Saket Anand - RankMe

77 papers A* 6A 11B 2C 1Misc 1Journal 37Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling. AAAI Depanshu Sani, Mehar Khurana, Saket Anand
2025	J	`jnl`	Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling. CoRR Depanshu Sani, Mehar Khurana, Saket Anand
2025	J	`jnl`	Learning To Communicate Over An Unknown Shared Network. CoRR Shivangi Agarwal, Adi Asija, Sanjit K. Kaul, Arani Bhattacharya, Saket Anand
2025	J	`jnl`	Learning and Evaluating Hierarchical Feature Representations. CoRR Depanshu Sani, Saket Anand
2025	J	`jnl`	Reliable Active Learning from Unreliable Labels via Neural Collapse Geometry. CoRR Atharv Goel, Sharat Agarwal, Saket Anand, Chetan Arora
2025	J	`jnl`	Sim-to-Real Transfer for Estimation over Wireless Networks. ACM Trans. Cyber Phys. Syst. Shivangi Agarwal, Adi Asija, Sanjit K. Kaul, Saket Anand
2024	A	`conf`	Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. WACV Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora
2024	A*	`conf`	BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes. AAAI Kshitiz, Sonu Shreshtha, Bikash Dutta, Muskan Dosi, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar
2024	J	`jnl`	Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving. CoRR Depanshu Sani, Saket Anand
2024	—	`conf`	Learning Geometry of Pose Image Manifolds in Latent Spaces Using Geometry-Preserving GANs. ICPR (27) Shenyuan Liang, Benjamin Beaudett, Pavan K. Turaga, Saket Anand, Anuj Srivastava
2024	A	`conf`	SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters. WACV Depanshu Sani, Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal, Charu Chandra Devshali, Saket Anand, Gaurav Arora, Thiagarajan Jayaraman
2024	A*	`conf`	Scalable and Sustainable Video Analytics on Edge using Sensor Clustering. MobiCom Shubham Chaudhary, Arani Bhattacharya, Saket Anand, Aruna Balasubramanian
2024	—	`conf`	Sensor-Agnostic Graph-Aware Kalman Filter for Multi-Modal Multi-Object Tracking. ICPR (16) Depanshu Sani, Anirudh Iyer, Prakhar Rai, Saket Anand, Anuj Srivastava, Kaushik Kalyanaraman
2023	J	`jnl`	Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. CoRR Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora
2023	A*	`conf`	Long-term Monitoring of Bird Flocks in the Wild. IJCAI Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar
2023	A	`conf`	Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift. WACV Sharat Agarwal, Saket Anand, Chetan Arora
2023	J	`jnl`	SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters. CoRR Depanshu Sani, Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal, Charu Chandra Devshali, Saket Anand, Gaurav Arora, Thiagarajan Jayaraman
2022	J	`jnl`	Crop Type Identification for Smallholding Farms: Analyzing Spatial, Temporal and Spectral Resolutions in Satellite Imagery. CoRR Depanshu Sani, Sandeep Mahato, Parichya Sirohi, Saket Anand, Gaurav Arora, Charu Chandra Devshali, Thiagarajan Jayaraman
2022	A	`conf`	Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias. WACV Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora
2022	A	`conf`	HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. WACV Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand
2022	J	`jnl`	High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production. CoRR Depanshu Sani, Sandeep Mahato, Parichya Sirohi, Saket Anand, Gaurav Arora, Charu Chandra Devshali, Thiagarajan Jayaraman, Harsh Kumar Agarwal
2022	A	`conf`	Intelligent Camera Selection Decisions for Target Tracking in a Camera Network. WACV Anil Sharma, Saket Anand, Sanjit K. Kaul
2022	J	`jnl`	Learning Estimates At The Edge Using Intermittent And Aged Measurement Updates. CoRR Shivangi Agarwal, Sanjit K. Kaul, Saket Anand, P. B. Sujit
2022	—	`conf`	Learning Hierarchy Aware Features for Reducing Mistake Severity. ECCV (24) Ashima Garg, Depanshu Sani, Saket Anand
2022	J	`jnl`	Learning Hierarchy Aware Features for Reducing Mistake Severity. CoRR Ashima Garg, Depanshu Sani, Saket Anand
2022	J	`jnl`	Modeling Functional Similarity in Source Code With Graph-Based Siamese Networks. IEEE Trans. Software Eng. Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare
2022	A	`conf`	REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. WACV Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
2022	J	`jnl`	Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift. CoRR Sharat Agarwal, Saket Anand, Chetan Arora
2021	J	`jnl`	Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias. CoRR Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora
2021	J	`jnl`	HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. CoRR Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand
2021	J	`jnl`	Impact of Channel Variation on One-Class Learning for Spoof Detection. CoRR Rohit Arora, Aanchan Mohan, Saket Anand
2020	J	`jnl`	Automatic Detection and Recognition of Individuals in Patterned Species. CoRR Gullal Singh Cheema, Saket Anand
2020	A	`conf`	BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. WACV Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe
2020	—	`conf`	Contextual Diversity for Active Learning. ECCV (16) Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora
2020	J	`jnl`	Contextual Diversity for Active Learning. CoRR Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora
2020	J	`jnl`	DGSAC: Density Guided Sampling and Consensus. CoRR Lokender Tiwari, Saket Anand
2020	—	`conf`	DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors. ECCV Workshops (6) Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal, Saket Anand
