Anindya Sarkar

59 papers A* 8A 4B 4C 1Journal 20Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapting Actively on the Fly: Relevance-Guided Online Meta-Learning with Latent Concepts for Geospatial Discovery. CoRR Jowaria Khan, Anindya Sarkar, Yevgeniy Vorobeychik, Elizabeth Bondi-Kelly
2025	A*	`conf`	Active Geospatial Search for Efficient Tenant Eviction Outreach. AAAI Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
2025	J	`jnl`	Active Target Discovery under Uninformative Prior: The Power of Permanent and Transient Memory. CoRR Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik
2025	J	`jnl`	An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model. CoRR Anindya Sarkar, G. Vadivu
2025	A*	`conf`	Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks. ICML Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik
2025	J	`jnl`	Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks. CoRR Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Yevgeniy Vorobeychik, Chongjie Zhang
2025	J	`jnl`	Online Feedback Efficient Active Target Discovery in Partially Observable Environments. CoRR Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik
2024	A	`conf`	A Visual Active Search Framework for Geospatial Exploration. WACV Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
2024	J	`jnl`	Active Geospatial Search for Efficient Tenant Eviction Outreach. CoRR Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
2024	J	`jnl`	Amortized nonmyopic active search via deep imitation learning. CoRR Quan Nguyen, Anindya Sarkar, Roman Garnett
2024	J	`jnl`	Attacks on Node Attributes in Graph Neural Networks. CoRR Ying Xu, Michael Lanier, Anindya Sarkar, Yevgeniy Vorobeychik
2024	A*	`conf`	GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. NeurIPS Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
2024	J	`jnl`	GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. CoRR Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
2024	A	`conf`	Geospatial Active Search for Preventing Evictions. AAMAS Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
2023	J	`jnl`	A Partially Supervised Reinforcement Learning Framework for Visual Active Search. CoRR Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
2023	A*	`conf`	A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. NeurIPS Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
2022	A*	`conf`	A Framework for Learning Ante-hoc Explainable Models via Concepts. CVPR Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
2022	J	`jnl`	A Visual Active Search Framework for Geospatial Exploration. CoRR Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
2022	A*	`conf`	How Powerful are K-hop Message Passing Graph Neural Networks. NeurIPS Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
2022	J	`jnl`	How Powerful are K-hop Message Passing Graph Neural Networks. CoRR Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
2022	A	`conf`	Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. WACV Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
2022	—	`conf`	Reward Delay Attacks on Deep Reinforcement Learning. GameSec Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang
2022	J	`jnl`	Reward Delay Attacks on Deep Reinforcement Learning. CoRR Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang
2021	A*	`conf`	Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach. NeurIPS Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
2021	A*	`conf`	Enhanced Regularizers for Attributional Robustness. AAAI Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
2021	J	`jnl`	Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. CoRR Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
2021	J	`jnl`	Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. CoRR Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
2020	—	`conf`	Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation. ICANN (1) Anindya Sarkar, Raghu Sesha Iyengar
2020	J	`jnl`	Enhanced Regularizers for Attributional Robustness. CoRR Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
2020	C	`conf`	Neural Data Augmentation Techniques for Time Series Data and its Benefits. ICMLA Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar
2019	J	`jnl`	Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation. CoRR Anindya Sarkar, Nikhil Kumar Gupta, Raghu Sesha Iyengar
2019	—	`conf`	Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer. Digital Pathology Mohamed Amgad, Anindya Sarkar, Chukka Srinivas, Rachel Redman, Simrath Ratra, Charles J. Bechert, Benjamin C. Calhoun, Karen Mrazeck, Uday Kurkure, Lee A. D. Cooper, Michael Barnes
2019	—	`conf`	Zero-Shot Multilingual Sentiment Analysis using Hierarchical Attentive Network and BERT. NLPIR Anindya Sarkar, Sujeeth Reddy, Raghu Sesha Iyengar
