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- Anubhav Gupta — disambiguation page
- Anubhav Gupta 0001
aka: Anubhav P. Gupta
Cadence Design Systems, Inc., Berkeley, CA, USA - Anubhav Gupta 0002
Université de Franche-Comté, France - Anubha A. Gupta
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Publication search results
found 207 matches
- 2024
- Anubha Parashar, Apoorva Parashar, Mohammad Shabaz, Deepak Gupta, Aditya Kumar Sahu, Muhammad Attique Khan:
Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques. Eng. Appl. Artif. Intell. 130: 107712 (2024) - Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas Geiping, Abhinav Shrivastava, Tom Goldstein:
Measuring Style Similarity in Diffusion Models. CoRR abs/2404.01292 (2024) - Yuwei Liu, Chen Dan, Anubhav Bhatti, Bingjie Shen, Divij Gupta, Suraj Parmar, San Lee:
Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps. CoRR abs/2405.01714 (2024) - Divij Gupta, Anubhav Bhatti, Suraj Parmar, Chen Dan, Yuwei Liu, Bingjie Shen, San Lee:
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting. CoRR abs/2405.10216 (2024) - Medha Hira, Arnav Goel, Anubha Gupta:
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning. CoRR abs/2406.00021 (2024) - Arnav Goel, Medha Hira, Anubha Gupta:
Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning. CoRR abs/2406.00022 (2024) - Arnav Goel, Medha Hira, Anubha Gupta:
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning. CoRR abs/2406.08931 (2024) - 2023
- Anubha Gupta, Shiv Gehlot, Shubham Goswami, Sachin Motwani, Ritu Gupta, Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Reza Azad, Dorit Merhof, Afshin Bozorgpour, Babak Azad, Alaa Sulaiman, Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal, Xinyun Qiu, Yucheng Zhang, Ming Fan, Yoonbeom Park, Dae-Hong Lee, Joon Sik Park, KwangYeol Lee, Jaehyung Ye:
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images. Medical Image Anal. 83: 102677 (2023) - Prajvi Udar, Anubha Goel, R. S. Gupta:
Quantum Effect Dependent Modelling of Short Channel Junctionless Double Gate Stack(SC-JL-DG) MOSFET for High Frequency Analog Applications. Microelectron. J. 134: 105726 (2023) - Prajvi Udar, Anubha Goel, R. S. Gupta:
Nanoscale Temperature Dependent Quantum-Effect Analytical Model of Short- Channel, Junction-Less, Double-Gate Stack (SC-JL-DG) MOSFET for Analog Applications at Higher Frequencies. Microelectron. J. 141: 105952 (2023) - Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta:
A novel PRFB decomposition for non-stationary time-series and image analysis. Signal Process. 207: 108961 (2023) - Samir Jain, Rohan Atale, Anubhav Gupta, Utkarsh Mishra, Ayan Seal, Aparajita Ojha, Joanna Jaworek-Korjakowska, Ondrej Krejcar:
CoInNet: A Convolution-Involution Network With a Novel Statistical Attention for Automatic Polyp Segmentation. IEEE Trans. Medical Imaging 42(12): 3987-4000 (2023) - Prakhar Rai, Shiv Gehlot, Ritu Gupta, Anubha Gupta:
Lidacs: a Lightweight Domain adaptive cell Segmentation Framework. AIMLR 2023: 9:1-9:6 - Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. INLG 2023: 15-27 - Anubhav Dixit, Shaijal Tripathi, Bhavya Gupta, Navneet Sharma, Sana Chaitanya, Priyanka Bagade:
Smart Management of Leaks in Underground Pipelines Using Machine Learning. ISC2 2023: 1-7 - Ashutosh Vaish, Mihir Chaturvedi, Anubha Gupta, Ajit Rajwade:
Forest: White Matter Fiber Orientation Estimation Using Deep Learning in Diffusion MRI. MLSP 2023: 1-6 - Lomash Chandra Acharya, Anubhav Kumar, Khoirom Johnson Singh, Neha Gupta, Nayakanti Sai Shabarish, Neeraj Mishra, Mahipal Dargupally, Arvind Kumar Sharma, Venkatraman Ramakrishnan, Ajoy Mandal, Sudeb Dasgupta, Anand Bulusu:
Beyond SPICE Simulation: A Novel Variability-Aware STA Methodology for Digital Timing Closure. SMACD 2023: 1-4 - Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang:
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR abs/2308.05864 (2023) - Mohsin Ali, Kandukuri Sai Teja, Neeharika Gupta, Parth Patwa, Anubhab Chatterjee, Vinija Jain, Aman Chadha, Amitava Das:
CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling. CoRR abs/2309.05270 (2023) - Ankita Maity, Anubhav Sharma, Rudra Dhar, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
Multilingual Bias Detection and Mitigation for Indian Languages. CoRR abs/2312.15181 (2023) - Anubhab Baksi, Jakub Breier, Anupam Chattopadhyay, Tomas Gerlich, Sylvain Guilley, Naina Gupta, Kai Hu, Takanori Isobe, Arpan Jati, Petr Jedlicka, Hyunjun Kim, Fukang Liu, Zdenek Martinasek, Kosei Sakamoto, Hwajeong Seo, Rentaro Shiba, Ritu Ranjan Shrivastwa:
BAKSHEESH: Similar Yet Different From GIFT. IACR Cryptol. ePrint Arch. 2023: 750 (2023) - 2022
- Binish Fatimah, Priya Aggarwal, Pushpendra Singh, Anubha Gupta:
A comparative study for predictive monitoring of COVID-19 pandemic. Appl. Soft Comput. 122: 108806 (2022) - Vishakha Gautam, Rahul Gupta, Deepti Gupta, Anubhav Ruhela, Aayushi Mittal, Sanjay Kumar Mohanty, Sakshi Arora, Ria Gupta, Chandan Saini, Debarka Sengupta, Natarajan Arul Murugan, Gaurav Ahuja:
deepGraphh: AI-driven web service for graph-based quantitative structure-activity relationship analysis. Briefings Bioinform. 23(5) (2022) - Atul Anand, Tushar Kadian, Manu Kumar Shetty, Anubha Gupta:
Explainable AI decision model for ECG data of cardiac disorders. Biomed. Signal Process. Control. 75: 103584 (2022) - Priya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, Pushpendra Singh, Anubha Gupta, Shiv Dutt Joshi:
COVID-19 image classification using deep learning: Advances, challenges and opportunities. Comput. Biol. Medicine 144: 105350 (2022) - Amulya Agrawal, Aniket Chauhan, Manu Kumar Shetty, Girish M. P, Mohit D. Gupta, Anubha Gupta:
ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects. Comput. Biol. Medicine 146: 105540 (2022) - Dikshant Sagar, Priya Aggarwal, Akanksha Farswan, Ritu Gupta, Anubha Gupta:
GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patients. Comput. Biol. Medicine 149: 106048 (2022) - Ashutosh Vaish, Anubha Gupta, Ajit Rajwade:
CSR-PERT: Joint framework for MRI and HARDI data reconstruction using perturbed radial trajectory estimated from compressively sensed measurements. Comput. Biol. Medicine 150: 106117 (2022)
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