2020	J	`jnl`	Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions. CoRR Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
2020	J	`jnl`	GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. CoRR Ankita Shukla, Pavan K. Turaga, Saket Anand
2020	J	`jnl`	Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping. CoRR Anil Sharma, Saket Anand, Sanjit K. Kaul
2020	J	`jnl`	Intelligent querying for target tracking in camera networks using deep Q-learning with n-step bootstrapping. Image Vis. Comput. Anil Sharma, Saket Anand, Sanjit K. Kaul
2020	J	`jnl`	Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks. CoRR Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare
2020	J	`jnl`	Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction. CoRR Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker
2020	—	`conf`	Pseudo RGB-D for Self-improving Monocular SLAM and Depth Prediction. ECCV (11) Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker
2020	—	`conf`	Semi-Supervised Clustering with Neural Networks. BigMM Ankita Shukla, Gullal Singh Cheema, Saket Anand
2020	—	`conf`	Stratified Sampling Based Experience Replay for Efficient Camera Selection Decisions. BigMM Anil Sharma, Mayank K. Pal, Saket Anand, Sanjit K. Kaul
2020	J	`jnl`	Symmetric $k$-Means for Deep Neural Network Compression and Hardware Acceleration on FPGAs. IEEE J. Sel. Top. Signal Process. Akshay Jain, Pulkit Goel, Shivam Aggarwal, Alexander Fell, Saket Anand
2019	—	`conf`	A Hybrid Approach to Tiger Re-Identification. ICCV Workshops Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell
2019	J	`jnl`	Geometry of Deep Generative Models for Disentangled Representations. CoRR Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
2019	A	`conf`	PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
2019	—	`conf`	Primate Face Identification in the Wild. PRICAI (3) Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
2019	J	`jnl`	Primate Face Identification in the Wild. CoRR Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
2019	J	`jnl`	Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
2019	A*	`conf`	Reinforcement Learning Based Querying in Camera Networks for Efficient Target Tracking. ICAPS Anil Sharma, Saket Anand, Sanjit K. Kaul
2018	—	`conf`	A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving. ITSC Mayank K. Pal, Rupali Bhati, Anil Sharma, Sanjit K. Kaul, Saket Anand, P. B. Sujit
2018	J	`jnl`	A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving. CoRR Mayank K. Pal, Rupali Bhati, Anil Sharma, Sanjit K. Kaul, Saket Anand, P. B. Sujit
2018	Misc	`conf`	Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. ICASSP Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh
2018	J	`jnl`	Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. CoRR Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh
2018	J	`jnl`	ClusterNet : Semi-Supervised Clustering using Neural Networks. CoRR Ankita Shukla, Gullal Singh Cheema, Saket Anand
2018	A	`conf`	DGSAC: Density Guided Sampling and Consensus. WACV Lokender Tiwari, Saket Anand
2018	J	`jnl`	Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders. CoRR Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu
2018	—	`conf`	Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders. ECCV (3) Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu
2018	—	`conf`	Exploring Bias in Primate Face Detection and Recognition. ECCV Workshops (1) Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand
2018	—	`conf`	Geometry of Deep Generative Models for Disentangled Representations. ICVGIP Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
2018	J	`jnl`	Unique Identification of Macaques for Population Monitoring and Control. CoRR Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
2017	A	`conf`	A Parallel Architecture for High Frame Rate Stereo using Semi-Global Matching. BMVC Akshay Jain, Alexander Fell, Saket Anand
2017	—	`conf`	Automatic Detection and Recognition of Individuals in Patterned Species. ECML/PKDD (3) Gullal Singh Cheema, Saket Anand
2017	—	`conf`	Metric learning on biological sequence embeddings. SPAWC Dhananjay Kimothi, Ankita Shukla, Pravesh Biyani, Saket Anand, James M. Hogan
2016	B	`conf`	Fast hypothesis filtering for multi-structure geometric model fitting. ICIP Lokender Tiwari, Saket Anand
2016	B	`conf`	Metric learning based automatic segmentation of patterned species. ICIP Ankita Shukla, Saket Anand
2016	—	`conf`	Robust Multi-Model Fitting Using Density and Preference Analysis. ACCV (4) Lokender Tiwari, Saket Anand, Sushil Mittal
2016	—	`conf`	Stacked Robust Autoencoder for Classification. ICONIP (3) Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand
2014	J	`jnl`	Semi-Supervised Kernel Mean Shift Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Saket Anand, Sushil Mittal, Oncel Tuzel, Peter Meer
2012	J	`jnl`	Generalized Projection-Based M-Estimator. IEEE Trans. Pattern Anal. Mach. Intell. Sushil Mittal, Saket Anand, Peter Meer
2011	A*	`conf`	Generalized projection based M-estimator: Theory and applications. CVPR Sushil Mittal, Saket Anand, Peter Meer
2006	C	`conf`	Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures. ISI Saket Anand, David Madigan, Richard J. Mammone, Saumitr Pathak, Fred S. Roberts
2005	—	`conf`	A New Face Recognition Algorithm using Bijective Mappings. CVPR Workshops Christine Podilchuk, Ankur Patel, Ashwath Harthattu, Saket Anand, Richard J. Mammone