Venkatesh Babu Radhakrishnan

Orcid: 0000-0002-1926-1804

According to our database1, Venkatesh Babu Radhakrishnan authored at least 237 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives.
CoRR, 2024

Balancing Act: Distribution-Guided Debiasing in Diffusion Models.
CoRR, 2024

Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Exploring Attribute Variations in Style-based GANs using Diffusion Models.
CoRR, 2023

Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks.
CoRR, 2023

CoRF : Colorizing Radiance Fields using Knowledge Distillation.
CoRR, 2023

Strata-NeRF : Neural Radiance Fields for Stratified Scenes.
CoRR, 2023

We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space.
CoRR, 2023

CapsFlow: Optical Flow Estimation with Capsule Networks.
CoRR, 2023

Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Strata-NeRF : Neural Radiance Fields for Stratified Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Inspecting the Geographical Representativeness of Images from Text-to-Image Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Certified Adversarial Robustness Within Multiple Perturbation Bounds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks.
CoRR, 2022

Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration.
CoRR, 2022

Segmentation Guided Deep HDR Deghosting.
CoRR, 2022

SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization.
CoRR, 2022

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Subsidiary Prototype Alignment for Universal Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient and Effective Augmentation Strategy for Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dense or Sparse: Crowd Counting with Binary Supervision.
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022

A Closer Look at Smoothness in Domain Adversarial Training.
Proceedings of the International Conference on Machine Learning, 2022

Balancing Discriminability and Transferability for Source-Free Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2022

Completely Self-supervised Crowd Counting via Distribution Matching.
Proceedings of the Computer Vision - ECCV 2022, 2022

Improving GANs for Long-Tailed Data Through Group Spectral Regularization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

Scaling Adversarial Training to Large Perturbation Bounds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Efficient and Effective Self-supervised Learning of Visual Representations.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Data-Free Model Stealing in a Hard Label Setting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting.
IEEE Trans. Computational Imaging, 2021

Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Class balancing GAN with a classifier in the loop.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Towards Efficient and Effective Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Deep Implicit Surface Point Prediction Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

S<sup>3</sup>VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Few-Shot Domain Adaptation for Low Light RAW Image Enhancement.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification.
IEEE Trans. Inf. Forensics Secur., 2020

Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

PerSeg : segmenting salient objects from bag of single image perturbations.
Multim. Tools Appl., 2020

Regularizers for Single-step Adversarial Training.
CoRR, 2020

Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Text-based Person Search via Attribute-aided Matching.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Your Classifier can Secretly Suffice Multi-Source Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks.
Proceedings of the IEEE International Conference on Image Processing, 2020

Learning to Count in the Crowd from Limited Labeled Data.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Practical and Efficient High-Resolution HDR Deghosting with CNN.
Proceedings of the Computer Vision - ECCV 2020, 2020

Class-Incremental Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Appearance Consensus Driven Self-supervised Human Mesh Recovery.
Proceedings of the Computer Vision - ECCV 2020, 2020

Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Single-Step Adversarial Training With Dropout Scheduling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Fooling Beyond "Flipping the Label".
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Universal Source-Free Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Inheritable Models for Open-Set Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions.
IEEE Trans. Image Process., 2019

Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Zero-Shot Knowledge Distillation in Deep Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP).
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

FDA: Feature Disruptive Attack.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion.
Proceedings of the IEEE International Conference on Computational Photography, 2019

All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification.
Proceedings of the IEEE International Conference on Acoustics, 2019

Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Enhancing Salient Object Segmentation Through Attention.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Almost Unsupervised Learning for Dense Crowd Counting.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A real-time implementation of SIFT using GPU.
J. Real Time Image Process., 2018

Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN.
CoRR, 2018

Deep Sequential Multi-camera Feature Fusion for Person Re-identification.
CoRR, 2018

Estimating Confidence for Deep Neural Networks through Density modeling.
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

Learning Representations with Strong Supervision for Image Search.
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

iSPA-Net: Iterative Semantic Pose Alignment Network.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Gray-Box Adversarial Training.
Proceedings of the Computer Vision - ECCV 2018, 2018

Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions.
Proceedings of the Computer Vision - ECCV 2018, 2018

3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

NAG: Network for Adversary Generation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image.
Proceedings of the British Machine Vision Conference 2018, 2018

Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Top-Down Feedback for Crowd Counting Convolutional Neural Network.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Object Category Understanding via Eye Fixations on Freehand Sketches.
IEEE Trans. Image Process., 2017

DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations.
IEEE Trans. Image Process., 2017

Evaluating Multiexposure Fusion Using Image Information.
IEEE Signal Process. Lett., 2017

