A New Face Recognition Algorithm using Bijective Mappings. - Christine Podilchuk; Ankur Patel; Ashwath Harthattu; Saket Anand; Richard J. Mammone (CVPR Workshops, 2005)

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 (ISI, 2006)

Generalized projection based M-estimator: Theory and applications. - Sushil Mittal; Saket Anand; Peter Meer (CVPR, 2011)

Generalized Projection-Based M-Estimator. - Sushil Mittal; Saket Anand; Peter Meer (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Semi-Supervised Kernel Mean Shift Clustering. - Saket Anand; Sushil Mittal; Oncel Tuzel; Peter Meer (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Robust Multi-Model Fitting Using Density and Preference Analysis. - Lokender Tiwari; Saket Anand; Sushil Mittal (ACCV (4), 2016)

Metric learning based automatic segmentation of patterned species. - Ankita Shukla; Saket Anand (ICIP, 2016)

Fast hypothesis filtering for multi-structure geometric model fitting. - Lokender Tiwari; Saket Anand (ICIP, 2016)

Stacked Robust Autoencoder for Classification. - Janki Mehta; Kavya Gupta; Anupriya Gogna; Angshul Majumdar; Saket Anand (ICONIP (3), 2016)

A Parallel Architecture for High Frame Rate Stereo using Semi-Global Matching. - Akshay Jain 003; Alexander Fell; Saket Anand (BMVC, 2017)

Automatic Detection and Recognition of Individuals in Patterned Species. - Gullal Singh Cheema; Saket Anand (ECML/PKDD (3), 2017)

Metric learning on biological sequence embeddings. - Dhananjay Kimothi; Ankita Shukla; Pravesh Biyani; Saket Anand; James M. Hogan (SPAWC, 2017)

Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders. - Ananya Harsh Jha; Saket Anand; Maneesh Singh 001; V. S. R. Veeravasarapu (ECCV (3), 2018)

Exploring Bias in Primate Face Detection and Recognition. - Sanchit Sinha; Mohit Agarwal 007; Mayank Vatsa; Richa Singh 001; Saket Anand (ECCV Workshops (1), 2018)

Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. - Aditay Tripathi; Aanchan Mohan; Saket Anand; Maneesh Singh 001 (ICASSP, 2018)

Geometry of Deep Generative Models for Disentangled Representations. - Ankita Shukla; Shagun Uppal; Sarthak Bhagat; Saket Anand; Pavan K. Turaga (ICVGIP, 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 (ITSC, 2018)

DGSAC: Density Guided Sampling and Consensus. - Lokender Tiwari; Saket Anand (WACV, 2018)

ClusterNet : Semi-Supervised Clustering using Neural Networks. - Ankita Shukla; Gullal Singh Cheema; Saket Anand (CoRR, 2018)

Unique Identification of Macaques for Population Monitoring and Control. - Ankita Shukla; Gullal Singh Cheema; Saket Anand; Qamar Qureshi; Yadvendradev Jhala (CoRR, 2018)

Reinforcement Learning Based Querying in Camera Networks for Efficient Target Tracking. - Anil Sharma; Saket Anand; Sanjit K. Kaul (ICAPS, 2019)

PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. - Ankita Shukla; Sarthak Bhagat; Shagun Uppal; Saket Anand; Pavan K. Turaga (BMVC, 2019)

A Hybrid Approach to Tiger Re-Identification. - Ankita Shukla; Connor Anderson 001; Gullal Singh Cheema; Pei Guo; Suguru Onda; Divyam Anshumaan; Saket Anand; Ryan Farrell (ICCV Workshops, 2019)

Primate Face Identification in the Wild. - Ankita Shukla; Gullal Singh Cheema; Saket Anand; Qamar Qureshi; Yadvendradev Jhala (PRICAI (3), 2019)

Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. - Ankita Shukla; Sarthak Bhagat; Shagun Uppal; Saket Anand; Pavan K. Turaga (CoRR, 2019)

Stratified Sampling Based Experience Replay for Efficient Camera Selection Decisions. - Anil Sharma; Mayank K. Pal; Saket Anand; Sanjit K. Kaul (BigMM, 2020)

