Compressed domain motion segmentation for video object extraction. - R. Venkatesh Babu; K. R. Ramakrishnan (ICASSP, 2002)

Background Sprite Generation Using MPEG Motion Vectors. - R. Venkatesh Babu; K. R. Ramakrishnan (ICVGIP, 2002)

Content-based video retrieval using motion descriptors extracted from compressed domain. - R. Venkatesh Babu; K. R. Ramakrishnan (ISCAS (4), 2002)

Compressed domain action classification using HMM. - R. Venkatesh Babu; B. Anantharaman; K. R. Ramakrishnan; S. H. Srinivasan (Pattern Recognit. Lett., 2002)

Compressed domain human motion recognition using motion history information. - R. Venkatesh Babu; K. R. Ramakrishnan (ICASSP (3), 2003)

A QOS-DRIVEN UMA viewer in MPEG-21 framework. - Andrew Perkis; R. Venkatesh Babu; Peder Drege (EUSIPCO, 2004)

A Perceptual No-Reference Blockiness Metric for JPEG Images. - R. Venkatesh Babu; Ajit S. Bopardikar; Andrew Perkis (ICVGIP, 2004)

Sprite Generation From Mpeg Video Using Motion Information. - R. Venkatesh Babu; K. R. Ramakrishnan (Int. J. Image Graph., 2004)

Recognition of human actions using motion history information extracted from the compressed video. - R. Venkatesh Babu; K. R. Ramakrishnan (Image Vis. Comput., 2004)

Video object segmentation: a compressed domain approach. - R. Venkatesh Babu; K. R. Ramakrishnan; S. H. Srinivasan (IEEE Trans. Circuits Syst. Video Technol., 2004)

An HVS-based no-reference perceptual quality assessment of JPEG coded images using neural networks. - R. Venkatesh Babu; Andrew Perkis (ICIP (1), 2005)

Robust tracking with motion estimation and kernel-based color modelling. - R. Venkatesh Babu; Patrick Pérez; Patrick Bouthemy (ICIP (1), 2005)

Kernel-Based Robust Tracking for Objects Undergoing Occlusion. - R. Venkatesh Babu; Patrick Pérez; Patrick Bouthemy (ACCV (2), 2006)

Object-based Surveillance Video Compression using Foreground Motion Compensation. - R. Venkatesh Babu; Anamitra Makur (ICARCV, 2006)

Image Quality Measurement Using Sparse Extreme Learning Machine Classifier. - Suresh Sundaram 002; R. Venkatesh Babu; Narasimhan Sundararajan (ICARCV, 2006)

GAP-RBF Based NR Image Quality Measurement for JPEG Coded Images. - R. Venkatesh Babu; Suresh Sundaram 002 (ICVGIP, 2006)

Kernel-Based Spatial-Color Modeling for Fast Moving Object Tracking. - R. Venkatesh Babu; Anamitra Makur (ICASSP (1), 2007)

Robust Object Tracking with Radial Basis Function Networks. - R. Venkatesh Babu; Suresh Sundaram 002; Anamitra Makur (ICASSP (1), 2007)

Feature Fusion for Robust Object Tracking Using Fragmented Particles. - Chhabi Nigam; R. Venkatesh Babu; S. Kumar Raja; Kalpathi R. Ramakrishnan (ICDSC, 2007)

Robust Object Tracking using Local Kernels and Background Information. - Jaideep Jeyakar; R. Venkatesh Babu; K. R. Ramakrishnan (ICIP (5), 2007)

Robust tracking with motion estimation and local Kernel-based color modeling. - R. Venkatesh Babu; Patrick Pérez; Patrick Bouthemy (Image Vis. Comput., 2007)

Compressed domain video retrieval using object and global motion descriptors. - R. Venkatesh Babu; K. R. Ramakrishnan (Multim. Tools Appl., 2007)

No-reference JPEG-image quality assessment using GAP-RBF. - R. Venkatesh Babu; Suresh Sundaram 002; Andrew Perkis (Signal Process., 2007)

Robust object tracking with background-weighted local kernels. - Jaideep Jeyakar; R. Venkatesh Babu; K. R. Ramakrishnan (Comput. Vis. Image Underst., 2008)

Evaluation and monitoring of video quality for UMA enabled video streaming systems. - R. Venkatesh Babu; Andrew Perkis; Odd Inge Hillestad (Multim. Tools Appl., 2008)

No-reference image quality assessment using modified extreme learning machine classifier. - Suresh Sundaram 002; R. Venkatesh Babu; Hyoung Joong Kim (Appl. Soft Comput., 2009)

Online adaptive radial basis function networks for robust object tracking. - R. Venkatesh Babu; Suresh Sundaram 002; Anamitra Makur (Comput. Vis. Image Underst., 2010)

Fragmented Particles-Based Robust Object Tracking with Feature Fusion. - Chhabi Nigam; R. Venkatesh Babu; S. Kumar Raja; K. R. Ramakrishnan (Int. J. Image Graph., 2010)

Fully complex-valued ELM classifiers for human action recognition. - R. Venkatesh Babu; Suresh Sundaram 002 (IJCNN, 2011)

Human detection using sparse representation. - G. Krishna Vinay; Sk. Mohammadul Haque; R. Venkatesh Babu; K. R. Ramakrishnan (ICASSP, 2012)

Fragment-based real-time object tracking: A sparse representation approach. - M. S. Naresh Kumar; Priti Parate; R. Venkatesh Babu (ICIP, 2012)

Optic disk localization using L1 minimization. - Neelam Sinha; R. Venkatesh Babu (ICIP, 2012)

