Tsung-Wei Ke

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Coauteurs

Stella X. YuProfessor of EECS, University of MichiganAdresse e-mail validée de umich.edu
Jyh-Jing HwangWaymo LLCAdresse e-mail validée de waymo.com
Katerina FragkiadakiAssociate Professor, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Nikolaos GkanatsiosPhD Student at Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Ziwei LiuAssistant Professor, Nanyang Technological UniversityAdresse e-mail validée de ntu.edu.sg
Michael MaireUniversity of ChicagoAdresse e-mail validée de uchicago.edu
Zhou XianRobotics Institute, Carnegie Mellon UniversityAdresse e-mail validée de cmu.edu
Yunhui GuoUT DallasAdresse e-mail validée de utdallas.edu
Daniela UshizimaLawrence Berkeley National Laboratory, UC Berkeley, UC San FranciscoAdresse e-mail validée de lbl.gov
Aaron S BrewsterLawrence Berkeley National LabsAdresse e-mail validée de lbl.gov
Chao YangLawrence Berkeley National LaboratoryAdresse e-mail validée de lbl.gov
David WhitneyProfessor of Psychology, UC BerkeleyAdresse e-mail validée de berkeley.edu
Jianbo ShiUniversity of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
Ayush JainPhD Student in Robotics, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Tyng-Luh LiuResearch Fellow of Institute of Information Science, Academia SinicaAdresse e-mail validée de iis.sinica.edu.tw
Zhihang RenResearch Affiliate, UC BerkeleyAdresse e-mail validée de berkeley.edu
Davi GeigerCourant Institute, New York UniversityAdresse e-mail validée de nyu.edu

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Tsung-Wei Ke

National Taiwan University

Adresse e-mail validée de csie.ntu.edu.tw - Page d'accueil

Computer Vision Embodied AI Robot Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Adaptive affinity fields for semantic segmentation TW Ke, JJ Hwang, Z Liu, SX Yu Proceedings of the European conference on computer vision (ECCV), 587-602, 2018	239	2018
Multigrid neural architectures TW Ke, M Maire, SX Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	103	2017
Universal weakly supervised segmentation by pixel-to-segment contrastive learning TW Ke, JJ Hwang, SX Yu arXiv preprint arXiv:2105.00957, 2021	91	2021
A convolutional neural network-based screening tool for X-ray serial crystallography TW Ke, AS Brewster, SX Yu, D Ushizima, C Yang, NK Sauter Journal of synchrotron radiation 25 (3), 655-670, 2018	70	2018
Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation Z Xian, N Gkanatsios, T Gervet, TW Ke, K Fragkiadaki 7th Annual Conference on Robot Learning, 2023	55	2023
3d diffuser actor: Policy diffusion with 3d scene representations TW Ke, N Gkanatsios, K Fragkiadaki arXiv preprint arXiv:2402.10885, 2024	54	2024
Unsupervised hierarchical semantic segmentation with multiview cosegmentation and clustering transformers TW Ke, JJ Hwang, Y Guo, X Wang, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	53	2022
Adversarial Structure Matching for Structured Prediction Tasks JJ Hwang, TW Ke, J Shi, SX Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	25*	2019
Diffusion-tta: Test-time adaptation of discriminative models via generative feedback M Prabhudesai, TW Ke, AC Li, D Pathak, K Fragkiadaki Thirty-seventh Conference on Neural Information Processing Systems, 2023	23*	2023
Mooney face classification and prediction by learning across tone TW Ke, XY Stella, D Whitney 2017 IEEE international conference on image processing (ICIP), 2025-2029, 2017	10	2017
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving B Yang, H Su, N Gkanatsios, TW Ke, A Jain, J Schneider, K Fragkiadaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	6*	2024
Learning hierarchical image segmentation for recognition and by recognition TW Ke, S Mo, XY Stella The Twelfth International Conference on Learning Representations, 2023	5*	2023
Local pseudo-attributes for long-tailed recognition DJ Kim, TW Ke, XY Stella Pattern Recognition Letters 172, 51-57, 2023	2	2023
Deep learning workflow to support in-flight processing of digital aerial imagery for wildlife population surveys TW Ke, SX Yu, MD Koneff, DL Fronczak, LJ Fara, TJ Harrison, KL Landolt, ... Plos one 19 (4), e0288121, 2024	1	2024
Contextual image parsing via panoptic segment sorting JJ Hwang, TW Ke, SX Yu Multimedia Understanding with Less Labeling on Multimedia Understanding with …, 2021	1	2021
Recursive reduction net for large-scale high-dimensional data TW Ke, TL Liu 2016 IEEE International Conference on Image Processing (ICIP), 1903-1907, 2016	1	2016
Implicit sparse code hashing TY Lin, TW Ke, TL Liu arXiv preprint arXiv:1512.00130, 2015	1	2015
Automating the detection and classification of marine wildlife in aerial imagery with machine learning methods K Landolt, T White, M Koneff, B Pickens, A Murphy, M Walker, L Fara, ... 2024 Ocean Sciences Meeting, 2024		2024
Learning Visual Groupings and Representations With Minimal Human Labels TW Ke University of California, Berkeley, 2022		2022
A Generative Model for Tumor Stimuli Synthesis Z Ren, TW Ke, XY Stella, D Whitney Journal of Vision 20 (11), 1712-1712, 2020		2020

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