- Saumya Patel, Ankita Vaish:
An efficient optimization of measurement matrix for compressive sensing. J. Vis. Commun. Image Represent. 95: 103904 (2023) - Ankit Patnala, Scarlet Stadtler, Martin G. Schultz, Juergen Gall:
Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - Saumya Patel, Ankita Vaish:
Efficient image coding through compressive sensing and chaos theory. Multim. Tools Appl. 82(21): 33225-33243 (2023) - Amar Shukla, Ankit Verma, Hussain Falih Mahdi, Tanupriya Choudhury, Thipendra Pal Singh:
Path reader and intelligent lane navigator by autonomous vehicle. Paladyn J. Behav. Robotics 14(1) (2023) - Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow:
Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput. Biol. 19(3) (2023) - Deepak Kumar Jain, S. Neelakandan, Ankit Vidyarthi, Deepak Gupta:
Deep learning-based intelligent system for fingerprint identification using decision-based median filter. Pattern Recognit. Lett. 174: 25-31 (2023) - Debabrata Pal, Shirsha Bose, Deeptej More, Ankit Jha, Biplab Banerjee, Yogananda V. Jeppu:
MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning. Pattern Recognit. Lett. 173: 101-107 (2023) - Ankit Kumar, Tanjung Krisnanda, Paramasivan Arumugam, Tomasz Paterek:
Continuous-Variable Entanglement through Central Forces: Application to Gravity between Quantum Masses. Quantum 7: 1008 (2023) - Kalhan Koul, Jackson Melchert, Kavya Sreedhar, Leonard Truong, Gedeon Nyengele, Keyi Zhang, Qiaoyi Liu, Jeff Setter, Po-Han Chen, Yuchen Mei, Maxwell Strange, Ross Daly, Caleb Donovick, Alex Carsello, Taeyoung Kong, Kathleen Feng, Dillon Huff, Ankita Nayak, Rajsekhar Setaluri, James Thomas, Nikhil Bhagdikar, David Durst, Zachary Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina:
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. ACM Trans. Embed. Comput. Syst. 22(2): 35:1-35:34 (2023) - Ankita Nayak, Keyi Zhang, Rajsekhar Setaluri, Alex Carsello, Makai Mann, Christopher Torng, Stephen Richardson, Rick Bahr, Pat Hanrahan, Mark Horowitz, Priyanka Raina:
Improving Energy Efficiency of CGRAs with Low-Overhead Fine-Grained Power Domains. ACM Trans. Reconfigurable Technol. Syst. 16(2): 26:1-26:28 (2023) - Ankit Chouhan, Kamal M. Captain, Ashok Parmar, Jignesh R. Patel:
Defending Cooperative Spectrum Sensing From Byzantine Attacks: An Effective Entropy-Based Weighted Algorithm. IEEE Wirel. Commun. Lett. 12(12): 2063-2067 (2023) - Ankit R. Patel, Philipp Wintersberger, Nathan L. Tenhundfeld, Dustin J. Souders, Tiziana C. Callari, Tanja Stoll:
1st "International Workshop on Human And Technology" (i-WHAT) Theme: In the realm of ADAS. AutomotiveUI (Adjunct Proceedings) 2023: 215-218 - Kristina Stojmenova Pececnik, Seul Chan Lee, Sara Hong, Martina Schuß, Hatice Sahin Ippoliti, Ankit R. Patel, Andreas Löcken, Debargha Dey, Andreas Riener, Alexander G. Mirnig, Myounghoon Jeon:
How to Ensure Diversity and Inclusion at Conferences? A Workshop for General Chairs, Program Committee Members, Reviewers and Authors: A Workshop for General Chairs, Program Committee Members, Reviewers and Authors. AutomotiveUI (Adjunct Proceedings) 2023: 241-244 - Zhenyu Liao, José Salazar, Ankit A. Ravankar, Sebastian Fernando Chinchilla Gutierrez, Éric Monacelli, Yasuhisa Hirata:
Path-Following Guidance for Powered Wheelchair Users Using Mixed-Reality Technology with Shared Control Policy. CBS 2023: 380-385 - Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash Ghodesawar, Swaroop Adrashyappanamath, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal:
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. CVPR Workshops 2023: 2853-2863 - Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan:
Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. HiPC 2023: 127-131 - Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita:
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. ICDH 2023: 208-216 - Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Ankita Joshi, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam:
PA-GAN: Parallel Attention Based Gan for Enhancement of FODF. ISBI 2023: 1-5 - Ankit R. Patel, Mariacristina Roscia, Dean Vucinic:
Legal Implications for Autonomous Vehicles Mobility in Future Smart Cities. ISC2 2023: 1-5 - Anshuman Chandra, Moiz Khan, Ankita Patidar, Fumiaki Takashima, Sandeep Kumar Goel, Bharath Shankaranarayanan, Vuong Nguyen, Vistrita Tyagi, Manish Arora:
A Case Study on IEEE 1838 Compliant Multi-Die 3DIC DFT Implementation. ITC 2023: 11-20 - Yuting Feng, Ankitkumar Patel, Bogdan Cautis, Hossein Vahabi:
Influence Maximization with Fairness at Scale. KDD 2023: 4046-4055 - McKell Woodland, Nihil Patel, Mais Al Taie, Joshua P. Yung, Tucker J. Netherton, Ankit B. Patel, Kristy K. Brock:
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. UNSURE@MICCAI 2023: 147-156 - Wesley D. Sacher, Yiding Lin, Hong Chen, Saeed S. Azadeh, Zheng Yong, Xianshu Luo, Hongyao Chua, Jason C. C. Mak, Alperen Govdeli, Ankita Sharma, Jared C. Mikkelsen, Xin Mu, Andrei Stalmashonak, Guo-Qiang Lo, Joyce K. S. Poon:
An Active Visible-Light Integrated Photonics Platform on 200-mm Si. OFC 2023: 1-3 - Allabakash Ghodesawar, Vinod Patil, Ankit Raichur, Swaroop Adrashyappanamath, Sampada Malagi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
DeFlare-Net: Flare Detection and Removal Network. PReMI 2023: 465-472 - Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion 2023: 217-224 - Goro Aoki, Jose Victorio Salazar Luces, Seyed Amir Tafrishi, Ankit A. Ravankar, Yasuhisa Hirata:
Nursing Care Teaching System Based on Mixed Reality for Effective Caregiver-Patient Interaction. SII 2023: 1-6 - Simon Shim, Ankit Dhokariya, Devangi Doshi, Sarvesh Upadhye, Varun Patwari, Ji-Yong Park:
Predictive Auto-scaler for Kubernetes Cloud. SysCon 2023: 1-8 - Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan:
Towards causally linking architectural parametrizations to algorithmic bias in neural networks. CoRR abs/2302.03750 (2023) - Ankita Sontakke, Kanika Kalra, Manasi Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Shrishti Pradhan:
Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language. CoRR abs/2303.09062 (2023)