jnl`	Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. IEEE Trans. Pattern Anal. Mach. Intell. Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu
2020	—	`conf`	Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training. CVPR Workshops Vivek B. S., Ambareesh Revanur, Naveen Venkat, R. Venkatesh Babu
2020	J	`jnl`	Regularizers for Single-step Adversarial Training. CoRR Vivek B. S., R. Venkatesh Babu
2020	B	`conf`	Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. ICIP Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
2020	J	`jnl`	Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks. CoRR Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
2020	A*	`conf`	Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CVPR Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
2020	J	`jnl`	Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CoRR Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
2020	A*	`conf`	Single-Step Adversarial Training With Dropout Scheduling. CVPR Vivek B. S., R. Venkatesh Babu
2020	J	`jnl`	Single-step Adversarial training with Dropout Scheduling. CoRR Vivek B. S., R. Venkatesh Babu
2020	A	`conf`	Text-based Person Search via Attribute-aided Matching. WACV Surbhi Aggarwal, R. Venkatesh Babu, Anirban Chakraborty
2020	A*	`conf`	Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CVPR Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
2020	J	`jnl`	Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CoRR Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
2020	A*	`conf`	Towards Inheritable Models for Open-Set Domain Adaptation. CVPR Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu
2020	J	`jnl`	Towards Inheritable Models for Open-Set Domain Adaptation. CoRR Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu
2020	—	`conf`	Towards Practical and Efficient High-Resolution HDR Deghosting with CNN. ECCV (21) K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath, R. Venkatesh Babu
2020	A*	`conf`	Universal Source-Free Domain Adaptation. CVPR Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu
2020	J	`jnl`	Universal Source-Free Domain Adaptation. CoRR Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu
2020	A	`conf`	Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion. WACV Jogendra Nath Kundu, Rahul M. V., Jay Patravali, R. Venkatesh Babu
2020	J	`jnl`	Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation. CoRR Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu
2020	—	`conf`	Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation. ECCV (13) Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu
2020	A	`conf`	VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform. WACV Jogendra Nath Kundu, Gaurav Singh Rajput, R. Venkatesh Babu
2019	B	`conf`	A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion. ICCP K. Ram Prabhakar, Rajat Arora, Adhitya Swaminathan, Kunal Pratap Singh, R. Venkatesh Babu
2019	Misc	`conf`	All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification. ICASSP Navaneet K. L., Vasudha Todi, R. Venkatesh Babu, Anirban Chakraborty
2019	A*	`conf`	Almost Unsupervised Learning for Dense Crowd Counting. AAAI Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu
2019	A*	`conf`	BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. AAAI Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu
2019	A*	`conf`	CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. AAAI Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu
2019	J	`jnl`	CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions. IEEE Trans. Image Process. Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu
2019	—	`conf`	DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering. CVPR Workshops Navaneet K. L., Priyanka Mandikal, Varun Jampani, R. Venkatesh Babu
2019	J	`jnl`	DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. CoRR Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu
2019	J	`jnl`	Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. CoRR Priyanka Mandikal, R. Venkatesh Babu
