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Publication search results
found 160 matches
- 2024
- Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg:
In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation and Beyond. Int. J. Comput. Vis. 132(3): 854-871 (2024) - Qi Lai, Jianhang Zhou, Yanfen Gan, Chi-Man Vong, C. L. Philip Chen:
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 828-839 (2024) - Chen-Bin Feng, Qi Lai, Kangdao Liu, Houcheng Su, Chi-Man Vong:
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model. CoRR abs/2401.09826 (2024) - Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel:
Genie: Generative Interactive Environments. CoRR abs/2402.15391 (2024) - Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. Rehg:
Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations. CoRR abs/2403.02090 (2024) - 2023
- Ryan Shea Ying Cong Tan, Qian Lin, Guat Hwa Low, Ruixi Lin, Tzer Chew Goh, Christopher Chu En Chang, Fung Fung Lee, Wei Yin Chan, Wei Chong Tan, Han Jieh Tey, Fun Loon Leong, Hong Qi Tan, Wen Long Nei, Wen Yee Chay, David Wai Meng Tai, Gillianne Geet Yi Lai, Lionel Tim-Ee Cheng, Fuh Yong Wong, Matthew Chin Heng Chua, Melvin Lee Kiang Chua, Daniel Shao-Weng Tan, Choon Hua Thng, Iain Bee Huat Tan, Hwee Tou Ng:
Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting. J. Am. Medical Informatics Assoc. 30(10): 1657-1664 (2023) - Laila El Hamamsy, Jean-Philippe Pellet, Matthew Roberts, Helena Kovacs, Barbara Bruno, Jessica Dehler-Zufferey, Francesco Mondada:
A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program. ACM Trans. Comput. Educ. 23(2): 27:1-27:31 (2023) - Chien Wei Oei, Eddie-Yin-Kwee Ng, Matthew Hok Shan Ng, Ru San Tan, Yam Meng Chan, Lai Gwen Chan, Udyavara Rajendra Acharya:
Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients. Sensors 23(18): 7946 (2023) - Hao Yang, Yufeng Lai, Xuanqi Liu, Matthew Davies, Jon Raffe Willmott, Yang Zhang, Jiansheng Yang:
Experimental and Simulated Study of the Relationship Between Color Camera Imaging and Color-Modeled Equivalence Ratio Measurement. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - Bolin Lai, Hongxin Zhang, Miao Liu, Aryan J. Pariani, Fiona Ryan, Wenqi Jia, Shirley Anugrah Hayati, James M. Rehg, Diyi Yang:
Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games. ACL (Findings) 2023: 6570-6588 - Matthew Lai, Longbing Cao, Haiyan Lu, Quang Ha, Li Li, Md. Jahangir Hossain, Paul J. Kennedy:
An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. IJCNN 2023: 1-8 - Wei-Chih Chien, E. K. Lai, L. Buzi, C. W. Cheng, C. W. Yeh, A. Ray, Lynne M. Gignac, N. Gong, H. Y. Cheng, A. Grun, D. Y. Lee, W. Kim, A. Majumdar, Douglas M. Bishop, Robert L. Bruce, D. Daudelin, H. Y. Ho, M. J. BrightSky, H. L. Lung:
A Comprehensive Study on the Pillar Size of OTS-PCM Memory with an Optimized Process and Scaling Trends Down to Sub-10 nm for SCM Applications. IMW 2023: 1-4 - Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew J. Budoff, Karol E. Watson, J. Jeffrey Carr, Elizabeth C. Oelsner, R. Graham Barr, Andrew F. Laine:
Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography. ISBI 2023: 1-5 - Paramvir Bahl, Matthew Balkwill, Xenofon Foukas, Anuj Kalia, Daehyeok Kim, Manikanta Kotaru, Zhihua Lai, Sanjeev Mehrotra, Bozidar Radunovic, Stefan Saroiu, Connor Settle, Ankit Verma, Alec Wolman, Francis Y. Yan, Yongguang Zhang:
Accelerating Open RAN Research Through an Enterprise-scale 5G Testbed. MobiCom 2023: 138:1-138:3 - Xenofon Foukas, Bozidar Radunovic, Matthew Balkwill, Zhihua Lai:
Taking 5G RAN Analytics and Control to a New Level. MobiCom 2023: 1:1-1:16 - Xenofon Foukas, Bozidar Radunovic, Matthew Balkwill, Zhihua Lai, Connor Settle:
Programmable RAN Platform for Flexible Real-Time Control and Telemetry. MobiCom 2023: 95:1-95:3 - Mark Taylor, Peter M. Caldwell, Luca Bertagna, Conrad Clevenger, Aaron Donahue, James G. Foucar, Oksana Guba, Benjamin R. Hillman, Noel Keen, Jayesh Krishna, Matthew R. Norman, Sarat Sreepathi, Christopher Terai, James B. White III, Andrew G. Salinger, Renata B. McCoy, Lai-yung Ruby Leung, David C. Bader, Danqing Wu:
