Aman Agarwal - RankMe

34 papers A* 4A 1B 1Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation. CoRR Hongyang Du, Junjie Ye, Xiaoyan Cong, Runhao Li, Jingcheng Ni, Aman Agarwal, Zeqi Zhou, Zekun Li, Randall Balestriero, Yue Wang
2025	J	`jnl`	Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization. CoRR Aman Agarwal, James Gearon, Raksha Rank, Etienne Chenevert
2025	—	`conf`	RankCORE: Self-Supervised Ranking-Aware Correlation Optimized Regression for Face Image Quality Assessment. ICCVW Abhishek Joshi, Aman Agarwal
2025	—	`conf`	VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results. ICCVW Sizhuo Ma, Wei-Ting Chen, Qiang Gao, Jian Wang, Chris Wei Zhou, Wei Sun, Weixia Zhang, Linhan Cao, Jun Jia, Xiangyang Zhu, Dandan Zhu, Xiongkuo Min, Guangtao Zhai, Baoying Chen, Xiongwei Xiao, Jishen Zeng, Wei Wu, Tiexuan Lou, Yuchen Tan, Chunyi Song, Zhiwei Xu, MohammadAli Hamidi, Hadi Amirpour, Mingyin Bai, Jiawang Du, Zhenyu Jiang, Zilong Lu, Ziguan Cui, Zongliang Gan, Xinpeng Li, Shiqi Jiang, Chenhui Li, Changbo Wang, Weijun Yuan, Zhan Li, Yihang Chen, Yifan Deng, Ruting Deng, Zhanglu Chen, Boyang Yao, Shuling Zheng, Feng Zhang, Zhiheng Fu, Abhishek Joshi, Aman Agarwal, Rakhil Immidisetti, Ajay Narasimha Mopidevi, Vishwajeet Shukla, Hao Yang, Ruikun Zhang, Liyuan Pan, Kaixin Deng, Hang Ouyang, Fan Yang, Zhizun Luo, Zhuohang Shi, Songning Lai, Weilin Ruan, Yutao Yue
2025	J	`jnl`	VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results. CoRR Sizhuo Ma, Wei-Ting Chen, Qiang Gao, Jian Wang, Chris Wei Zhou, Wei Sun, Weixia Zhang, Linhan Cao, Jun Jia, Xiangyang Zhu, Dandan Zhu, Xiongkuo Min, Guangtao Zhai, Baoying Chen, Xiongwei Xiao, Jishen Zeng, Wei Wu, Tiexuan Lou, Yuchen Tan, Chunyi Song, Zhiwei Xu, MohammadAli Hamidi, Hadi Amirpour, Mingyin Bai, Jiawang Du, Zhenyu Jiang, Zilong Lu, Ziguan Cui, Zongliang Gan, Xinpeng Li, Shiqi Jiang, Chenhui Li, Changbo Wang, Weijun Yuan, Zhan Li, Yihang Chen, Yifan Deng, Ruting Deng, Zhanglu Chen, Boyang Yao, Shuling Zheng, Feng Zhang, Zhiheng Fu, Abhishek Joshi, Aman Agarwal, Rakhil Immidisetti, Ajay Narasimha Mopidevi, Vishwajeet Shukla, Hao Yang, Ruikun Zhang, Liyuan Pan, Kaixin Deng, Hang Ouyang, Fan Yang, Zhizun Luo, Zhuohang Shi, Songning Lai, Weilin Ruan, Yutao Yue
2024	J	`jnl`	CBAR-UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention-based deep residual neural network. Multim. Tools Appl. Rakesh Kumar, Meenu Gupta, Aman Agarwal, Anand Nayyar
2024	—	`conf`	Coordinating Numerical Relays with Voltage-Time-Current Characteristics in DG Integrated Power Networks and Implementation using FPGA. ISGT Asia N. Praneeth, Aman Agarwal, Abhishek Toluva, Madhulika Das, STP Srinivas, Alivelu Manga Parimi
2023	—	`conf`	Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware. OCIT Debashreet Das, Shashank Mouli Satapathy, Ajitha D, Aman Agarwal
2023	J	`jnl`	DeepPHiC: predicting promoter-centered chromatin interactions using a novel deep learning approach. Bioinform. Aman Agarwal, Li Chen
2023	J	`jnl`	TIVAN-indel: a computational framework for annotating and predicting non-coding regulatory small insertions and deletions. Bioinform. Aman Agarwal, Fengdi Zhao, Yuchao Jiang, Li Chen
2022	J	`jnl`	Explain to me like I am five - Sentence Simplification Using Transformers. CoRR Aman Agarwal