Anomaly detection via short local trajectories.
Neurocomputing, 2017

Confidence estimation in Deep Neural networks via density modelling.
CoRR, 2017

Deep image representations using caption generators.
CoRR, 2017

Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction.
Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

Deep Neural Network for Foreground Object Segmentation: An Unsupervised Approach.
Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

SketchParse: Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Training Sparse Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Switching Convolutional Neural Network for Crowd Counting.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Image Denoising via CNNs: An Adversarial Approach.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Fast Feature Fool: A data independent approach to universal adversarial perturbations.
Proceedings of the British Machine Vision Conference 2017, 2017

An Introduction to Deep Convolutional Neural Nets for Computer Vision.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Sparse representation-based human detection: a scale-embedded dictionary approach.
Signal Image Video Process., 2016

A survey on compressed domain video analysis techniques.
Multim. Tools Appl., 2016

Generalized Dropout.
CoRR, 2016

Enabling My Robot To Play Pictionary: Recurrent Neural Networks For Sketch Recognition.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

SwiDeN: Convolutional Neural Networks For Depiction Invariant Object Recognition.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Analyzing Structural Characteristics of Object Category Representations From Their Semantic-part Distributions.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

CrowdNet: A Deep Convolutional Network for Dense Crowd Counting.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

TraCount: a deep convolutional neural network for highly overlapping vehicle counting.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Analyzing object categories via novel category ranking measures defined on visual feature embeddings.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Ghosting free HDR for dynamic scenes via shift-maps.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Towards semantic visual representation: augmenting image representation with natural language descriptors.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Deep image inpainting with region prediction at hierarchical scales.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Compensating for large in-plane rotations in natural images.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Object saliency using a background prior.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Ghosting-free multi-exposure image fusion in gradient domain.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Neural Network Architectures using Backpropagation.
Proceedings of the British Machine Vision Conference 2016, 2016

'Part'ly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Compressed domain human action recognition in H.264/AVC video streams.
Multim. Tools Appl., 2015

Synthetic image super resolution using FeatureMatch.
Multim. Tools Appl., 2015

Anomaly detection in compressed H.264/AVC video.
Multim. Tools Appl., 2015

Robust tracking with interest points: A sparse representation approach.
Image Vis. Comput., 2015

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision.
Frontiers Robotics AI, 2015

Learning the Architecture of Deep Neural Networks.
CoRR, 2015

Freehand Sketch Recognition Using Deep Features.
CoRR, 2015

Category-Epitomes : Discriminatively Minimalist Representations for Object Categories.
CoRR, 2015

Expresso : A user-friendly GUI for designing, training and using Convolutional Neural Networks.
CoRR, 2015

Human action recognition in H.264/AVC compressed domain using meta-cognitive radial basis function network.
Appl. Soft Comput., 2015

Eye of the Dragon: Exploring Discriminatively Minimalist Sketch-based Abstractions for Object Categories.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Salient object detection via objectness measure.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Crowd flow segmentation in compressed domain using CRF.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Attribute-Graph: A Graph Based Approach to Image Ranking.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Object level deep feature pooling for compact image representation.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Dominant flow extraction and analysis in traffic surveillance videos.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Data-free Parameter Pruning for Deep Neural Networks.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
FeatureMatch: A General ANNF Estimation Technique and its Applications.
IEEE Trans. Image Process., 2014

Approximate Nearest Neighbour Field based Optic Disk Detection.
Comput. Medical Imaging Graph., 2014

Action recognition from motion capture data using Meta-Cognitive RBF Network classifier.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

An optical flow feature and McFIS based approach for 3-dimensional human action recognition.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

Human action recognition in compressed domain using PBL-McRBFN approach.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

Super Pixel Clustering via Kernel Density Estimation.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Patch Flow based Visual Object Tracking.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

3D Action Recognition by Learning Sequences of Poses.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Short Local Trajectory based moving anomaly detection.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Secret Image Sharing using Fractal Codes.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Super-pixel based crowd flow segmentation in H.264 compressed videos.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Sparse representation based anomaly detection with enhanced local dictionaries.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Optical flow estimation using Approximate Nearest Neighbor Field fusion.
Proceedings of the IEEE International Conference on Acoustics, 2014

Visual object tracking via random ferns based classification.
Proceedings of the IEEE International Conference on Acoustics, 2014

SeamSeg: Video Object Segmentation Using Patch Seams.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Subject independent human action recognition using spatio-depth information and meta-cognitive RBF network.
Eng. Appl. Artif. Intell., 2013

Rapid human action recognition in H.264/AVC compressed domain for video surveillance.
Proceedings of the 2013 Visual Communications and Image Processing, 2013

Real-time human action recognition from motion capture data.
Proceedings of the Fourth National Conference on Computer Vision, 2013