Semi-Supervised Clustering with Neural Networks. - Ankita Shukla; Gullal Singh Cheema; Saket Anand (BigMM, 2020)

Contextual Diversity for Active Learning. - Sharat Agarwal; Himanshu Arora; Saket Anand; Chetan Arora 001 (ECCV (16), 2020)

DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors. - Sarthak Bhagat; Vishaal Udandarao; Shagun Uppal; Saket Anand (ECCV Workshops (6), 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 (ECCV (11), 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 (WACV, 2020)

GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. - Ankita Shukla; Pavan K. Turaga; Saket Anand (CoRR, 2020)

Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions. - Lokender Tiwari; Anish Madan; Saket Anand; Subhashis Banerjee (CoRR, 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)

Symmetric $k$-Means for Deep Neural Network Compression and Hardware Acceleration on FPGAs. - Akshay Jain 003; Pulkit Goel; Shivam Aggarwal; Alexander Fell; Saket Anand (IEEE J. Sel. Top. Signal Process., 2020)

Impact of Channel Variation on One-Class Learning for Spoof Detection. - Rohit Arora; Aanchan Mohan; Saket Anand (CoRR, 2021)

Learning Hierarchy Aware Features for Reducing Mistake Severity. - Ashima Garg; Depanshu Sani; Saket Anand (ECCV (24), 2022)

Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias. - Sharat Agarwal; Sumanyu Muku; Saket Anand; Chetan Arora 001 (WACV, 2022)

HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. - Ashima Garg; Shaurya Bagga; Yashvardhan Singh; Saket Anand (WACV, 2022)

Intelligent Camera Selection Decisions for Target Tracking in a Camera Network. - Anil Sharma; Saket Anand; Sanjit K. Kaul (WACV, 2022)

REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. - Lokender Tiwari; Anish Madan; Saket Anand; Subhashis Banerjee (WACV, 2022)

Learning Estimates At The Edge Using Intermittent And Aged Measurement Updates. - Shivangi Agarwal; Sanjit K. Kaul; Saket Anand; P. B. Sujit (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)

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)

Modeling Functional Similarity in Source Code With Graph-Based Siamese Networks. - Nikita Mehrotra; Navdha Agarwal; Piyush Gupta; Saket Anand; David Lo 001; Rahul Purandare (IEEE Trans. Software Eng., 2022)

Long-term Monitoring of Bird Flocks in the Wild. - Kshitiz; Sonu Shreshtha; Ramy Mounir; Mayank Vatsa; Richa Singh 001; Saket Anand; Sudeep Sarkar; Sevaram Mali Parihar (IJCAI, 2023)

Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift. - Sharat Agarwal; Saket Anand; Chetan Arora 001 (WACV, 2023)

BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes. - Kshitiz; Sonu Shreshtha; Bikash Dutta; Muskan Dosi; Mayank Vatsa; Richa Singh 001; Saket Anand; Sudeep Sarkar; Sevaram Mali Parihar (AAAI, 2024)

Learning Geometry of Pose Image Manifolds in Latent Spaces Using Geometry-Preserving GANs. - Shenyuan Liang; Benjamin Beaudett; Pavan K. Turaga; Saket Anand; Anuj Srivastava (ICPR (27), 2024)

Sensor-Agnostic Graph-Aware Kalman Filter for Multi-Modal Multi-Object Tracking. - Depanshu Sani; Anirudh Iyer; Prakhar Rai; Saket Anand; Anuj Srivastava; Kaushik Kalyanaraman (ICPR (16), 2024)

Scalable and Sustainable Video Analytics on Edge using Sensor Clustering. - Shubham Chaudhary 006; Arani Bhattacharya; Saket Anand; Aruna Balasubramanian (MobiCom, 2024)

Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. - Akshit Jindal; Vikram Goyal; Saket Anand; Chetan Arora 001 (WACV, 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 (WACV, 2024)

Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving. - Depanshu Sani; Saket Anand (CoRR, 2024)

Learning and Evaluating Hierarchical Feature Representations. - Depanshu Sani; Saket Anand (CoRR, 2025)

Learning To Communicate Over An Unknown Shared Network. - Shivangi Agarwal; Adi Asija; Sanjit K. Kaul; Arani Bhattacharya; Saket Anand (CoRR, 2025)