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2020 – today
- 2024
[c36]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: 21879-21887- [c35]Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora:
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. WACV 2024: 3811-3820 - [c34]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: 5983-5992 - 2023
- [c33]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: 6344-6352 - [c32]Sharat Agarwal, Saket Anand, Chetan Arora:
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift. WACV 2023: 5893-5902 - [i26]Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora:
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. CoRR abs/2311.04588 (2023) - [i25]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 abs/2312.00069 (2023) - 2022
- [j5]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): 3771-3789 (2022) - [c31]Ashima Garg, Depanshu Sani, Saket Anand:
Learning Hierarchy Aware Features for Reducing Mistake Severity. ECCV (24) 2022: 252-267 - [c30]Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand:
HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. WACV 2022: 2061-2070 - [c29]Anil Sharma, Saket Anand, Sanjit K. Kaul:
Intelligent Camera Selection Decisions for Target Tracking in a Camera Network. WACV 2022: 3083-3092 - [c28]Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee:
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. WACV 2022: 3829-3838 - [c27]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: 3898-3907 - [i24]Shivangi Agarwal, Sanjit K. Kaul, Saket Anand, P. B. Sujit:
Learning Estimates At The Edge Using Intermittent And Aged Measurement Updates. CoRR abs/2201.08020 (2022) - [i23]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 abs/2205.03104 (2022) - [i22]Ashima Garg, Depanshu Sani, Saket Anand:
Learning Hierarchy Aware Features for Reducing Mistake Severity. CoRR abs/2207.12646 (2022) - [i21]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 abs/2209.12238 (2022) - [i20]Sharat Agarwal, Saket Anand, Chetan Arora:
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift. CoRR abs/2210.06749 (2022) - 2021
- [i19]Rohit Arora, Aanchan Mohan, Saket Anand:
Impact of Channel Variation on One-Class Learning for Spoof Detection. CoRR abs/2109.14900 (2021) - [i18]Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora:
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias. CoRR abs/2110.10389 (2021) - [i17]Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand:
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. CoRR abs/2111.00164 (2021) - 2020
- [j4]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: 104022 (2020) - [j3]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): 737-749 (2020) - [c26]Anil Sharma, Mayank K. Pal, Saket Anand, Sanjit K. Kaul:
Stratified Sampling Based Experience Replay for Efficient Camera Selection Decisions. BigMM 2020: 144-151 - [c25]Ankita Shukla, Gullal Singh Cheema, Saket Anand:
Semi-Supervised Clustering with Neural Networks. BigMM 2020: 152-161 - [c24]Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora:
Contextual Diversity for Active Learning. ECCV (16) 2020: 137-153 - [c23]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: 437-455 - [c22]Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal, Saket Anand:
DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors. ECCV Workshops (6) 2020: 549-553 - [c21]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: 1736-1745 - [i16]Anil Sharma, Saket Anand, Sanjit K. Kaul:
Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping. CoRR abs/2004.09632 (2020) - [i15]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 abs/2004.10681 (2020) - [i14]Gullal Singh Cheema, Saket Anand:
Automatic Detection and Recognition of Individuals in Patterned Species. CoRR abs/2005.02905 (2020) - [i13]Ankita Shukla, Pavan K. Turaga, Saket Anand:
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. CoRR abs/2005.02936 (2020) - [i12]Lokender Tiwari, Saket Anand:
DGSAC: Density Guided Sampling and Consensus. CoRR abs/2006.02413 (2020) - [i11]Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee:
Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions. CoRR abs/2006.10679 (2020) - [i10]Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora:
Contextual Diversity for Active Learning. CoRR abs/2008.05723 (2020) - [i9]Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare:
Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks. CoRR abs/2011.11228 (2020)
2010 – 2019
- 2019
- [c20]Anil Sharma, Saket Anand, Sanjit K. Kaul:
Reinforcement Learning Based Querying in Camera Networks for Efficient Target Tracking. ICAPS 2019: 555-563 - [c19]Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga:
PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC 2019: 88 - [c18]Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell:
A Hybrid Approach to Tiger Re-Identification. ICCV Workshops 2019: 294-301 - [c17]Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala:
Primate Face Identification in the Wild. PRICAI (3) 2019: 387-401 - [i8]Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga:
Geometry of Deep Generative Models for Disentangled Representations. CoRR abs/1902.06964 (2019) - [i7]Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala:
Primate Face Identification in the Wild. CoRR abs/1907.02642 (2019) - [i6]Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga:
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR abs/1907.09554 (2019) - 2018
- [c16]Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand:
Exploring Bias in Primate Face Detection and Recognition. ECCV Workshops (1) 2018: 541-555 - [c15]Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu:
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders. ECCV (3) 2018: 829-845 - [c14]Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh:
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. ICASSP 2018: 5959-5963 - [c13]Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga:
Geometry of Deep Generative Models for Disentangled Representations. ICVGIP 2018: 68:1-68:8 - [c12]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: 3287-3293 - [c11]Lokender Tiwari, Saket Anand:
DGSAC: Density Guided Sampling and Consensus. WACV 2018: 974-982 - [i5]Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu:
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders. CoRR abs/1804.10469 (2018) - [i4]Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh:
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. CoRR abs/1805.08615 (2018) - [i3]Ankita Shukla, Gullal Singh Cheema, Saket Anand:
ClusterNet : Semi-Supervised Clustering using Neural Networks. CoRR abs/1806.01547 (2018) - [i2]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 abs/1807.03515 (2018) - [i1]Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala:
Unique Identification of Macaques for Population Monitoring and Control. CoRR abs/1811.00743 (2018) - 2017
- [c10]Akshay Jain, Alexander Fell, Saket Anand:
A Parallel Architecture for High Frame Rate Stereo using Semi-Global Matching. BMVC 2017 - [c9]Gullal Singh Cheema, Saket Anand:
Automatic Detection and Recognition of Individuals in Patterned Species. ECML/PKDD (3) 2017: 27-38 - [c8]Dhananjay Kimothi, Ankita Shukla, Pravesh Biyani, Saket Anand, James M. Hogan:
Metric learning on biological sequence embeddings. SPAWC 2017: 1-5 - 2016
- [c7]Lokender Tiwari, Saket Anand, Sushil Mittal:
Robust Multi-Model Fitting Using Density and Preference Analysis. ACCV (4) 2016: 308-323 - [c6]Lokender Tiwari, Saket Anand:
Fast hypothesis filtering for multi-structure geometric model fitting. ICIP 2016: 3728-3732 - [c5]Ankita Shukla, Saket Anand:
Metric learning based automatic segmentation of patterned species. ICIP 2016: 3982-3986 - [c4]Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand:
Stacked Robust Autoencoder for Classification. ICONIP (3) 2016: 600-607 - 2014
- [j2]Saket Anand, Sushil Mittal, Oncel Tuzel, Peter Meer:
Semi-Supervised Kernel Mean Shift Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1201-1215 (2014) - 2012
- [j1]Sushil Mittal, Saket Anand, Peter Meer:
Generalized Projection-Based M-Estimator. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2351-2364 (2012) - 2011
- [c3]Sushil Mittal, Saket Anand, Peter Meer:
Generalized projection based M-estimator: Theory and applications. CVPR 2011: 2689-2696
2000 – 2009
- 2006
- [c2]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: 319-330 - 2005
- [c1]Christine Podilchuk, Ankur Patel, Ashwath Harthattu, Saket Anand, Richard J. Mammone:
A New Face Recognition Algorithm using Bijective Mappings. CVPR Workshops 2005: 165
Coauthor Index
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last updated on 2024-04-25 05:45 CEST by the dblp team
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