2019	B	`conf`	Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). ICIP Gaurav Kumar Nayak, Utkarsh Shreemali, R. Venkatesh Babu, Anirban Chakraborty
2019	—	`conf`	Enhancing Salient Object Segmentation Through Attention. CVPR Workshops Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu
2019	J	`jnl`	Enhancing Salient Object Segmentation Through Attention. CoRR Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu
2019	J	`jnl`	FDA: Feature Disruptive Attack. CoRR Aditya Ganeshan, Vivek B. S., R. Venkatesh Babu
2019	J	`jnl`	GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. CoRR Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, R. Venkatesh Babu
2019	J	`jnl`	Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations. IEEE Trans. Pattern Anal. Mach. Intell. Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
2019	J	`jnl`	Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection. CoRR Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha N. S., Amogh Kamath, R. Venkatesh Babu
2019	—	`conf`	Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training. CVPR Workshops Vivek B. S., Arya Baburaj, R. Venkatesh Babu
2019	J	`jnl`	UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. CoRR Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu
2019	J	`jnl`	Zero-Shot Knowledge Distillation in Deep Networks. CoRR Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty
2018	J	`jnl`	3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. CoRR Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, R. Venkatesh Babu
2018	J	`jnl`	3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image. CoRR Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu
2018	—	`conf`	3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image. ECCV Workshops (3) Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu
2018	J	`jnl`	A real-time implementation of SIFT using GPU. J. Real Time Image Process. Acharya K. Aniruddha, R. Venkatesh Babu, Sathish S. Vadhiyar
2018	A*	`conf`	AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. CVPR Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu
2018	J	`jnl`	AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. CoRR Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu
2018	—	`conf`	Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions. ECCV (9) Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu
2018	J	`jnl`	Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions. CoRR Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu
2018	—	`conf`	BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. ICVGIP Akshayvarun Subramanya, Konda Reddy Mopuri, R. Venkatesh Babu
2018	J	`jnl`	BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. CoRR Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu
2018	J	`jnl`	CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision. CoRR Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu
2018	J	`jnl`	Deep Sequential Multi-camera Feature Fusion for Person Re-identification. CoRR Navaneet K. L., Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu, Anirban Chakraborty
2018	A*	`conf`	Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN. CVPR Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu, Mukundhan Srinivasan
2018	J	`jnl`	Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN. CoRR Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu
2018	—	`conf`	Estimating Confidence for Deep Neural Networks through Density modeling. SPCOM Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu
2018	A*	`conf`	Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing. AAAI Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu
2018	J	`jnl`	Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations. CoRR Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
2018	—	`conf`	Gray-Box Adversarial Training. ECCV (15) Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu
2018	J	`jnl`	Gray-box Adversarial Training. CoRR Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu
2018	—	`conf`	Learning Representations with Strong Supervision for Image Search. SPCOM Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu
2018	A*	`conf`	NAG: Network for Adversary Generation. CVPR Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu
2018	—	`conf`	Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence. ECCV Workshops (3) Jogendra Nath Kundu, M. V. Rahul, Aditya Ganeshan, R. Venkatesh Babu
2018	J	`jnl`	Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence. CoRR Jogendra Nath Kundu, Rahul M. V., Aditya Ganeshan, R. Venkatesh Babu
2018	A*	`conf`	Top-Down Feedback for Crowd Counting Convolutional Neural Network. AAAI Deepak Babu Sam, R. Venkatesh Babu
2018	J	`jnl`	Top-Down Feedback for Crowd Counting Convolutional Neural Network. CoRR Deepak Babu Sam, R. Venkatesh Babu
2018	J	`jnl`	Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold. CoRR Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, R. Venkatesh Babu
2018	J	`jnl`	iSPA-Net: Iterative Semantic Pose Alignment Network. CoRR Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V., Aditya Prakash, R. Venkatesh Babu
2017	—	`ch.`	An Introduction to Deep Convolutional Neural Nets for Computer Vision. Deep Learning for Medical Image Analysis Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2017	J	`jnl`	Anomaly detection via short local trajectories. Neurocomputing Sovan Biswas, R. Venkatesh Babu
2017	—	`conf`	Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction. NCVPRIPG Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty
2017	J	`jnl`	CNN Fixations: An unraveling approach to visualize the discriminative image regions. CoRR Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu
2017	J	`jnl`	Confidence estimation in Deep Neural networks via density modelling. CoRR Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu
2017	A*	`conf`	DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data. CVPR Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
2017	—	`conf`	Deep Neural Network for Foreground Object Segmentation: An Unsupervised Approach. NCVPRIPG Avishek Majumder, R. Venkatesh Babu
2017	J	`jnl`	Deep image representations using caption generators. CoRR Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu
2017	J	`jnl`	DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations. IEEE Trans. Image Process. Srinivas S. S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu
2017	A*	`conf`	DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. ICCV K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu
2017	J	`jnl`	DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. CoRR K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu
2017	J	`jnl`	Evaluating Multiexposure Fusion Using Image Information. IEEE Signal Process. Lett. Hisham Rahman, Rajiv Soundararajan, R. Venkatesh Babu
2017	J	`jnl`	Fast Feature Fool: A data independent approach to universal adversarial perturbations. CoRR Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu
2017	—	`conf`	Image Denoising via CNNs: An Adversarial Approach. CVPR Workshops Nithish Divakar, R. Venkatesh Babu
2017	J	`jnl`	Image Denoising via CNNs: An Adversarial Approach. CoRR Nithish Divakar, R. Venkatesh Babu
2017	J	`jnl`	NAG: Network for Adversary Generation. CoRR Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu
2017	J	`jnl`	Object Category Understanding via Eye Fixations on Freehand Sketches. IEEE Trans. Image Process. Ravi Kiran Sarvadevabhatla, Sudharshan Suresh, R. Venkatesh Babu
2017	J	`jnl`	Object category understanding via eye fixations on freehand sketches. CoRR Ravi Kiran Sarvadevabhatla, Sudharshan Suresh, R. Venkatesh Babu
2017	J	`jnl`	SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks. CoRR Ravi Kiran Sarvadevabhatla, Isht Dwivedi, Abhijat Biswas, Sahil Manocha, R. Venkatesh Babu
2017	A*	`conf`	Switching Convolutional Neural Network for Crowd Counting. CVPR Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu
2017	J	`jnl`	Switching Convolutional Neural Network for Crowd Counting. CoRR Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu
2017	—	`conf`	Training Sparse Neural Networks. CVPR Workshops Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu
2016	—	`conf`	'Part'ly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems. ACCV (5) Ravi Kiran Sarvadevabhatla, Shanthakumar Venkatraman, R. Venkatesh Babu
2016	J	`jnl`	'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems. CoRR Ravi Kiran Sarvadevabhatla, Shanthakumar Venkatraman, R. Venkatesh Babu
2016	J	`jnl`	A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. CoRR Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2016	J	`jnl`	A survey on compressed domain video analysis techniques. Multim. Tools Appl. R. Venkatesh Babu, Manu Tom, Paras Wadekar
2016	—	`conf`	ARRNET: Action recognition through recurrent neural networks. SPCOM Kumaresh Krishnan, Nikita Prabhu, R. Venkatesh Babu
2016	A*	`conf`	Analyzing Structural Characteristics of Object Category Representations From Their Semantic-part Distributions. ACM Multimedia Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
2016	—	`conf`	Analyzing object categories via novel category ranking measures defined on visual feature embeddings. ICVGIP Ravi Kiran Sarvadevabhatla, Raviteja Meesala, Manjunath Hegde, R. Venkatesh Babu
2016	J	`jnl`	Compensating for Large In-Plane Rotations in Natural Images. CoRR Lokesh Boominathan, Suraj Srinivas, R. Venkatesh Babu
2016	—	`conf`	Compensating for large in-plane rotations in natural images. ICVGIP Lokesh Boominathan, Suraj Srinivas, R. Venkatesh Babu
2016	A*	`conf`	CrowdNet: A Deep Convolutional Network for Dense Crowd Counting. ACM Multimedia Lokesh Boominathan, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2016	J	`jnl`	CrowdNet: A Deep Convolutional Network for Dense Crowd Counting. CoRR Lokesh Boominathan, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2016	—	`conf`	Customizing CNNs for blood vessel segmentation from fundus images. SPCOM Sunil Kumar Vengalil, Neelam Sinha, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2016	—	`conf`	Deep image inpainting with region prediction at hierarchical scales. ICVGIP Souradeep Chakraborty, Jogendra Nath Kundu, R. Venkatesh Babu
2016	—	`conf`	Denoising in a Jiffy: A fast and GPU friendly algorithm for image denoising. SPCOM Nithish Divakar, R. Venkatesh Babu
2016	A*	`conf`	Enabling My Robot To Play Pictionary: Recurrent Neural Networks For Sketch Recognition. ACM Multimedia Ravi Kiran Sarvadevabhatla, Jogendra Kundu, R. Venkatesh Babu
2016	J	`jnl`	Generalized Dropout. CoRR Suraj Srinivas, R. Venkatesh Babu
2016	—	`conf`	Ghosting free HDR for dynamic scenes via shift-maps. ICVGIP K. Ram Prabhakar, R. Venkatesh Babu
2016	Misc	`conf`	Ghosting-free multi-exposure image fusion in gradient domain. ICASSP K. Ram Prabhakar, R. Venkatesh Babu
2016	Misc	`conf`	Object saliency using a background prior. ICASSP Chintak Sheth, R. Venkatesh Babu
2016	A*	`conf`	Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation. CVPR Srinivas S. S. Kruthiventi, Vennela Gudisa, Jaley H. Dholakiya, R. Venkatesh Babu
2016	J	`jnl`	Sparse representation-based human detection: a scale-embedded dictionary approach. Signal Image Video Process. G. Krishna Vinay, Sk. Mohammadul Haque, R. Venkatesh Babu, K. R. Ramakrishnan
2016	J	`jnl`	SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition. CoRR Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2016	A*	`conf`	SwiDeN: Convolutional Neural Networks For Depiction Invariant Object Recognition. ACM Multimedia Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2016	—	`conf`	Towards semantic visual representation: augmenting image representation with natural language descriptors. ICVGIP Konda Reddy Mopuri, R. Venkatesh Babu
2016	—	`conf`	TraCount: a deep convolutional neural network for highly overlapping vehicle counting. ICVGIP Shiv Surya, R. Venkatesh Babu
2016	J	`jnl`	Training Sparse Neural Networks. CoRR Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu
2015	J	`jnl`	A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. Frontiers Robotics AI Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2015	J	`jnl`	Analyzing structural characteristics of object category representations from their semantic-part distributions. CoRR Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
2015	J	`jnl`	Anomaly detection in compressed H.264/AVC video. Multim. Tools Appl. Sovan Biswas, R. Venkatesh Babu
2015	A*	`conf`	Attribute-Graph: A Graph Based Approach to Image Ranking. ICCV Nikita Prabhu, R. Venkatesh Babu
2015	J	`jnl`	Attribute-Graph: A Graph based approach to Image Ranking. CoRR Nikita Prabhu, R. Venkatesh Babu
2015	J	`jnl`	Category-Epitomes : Discriminatively Minimalist Representations for Object Categories. CoRR Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
2015	J	`jnl`	Compressed domain human action recognition in H.264/AVC video streams. Multim. Tools Appl. Manu Tom, R. Venkatesh Babu, R. Gnana Praveen
2015	J	`jnl`	Crowd Flow Segmentation in Compressed Domain using CRF. CoRR Srinivas S. Kruthiventi, R. Venkatesh Babu
2015	B	`conf`	Crowd flow segmentation in compressed domain using CRF. ICIP Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2015	A	`conf`	Data-free Parameter Pruning for Deep Neural Networks. BMVC Suraj Srinivas, R. Venkatesh Babu
2015	J	`jnl`	Data-free parameter pruning for Deep Neural Networks. CoRR Suraj Srinivas, R. Venkatesh Babu
2015	J	`jnl`	DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations. CoRR Srinivas S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu
2015	—	`conf`	Dominant flow extraction and analysis in traffic surveillance videos. CVPR Workshops Srinivas S. Kruthiventi, R. Venkatesh Babu
2015	J	`jnl`	Expresso : A user-friendly GUI for designing, training and using Convolutional Neural Networks. CoRR Jaley H. Dholakiya, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
2015	A*	`conf`	Eye of the Dragon: Exploring Discriminatively Minimalist Sketch-based Abstractions for Object Categories. ACM Multimedia Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
2015	J	`jnl`	Freehand Sketch Recognition Using Deep Features. CoRR Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
2015	J	`jnl`	Human action recognition in H.264/AVC compressed domain using meta-cognitive radial basis function network. Appl. Soft Comput. R. Venkatesh Babu, Badrinarayanan Rangarajan, Suresh Sundaram, Manu Tom
2015	J	`jnl`	Learning the Architecture of Deep Neural Networks. CoRR Suraj Srinivas, R. Venkatesh Babu
2015	J	`jnl`	Object Level Deep Feature Pooling for Compact Image Representation. CoRR Konda Reddy Mopuri, R. Venkatesh Babu
2015	—	`conf`	Object level deep feature pooling for compact image representation. CVPR Workshops Konda Reddy Mopuri, R. Venkatesh Babu
2015	J	`jnl`	Robust tracking with interest points: A sparse representation approach. Image Vis. Comput. R. Venkatesh Babu, Priti Parate, Acharya K. Aniruddha
2015	J	`jnl`	Salient Object Detection via Objectness Measure. CoRR R. Sai Srivatsa, R. Venkatesh Babu
2015	B	`conf`	Salient object detection via objectness measure. ICIP R. Sai Srivatsa, R. Venkatesh Babu
2015	J	`jnl`	Synthetic image super resolution using FeatureMatch. Multim. Tools Appl. S. Avinash Ramakanth, R. Venkatesh Babu
2014	—	`conf`	3D Action Recognition by Learning Sequences of Poses. ICVGIP Srinivas S. Kruthiventi, R. Venkatesh Babu
2014	J	`jnl`	Approximate Nearest Neighbour Field based Optic Disk Detection. Comput. Medical Imaging Graph. S. Avinash Ramakanth, R. Venkatesh Babu
2014	J	`jnl`	FeatureMatch: A General ANNF Estimation Technique and its Applications. IEEE Trans. Image Process. S. Avinash Ramakanth, R. Venkatesh Babu
2014	Misc	`conf`	Optical flow estimation using Approximate Nearest Neighbor Field fusion. ICASSP O. U. Nirmal Jith, S. Avinash Ramakanth, R. Venkatesh Babu
2014	—	`conf`	Patch Flow based Visual Object Tracking. ICVGIP Nikita Prabhu, S. Avinash Ramakanth, R. Venkatesh Babu
2014	A*	`conf`	SeamSeg: Video Object Segmentation Using Patch Seams. CVPR S. Avinash Ramakanth, R. Venkatesh Babu