The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System. SC 2023: 7:1-7:11 - Shilin Gao, Matthew P. Aylett, David A. Braude, Catherine Lai:
Synthesising Personality with Neural Speech Synthesis. SIGDIAL 2023: 393-399 - Bolin Lai, Fiona Ryan, Wenqi Jia, Miao Liu, James M. Rehg:
Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation. CoRR abs/2305.03907 (2023) - Tom Zahavy, Vivek Veeriah, Shaobo Hou, Kevin Waugh, Matthew Lai, Edouard Leurent, Nenad Tomasev, Lisa Schut, Demis Hassabis, Satinder Singh:
Diversifying AI: Towards Creative Chess with AlphaZero. CoRR abs/2308.09175 (2023) - Yuezhou Zhang, Amos A. Folarin, Judith Dineley, Pauline Conde, Valeria de Angel, Shaoxiong Sun, Yatharth Ranjan, Zulqarnain Rashid, Callum L. Stewart, Petroula Laiou, Heet Sankesara, Linglong Qian, Faith Matcham, Katie M. White, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Björn W. Schuller, Srinivasan Vairavan, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson, Nicholas Cummins, RADAR-CNS Consortium:
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. CoRR abs/2308.11773 (2023) - Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu:
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. CoRR abs/2312.03849 (2023) - Laila El Moujtahid, Sai Krishna Gottipati, Clodéric Mars, Matthew E. Taylor:
Human-Machine Teaming for UAVs: An Experimentation Platform. CoRR abs/2312.11718 (2023) - 2022
- Phillipa Gill, Christophe Diot, Lai Yi Ohlsen, Matt Mathis, Stephen Soltesz:
M-Lab: user initiated internet data for the research community. Comput. Commun. Rev. 52(1): 34-37 (2022) - Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang, Nicholas Cummins, Shuo Liu, Callum L. Stewart, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Petroula Laiou, Heet Sankesara, Gloria Dalla Costa, Letizia Leocani, Per Soelberg Sørensen, Melinda Magyari, Ana Isabel Guerrero, Ana Zabalza, Srinivasan Vairavan, Raquel Bailón, Sara Simblett, Inez Myin-Germeys, Aki Rintala, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Richard J. B. Dobson:
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. Comput. Methods Programs Biomed. 227: 107204 (2022) - Ilkay Yildiz, Rachael Garner, Matthew Lai, Dominique Duncan:
Unsupervised seizure identification on EEG. Comput. Methods Programs Biomed. 215: 106604 (2022) - Jennifer W. M. Lai, John De Nobile, Matt Bower, Yvonne Breyer:
Comprehensive evaluation of the use of technology in education - validation with a cohort of global open online learners. Educ. Inf. Technol. 27(7): 9877-9911 (2022) - Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier M. Duarte, Markus Atkinson, Gage DeZoort, Peter Elmer, Scott Hauck, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark S. Neubauer, Isobel Ojalvo, Savannah Thais, Matthew Trahms:
Graph Neural Networks for Charged Particle Tracking on FPGAs. Frontiers Big Data 5: 828666 (2022) - Petros Barmpas, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Panagiotis Anagnostou, Matthew Prina, José Luis Ayuso-Mateos, Jerome Bickenbach, Ivet Bayes, Martin Bobak, Francisco Félix Caballero, Somnath Chatterji, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Seppo Koskinen, Ilona Koupil, Andrzej Pajak, Martin Prince, Warren Sanderson, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, Albert Sanchez-Niubo, Vassilis P. Plagianakos, Demosthenes Panagiotakos:
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Inf. Sci. Syst. 10(1): 6 (2022) - Matthew R. Norman, David A. Bader, Christopher Eldred, Walter M. Hannah, Benjamin R. Hillman, Christopher R. Jones, Jungmin M. Lee, L. Ruby Leung, Isaac Lyngaas, Kyle G. Pressel, Sarat Sreepathi, Mark A. Taylor, Xingqiu Yuan:
Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF's summit supercomputer. Int. J. High Perform. Comput. Appl. 36(1): 93-105 (2022)
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