Human gait recognition using depth camera: a covariance based approach. - M. S. Naresh Kumar; R. Venkatesh Babu (ICVGIP, 2012)

Feature match: an efficient low dimensional PatchMatch technique. - S. Avinash Ramakanth; R. Venkatesh Babu (ICVGIP, 2012)

Local appearance based robust tracking via sparse representation. - Avinash Ruchandani; R. Venkatesh Babu (ICVGIP, 2012)

Super resolution via sparse representation in l1 framework. - S. Sudarshan 002; R. Venkatesh Babu (ICVGIP, 2012)

Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition. - K. Subramanian 001; Suresh Sundaram 002; R. Venkatesh Babu (IJCNN, 2012)

Human action recognition using a fast learning fully complex-valued classifier. - R. Venkatesh Babu; Suresh Sundaram 002; Ramaswamy Savitha (Neurocomputing, 2012)

H.264 compressed video classification using Histogram of Oriented Motion Vectors (HOMV). - Sovan Biswas; R. Venkatesh Babu (ICASSP, 2013)

A near optimal projection for Sparse representation based classification. - Sreekanth Raja; R. Venkatesh Babu (ICASSP, 2013)

Context-aware real-time tracking in sparse representation framework. - M. J. Ashwini; R. Venkatesh Babu; K. R. Ramakrishnan (ICIP, 2013)

Real-time robust tracking via sparse representation: A mode-seeking approach. - R. Venkatesh Babu (ICIP, 2013)

Interest points based object tracking via sparse representation. - R. Venkatesh Babu; Priti Parate (ICIP, 2013)

Speeding up SIFT using GPU. - Acharya K. Aniruddha; R. Venkatesh Babu (NCVPRIPG, 2013)

Real time anomaly detection in H.264 compressed videos. - Sovan Biswas; R. Venkatesh Babu (NCVPRIPG, 2013)

OD-Match: PatchMatch based Optic Disk detection. - S. Avinash Ramakanth; R. Venkatesh Babu (NCVPRIPG, 2013)

Spatio-temporal feature based VLAD for efficient video retrieval. - Mopuri K. Reddy; Sahil Arora; R. Venkatesh Babu (NCVPRIPG, 2013)

Fast moving-object detection in H.264/AVC compressed domain for video surveillance. - Manu Tom; R. Venkatesh Babu (NCVPRIPG, 2013)

Real-time human action recognition from motion capture data. - Suraj Vantigodi; R. Venkatesh Babu (NCVPRIPG, 2013)

Rapid human action recognition in H.264/AVC compressed domain for video surveillance. - Manu Tom; R. Venkatesh Babu (VCIP, 2013)

Subject independent human action recognition using spatio-depth information and meta-cognitive RBF network. - R. Venkatesh Babu; Ramaswamy Savitha; Suresh Sundaram 002; Bhuvnesh Agarwal (Eng. Appl. Artif. Intell., 2013)

SeamSeg: Video Object Segmentation Using Patch Seams. - S. Avinash Ramakanth; R. Venkatesh Babu (CVPR, 2014)

Visual object tracking via random ferns based classification. - Acharya K. Aniruddha; R. Venkatesh Babu (ICASSP, 2014)

Optical flow estimation using Approximate Nearest Neighbor Field fusion. - O. U. Nirmal Jith; S. Avinash Ramakanth; R. Venkatesh Babu (ICASSP, 2014)

Sparse representation based anomaly detection with enhanced local dictionaries. - Sovan Biswas; R. Venkatesh Babu (ICIP, 2014)

Super-pixel based crowd flow segmentation in H.264 compressed videos. - Sovan Biswas; R. Gnana Praveen; R. Venkatesh Babu (ICIP, 2014)

Secret Image Sharing using Fractal Codes. - Acharya K. Aniruddha; R. Venkatesh Babu (ICVGIP, 2014)

Short Local Trajectory based moving anomaly detection. - Sovan Biswas; R. Venkatesh Babu (ICVGIP, 2014)

3D Action Recognition by Learning Sequences of Poses. - Srinivas S. Kruthiventi; R. Venkatesh Babu (ICVGIP, 2014)

Patch Flow based Visual Object Tracking. - Nikita Prabhu; S. Avinash Ramakanth; R. Venkatesh Babu (ICVGIP, 2014)

Super Pixel Clustering via Kernel Density Estimation. - Chintak Sheth; R. Venkatesh Babu (ICVGIP, 2014)

Human action recognition in compressed domain using PBL-McRBFN approach. - Badrinarayanan Rangarajan; Venkatesh Babu Radhakrishnan (ISSNIP, 2014)

An optical flow feature and McFIS based approach for 3-dimensional human action recognition. - Kartick Subramanian; Radhakrishnan Venkatesh Babu; Suresh Sundaram 002 (ISSNIP, 2014)

Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System. - Kartick Subramanian; Radhakrishnan Venkatesh Babu; Savitha Ramasamy (ISSNIP, 2014)

Action recognition from motion capture data using Meta-Cognitive RBF Network classifier. - Suraj Vantigodi; Venkatesh Babu Radhakrishnan (ISSNIP, 2014)

Approximate Nearest Neighbour Field based Optic Disk Detection. - S. Avinash Ramakanth; R. Venkatesh Babu (Comput. Medical Imaging Graph., 2014)

FeatureMatch: A General ANNF Estimation Technique and its Applications. - S. Avinash Ramakanth; R. Venkatesh Babu (IEEE Trans. Image Process., 2014)

Data-free Parameter Pruning for Deep Neural Networks. - Suraj Srinivas; R. Venkatesh Babu (BMVC, 2015)

