Vijay Chandrasekhar

According to our database1, Vijay Chandrasekhar authored at least 110 papers between 2006 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition.
CoRR, 2021

2020
Holistic Multi-Modal Memory Network for Movie Question Answering.
IEEE Trans. Image Process., 2020

Learning to Prune Deep Neural Networks via Reinforcement Learning.
CoRR, 2020

Classification Representations Can be Reused for Downstream Generations.
CoRR, 2020

A*3D Dataset: Towards Autonomous Driving in Challenging Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Empirical Analysis Of Overfitting And Mode Drop In Gan Training.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Codebook-Free Compact Descriptor for Scalable Visual Search.
IEEE Trans. Multim., 2019

Compact Descriptors for Video Analysis: The Emerging MPEG Standard.
IEEE Multim., 2019

Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions.
CoRR, 2019

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images.
CoRR, 2019

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks.
CoRR, 2019

Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN).
Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019

Towards Practical Unsupervised Anomaly Detection on Retinal Images.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks.
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

Semi-Supervised Audio Classification with Consistency-Based Regularization.
Proceedings of the Interspeech 2019, 2019

The Unusual Effectiveness of Averaging in GAN Training.
Proceedings of the 7th International Conference on Learning Representations, 2019

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile.
Proceedings of the 7th International Conference on Learning Representations, 2019

Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Dataflow-Based Joint Quantization for Deep Neural Networks.
Proceedings of the Data Compression Conference, 2019

MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

EAST-DNN: Expediting architectural SimulaTions using deep neural networks: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

2018
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs.
IACR Cryptol. ePrint Arch., 2018

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images.
CoRR, 2018

Graph Convolutional Neural Networks for Polymers Property Prediction.
CoRR, 2018

Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials.
CoRR, 2018

Manifold regularization with GANs for semi-supervised learning.
CoRR, 2018

Mirror descent in saddle-point problems: Going the extra (gradient) mile.
CoRR, 2018

Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing.
CoRR, 2018

Online Deep Learning: Growing RBM on the fly.
CoRR, 2018

Efficient GAN-Based Anomaly Detection.
CoRR, 2018

Deep Adaptive Temporal Pooling for Activity Recognition.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

DehazeGAN: When Image Dehazing Meets Differential Programming.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Semi-Supervised Learning With GANs: Revisiting Manifold Regularization.
Proceedings of the 6th International Conference on Learning Representations, 2018

Gated Square-Root Pooling for Image Instance Retrieval.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Adversarially Learned Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Hardware-Aware Softmax Approximation for Deep Neural Networks.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval.
IEEE Trans. Multim., 2017

A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation.
IEEE Trans. Cybern., 2017

Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors.
Signal Process. Image Commun., 2017

3DHoPD: A Fast Low-Dimensional 3-D Descriptor.
IEEE Robotics Autom. Lett., 2017

End-to-End Video Classification with Knowledge Graphs.
CoRR, 2017

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text.
CoRR, 2017

Pruning Convolutional Neural Networks for Image Instance Retrieval.
CoRR, 2017

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge.
CoRR, 2017

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Object Detection Meets Knowledge Graphs.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Region average pooling for context-aware object detection.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep regional feature pooling for video matching.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Compact Deep Invariant Descriptors for Video Retrieval.
Proceedings of the 2017 Data Compression Conference, 2017

Compression of Deep Neural Networks for Image Instance Retrieval.
Proceedings of the 2017 Data Compression Conference, 2017

VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization.
Proceedings of the Working Notes of CLEF 2017, 2017

Group Invariant Deep Representations for Image Instance Retrieval.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Overview of the MPEG-CDVS Standard.
IEEE Trans. Image Process., 2016

A practical guide to CNNs and Fisher Vectors for image instance retrieval.
Signal Process., 2016

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.
CoRR, 2016

Egocentric activity recognition with multimodal fisher vector.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing.
Proceedings of the 2016 Data Compression Conference, 2016

Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
DeepHash: Getting Regularization, Depth and Fine-Tuning Right.
CoRR, 2015

Multi-sensor Self-Quantification of Presentations.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Co-regularized deep representations for video summarization.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Whole space subclass discriminant analysis for face recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

ICDAR 2015 competition on Robust Reading.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Compact Global Descriptors for Visual Search.
Proceedings of the 2015 Data Compression Conference, 2015

Selective aggregated descriptors for robust mobile image retrieval.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014
Interframe Coding of Feature Descriptors for Mobile Augmented Reality.
IEEE Trans. Image Process., 2014

Recovering Social Interaction Spatial Structure from Multiple First-Person Views.
Proceedings of the 3rd International Workshop on Socially-Aware Multimedia, 2014

Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Efficient video search using image queries.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Feature Matching Performance of Compact Descriptors for Visual Search.
Proceedings of the Data Compression Conference, 2014

Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Activity Recognition in Egocentric Life-Logging Videos.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

A Wearable Face Recognition System on Google Glass for Assisting Social Interactions.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Fast Computation of Rotation-Invariant Image Features by an Approximate Radial Gradient Transform.
IEEE Trans. Image Process., 2013

Rotation-invariant fast features for large-scale recognition and real-time tracking.
Signal Process. Image Commun., 2013

Residual enhanced visual vector as a compact signature for mobile visual search.
Signal Process., 2013

Interframe Coding of Canonical patches for Low Bit-rate Mobile Augmented Reality.
Int. J. Semantic Comput., 2013

2012
Compressed Histogram of Gradients: A Low-Bitrate Descriptor.
Int. J. Comput. Vis., 2012

Interframe Coding of Canonical Patches for Mobile Augmented Reality.
Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012

Gradient preserving quantization.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Mobile Visual Search.
IEEE Signal Process. Mag., 2011

Mobile Visual Search: Architectures, Technologies, and the Emerging MPEG Standard.
IEEE Multim., 2011

The stanford mobile visual search data set.
Proceedings of the Second Annual ACM SIGMM Conference on Multimedia Systems, 2011

Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Compressing Feature Sets with Digital Search Trees.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Automatic Language Identification in music videos with low level audio and visual features.
Proceedings of the IEEE International Conference on Acoustics, 2011

Residual Enhanced Visual Vectors for on-device image matching.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Mobile product recognition.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Restoration of out-of-focus lecture video by automatic slide matching.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Fast geometric re-ranking for image-based retrieval.
Proceedings of the International Conference on Image Processing, 2010

Dynamic selection of a feature-rich query frame for mobile video retrieval.
Proceedings of the International Conference on Image Processing, 2010

Comparison of local feature descriptors for mobile visual search.
Proceedings of the International Conference on Image Processing, 2010

Inverted Index Compression for Scalable Image Matching.
Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010

Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Quantization schemes for low bitrate Compressed Histogram of Gradients descriptors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Location coding for mobile image retrieval.
Proceedings of the 5th International Conference on Mobile Multimedia Communications, 2009

Low-rate image retrieval with tree histogram coding.
Proceedings of the 5th International Conference on Mobile Multimedia Communications, 2009

Tree Histogram Coding for Mobile Image Matching.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

CHoG: Compressed histogram of gradients A low bit-rate feature descriptor.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Color restoration for objects of interest using robust image features.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

Outdoors augmented reality on mobile phone using loxel-based visual feature organization.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

2007
Experimental Analysis of Area Localization Scheme for Sensor Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors.
Proceedings of the Sixth IEEE/ACM International Symposium on Mixed and Augmented Reality, 2007

2006
Localization in underwater sensor networks: survey and challenges.
Proceedings of the First Workshop on Underwater Networks, WUWNET 2006, Los Angeles, CA, 2006

Selective Iterative Multilateration for Hop Count-Based Localization in Wireless Sensor Networks.
Proceedings of the 7th International Conference on Mobile Data Management (MDM 2006), 2006


  Loading...