Saket Anand

According to our database, Saket Anand authored at least 50 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters.

Depanshu Sani, Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal, Charu Chandra Devshali, Saket Anand, Gaurav Arora, Thiagarajan Jayaraman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection.

Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes.

Kshitiz, Sonu Shreshtha, Bikash Dutta, Muskan Dosi, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift.

Sharat Agarwal, Saket Anand, Chetan Arora

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Long-term Monitoring of Bird Flocks in the Wild.

Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Modeling Functional Similarity in Source Code With Graph-Based Siamese Networks.

Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare

IEEE Trans. Software Eng., 2022

High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production.

Depanshu Sani, Sandeep Mahato, Parichya Sirohi, Saket Anand, Gaurav Arora, Charu Chandra Devshali, Thiagarajan Jayaraman, Harsh Kumar Agarwal

CoRR, 2022

Crop Type Identification for Smallholding Farms: Analyzing Spatial, Temporal and Spectral Resolutions in Satellite Imagery.

Depanshu Sani, Sandeep Mahato, Parichya Sirohi, Saket Anand, Gaurav Arora, Charu Chandra Devshali, Thiagarajan Jayaraman

CoRR, 2022

Learning Estimates At The Edge Using Intermittent And Aged Measurement Updates.

Shivangi Agarwal, Sanjit K. Kaul, Saket Anand, P. B. Sujit

CoRR, 2022

REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions.

Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Intelligent Camera Selection Decisions for Target Tracking in a Camera Network.

Anil Sharma, Saket Anand, Sanjit K. Kaul

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning.

Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias.

Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Hierarchy Aware Features for Reducing Mistake Severity.

Ashima Garg, Depanshu Sani, Saket Anand

Proceedings of the Computer Vision, 2022

2021

Impact of Channel Variation on One-Class Learning for Spoof Detection.

Rohit Arora, Aanchan Mohan, Saket Anand

CoRR, 2021

2020

Symmetric $k$-Means for Deep Neural Network Compression and Hardware Acceleration on FPGAs.

Akshay Jain, Pulkit Goel, Shivam Aggarwal, Alexander Fell, Saket Anand

IEEE J. Sel. Top. Signal Process., 2020

Intelligent querying for target tracking in camera networks using deep Q-learning with n-step bootstrapping.

Anil Sharma, Saket Anand, Sanjit K. Kaul

Image Vis. Comput., 2020

Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions.

Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee

CoRR, 2020

GraCIAS: Grassmannian of Corrupted Images for Adversarial Security.

Ankita Shukla, Pavan K. Turaga, Saket Anand

CoRR, 2020

BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos.

Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Pseudo RGB-D for Self-improving Monocular SLAM and Depth Prediction.

Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker

Proceedings of the Computer Vision - ECCV 2020, 2020

DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors.

Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal, Saket Anand

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Contextual Diversity for Active Learning.

Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora

Proceedings of the Computer Vision - ECCV 2020, 2020

Semi-Supervised Clustering with Neural Networks.

Ankita Shukla, Gullal Singh Cheema, Saket Anand

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

Stratified Sampling Based Experience Replay for Efficient Camera Selection Decisions.

Anil Sharma, Mayank K. Pal, Saket Anand, Sanjit K. Kaul

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

2019

Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.

Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga

CoRR, 2019

Primate Face Identification in the Wild.

Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Hybrid Approach to Tiger Re-Identification.

Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.

Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Reinforcement Learning Based Querying in Camera Networks for Efficient Target Tracking.

Anil Sharma, Saket Anand, Sanjit K. Kaul

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018

Unique Identification of Macaques for Population Monitoring and Control.

Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala

CoRR, 2018

ClusterNet : Semi-Supervised Clustering using Neural Networks.

Ankita Shukla, Gullal Singh Cheema, Saket Anand

CoRR, 2018

DGSAC: Density Guided Sampling and Consensus.

Lokender Tiwari, Saket Anand

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving.

Mayank K. Pal, Rupali Bhati, Anil Sharma, Sanjit K. Kaul, Saket Anand, P. B. Sujit

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Geometry of Deep Generative Models for Disentangled Representations.

Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition.

Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Exploring Bias in Primate Face Detection and Recognition.

Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders.

Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Metric learning on biological sequence embeddings.

Dhananjay Kimothi, Ankita Shukla, Pravesh Biyani, Saket Anand, James M. Hogan

Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Automatic Detection and Recognition of Individuals in Patterned Species.

Gullal Singh Cheema, Saket Anand

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

A Parallel Architecture for High Frame Rate Stereo using Semi-Global Matching.

Akshay Jain, Alexander Fell, Saket Anand

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Stacked Robust Autoencoder for Classification.

Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Fast hypothesis filtering for multi-structure geometric model fitting.

Lokender Tiwari, Saket Anand

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Metric learning based automatic segmentation of patterned species.

Ankita Shukla, Saket Anand

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Robust Multi-Model Fitting Using Density and Preference Analysis.

Lokender Tiwari, Saket Anand, Sushil Mittal

Proceedings of the Computer Vision - ACCV 2016, 2016

2014

Semi-Supervised Kernel Mean Shift Clustering.

Saket Anand, Sushil Mittal, Oncel Tuzel, Peter Meer

IEEE Trans. Pattern Anal. Mach. Intell., 2014

2012

Generalized Projection-Based M-Estimator.

Sushil Mittal, Saket Anand, Peter Meer

IEEE Trans. Pattern Anal. Mach. Intell., 2012

2011

Generalized projection based M-estimator: Theory and applications.

Sushil Mittal, Saket Anand, Peter Meer

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2006

Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures.

Saket Anand, David Madigan, Richard J. Mammone, Saumitr Pathak, Fred S. Roberts

Proceedings of the Intelligence and Security Informatics, 2006

2005

A New Face Recognition Algorithm using Bijective Mappings.

Christine Podilchuk, Ankur Patel, Ashwath Harthattu, Saket Anand, Richard J. Mammone

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005