Saikat Dutta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
15
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | OmniCode: A Benchmark for Evaluating Software Development Agents. | Atharv Sonwane, Eng-Shen Tu, Wei-Chung Lu, Claas Beger, Carter Larsen, Debjit Dhar, Simon Alford, Rachel Chen, Ronit Pattanayak, Tuan Anh Dang, Guohao Chen, Gloria Geng, Kevin Ellis, Saikat Dutta |
| 2026 | ICST | How Effective Is Coverage-Guided Fuzzing to Test Deep Learning Library APIs? | Feiran Alex Qin, M. M. Abid Naziri, Hengyu Ai, Saikat Dutta, Marcelo d'Amorim |
| 2025 | CVPR | AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images. | Saikat Dutta, Akhil Vasim, Siddhant Gole, Hamid Rezatofighi, Biplab Banerjee |
| 2025 | CVPR | When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach. | Vaibhav Rathore, Shubhranil B, Saikat Dutta, Sarthak Mehrotra, Zsolt Kira, Biplab Banerjee |
| 2025 | ICLR | IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities. | Ziyang Li, Saikat Dutta, Mayur Naik |
| 2025 | ICML | DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning. | Aaditya Naik, Jason Liu, Claire Wang, Amish Sethi, Saikat Dutta, Mayur Naik, Eric Wong |
| 2025 | ICST | Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities. | Avishree Khare, Saikat Dutta, Ziyang Li, Alaia Solko-Breslin, Rajeev Alur, Mayur Naik |
| 2025 | ISSTA | BugsInDLLs : A Database of Reproducible Bugs in Deep Learning Libraries to Enable Systematic Evaluation of Testing Techniques. | M. M. Abid Naziri, Aman Kumar Singh, Benjamin Wu, Feiran (Alex) Qin, Saikat Dutta, Marcelo d'Amorim |
| 2025 | SAS | AURA: Precise Abstract Interpretation of Probabilistic Programs with Interval Data Uncertainty. | Zixin Huang, Jacob Laurel, Saikat Dutta, Sasa Misailovic |
| 2023 | ICSE | Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests. | Chunqiu Steven Xia, Saikat Dutta, Sasa Misailovic, Darko Marinov, Lingming Zhang |
| 2023 | UAI | ASTRA: Understanding the practical impact of robustness for probabilistic programs. | Zixin Huang, Saikat Dutta, Sasa Misailovic |
| 2022 | CVPR | Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions. | Saikat Dutta, Arulkumar Subramaniam, Anurag Mittal |
| 2022 | CVPR | NTIRE 2022 Challenge on Perceptual Image Quality Assessment. | Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari |
| 2022 | FASE | SixthSense: Debugging Convergence Problems in Probabilistic Programs via Program Representation Learning. | Saikat Dutta, Zixin Huang, Sasa Misailovic |
| 2022 | ICSE | InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript. | Saikat Dutta, Diego Garbervetsky, Shuvendu K. Lahiri, Max Schfer |
| 2022 | ICST | To Seed or Not to Seed? An Empirical Analysis of Usage of Seeds for Testing in Machine Learning Projects. | Saikat Dutta, Anshul Arunachalam, Sasa Misailovic |
| 2021 | AAAI | A Heuristic-Driven Ensemble Framework for COVID-19 Fake News Detection. | Sourya Dipta Das, Ayan Basak, Saikat Dutta |
| 2021 | ATVA | AQUA: Automated Quantized Inference for Probabilistic Programs. | Zixin Huang, Saikat Dutta, Sasa Misailovic |
| 2021 | CVPR | Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering From a Single Image. | Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari |
| 2021 | CVPR | Efficient Space-Time Video Super Resolution Using Low-Resolution Flow and Mask Upsampling. | Saikat Dutta, Nisarg A. Shah, Anurag Mittal |
| 2021 | ICIP | Dsrn: an Efficient Deep Network for Image Relighting. | Sourya Dipta Das, Nisarg A. Shah, Saikat Dutta, Himanshu Kumar |
| 2021 | ISSTA | TERA: optimizing stochastic regression tests in machine learning projects. | Saikat Dutta, Jeeva Selvam, Aryaman Jain, Sasa Misailovic |
| 2020 | CVPR | NTIRE 2020 Challenge on NonHomogeneous Dehazing. | Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem M. Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal |
| 2020 | CVPR | Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing. | Sourya Dipta Das, Saikat Dutta |
| 2020 | CVPR | NTIRE 2020 Challenge on Image and Video Deblurring. | Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee, Yu Tseng, Yu-Syuan Xu, Cheng-Ming Chiang, Yi-Min Tsai, Stephan Brehm, Sebastian A. Scherer, Dejia Xu, Yihao Chu, Qingyan Sun, Jiaqin Jiang, Lunhao Duan, Jian Yao, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Yuichi Ito, Hrishikesh P. S, Densen Puthussery, Akhil K. A, C. V. Jiji, Guisik Kim, Deepa P. L, Zhiwei Xiong, Jie Huang, Dong Liu, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Shihua Huang, Yuchen Fan, Jiahui Yu, Haichao Yu, Thomas S. Huang, Ya Zhou, Xin Li, Sen Liu, Zhibo Chen, Saikat Dutta, Sourya Dipta Das, Shivam Garg, Daniel Sprague, Bhrij Patel, Thomas Huck |
| 2020 | ECCV | AIM 2020 Challenge on Rendering Realistic Bokeh. | Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, C. V. Jiji, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou |
| 2020 | ISSTA | Detecting flaky tests in probabilistic and machine learning applications. | Saikat Dutta, August Shi, Rutvik Choudhary, Zhekun Zhang, Aryaman Jain, Sasa Misailovic |
| 2015 | APSCC | A Framework for Fast Service Verification and Query Execution for Boolean Service Rules. | Soumi Chattopadhyay, Saikat Dutta, Ansuman Banerjee |