2014	—	`conf`	Secret Image Sharing using Fractal Codes. ICVGIP Acharya K. Aniruddha, R. Venkatesh Babu
2014	—	`conf`	Short Local Trajectory based moving anomaly detection. ICVGIP Sovan Biswas, R. Venkatesh Babu
2014	B	`conf`	Sparse representation based anomaly detection with enhanced local dictionaries. ICIP Sovan Biswas, R. Venkatesh Babu
2014	—	`conf`	Super Pixel Clustering via Kernel Density Estimation. ICVGIP Chintak Sheth, R. Venkatesh Babu
2014	B	`conf`	Super-pixel based crowd flow segmentation in H.264 compressed videos. ICIP Sovan Biswas, R. Gnana Praveen, R. Venkatesh Babu
2014	Misc	`conf`	Visual object tracking via random ferns based classification. ICASSP Acharya K. Aniruddha, R. Venkatesh Babu
2013	Misc	`conf`	A near optimal projection for Sparse representation based classification. ICASSP Sreekanth Raja, R. Venkatesh Babu
2013	B	`conf`	Context-aware real-time tracking in sparse representation framework. ICIP M. J. Ashwini, R. Venkatesh Babu, K. R. Ramakrishnan
2013	—	`conf`	Fast moving-object detection in H.264/AVC compressed domain for video surveillance. NCVPRIPG Manu Tom, R. Venkatesh Babu
2013	Misc	`conf`	H.264 compressed video classification using Histogram of Oriented Motion Vectors (HOMV). ICASSP Sovan Biswas, R. Venkatesh Babu
2013	B	`conf`	Interest points based object tracking via sparse representation. ICIP R. Venkatesh Babu, Priti Parate
2013	—	`conf`	OD-Match: PatchMatch based Optic Disk detection. NCVPRIPG S. Avinash Ramakanth, R. Venkatesh Babu
2013	C	`conf`	Rapid human action recognition in H.264/AVC compressed domain for video surveillance. VCIP Manu Tom, R. Venkatesh Babu
2013	—	`conf`	Real time anomaly detection in H.264 compressed videos. NCVPRIPG Sovan Biswas, R. Venkatesh Babu
2013	—	`conf`	Real-time human action recognition from motion capture data. NCVPRIPG Suraj Vantigodi, R. Venkatesh Babu
2013	B	`conf`	Real-time robust tracking via sparse representation: A mode-seeking approach. ICIP R. Venkatesh Babu
2013	—	`conf`	Spatio-temporal feature based VLAD for efficient video retrieval. NCVPRIPG Mopuri K. Reddy, Sahil Arora, R. Venkatesh Babu
2013	—	`conf`	Speeding up SIFT using GPU. NCVPRIPG Acharya K. Aniruddha, R. Venkatesh Babu
2013	J	`jnl`	Subject independent human action recognition using spatio-depth information and meta-cognitive RBF network. Eng. Appl. Artif. Intell. R. Venkatesh Babu, Ramaswamy Savitha, Suresh Sundaram, Bhuvnesh Agarwal
2012	—	`conf`	Feature match: an efficient low dimensional PatchMatch technique. ICVGIP S. Avinash Ramakanth, R. Venkatesh Babu
2012	B	`conf`	Fragment-based real-time object tracking: A sparse representation approach. ICIP M. S. Naresh Kumar, Priti Parate, R. Venkatesh Babu
2012	J	`jnl`	Human action recognition using a fast learning fully complex-valued classifier. Neurocomputing R. Venkatesh Babu, Suresh Sundaram, Ramaswamy Savitha
2012	Misc	`conf`	Human detection using sparse representation. ICASSP G. Krishna Vinay, Sk. Mohammadul Haque, R. Venkatesh Babu, K. R. Ramakrishnan
2012	—	`conf`	Human gait recognition using depth camera: a covariance based approach. ICVGIP M. S. Naresh Kumar, R. Venkatesh Babu
2012	—	`conf`	Local appearance based robust tracking via sparse representation. ICVGIP Avinash Ruchandani, R. Venkatesh Babu
2012	B	`conf`	Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition. IJCNN K. Subramanian, Suresh Sundaram, R. Venkatesh Babu
2012	B	`conf`	Optic disk localization using L1 minimization. ICIP Neelam Sinha, R. Venkatesh Babu
2012	—	`conf`	Super resolution via sparse representation in ICVGIP S. Sudarshan, R. Venkatesh Babu
2011	B	`conf`	Fully complex-valued ELM classifiers for human action recognition. IJCNN R. Venkatesh Babu, Suresh Sundaram
2010	J	`jnl`	Fragmented Particles-Based Robust Object Tracking with Feature Fusion. Int. J. Image Graph. Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja, K. R. Ramakrishnan
2010	J	`jnl`	Online adaptive radial basis function networks for robust object tracking. Comput. Vis. Image Underst. R. Venkatesh Babu, Suresh Sundaram, Anamitra Makur