2021	—	`conf`	Efficient Protocol to Optimize New Radio Frequency Scanning in 5G Network. 5GWF Nishant, Kailash Kumar Jha, Avneesh Tiwari, Alok Kumar Jangid, Aman Agarwal, Nitesh Pushpak Shah, Debabrata Das
2020	J	`jnl`	Comparative analysis of environment losses in steel manufacturing supply chain using Taguchi loss function and design of experiments. J. Enterp. Inf. Manag. Shishir Goyal, Aman Agarwal, Srikanta Routroy
2020	—	`conf`	Exploring Sentiments of Voters through Social Media Content: A Case Study of 2017 Assembly Elections of Three States in India. ICEIS (1) Aman Agarwal, Veena Bansal
2020	J	`jnl`	Fake News Detection Using a Blend of Neural Networks: An Application of Deep Learning. SN Comput. Sci. Aman Agarwal, Mamta Mittal, Akshat Pathak, Lalit Mohan Goyal
2020	J	`jnl`	Functionally Effective Conscious AI Without Suffering. CoRR Aman Agarwal, Shimon Edelman
2020	J	`jnl`	Functionally Effective Conscious AI Without Suffering. J. Artif. Intell. Conscious. Aman Agarwal, Shimon Edelman
2020	—	`—`	Unbiased Learning-to-Rank from Logged Implicit Feedback. Aman Agarwal
2020	J	`jnl`	Using LSTM for the Prediction of Disruption in ADITYA Tokamak. CoRR Aman Agarwal, Aditya Mishra, Priyanka Sharma, Swati Jain, Sutapa Ranjan, Ranjana Manchanda
2019	A*	`conf`	A General Framework for Counterfactual Learning-to-Rank. SIGIR Aman Agarwal, Kenta Takatsu, Ivan Zaitsev, Thorsten Joachims
2019	A*	`conf`	Addressing Trust Bias for Unbiased Learning-to-Rank. WWW Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2019	J	`jnl`	Characterizing behavioral trends in a community driven discussion platform. CoRR Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey
2019	A	`conf`	Estimating Position Bias without Intrusive Interventions. WSDM Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
2019	A*	`conf`	Intervention Harvesting for Context-Dependent Examination-Bias Estimation. SIGIR Zhichong Fang, Aman Agarwal, Thorsten Joachims
2018	B	`conf`	Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit. ASONAM Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey
2018	J	`jnl`	Analyzing behavioral trends in community driven discussion platforms like Reddit. CoRR Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey
2018	J	`jnl`	Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank. CoRR Aman Agarwal, Ivan Zaitsev, Thorsten Joachims
2018	J	`jnl`	Counterfactual Learning-to-Rank for Additive Metrics and Deep Models. CoRR Aman Agarwal, Ivan Zaitsev, Thorsten Joachims
2018	J	`jnl`	Estimating Position Bias without Intrusive Interventions. CoRR Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
2018	J	`jnl`	Intervention Harvesting for Context-Dependent Examination-Bias Estimation. CoRR Zhichong Fang, Aman Agarwal, Thorsten Joachims
2018	J	`jnl`	Offline Comparison of Ranking Functions using Randomized Data. CoRR Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2017	A*	`conf`	Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers. KDD Aman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims
2017	J	`jnl`	Effective Evaluation using Logged Bandit Feedback from Multiple Loggers. CoRR Aman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims
2010	—	`conf`	Content Based Multimodal Retrieval for Databases of Indian Monuments. IC3 (1) Aman Agarwal, Vikas Saxena