Dominant flow extraction and analysis in traffic surveillance videos. - Srinivas S. Kruthiventi; R. Venkatesh Babu (CVPR Workshops, 2015)

Object level deep feature pooling for compact image representation. - Konda Reddy Mopuri; R. Venkatesh Babu (CVPR Workshops, 2015)

Attribute-Graph: A Graph Based Approach to Image Ranking. - Nikita Prabhu; R. Venkatesh Babu (ICCV, 2015)

Crowd flow segmentation in compressed domain using CRF. - Srinivas S. S. Kruthiventi; R. Venkatesh Babu (ICIP, 2015)

Salient object detection via objectness measure. - R. Sai Srivatsa; R. Venkatesh Babu (ICIP, 2015)

Eye of the Dragon: Exploring Discriminatively Minimalist Sketch-based Abstractions for Object Categories. - Ravi Kiran Sarvadevabhatla; R. Venkatesh Babu (ACM Multimedia, 2015)

Human action recognition in H.264/AVC compressed domain using meta-cognitive radial basis function network. - R. Venkatesh Babu; Badrinarayanan Rangarajan; Suresh Sundaram 002; Manu Tom (Appl. Soft Comput., 2015)

Expresso : A user-friendly GUI for designing, training and using Convolutional Neural Networks. - Jaley H. Dholakiya; Ravi Kiran Sarvadevabhatla; R. Venkatesh Babu (CoRR, 2015)

Category-Epitomes : Discriminatively Minimalist Representations for Object Categories. - Ravi Kiran Sarvadevabhatla; R. Venkatesh Babu (CoRR, 2015)

Freehand Sketch Recognition Using Deep Features. - Ravi Kiran Sarvadevabhatla; R. Venkatesh Babu (CoRR, 2015)

Learning the Architecture of Deep Neural Networks. - Suraj Srinivas; R. Venkatesh Babu (CoRR, 2015)

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. - Suraj Srinivas; Ravi Kiran Sarvadevabhatla; Konda Reddy Mopuri; Nikita Prabhu; Srinivas S. S. Kruthiventi; R. Venkatesh Babu (Frontiers Robotics AI, 2015)

Robust tracking with interest points: A sparse representation approach. - R. Venkatesh Babu; Priti Parate; Acharya K. Aniruddha (Image Vis. Comput., 2015)

Anomaly detection in compressed H.264/AVC video. - Sovan Biswas; R. Venkatesh Babu (Multim. Tools Appl., 2015)

Synthetic image super resolution using FeatureMatch. - S. Avinash Ramakanth; R. Venkatesh Babu (Multim. Tools Appl., 2015)

Compressed domain human action recognition in H.264/AVC video streams. - Manu Tom; R. Venkatesh Babu; R. Gnana Praveen (Multim. Tools Appl., 2015)

'Part'ly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems. - Ravi Kiran Sarvadevabhatla; Shanthakumar Venkatraman; R. Venkatesh Babu (ACCV (5), 2016)

Learning Neural Network Architectures using Backpropagation. - Suraj Srinivas; Radhakrishnan Venkatesh Babu (BMVC, 2016)

Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation. - Srinivas S. S. Kruthiventi; Vennela Gudisa; Jaley H. Dholakiya; R. Venkatesh Babu (CVPR, 2016)

Ghosting-free multi-exposure image fusion in gradient domain. - K. Ram Prabhakar; R. Venkatesh Babu (ICASSP, 2016)

Object saliency using a background prior. - Chintak Sheth; R. Venkatesh Babu (ICASSP, 2016)

Compensating for large in-plane rotations in natural images. - Lokesh Boominathan; Suraj Srinivas; R. Venkatesh Babu (ICVGIP, 2016)

Deep image inpainting with region prediction at hierarchical scales. - Souradeep Chakraborty; Jogendra Nath Kundu; R. Venkatesh Babu (ICVGIP, 2016)

Towards semantic visual representation: augmenting image representation with natural language descriptors. - Konda Reddy Mopuri; R. Venkatesh Babu (ICVGIP, 2016)

Ghosting free HDR for dynamic scenes via shift-maps. - K. Ram Prabhakar; R. Venkatesh Babu (ICVGIP, 2016)

Analyzing object categories via novel category ranking measures defined on visual feature embeddings. - Ravi Kiran Sarvadevabhatla; Raviteja Meesala; Manjunath Hegde; R. Venkatesh Babu (ICVGIP, 2016)

TraCount: a deep convolutional neural network for highly overlapping vehicle counting. - Shiv Surya; R. Venkatesh Babu (ICVGIP, 2016)

CrowdNet: A Deep Convolutional Network for Dense Crowd Counting. - Lokesh Boominathan; Srinivas S. S. Kruthiventi; R. Venkatesh Babu (ACM Multimedia, 2016)

Analyzing Structural Characteristics of Object Category Representations From Their Semantic-part Distributions. - Ravi Kiran Sarvadevabhatla; R. Venkatesh Babu (ACM Multimedia, 2016)

SwiDeN: Convolutional Neural Networks For Depiction Invariant Object Recognition. - Ravi Kiran Sarvadevabhatla; Shiv Surya; Srinivas S. S. Kruthiventi; R. Venkatesh Babu (ACM Multimedia, 2016)

Enabling My Robot To Play Pictionary: Recurrent Neural Networks For Sketch Recognition. - Ravi Kiran Sarvadevabhatla; Jogendra Kundu; R. Venkatesh Babu (ACM Multimedia, 2016)

Denoising in a Jiffy: A fast and GPU friendly algorithm for image denoising. - Nithish Divakar; R. Venkatesh Babu (SPCOM, 2016)