Fast moving-object detection in H.264/AVC compressed domain for video surveillance.
Proceedings of the Fourth National Conference on Computer Vision, 2013

Spatio-temporal feature based VLAD for efficient video retrieval.
Proceedings of the Fourth National Conference on Computer Vision, 2013

OD-Match: PatchMatch based Optic Disk detection.
Proceedings of the Fourth National Conference on Computer Vision, 2013

Real time anomaly detection in H.264 compressed videos.
Proceedings of the Fourth National Conference on Computer Vision, 2013

Speeding up SIFT using GPU.
Proceedings of the Fourth National Conference on Computer Vision, 2013

Interest points based object tracking via sparse representation.
Proceedings of the IEEE International Conference on Image Processing, 2013

Real-time robust tracking via sparse representation: A mode-seeking approach.
Proceedings of the IEEE International Conference on Image Processing, 2013

Context-aware real-time tracking in sparse representation framework.
Proceedings of the IEEE International Conference on Image Processing, 2013

A near optimal projection for Sparse representation based classification.
Proceedings of the IEEE International Conference on Acoustics, 2013

H.264 compressed video classification using Histogram of Oriented Motion Vectors (HOMV).
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Human action recognition using a fast learning fully complex-valued classifier.
Neurocomputing, 2012

Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Super resolution via sparse representation in <i>l</i><sub>1</sub> framework.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Local appearance based robust tracking via sparse representation.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Feature match: an efficient low dimensional PatchMatch technique.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Human gait recognition using depth camera: a covariance based approach.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Optic disk localization using L1 minimization.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Fragment-based real-time object tracking: A sparse representation approach.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Human detection using sparse representation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Fully complex-valued ELM classifiers for human action recognition.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Fragmented Particles-Based Robust Object Tracking with Feature Fusion.
Int. J. Image Graph., 2010

Online adaptive radial basis function networks for robust object tracking.
Comput. Vis. Image Underst., 2010

2009
No-reference image quality assessment using modified extreme learning machine classifier.
Appl. Soft Comput., 2009

2008
Evaluation and monitoring of video quality for UMA enabled video streaming systems.
Multim. Tools Appl., 2008

Robust object tracking with background-weighted local kernels.
Comput. Vis. Image Underst., 2008

2007
No-reference JPEG-image quality assessment using GAP-RBF.
Signal Process., 2007

Compressed domain video retrieval using object and global motion descriptors.
Multim. Tools Appl., 2007

Robust tracking with motion estimation and local Kernel-based color modeling.
Image Vis. Comput., 2007

Robust Object Tracking using Local Kernels and Background Information.
Proceedings of the International Conference on Image Processing, 2007

Feature Fusion for Robust Object Tracking Using Fragmented Particles.
Proceedings of the 2007 First ACM/IEEE International Conference on Distributed Smart Cameras, 2007

Robust Object Tracking with Radial Basis Function Networks.
Proceedings of the IEEE International Conference on Acoustics, 2007

Kernel-Based Spatial-Color Modeling for Fast Moving Object Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
GAP-RBF Based NR Image Quality Measurement for JPEG Coded Images.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

Image Quality Measurement Using Sparse Extreme Learning Machine Classifier.
Proceedings of the Ninth International Conference on Control, 2006

Object-based Surveillance Video Compression using Foreground Motion Compensation.
Proceedings of the Ninth International Conference on Control, 2006

Kernel-Based Robust Tracking for Objects Undergoing Occlusion.
Proceedings of the Computer Vision, 2006

2005
Robust tracking with motion estimation and kernel-based color modelling.
Proceedings of the 2005 International Conference on Image Processing, 2005

An HVS-based no-reference perceptual quality assessment of JPEG coded images using neural networks.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Video object segmentation: a compressed domain approach.
IEEE Trans. Circuits Syst. Video Technol., 2004

Recognition of human actions using motion history information extracted from the compressed video.
Image Vis. Comput., 2004

Sprite Generation From Mpeg Video Using Motion Information.
Int. J. Image Graph., 2004

A Perceptual No-Reference Blockiness Metric for JPEG Images.
Proceedings of the ICVGIP 2004, 2004

A QOS-DRIVEN UMA viewer in MPEG-21 framework.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Compressed domain human motion recognition using motion history information.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Compressed domain action classification using HMM.
Pattern Recognit. Lett., 2002

Content-based video retrieval using motion descriptors extracted from compressed domain.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Background Sprite Generation Using MPEG Motion Vectors.
Proceedings of the ICVGIP 2002, 2002

Compressed domain motion segmentation for video object extraction.
Proceedings of the IEEE International Conference on Acoustics, 2002


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