2014	—	`conf`	A robust method for inter-marker whole slide registration of digital pathology images using lines based features. ISBI Anindya Sarkar, Quan Yuan, Chukka Srinivas
2014	—	`conf`	Adaptive spectral unmixing for histopathology fluorescent images. ISBI Ting Chen, Anindya Sarkar, Chukka Srinivas
2014	J	`jnl`	Prostate Cancer Grading: Use of Graph Cut and Spatial Arrangement of Nuclei. IEEE Trans. Medical Imaging Kien Nguyen, Anindya Sarkar, Anil K. Jain
2012	—	`conf`	Structure and Context in Prostatic Gland Segmentation and Classification. MICCAI (1) Kien Nguyen, Anindya Sarkar, Anil K. Jain
2011	—	`conf`	Discrimination of Black Tea Quality using Electronic Nose: A GA based approach. IICAI Anindya Sarkar, Abhirup Saha, Bipan Tudu, Nabarun Bhattacharyya, Rajib Bandyopadhyay
2010	J	`jnl`	Efficient and Robust Detection of Duplicate Videos in a Large Database. IEEE Trans. Circuits Syst. Video Technol. Anindya Sarkar, Vishwakarma Singh, Pratim Ghosh, Bangalore S. Manjunath, Ambuj K. Singh
2010	—	`conf`	Image dependent log-likelihood ratio allocation for repeat accumulate code-based decoding in data hiding channels. Media Forensics and Security Anindya Sarkar, B. S. Manjunath
2010	—	`conf`	Improving re-sampling detection by adding noise. Media Forensics and Security Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath
2010	J	`jnl`	Matrix embedding with pseudorandom coefficient selection and error correction for robust and secure steganography. IEEE Trans. Inf. Forensics Secur. Anindya Sarkar, Upamanyu Madhow, B. S. Manjunath
2010	—	`conf`	Obtaining Higher Rates for Steganographic Schemes While Maintaining the Same Detectability. Information Hiding Anindya Sarkar, Kaushal Solanki, B. S. Manjunath
2010	B	`conf`	Precise localization of key-points to identify local regions for robust data hiding. ICIP Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath
2009	B	`conf`	Adding Gaussian noise to "denoise" JPEG for detecting image resizing. ICIP Lakshmanan Nataraj, Anindya Sarkar, Bangalore S. Manjunath
2009	—	`conf`	Detection of seam carving and localization of seam insertions in digital images. MM&Sec Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath
2009	B	`conf`	Double embedding in the quantization index modulation framework. ICIP Anindya Sarkar, Bangalore S. Manjunath
2008	B	`conf`	Estimation of optimum coding redundancy and frequency domain analysis of attacks for YASS - a randomized block based hiding scheme. ICIP Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath, Upamanyu Madhow
2008	—	`conf`	Further study on YASS: steganography based on randomized embedding to resist blind steganalysis. Security, Forensics, Steganography, and Watermarking of Multimedia Contents Anindya Sarkar, Kaushal Solanki, B. S. Manjunath
2008	—	`conf`	Steganographic capacity estimation for the statistical restoration framework. Security, Forensics, Steganography, and Watermarking of Multimedia Contents Anindya Sarkar, Kenneth Sullivan, B. S. Manjunath
2007	—	`conf`	Adaptive MPEG-2 video data hiding scheme. Security, Steganography, and Watermarking of Multimedia Contents Anindya Sarkar, Upamanyu Madhow, Shivkumar Chandrasekaran, Bangalore S. Manjunath
2007	—	`conf`	Estimating Steganographic Capacity for Odd-Even Based Embedding and its Use in Individual Compensation. ICIP (1) Anindya Sarkar, B. S. Manjunath
2007	—	`conf`	Feature fusion and redundancy pruning for rush video summarization. TVS Jim Kleban, Anindya Sarkar, Emily Moxley, Stephen Mangiat, Swapna Joshi, Thomas Kuo, B. S. Manjunath
2007	—	`conf`	Online Evaluation of Steel Slab Quality in Production Phase by Surface Crack Image Segmentation using Relative Fuzzy Connectedness. IPCV Arya K. Bhattacharya, Ashish Tiwari, Debjani Aditya, Utpal Nandi, Anindya Sarkar
2007	—	`conf`	Secure Steganography: Statistical Restoration of the Second Order Dependencies for Improved Security. ICASSP (2) Anindya Sarkar, Kaushal Solanki, Upamanyu Madhow, Shivkumar Chandrasekaran, Bangalore S. Manjunath
2007	—	`conf`	UThe Vision Research Lab of UCSB at TRECVID 2007. TRECVID Elisa Drelie Gelasca, Swapna Joshi, Jim Kleban, Stephen Mangiat, B. S. Manjunath, Emily Moxley, Anindya Sarkar, Jiejun Xu
2007	—	`conf`	YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis. Information Hiding Kaushal Solanki, Anindya Sarkar, B. S. Manjunath
2005	—	`conf`	Automatic Speech Segmentation Using Average Level Crossing Rate Information. ICASSP (1) Anindya Sarkar, Thippur V. Sreenivas
2005	A	`conf`	Dynamic programming based segmentation approach to LSF matrix reconstruction. INTERSPEECH Anindya Sarkar, T. V. Sreenivas