ARRNET: Action recognition through recurrent neural networks. - Kumaresh Krishnan; Nikita Prabhu; R. Venkatesh Babu (SPCOM, 2016)

Customizing CNNs for blood vessel segmentation from fundus images. - Sunil Kumar Vengalil; Neelam Sinha; Srinivas S. S. Kruthiventi; R. Venkatesh Babu (SPCOM, 2016)

Generalized Dropout. - Suraj Srinivas; R. Venkatesh Babu (CoRR, 2016)

A survey on compressed domain video analysis techniques. - R. Venkatesh Babu; Manu Tom; Paras Wadekar (Multim. Tools Appl., 2016)

Sparse representation-based human detection: a scale-embedded dictionary approach. - G. Krishna Vinay; Sk. Mohammadul Haque; R. Venkatesh Babu; K. R. Ramakrishnan (Signal Image Video Process., 2016)

An Introduction to Deep Convolutional Neural Nets for Computer Vision. - Suraj Srinivas; Ravi Kiran Sarvadevabhatla; Konda Reddy Mopuri; Nikita Prabhu; Srinivas S. S. Kruthiventi; R. Venkatesh Babu (Deep Learning for Medical Image Analysis, 2017)

Fast Feature Fool: A data independent approach to universal adversarial perturbations. - Konda Reddy Mopuri; Utsav Garg; Venkatesh Babu Radhakrishnan (BMVC, 2017)

Image Denoising via CNNs: An Adversarial Approach. - Nithish Divakar; R. Venkatesh Babu (CVPR Workshops, 2017)

DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data. - Swaminathan Gurumurthy; Ravi Kiran Sarvadevabhatla; R. Venkatesh Babu (CVPR, 2017)

Switching Convolutional Neural Network for Crowd Counting. - Deepak Babu Sam; Shiv Surya; R. Venkatesh Babu (CVPR, 2017)

Training Sparse Neural Networks. - Suraj Srinivas; Akshayvarun Subramanya; R. Venkatesh Babu (CVPR Workshops, 2017)

DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. - K. Ram Prabhakar; V. Sai Srikar; R. Venkatesh Babu (ICCV, 2017)

SketchParse: Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks. - Ravi Kiran Sarvadevabhatla; Isht Dwivedi; Abhijat Biswas; Sahil Manocha; Venkatesh Babu R. (ACM Multimedia, 2017)

Deep Neural Network for Foreground Object Segmentation: An Unsupervised Approach. - Avishek Majumder 001; R. Venkatesh Babu (NCVPRIPG, 2017)

Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction. - Avishek Majumder 001; R. Venkatesh Babu; Anirban Chakraborty 001 (NCVPRIPG, 2017)

Deep image representations using caption generators. - Konda Reddy Mopuri; Vishal B. Athreya; R. Venkatesh Babu (CoRR, 2017)

Confidence estimation in Deep Neural networks via density modelling. - Akshayvarun Subramanya; Suraj Srinivas; R. Venkatesh Babu (CoRR, 2017)

Anomaly detection via short local trajectories. - Sovan Biswas; R. Venkatesh Babu (Neurocomputing, 2017)

Evaluating Multiexposure Fusion Using Image Information. - Hisham Rahman; Rajiv Soundararajan; R. Venkatesh Babu (IEEE Signal Process. Lett., 2017)

DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations. - Srinivas S. S. Kruthiventi; Kumar Ayush; R. Venkatesh Babu (IEEE Trans. Image Process., 2017)

Object Category Understanding via Eye Fixations on Freehand Sketches. - Ravi Kiran Sarvadevabhatla; Sudharshan Suresh; R. Venkatesh Babu (IEEE Trans. Image Process., 2017)

Top-Down Feedback for Crowd Counting Convolutional Neural Network. - Deepak Babu Sam; R. Venkatesh Babu (AAAI, 2018)

Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing. - Ravi Kiran Sarvadevabhatla; Shiv Surya; Trisha Mittal; R. Venkatesh Babu (AAAI, 2018)

3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. - Priyanka Mandikal; Navaneet K. L.; Mayank Agarwal; Venkatesh Babu Radhakrishnan (BMVC, 2018)

AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. - Jogendra Nath Kundu; Phani Krishna Uppala; Anuj Pahuja; R. Venkatesh Babu (CVPR, 2018)

NAG: Network for Adversary Generation. - Konda Reddy Mopuri; Utkarsh Ojha; Utsav Garg; R. Venkatesh Babu (CVPR, 2018)

Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN. - Deepak Babu Sam; Neeraj N. Sajjan; R. Venkatesh Babu; Mukundhan Srinivasan (CVPR, 2018)

Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence. - Jogendra Nath Kundu; M. V. Rahul; Aditya Ganeshan; R. Venkatesh Babu (ECCV Workshops (3), 2018)

3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image. - Priyanka Mandikal; Navaneet K. L.; R. Venkatesh Babu (ECCV Workshops (3), 2018)

Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions. - Konda Reddy Mopuri; Phani Krishna Uppala; R. Venkatesh Babu (ECCV (9), 2018)

Gray-Box Adversarial Training. - Vivek B. S.; Konda Reddy Mopuri; R. Venkatesh Babu (ECCV (15), 2018)

BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. - Akshayvarun Subramanya; Konda Reddy Mopuri; R. Venkatesh Babu (ICVGIP, 2018)

iSPA-Net: Iterative Semantic Pose Alignment Network. - Jogendra Nath Kundu; Aditya Ganeshan; Rahul M. V.; Aditya Prakash 008; Venkatesh Babu R. (ACM Multimedia, 2018)

Learning Representations with Strong Supervision for Image Search. - Konda Reddy Mopuri; Vishal B. Athreya; R. Venkatesh Babu (SPCOM, 2018)

