| 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 | 227 | 2018 |
| Multigrid neural architectures TW Ke, M Maire, SX Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 99 | 2017 |
| Universal weakly supervised segmentation by pixel-to-segment contrastive learning TW Ke, JJ Hwang, SX Yu arXiv preprint arXiv:2105.00957, 2021 | 75 | 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 | 58 | 2018 |
| 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 | 34 | 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 | 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 | 10 | 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 | 9 | 2017 |
| 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 | 2 | 2024 |
| Learning Hierarchical Image Segmentation For Recognition and By Recognition TW Ke, S Mo, XY Stella The Twelfth International Conference on Learning Representations, 2023 | 2* | 2023 |
| Local pseudo-attributes for long-tailed recognition DJ Kim, TW Ke, XY Stella Pattern Recognition Letters 172, 51-57, 2023 | 1 | 2023 |
| 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 |
| 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 | | 2024 |
| 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 |
| 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 |
Stella X. YuProfessor of EECS, University of MichiganVerified email at umich.edu
