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2020 – today
- 2024
[c8]Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. WACV 2024: 228-238- [i19]Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie:
User-LLM: Efficient LLM Contextualization with User Embeddings. CoRR abs/2402.13598 (2024) - [i18]Warren R. Morningstar, Alex Bijamov, Chris Duvarney, Luke Friedman, Neha Mukund Kalibhat, Luyang Liu, Philip Andrew Mansfield, Renan A. Rojas-Gomez, Karan Singhal, Bradley Green, Sushant Prakash:
Augmentations vs Algorithms: What Works in Self-Supervised Learning. CoRR abs/2403.05726 (2024) - [i17]Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - [i16]Chao Wang, Neo Wu, Lin Ning, Luyang Liu, Jun Xie, Shawn O'Banion, Bradley Green:
UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches. CoRR abs/2408.16966 (2024) - [i15]Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie:
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. CoRR abs/2409.04421 (2024) - 2023
- [i14]Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. CoRR abs/2304.04694 (2023) - [i13]Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu
, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan:
Towards Expert-Level Medical Question Answering with Large Language Models. CoRR abs/2305.09617 (2023) - [i12]Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan:
Towards Generalist Biomedical AI. CoRR abs/2307.14334 (2023) - 2022
- [i11]Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo:
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services. CoRR abs/2202.01934 (2022) - [i10]Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green:
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. CoRR abs/2210.00092 (2022) - 2021
- [c7]Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green:
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. AAAI 2021: 1273-1281 - [c6]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CVPR 2021: 2663-2673 - [c5]Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green:
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. ICCV 2021: 590-599 - [c4]Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu:
Contrastive Learning for Label Efficient Semantic Segmentation. ICCV 2021: 10603-10613 - [c3]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks 2021 - [i9]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. CoRR abs/2102.11859 (2021) - [i8]Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green:
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. CoRR abs/2104.12673 (2021) - 2020
- [c2]Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang:
Search to Distill: Pearls Are Everywhere but Not the Eyes. CVPR 2020: 7536-7545 - [c1]Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. ECCV (4) 2020: 108-126 - [i7]Neo Wu, Bradley Green, Xue Ben, Shawn O'Banion:
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case. CoRR abs/2001.08317 (2020) - [i6]Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. CoRR abs/2003.07853 (2020) - [i5]Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green:
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. CoRR abs/2010.07811 (2020) - [i4]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CoRR abs/2011.11200 (2020) - [i3]Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu:
Contrastive Learning for Label-Efficient Semantic Segmentation. CoRR abs/2012.06985 (2020)
2010 – 2019
- 2019
- [j2]Bradley Green:
Selected Compositions III (1986-2017). Comput. Music. J. 43(4): 88-91 (2019) - [i2]Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang:
Search to Distill: Pearls are Everywhere but not the Eyes. CoRR abs/1911.09074 (2019) - 2018
- [j1]Georgios Amanatidis, Bradley Green, Milena Mihail:
Connected realizations of joint-degree matrices. Discret. Appl. Math. 250: 65-74 (2018) - 2015
- [i1]Georgios Amanatidis, Bradley Green, Milena Mihail:
Graphic Realizations of Joint-Degree Matrices. CoRR abs/1509.07076 (2015)
Coauthor Index
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last updated on 2024-10-12 23:02 CEST by the dblp team
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