Estimating Confidence for Deep Neural Networks through Density modeling. - Akshayvarun Subramanya; Suraj Srinivas; R. Venkatesh Babu (SPCOM, 2018)

Deep Sequential Multi-camera Feature Fusion for Person Re-identification. - Navaneet K. L.; Ravi Kiran Sarvadevabhatla; R. Venkatesh Babu; Anirban Chakraborty 001 (CoRR, 2018)

Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN. - Deepak Babu Sam; Neeraj N. Sajjan; R. Venkatesh Babu (CoRR, 2018)

A real-time implementation of SIFT using GPU. - Acharya K. Aniruddha; R. Venkatesh Babu; Sathish S. Vadhiyar (J. Real Time Image Process., 2018)

BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. - Jogendra Nath Kundu; Maharshi Gor; R. Venkatesh Babu (AAAI, 2019)

CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. - Navaneet K. L.; Priyanka Mandikal; Mayank Agarwal; R. Venkatesh Babu (AAAI, 2019)

Almost Unsupervised Learning for Dense Crowd Counting. - Deepak Babu Sam; Neeraj N. Sajjan; Himanshu Maurya; R. Venkatesh Babu (AAAI, 2019)

DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering. - Navaneet K. L.; Priyanka Mandikal; Varun Jampani; R. Venkatesh Babu (CVPR Workshops, 2019)

Enhancing Salient Object Segmentation Through Attention. - Anuj Pahuja; Avishek Majumder 001; Anirban Chakraborty 001; R. Venkatesh Babu (CVPR Workshops, 2019)

Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training. - Vivek B. S.; Arya Baburaj; R. Venkatesh Babu (CVPR Workshops, 2019)

All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification. - Navaneet K. L.; Vasudha Todi; R. Venkatesh Babu; Anirban Chakraborty 001 (ICASSP, 2019)

A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion. - K. Ram Prabhakar; Rajat Arora; Adhitya Swaminathan; Kunal Pratap Singh; R. Venkatesh Babu (ICCP, 2019)

FDA: Feature Disruptive Attack. - Aditya Ganeshan; Vivek B. S.; Venkatesh Babu Radhakrishnan (ICCV, 2019)

GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. - Jogendra Nath Kundu; Maharshi Gor; Dakshit Agrawal; Venkatesh Babu Radhakrishnan (ICCV, 2019)

UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. - Jogendra Nath Kundu; Nishank Lakkakula; Venkatesh Babu Radhakrishnan (ICCV, 2019)

Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). - Gaurav Kumar Nayak; Utkarsh Shreemali; R. Venkatesh Babu; Anirban Chakraborty 001 (ICIP, 2019)

Zero-Shot Knowledge Distillation in Deep Networks. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Vaisakh Shaj; Venkatesh Babu Radhakrishnan; Anirban Chakraborty 001 (ICML, 2019)

Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold. - Jogendra Nath Kundu; Maharshi Gor; Phani Krishna Uppala; Venkatesh Babu Radhakrishnan (WACV, 2019)

Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. - Priyanka Mandikal; Venkatesh Babu Radhakrishnan (WACV, 2019)

Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations. - Konda Reddy Mopuri; Aditya Ganeshan; R. Venkatesh Babu (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions. - Konda Reddy Mopuri; Utsav Garg; R. Venkatesh Babu (IEEE Trans. Image Process., 2019)

DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. - Sravanti Addepalli; Gaurav Kumar Nayak; Anirban Chakraborty 001; Venkatesh Babu Radhakrishnan (AAAI, 2020)

Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. - Jogendra Nath Kundu; Siddharth Seth; Rahul M. V.; Mugalodi Rakesh; Venkatesh Babu Radhakrishnan; Anirban Chakraborty 001 (AAAI, 2020)

Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. - Gaurav Kumar Nayak; Saksham Jain; R. Venkatesh Babu; Anirban Chakraborty 001 (BigMM, 2020)

WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation. - Surbhi Aggarwal; Jogendra Nath Kundu; Venkatesh Babu Radhakrishnan; Anirban Chakraborty 001 (BMVC, 2020)

Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. - Sravanti Addepalli; Vivek B. S.; Arya Baburaj; Gaurang Sriramanan; R. Venkatesh Babu (CVPR, 2020)

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. - Jogendra Nath Kundu; Siddharth Seth; Varun Jampani; Mugalodi Rakesh; R. Venkatesh Babu; Anirban Chakraborty 001 (CVPR, 2020)

Towards Inheritable Models for Open-Set Domain Adaptation. - Jogendra Nath Kundu; Naveen Venkat; Ambareesh Revanur; Rahul M. V.; R. Venkatesh Babu (CVPR, 2020)

Universal Source-Free Domain Adaptation. - Jogendra Nath Kundu; Naveen Venkat; Rahul M. V.; R. Venkatesh Babu (CVPR, 2020)

From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. - Navaneet K. L.; Ansu Mathew; Shashank Kashyap; Wei-Chih Hung; Varun Jampani; R. Venkatesh Babu (CVPR, 2020)

Adversarial Fooling Beyond "Flipping the Label". - Konda Reddy Mopuri; Vaisakh Shaj; R. Venkatesh Babu (CVPR Workshops, 2020)

Single-Step Adversarial Training With Dropout Scheduling. - Vivek B. S.; R. Venkatesh Babu (CVPR, 2020)

Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training. - Vivek B. S.; Ambareesh Revanur; Naveen Venkat; R. Venkatesh Babu (CVPR Workshops, 2020)

