| 2024 | CoRL | 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations. | Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki |
| 2024 | CVPR | Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving. | Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki |
| 2024 | ICLR | Learning Hierarchical Image Segmentation For Recognition and By Recognition. | Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu |
| 2023 | CoRL | ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation. | Zhou Xian, Nikolaos Gkanatsios, Thophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki |
| 2022 | CVPR | Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. | Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu |
| 2021 | ICLR | Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. | Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu |
| 2019 | CVPR | Adversarial Structure Matching for Structured Prediction Tasks. | Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu |
| 2018 | ECCV | Adaptive Affinity Fields for Semantic Segmentation. | Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu |
| 2017 | CVPR | Multigrid Neural Architectures. | Tsung-Wei Ke, Michael Maire, Stella X. Yu |
| 2017 | ICIP | Mooney face classification and prediction by learning across tone. | Tsung-Wei Ke, Stella X. Yu, David Whitney |
| 2016 | ACCV | Variational Convolutional Networks for Human-Centric Annotations. | Tsung-Wei Ke, Che-Wei Lin, Tyng-Luh Liu, Davi Geiger |
| 2016 | ICIP | Recursive reduction net for large-scale high-dimensional data. | Tsung-Wei Ke, Tyng-Luh Liu |