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Tsung-Wei Ke
Tsung-Wei Ke
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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
2232018
Multigrid neural architectures
TW Ke, M Maire, SX Yu
Proceedings of the IEEE Conference on Computer Vision and Pattern ¡¦, 2017
992017
Universal weakly supervised segmentation by pixel-to-segment contrastive learning
TW Ke, JJ Hwang, SX Yu
arXiv preprint arXiv:2105.00957, 2021
722021
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
562018
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
322022
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
23*2019
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
102023
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
82017
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
3*2023
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
TW Ke, N Gkanatsios, K Fragkiadaki
arXiv preprint arXiv:2402.10885, 2024
22024
Learning Hierarchical Image Segmentation For Recognition and By Recognition
TW Ke, S Mo, XY Stella
The Twelfth International Conference on Learning Representations, 2023
1*2023
Local pseudo-attributes for long-tailed recognition
DJ Kim, TW Ke, XY Stella
Pattern Recognition Letters 172, 51-57, 2023
12023
Contextual image parsing via panoptic segment sorting
JJ Hwang, TW Ke, SX Yu
Multimedia Understanding with Less Labeling on Multimedia Understanding with ¡¦, 2021
12021
Recursive reduction net for large-scale high-dimensional data
TW Ke, TL Liu
2016 IEEE International Conference on Image Processing (ICIP), 1903-1907, 2016
12016
Implicit sparse code hashing
TY Lin, TW Ke, TL Liu
arXiv preprint arXiv:1512.00130, 2015
12015
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following
B Yang, H Su, N Gkanatsios, TW Ke, A Jain, J Schneider, K Fragkiadaki
arXiv preprint arXiv:2402.06559, 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
Mooney Faces from Photos
TW Ke, S Yu, D Whitney
Journal of Vision 17 (10), 915-915, 2017
2017
Variational Convolutional Networks for Human-Centric Annotations
TW Ke, CW Lin, TL Liu, D Geiger
Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei ¡¦, 2017
2017
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