Saket Anand

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 62

Top Topics

Semantic Segmentation

Face Identification

Metric Learning

Top Venues

Publications

Depanshu Sani, Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal, Charu Chandra Devshali, Saket Anand, Gaurav Arora, Thiagarajan Jayaraman
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters. WACV (2024)
Kshitiz, Sonu Shreshtha, Bikash Dutta, Muskan Dosi, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes. AAAI (2024)
Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. WACV (2024)
Depanshu Sani, Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal, Charu Chandra Devshali, Saket Anand, Gaurav Arora, Thiagarajan Jayaraman
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters. CoRR (2023)
Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar
Long-term Monitoring of Bird Flocks in the Wild. IJCAI (2023)
Sharat Agarwal, Saket Anand, Chetan Arora
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift. WACV (2023)
Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. CoRR (2023)
Ashima Garg, Depanshu Sani, Saket Anand
Learning Hierarchy Aware Features for Reducing Mistake Severity. CoRR (2022)
Anil Sharma, Saket Anand, Sanjit K. Kaul
Intelligent Camera Selection Decisions for Target Tracking in a Camera Network. WACV (2022)
Ashima Garg, Depanshu Sani, Saket Anand
Learning Hierarchy Aware Features for Reducing Mistake Severity. ECCV (24) (2022)
Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare
Modeling Functional Similarity in Source Code With Graph-Based Siamese Networks. IEEE Trans. Software Eng. 48 (10) (2022)
Sharat Agarwal, Saket Anand, Chetan Arora
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift. CoRR (2022)
Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. WACV (2022)
Depanshu Sani, Sandeep Mahato, Parichya Sirohi, Saket Anand, Gaurav Arora, Charu Chandra Devshali, Thiagarajan Jayaraman
Crop Type Identification for Smallholding Farms: Analyzing Spatial, Temporal and Spectral Resolutions in Satellite Imagery. CoRR (2022)
Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand
HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. WACV (2022)
Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias. WACV (2022)
Depanshu Sani, Sandeep Mahato, Parichya Sirohi, Saket Anand, Gaurav Arora, Charu Chandra Devshali, Thiagarajan Jayaraman, Harsh Kumar Agarwal
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production. CoRR (2022)
Shivangi Agarwal, Sanjit K. Kaul, Saket Anand, P. B. Sujit
Learning Estimates At The Edge Using Intermittent And Aged Measurement Updates. CoRR (2022)
Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. CoRR (2021)
Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias. CoRR (2021)
Rohit Arora, Aanchan Mohan, Saket Anand
Impact of Channel Variation on One-Class Learning for Spoof Detection. CoRR (2021)
Gullal Singh Cheema, Saket Anand
Automatic Detection and Recognition of Individuals in Patterned Species. CoRR (2020)
Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare
Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks. CoRR (2020)
Lokender Tiwari, Saket Anand
DGSAC: Density Guided Sampling and Consensus. CoRR (2020)
Ankita Shukla, Gullal Singh Cheema, Saket Anand
Semi-Supervised Clustering with Neural Networks. BigMM (2020)
Ankita Shukla, Pavan K. Turaga, Saket Anand
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. CoRR (2020)
Anil Sharma, Saket Anand, Sanjit K. Kaul
Intelligent querying for target tracking in camera networks using deep Q-learning with n-step bootstrapping. Image Vis. Comput. 103 (2020)
Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. WACV (2020)
Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora
Contextual Diversity for Active Learning. ECCV (16) (2020)
Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction. CoRR (2020)
Anil Sharma, Mayank K. Pal, Saket Anand, Sanjit K. Kaul
Stratified Sampling Based Experience Replay for Efficient Camera Selection Decisions. BigMM (2020)
Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker
Pseudo RGB-D for Self-improving Monocular SLAM and Depth Prediction. ECCV (11) (2020)
Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions. CoRR (2020)
Anil Sharma, Saket Anand, Sanjit K. Kaul
Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping. CoRR (2020)
Akshay Jain, Pulkit Goel, Shivam Aggarwal, Alexander Fell, Saket Anand
Symmetric $k$-Means for Deep Neural Network Compression and Hardware Acceleration on FPGAs. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora
Contextual Diversity for Active Learning. CoRR (2020)
Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal, Saket Anand
DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors. ECCV Workshops (6) (2020)
Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
Primate Face Identification in the Wild. CoRR (2019)
Anil Sharma, Saket Anand, Sanjit K. Kaul
Reinforcement Learning Based Querying in Camera Networks for Efficient Target Tracking. ICAPS (2019)
Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Gao, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell
A Hybrid Approach to Tiger Re-Identification. ICCV Workshops (2019)
Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
Geometry of Deep Generative Models for Disentangled Representations. CoRR (2019)
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR (2019)
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC (2019)
Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
Primate Face Identification in the Wild. PRICAI (3) (2019)
Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
Unique Identification of Macaques for Population Monitoring and Control. CoRR (2018)
Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand
Exploring Bias in Primate Face Detection and Recognition. ECCV Workshops (1) (2018)
Mayank K. Pal, Rupali Bhati, Anil Sharma, Sanjit K. Kaul, Saket Anand, P. B. Sujit
A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving. CoRR (2018)
Mayank K. Pal, Rupali Bhati, Anil Sharma, Sanjit K. Kaul, Saket Anand, P. B. Sujit
A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving. ITSC (2018)
Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. CoRR (2018)
Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. ICASSP (2018)
Lokender Tiwari, Saket Anand
DGSAC: Density Guided Sampling and Consensus. WACV (2018)
Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders. ECCV (3) (2018)
Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders. CoRR (2018)
Ankita Shukla, Gullal Singh Cheema, Saket Anand
ClusterNet : Semi-Supervised Clustering using Neural Networks. CoRR (2018)
Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
Geometry of Deep Generative Models for Disentangled Representations. ICVGIP (2018)
Dhananjay Kimothi, Ankita Shukla, Pravesh Biyani, Saket Anand, James M. Hogan
Metric learning on biological sequence embeddings. SPAWC (2017)
Gullal Singh Cheema, Saket Anand
Automatic Detection and Recognition of Individuals in Patterned Species. ECML/PKDD (3) (2017)
Akshay Jain, Alexander Fell, Saket Anand
A Parallel Architecture for High Frame Rate Stereo using Semi-Global Matching. BMVC (2017)
Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand
Stacked Robust Autoencoder for Classification. ICONIP (3) (2016)
Lokender Tiwari, Saket Anand, Sushil Mittal
Robust Multi-Model Fitting Using Density and Preference Analysis. ACCV (4) (2016)
Lokender Tiwari, Saket Anand
Fast hypothesis filtering for multi-structure geometric model fitting. ICIP (2016)
Ankita Shukla, Saket Anand
Metric learning based automatic segmentation of patterned species. ICIP (2016)
Saket Anand, Sushil Mittal, Oncel Tuzel, Peter Meer
Semi-Supervised Kernel Mean Shift Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 36 (6) (2014)
Sushil Mittal, Saket Anand, Peter Meer
Generalized Projection-Based M-Estimator. IEEE Trans. Pattern Anal. Mach. Intell. 34 (12) (2012)
Sushil Mittal, Saket Anand, Peter Meer
Generalized projection based M-estimator: Theory and applications. CVPR (2011)
Saket Anand, David Madigan, Richard J. Mammone, Saumitr Pathak, Fred S. Roberts
Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures. ISI (2006)
Christine Podilchuk, Ankur Patel, Ashwath Harthattu, Saket Anand, Richard J. Mammone
A New Face Recognition Algorithm using Bijective Mappings. CVPR Workshops (2005)