Appearance Consensus Driven Self-supervised Human Mesh Recovery. - Jogendra Nath Kundu; Mugalodi Rakesh; Varun Jampani; Rahul Mysore Venkatesh; R. Venkatesh Babu (ECCV (1), 2020)

Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation. - Jogendra Nath Kundu; Ambareesh Revanur; Govind Vitthal Waghmare; Rahul Mysore Venkatesh; R. Venkatesh Babu (ECCV (13), 2020)

Class-Incremental Domain Adaptation. - Jogendra Nath Kundu; Rahul Mysore Venkatesh; Naveen Venkat; Ambareesh Revanur; R. Venkatesh Babu (ECCV (13), 2020)

Towards Practical and Efficient High-Resolution HDR Deghosting with CNN. - K. Ram Prabhakar; Susmit Agrawal; Durgesh Kumar Singh; Balraj Ashwath; R. Venkatesh Babu (ECCV (21), 2020)

Learning to Count in the Crowd from Limited Labeled Data. - Vishwanath A. Sindagi; Rajeev Yasarla; Deepak Babu Sam; R. Venkatesh Babu; Vishal M. Patel (ECCV (11), 2020)

Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. - Sravanti Addepalli; Dipesh Tamboli; R. Venkatesh Babu; Biplab Banerjee (ICIP, 2020)

CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. - K. Ram Prabhakar; Akshaya Ramaswamy; Suvaansh Bhambri; Jayavardhana Gubbi; R. Venkatesh Babu; Balamuralidhar Purushothaman (IJCNN, 2020)

Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. - Gaurang Sriramanan; Sravanti Addepalli; Arya Baburaj; Venkatesh Babu R. (NeurIPS, 2020)

Your Classifier can Secretly Suffice Multi-Source Domain Adaptation. - Naveen Venkat; Jogendra Nath Kundu; Durgesh Kumar Singh; Ambareesh Revanur; Venkatesh Babu R. (NeurIPS, 2020)

Text-based Person Search via Attribute-aided Matching. - Surbhi Aggarwal; R. Venkatesh Babu; Anirban Chakraborty 001 (WACV, 2020)

Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions. - Jogendra Nath Kundu; Himanshu Buckchash; Priyanka Mandikal; Rahul M. V.; Anirudh Jamkhandi; Venkatesh Babu R. (WACV, 2020)

VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform. - Jogendra Nath Kundu; Gaurav Singh Rajput; R. Venkatesh Babu (WACV, 2020)

Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion. - Jogendra Nath Kundu; Rahul M. V.; Jay Patravali; R. Venkatesh Babu (WACV, 2020)

Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds. - Deepak Babu Sam; Skand Vishwanath Peri; Mukuntha N. S. 001; R. Venkatesh Babu (WACV, 2020)

Regularizers for Single-step Adversarial Training. - Vivek B. S.; R. Venkatesh Babu (CoRR, 2020)

PerSeg : segmenting salient objects from bag of single image perturbations. - Avishek Majumder 001; R. Venkatesh Babu; Anirban Chakraborty 001 (Multim. Tools Appl., 2020)

Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. - Ravi Kiran Sarvadevabhatla; Shiv Surya; Trisha Mittal; R. Venkatesh Babu (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. - Navaneet K. L.; Ravi Kiran Sarvadevabhatla; Shashank Shekhar 006; R. Venkatesh Babu; Anirban Chakraborty 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. - K. Ram Prabhakar; Vishal Vinod; Nihar R. Sahoo; Venkatesh Babu Radhakrishnan (BMVC, 2021)

Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. - Sravanti Addepalli; Samyak Jain; Gaurang Sriramanan; R. Venkatesh Babu (CVPR Workshops, 2021)

Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting. - K. Ram Prabhakar; Gowtham Senthil; Susmit Agrawal; R. Venkatesh Babu; Rama Krishna Sai Subrahmanyam Gorthi (CVPR, 2021)

Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Amit Singh; Varun Jampani; R. Venkatesh Babu (ICCV, 2021)

S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. - Harsh Rangwani; Arihant Jain; Sumukh K. Aithal; R. Venkatesh Babu (ICCV, 2021)

Deep Implicit Surface Point Prediction Networks. - Rahul Venkatesh; Tejan Karmali; Sarthak Sharma; Aurobrata Ghosh; R. Venkatesh Babu; László A. Jeni; Maneesh Singh 001 (ICCV, 2021)

Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. - Vishal Vinod; K. Ram Prabhakar; R. Venkatesh Babu; Anirban Chakraborty 001 (ICCVW, 2021)

Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. - Jogendra Nath Kundu; Siddharth Seth; Anirudh Jamkhandi; Pradyumna YM; Varun Jampani; Anirban Chakraborty 001; Venkatesh Babu R. (NeurIPS, 2021)

Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. - Mugalodi Rakesh; Jogendra Nath Kundu; Varun Jampani; Venkatesh Babu R. (NeurIPS, 2021)

Towards Efficient and Effective Adversarial Training. - Gaurang Sriramanan; Sravanti Addepalli; Arya Baburaj; Venkatesh Babu R. (NeurIPS, 2021)

Class balancing GAN with a classifier in the loop. - Harsh Rangwani; Konda Reddy Mopuri; R. Venkatesh Babu (UAI, 2021)

Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection. - Deepak Babu Sam; Skand Vishwanath Peri; Mukuntha Narayanan Sundararaman; Amogh Kamath; R. Venkatesh Babu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. - K. Ram Prabhakar; Susmit Agrawal; R. Venkatesh Babu (IEEE Trans. Computational Imaging, 2021)

Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Suvaansh Bhambri; Varun Jampani; Venkatesh Babu Radhakrishnan (AAAI, 2022)

Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. - Deepak Babu Sam; Abhinav Agarwalla; Venkatesh Babu Radhakrishnan (AAAI, 2022)

SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. - Susmit Agrawal; Prabhat Kumar; Siddharth Seth; Toufiq Parag; Maneesh Singh 001; R. Venkatesh Babu (CVPR Workshops, 2022)

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. - Jogendra Nath Kundu; Siddharth Seth; Pradyumna YM; Varun Jampani; Anirban Chakraborty 001; R. Venkatesh Babu (CVPR, 2022)

Towards Data-Free Model Stealing in a Hard Label Setting. - Sunandini Sanyal; Sravanti Addepalli; R. Venkatesh Babu (CVPR, 2022)

Towards Efficient and Effective Self-supervised Learning of Visual Representations. - Sravanti Addepalli; Kaushal Bhogale; Priyam Dey; R. Venkatesh Babu (ECCV (31), 2022)

Scaling Adversarial Training to Large Perturbation Bounds. - Sravanti Addepalli; Samyak Jain; Gaurang Sriramanan; R. Venkatesh Babu (ECCV (5), 2022)

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. - Tejan Karmali; Rishubh Parihar; Susmit Agrawal; Harsh Rangwani; Varun Jampani; Maneesh Kumar Singh 001; R. Venkatesh Babu (ECCV (15), 2022)

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. - Jogendra Nath Kundu; Suvaansh Bhambri; Akshay R. Kulkarni; Hiran Sarkar; Varun Jampani; R. Venkatesh Babu (ECCV (30), 2022)

Improving GANs for Long-Tailed Data Through Group Spectral Regularization. - Harsh Rangwani; Naman Jaswani; Tejan Karmali; Varun Jampani; R. Venkatesh Babu (ECCV (15), 2022)

Completely Self-supervised Crowd Counting via Distribution Matching. - Deepak Babu Sam; Abhinav Agarwalla; Jimmy Joseph; Vishwanath A. Sindagi; R. Venkatesh Babu; Vishal M. Patel (ECCV (31), 2022)

Balancing Discriminability and Transferability for Source-Free Domain Adaptation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Suvaansh Bhambri; Deepesh Mehta; Shreyas Anand Kulkarni; Varun Jampani; Venkatesh Babu Radhakrishnan (ICML, 2022)

A Closer Look at Smoothness in Domain Adversarial Training. - Harsh Rangwani; Sumukh K. Aithal; Mayank Mishra; Arihant Jain; Venkatesh Babu Radhakrishnan (ICML, 2022)

Dense or Sparse: Crowd Counting with Binary Supervision. - Deepak Babu Sam; Jimmy Joseph; Abhinav Agarwalla; Venkatesh Babu Radhakrishnan (ICVGIP, 2022)

Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration. - Rishubh Parihar; Ankit Dhiman; Tejan Karmali; Venkatesh Babu R. (ACM Multimedia, 2022)

Efficient and Effective Augmentation Strategy for Adversarial Training. - Sravanti Addepalli; Samyak Jain; Venkatesh Babu R. (NeurIPS, 2022)

Subsidiary Prototype Alignment for Universal Domain Adaptation. - Jogendra Nath Kundu; Suvaansh Bhambri; Akshay R. Kulkarni; Hiran Sarkar; Varun Jampani; Venkatesh Babu R. (NeurIPS, 2022)

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. - Harsh Rangwani; Sumukh K. Aithal; Mayank Mishra; Venkatesh Babu R. (NeurIPS, 2022)

Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. - Harsh Rangwani; Shrinivas Ramasubramanian; Sho Takemori; Kato Takashi; Yuhei Umeda; Venkatesh Babu R. (NeurIPS, 2022)

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. - Tejan Karmali; Abhinav Atrishi; Sai Sree Harsha; Susmit Agrawal; Varun Jampani; R. Venkatesh Babu (WACV, 2022)

SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. - Susmit Agrawal; Prabhat Kumar; Siddharth Seth; Toufiq Parag; Maneesh Kumar Singh 001; R. Venkatesh Babu (CoRR, 2022)

Segmentation Guided Deep HDR Deghosting. - K. Ram Prabhakar; Susmit Agrawal; R. Venkatesh Babu (CoRR, 2022)

Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. - Sravanti Addepalli; Anshul Nasery; R. Venkatesh Babu; Praneeth Netrapalli; Prateek Jain 002 (CoRR, 2022)

Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. - Prasanna B; Sunandini Sanyal; R. Venkatesh Babu (CVPR Workshops, 2023)

RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases. - Abhipsa Basu; Sravanti Addepalli; R. Venkatesh Babu (CVPR, 2023)

DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. - Samyak Jain; Sravanti Addepalli; Pawan Kumar Sahu; Priyam Dey; R. Venkatesh Babu (CVPR, 2023)

Certified Adversarial Robustness Within Multiple Perturbation Bounds. - Soumalya Nandi; Sravanti Addepalli; Harsh Rangwani; R. Venkatesh Babu (CVPR Workshops, 2023)

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. - Harsh Rangwani; Lavish Bansal; Kartik Sharma; Tejan Karmali; Varun Jampani; R. Venkatesh Babu (CVPR, 2023)

Inspecting the Geographical Representativeness of Images from Text-to-Image Models. - Abhipsa Basu; R. Venkatesh Babu; Danish Pruthi (ICCV, 2023)

Strata-NeRF : Neural Radiance Fields for Stratified Scenes. - Ankit Dhiman; R. Srinath; Harsh Rangwani; Rishubh Parihar; Lokesh R. Boregowda; Srinath Sridhar 002; R. Venkatesh Babu (ICCV, 2023)

Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. - Sunandini Sanyal; Ashish Ramayee Asokan; Suvaansh Bhambri; Akshay R. Kulkarni; Jogendra Nath Kundu; R. Venkatesh Babu (ICCV, 2023)

Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. - Sravanti Addepalli; Anshul Nasery; Venkatesh Babu Radhakrishnan; Praneeth Netrapalli; Prateek Jain 002 (ICLR, 2023)

CapsFlow: Optical Flow Estimation with Capsule Networks. - Rahul Chand; Rajat Arora; K. Ram Prabhakar; R. Venkatesh Babu (CoRR, 2023)

We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space. - Rishubh Parihar; Raghav Magazine; Piyush Tiwari; R. Venkatesh Babu (CoRR, 2023)

Strata-NeRF : Neural Radiance Fields for Stratified Scenes. - Ankit Dhiman; Srinath R; Harsh Rangwani; Rishubh Parihar; Lokesh R. Boregowda; Srinath Sridhar 002; R. Venkatesh Babu (CoRR, 2023)

CoRF : Colorizing Radiance Fields using Knowledge Distillation. - Ankit Dhiman; R. Srinath; Srinjay Sarkar; Lokesh R. Boregowda; R. Venkatesh Babu (CoRR, 2023)

Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks. - Sravanti Addepalli; Ashish Ramayee Asokan; Lakshay Sharma; R. Venkatesh Babu (CoRR, 2023)

Exploring Attribute Variations in Style-based GANs using Diffusion Models. - Rishubh Parihar; Prasanna Balaji; Raghav Magazine; Sarthak Vora; Tejan Karmali; Varun Jampani; R. Venkatesh Babu (CoRR, 2023)

Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification. - Sravanti Addepalli; Ashish Ramayee Asokan; Lakshay Sharma; R. Venkatesh Babu (CVPR, 2024)

Balancing Act: Distribution-Guided Debiasing in Diffusion Models. - Rishubh Parihar; Abhijnya Bhat; Abhipsa Basu; Saswat Mallick; Jogendra Nath Kundu; R. Venkatesh Babu (CVPR, 2024)

DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. - Harsh Rangwani; Pradipto Mondal; Mayank Mishra; Ashish Ramayee Asokan; R. Venkatesh Babu (CVPR, 2024)

Text2Place: Affordance-Aware Text Guided Human Placement. - Rishubh Parihar; Harsh Gupta; Sachidanand VS; R. Venkatesh Babu (ECCV (3), 2024)

PreciseControl: Enhancing Text-to-Image Diffusion Models with Fine-Grained Attribute Control. - Rishubh Parihar; Sachidanand VS; Sabariswaran Mani; Tejan Karmali; R. Venkatesh Babu (ECCV (82), 2024)

Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. - Shrinivas Ramasubramanian; Harsh Rangwani; Sho Takemori; Kunal Samanta; Yuhei Umeda; Venkatesh Babu Radhakrishnan (ICLR, 2024)

Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks. - Abhipsa Basu; Saswat Subhajyoti Mallick; R. Venkatesh Babu (NeurIPS, 2024)

Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. - Sunandini Sanyal; Ashish Ramayee Asokan; Suvaansh Bhambri; Pradyumna YM; Akshay R. Kulkarni; Jogendra Nath Kundu; R. Venkatesh Babu (WACV, 2024)

Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. - M. Yashwanth; Gaurav Kumar Nayak; Harsh Rangwani; Arya Singh; R. Venkatesh Babu; Anirban Chakraborty 001 (WACV, 2024)

Crafting Parts for Expressive Object Composition. - Harsh Rangwani; Aishwarya Agarwal; Kuldeep Kulkarni; R. Venkatesh Babu; Srikrishna Karanam (CoRR, 2024)

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields. - Tao Lu; Ankit Dhiman; R. Srinath; Emre Arslan; Angela Xing; Yuanbo Xiangli; R. Venkatesh Babu; Srinath Sridhar 002 (CoRR, 2024)

ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations. - Sravanti Addepalli; Priyam Dey; Venkatesh Babu Radhakrishnan (Trans. Mach. Learn. Res., 2024)

Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections. - Ankit Dhiman; Manan Shah; Rishubh Parihar; Yash Bhalgat; Lokesh R. Boregowda; R. Venkatesh Babu (3DV, 2025)

MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World. - Ankit Dhiman; Manan Shah; R. Venkatesh Babu (CVPR, 2025)

Compass Control: Multi Object Orientation Control for Text-to-Image Generation. - Rishubh Parihar; Vaibhav Agrawal; Sachidanand VS; Venkatesh Babu Radhakrishnan (CVPR, 2025)

MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection. - Rishubh Parihar; Srinjay Sarkar; Sarthak Vora; Jogendra Nath Kundu; R. Venkatesh Babu (CVPR, 2025)

Composing Parts for Expressive Object Generation. - Harsh Rangwani; Aishwarya Agarwal; Kuldeep Kulkarni; R. Venkatesh Babu; Srikrishna Karanam (CVPR, 2025)

ProtoPatchNet: An Interpretable Patch-Based Prototypical Network. - Mohana Singh; Vivek B. S.; Jayavardhana Gubbi; R. Venkatesh Babu (CVPR Workshops, 2025)

ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillation. - Ankit Dhiman; R. Srinath; Srinjay Sarkar; Lokesh R. Boregowda; R. Venkatesh Babu (WACV, 2025)

Attribute Diffusion: Diffusion Driven Diverse Attribute Editing. - Rishubh Parihar; Prasanna Balaji; Raghav Magazine; Sarthak Vora; Varun Jampani; R. Venkatesh Babu (WACV, 2025)