Anindya Sarkar

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 24

Top Topics

Reinforcement Learning

Top Venues

Publications

Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. CoRR (2024)
Ying Xu, Michael Lanier, Anindya Sarkar, Yevgeniy Vorobeychik
Attacks on Node Attributes in Graph Neural Networks. CoRR (2024)
Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
Geospatial Active Search for Preventing Evictions. AAMAS (2024)
Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
A Visual Active Search Framework for Geospatial Exploration. WACV (2024)
Quan Nguyen, Anindya Sarkar, Roman Garnett
Amortized nonmyopic active search via deep imitation learning. CoRR (2024)
Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. NeurIPS (2023)
Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
A Partially Supervised Reinforcement Learning Framework for Visual Active Search. CoRR (2023)
Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
A Visual Active Search Framework for Geospatial Exploration. CoRR (2022)
Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang
Reward Delay Attacks on Deep Reinforcement Learning. CoRR (2022)
Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang
Reward Delay Attacks on Deep Reinforcement Learning. GameSec (2022)
Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
How Powerful are K-hop Message Passing Graph Neural Networks. NeurIPS (2022)
Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
A Framework for Learning Ante-hoc Explainable Models via Concepts. CVPR (2022)
Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. WACV (2022)
Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
How Powerful are K-hop Message Passing Graph Neural Networks. CoRR (2022)
Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. CoRR (2021)
Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach. NeurIPS (2021)
Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
Enhanced Regularizers for Attributional Robustness. AAAI (2021)
Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. CoRR (2021)
Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
Enhanced Regularizers for Attributional Robustness. CoRR (2020)
Anindya Sarkar, Raghu Sesha Iyengar
Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation. ICANN (1) (2020)
Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar
Neural Data Augmentation Techniques for Time Series Data and its Benefits. ICMLA (2020)
Anindya Sarkar, Sujeeth Reddy, Raghu Sesha Iyengar
Zero-Shot Multilingual Sentiment Analysis using Hierarchical Attentive Network and BERT. NLPIR (2019)
Anindya Sarkar, Nikhil Kumar Gupta, Raghu Sesha Iyengar
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation. CoRR (2019)
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
Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer. Medical Imaging: Digital Pathology (2019)
Anindya Sarkar, Quan Yuan, Chukka Srinivas
A robust method for inter-marker whole slide registration of digital pathology images using lines based features. ISBI (2014)
Kien Nguyen, Anindya Sarkar, Anil K. Jain
Prostate Cancer Grading: Use of Graph Cut and Spatial Arrangement of Nuclei. IEEE Trans. Medical Imaging 33 (12) (2014)
Ting Chen, Anindya Sarkar, Chukka Srinivas
Adaptive spectral unmixing for histopathology fluorescent images. ISBI (2014)
Kien Nguyen, Anindya Sarkar, Anil K. Jain
Structure and Context in Prostatic Gland Segmentation and Classification. MICCAI (1) (2012)
Anindya Sarkar, Abhirup Saha, Bipan Tudu, Nabarun Bhattacharyya, Rajib Bandyopadhyay
Discrimination of Black Tea Quality using Electronic Nose: A GA based approach. IICAI (2011)
Anindya Sarkar, Vishwakarma Singh, Pratim Ghosh, Bangalore S. Manjunath, Ambuj K. Singh
Efficient and Robust Detection of Duplicate Videos in a Large Database. IEEE Trans. Circuits Syst. Video Technol. 20 (6) (2010)
Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath
Improving re-sampling detection by adding noise. Media Forensics and Security (2010)
Anindya Sarkar, Kaushal Solanki, B. S. Manjunath
Obtaining Higher Rates for Steganographic Schemes While Maintaining the Same Detectability. Information Hiding (2010)
Anindya Sarkar, B. S. Manjunath
Image dependent log-likelihood ratio allocation for repeat accumulate code-based decoding in data hiding channels. Media Forensics and Security (2010)
Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath
Precise localization of key-points to identify local regions for robust data hiding. ICIP (2010)
Anindya Sarkar, Upamanyu Madhow, B. S. Manjunath
Matrix embedding with pseudorandom coefficient selection and error correction for robust and secure steganography. IEEE Trans. Inf. Forensics Secur. 5 (2) (2010)
Lakshmanan Nataraj, Anindya Sarkar, Bangalore S. Manjunath
Adding Gaussian noise to "denoise" JPEG for detecting image resizing. ICIP (2009)
Anindya Sarkar, Bangalore S. Manjunath
Double embedding in the quantization index modulation framework. ICIP (2009)
Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath
Detection of seam carving and localization of seam insertions in digital images. MM&Sec (2009)
Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath, Upamanyu Madhow
Estimation of optimum coding redundancy and frequency domain analysis of attacks for YASS - a randomized block based hiding scheme. ICIP (2008)
Anindya Sarkar, Kenneth Sullivan, B. S. Manjunath
Steganographic capacity estimation for the statistical restoration framework. Security, Forensics, Steganography, and Watermarking of Multimedia Contents (2008)
Anindya Sarkar, Kaushal Solanki, B. S. Manjunath
Further study on YASS: steganography based on randomized embedding to resist blind steganalysis. Security, Forensics, Steganography, and Watermarking of Multimedia Contents (2008)
Jim Kleban, Anindya Sarkar, Emily Moxley, Stephen Mangiat, Swapna Joshi, Thomas Kuo, B. S. Manjunath
Feature fusion and redundancy pruning for rush video summarization. TVS (2007)
Anindya Sarkar, B. S. Manjunath
Estimating Steganographic Capacity for Odd-Even Based Embedding and its Use in Individual Compensation. ICIP (1) (2007)
Elisa Drelie Gelasca, Swapna Joshi, Jim Kleban, Stephen Mangiat, B. S. Manjunath, Emily Moxley, Anindya Sarkar, Jiejun Xu
UThe Vision Research Lab of UCSB at TRECVID 2007. TRECVID (2007)
Anindya Sarkar, Upamanyu Madhow, Shivkumar Chandrasekaran, Bangalore S. Manjunath
Adaptive MPEG-2 video data hiding scheme. Security, Steganography, and Watermarking of Multimedia Contents (2007)
Arya K. Bhattacharya, Ashish Tiwari, Debjani Aditya, Utpal Nandi, Anindya Sarkar
Online Evaluation of Steel Slab Quality in Production Phase by Surface Crack Image Segmentation using Relative Fuzzy Connectedness. IPCV (2007)
Kaushal Solanki, Anindya Sarkar, B. S. Manjunath
YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis. Information Hiding (2007)
Anindya Sarkar, Kaushal Solanki, Upamanyu Madhow, Shivkumar Chandrasekaran, Bangalore S. Manjunath
Secure Steganography: Statistical Restoration of the Second Order Dependencies for Improved Security. ICASSP (2) (2007)
Anindya Sarkar, T. V. Sreenivas
Dynamic programming based segmentation approach to LSF matrix reconstruction. INTERSPEECH (2005)
Anindya Sarkar, Thippur V. Sreenivas
Automatic Speech Segmentation Using Average Level Crossing Rate Information. ICASSP (1) (2005)