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2020 – today
- 2024
[c36]Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik:
Geospatial Active Search for Preventing Evictions. AAMAS 2024: 2456-2458- [c35]Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik:
A Visual Active Search Framework for Geospatial Exploration. WACV 2024: 8301-8310 - [i12]Ying Xu, Michael Lanier, Anindya Sarkar, Yevgeniy Vorobeychik:
Attacks on Node Attributes in Graph Neural Networks. CoRR abs/2402.12426 (2024) - [i11]Quan Nguyen, Anindya Sarkar, Roman Garnett:
Amortized nonmyopic active search via deep imitation learning. CoRR abs/2405.15031 (2024) - [i10]Anindya Sarkar, Srikumar Sastry
, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik:
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. CoRR abs/2406.01917 (2024) - [i9]Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik:
Active Geospatial Search for Efficient Tenant Eviction Outreach. CoRR abs/2412.17854 (2024) - 2023
- [c34]Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik:
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. NeurIPS 2023 - [i8]Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik:
A Partially Supervised Reinforcement Learning Framework for Visual Active Search. CoRR abs/2310.09689 (2023) - 2022
- [c33]Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian:
A Framework for Learning Ante-hoc Explainable Models via Concepts. CVPR 2022: 10276-10285 - [c32]Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang:
Reward Delay Attacks on Deep Reinforcement Learning. GameSec 2022: 212-230 - [c31]Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang:
How Powerful are K-hop Message Passing Graph Neural Networks. NeurIPS 2022 - [c30]Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian:
Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. WACV 2022: 3564-3573 - [i7]Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang:
How Powerful are K-hop Message Passing Graph Neural Networks. CoRR abs/2205.13328 (2022) - [i6]Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang:
Reward Delay Attacks on Deep Reinforcement Learning. CoRR abs/2209.03540 (2022) - [i5]Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik:
A Visual Active Search Framework for Geospatial Exploration. CoRR abs/2211.15788 (2022) - 2021
- [c29]Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian:
Enhanced Regularizers for Attributional Robustness. AAAI 2021: 2532-2540 - [c28]Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian:
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach. NeurIPS 2021: 12836-12848 - [i4]Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian:
Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. CoRR abs/2108.11761 (2021) - [i3]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 abs/2111.00295 (2021) - 2020
- [c27]Anindya Sarkar, Raghu Sesha Iyengar:
Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation. ICANN (1) 2020: 52-64 - [c26]Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar:
Neural Data Augmentation Techniques for Time Series Data and its Benefits. ICMLA 2020: 107-114 - [i2]Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian:
Enhanced Regularizers for Attributional Robustness. CoRR abs/2012.14395 (2020)
2010 – 2019
- 2019
- [c25]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. Digital Pathology 2019: 109560M - [c24]Anindya Sarkar, Sujeeth Reddy, Raghu Sesha Iyengar:
Zero-Shot Multilingual Sentiment Analysis using Hierarchical Attentive Network and BERT. NLPIR 2019: 49-56 - [i1]Anindya Sarkar, Nikhil Kumar Gupta, Raghu Sesha Iyengar:
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation. CoRR abs/1910.08108 (2019) - 2014
- [j3]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): 2254-2270 (2014) - [c23]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: 762-765 - [c22]Ting Chen, Anindya Sarkar, Chukka Srinivas:
Adaptive spectral unmixing for histopathology fluorescent images. ISBI 2014: 1287-1290 - 2012
- [c21]Kien Nguyen, Anindya Sarkar, Anil K. Jain:
Structure and Context in Prostatic Gland Segmentation and Classification. MICCAI (1) 2012: 115-123 - 2011
- [c20]Anindya Sarkar, Abhirup Saha, Bipan Tudu, Nabarun Bhattacharyya, Rajib Bandyopadhyay:
Discrimination of Black Tea Quality using Electronic Nose: A GA based approach. IICAI 2011: 245-255 - 2010
- [j2]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): 870-885 (2010) - [j1]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): 225-239 (2010) - [c19]Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath:
Precise localization of key-points to identify local regions for robust data hiding. ICIP 2010: 3681-3684 - [c18]Anindya Sarkar, Kaushal Solanki, B. S. Manjunath:
Obtaining Higher Rates for Steganographic Schemes While Maintaining the Same Detectability. Information Hiding 2010: 178-192 - [c17]Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath:
Improving re-sampling detection by adding noise. Media Forensics and Security 2010: 75410I - [c16]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: 754113
2000 – 2009
- 2009
- [c15]Lakshmanan Nataraj, Anindya Sarkar, Bangalore S. Manjunath:
Adding Gaussian noise to "denoise" JPEG for detecting image resizing. ICIP 2009: 1493-1496 - [c14]Anindya Sarkar, Bangalore S. Manjunath:
Double embedding in the quantization index modulation framework. ICIP 2009: 3653-3656 - [c13]Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath:
Detection of seam carving and localization of seam insertions in digital images. MM&Sec 2009: 107-116 - 2008
- [c12]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: 1292-1295 - [c11]Anindya Sarkar, Kenneth Sullivan, B. S. Manjunath:
Steganographic capacity estimation for the statistical restoration framework. Security, Forensics, Steganography, and Watermarking of Multimedia Contents 2008: 681916 - [c10]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: 681917 - 2007
- [c9]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: 277-280 - [c8]Anindya Sarkar, B. S. Manjunath:
Estimating Steganographic Capacity for Odd-Even Based Embedding and its Use in Individual Compensation. ICIP (1) 2007: 409-412 - [c7]Kaushal Solanki, Anindya Sarkar, B. S. Manjunath:
YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis. Information Hiding 2007: 16-31 - [c6]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: 353-362 - [c5]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: 84-88 - [c4]Anindya Sarkar, Upamanyu Madhow, Shivkumar Chandrasekaran, Bangalore S. Manjunath:
Adaptive MPEG-2 video data hiding scheme. Security, Steganography, and Watermarking of Multimedia Contents 2007: 65051D - [c3]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 - 2005
- [c2]Anindya Sarkar, Thippur V. Sreenivas:
Automatic Speech Segmentation Using Average Level Crossing Rate Information. ICASSP (1) 2005: 397-400 - [c1]Anindya Sarkar, T. V. Sreenivas:
Dynamic programming based segmentation approach to LSF matrix reconstruction. INTERSPEECH 2005: 649-652
Coauthor Index
aka: Bangalore S. Manjunath
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