2009	J	`jnl`	No-reference image quality assessment using modified extreme learning machine classifier. Appl. Soft Comput. Suresh Sundaram, R. Venkatesh Babu, Hyoung Joong Kim
2008	J	`jnl`	Evaluation and monitoring of video quality for UMA enabled video streaming systems. Multim. Tools Appl. R. Venkatesh Babu, Andrew Perkis, Odd Inge Hillestad
2008	J	`jnl`	Robust object tracking with background-weighted local kernels. Comput. Vis. Image Underst. Jaideep Jeyakar, R. Venkatesh Babu, K. R. Ramakrishnan
2007	J	`jnl`	Compressed domain video retrieval using object and global motion descriptors. Multim. Tools Appl. R. Venkatesh Babu, K. R. Ramakrishnan
2007	—	`conf`	Feature Fusion for Robust Object Tracking Using Fragmented Particles. ICDSC Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja, Kalpathi R. Ramakrishnan
2007	—	`conf`	Kernel-Based Spatial-Color Modeling for Fast Moving Object Tracking. ICASSP (1) R. Venkatesh Babu, Anamitra Makur
2007	J	`jnl`	No-reference JPEG-image quality assessment using GAP-RBF. Signal Process. R. Venkatesh Babu, Suresh Sundaram, Andrew Perkis
2007	—	`conf`	Robust Object Tracking using Local Kernels and Background Information. ICIP (5) Jaideep Jeyakar, R. Venkatesh Babu, K. R. Ramakrishnan
2007	—	`conf`	Robust Object Tracking with Radial Basis Function Networks. ICASSP (1) R. Venkatesh Babu, Suresh Sundaram, Anamitra Makur
2007	J	`jnl`	Robust tracking with motion estimation and local Kernel-based color modeling. Image Vis. Comput. R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy
2006	—	`conf`	GAP-RBF Based NR Image Quality Measurement for JPEG Coded Images. ICVGIP R. Venkatesh Babu, Suresh Sundaram
2006	C	`conf`	Image Quality Measurement Using Sparse Extreme Learning Machine Classifier. ICARCV Suresh Sundaram, R. Venkatesh Babu, Narasimhan Sundararajan
2006	—	`conf`	Kernel-Based Robust Tracking for Objects Undergoing Occlusion. ACCV (2) R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy
2006	C	`conf`	Object-based Surveillance Video Compression using Foreground Motion Compensation. ICARCV R. Venkatesh Babu, Anamitra Makur
2005	—	`conf`	An HVS-based no-reference perceptual quality assessment of JPEG coded images using neural networks. ICIP (1) R. Venkatesh Babu, Andrew Perkis
2005	—	`conf`	Robust tracking with motion estimation and kernel-based color modelling. ICIP (1) R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy
2004	—	`conf`	A Perceptual No-Reference Blockiness Metric for JPEG Images. ICVGIP R. Venkatesh Babu, Ajit S. Bopardikar, Andrew Perkis
2004	—	`conf`	A QOS-DRIVEN UMA viewer in MPEG-21 framework. EUSIPCO Andrew Perkis, R. Venkatesh Babu, Peder Drege
2004	J	`jnl`	Recognition of human actions using motion history information extracted from the compressed video. Image Vis. Comput. R. Venkatesh Babu, K. R. Ramakrishnan
2004	J	`jnl`	Sprite Generation From Mpeg Video Using Motion Information. Int. J. Image Graph. R. Venkatesh Babu, K. R. Ramakrishnan
2004	J	`jnl`	Video object segmentation: a compressed domain approach. IEEE Trans. Circuits Syst. Video Technol. R. Venkatesh Babu, K. R. Ramakrishnan, S. H. Srinivasan
2003	—	`conf`	Compressed domain human motion recognition using motion history information. ICASSP (3) R. Venkatesh Babu, K. R. Ramakrishnan
2003	—	`conf`	Compressed domain human motion recognition using motion history information. ICIP (3) R. Venkatesh Babu, K. R. Ramakrishnan
2002	—	`conf`	Background Sprite Generation Using MPEG Motion Vectors. ICVGIP R. Venkatesh Babu, K. R. Ramakrishnan
2002	J	`jnl`	Compressed domain action classification using HMM. Pattern Recognit. Lett. R. Venkatesh Babu, B. Anantharaman, K. R. Ramakrishnan, S. H. Srinivasan
2002	Misc	`conf`	Compressed domain motion segmentation for video object extraction. ICASSP R. Venkatesh Babu, K. R. Ramakrishnan
2002	—	`conf`	Content-based video retrieval using motion descriptors extracted from compressed domain. ISCAS (4) R. Venkatesh Babu, K. R. Ramakrishnan