Tsung-Wei Ke

According to our database, Tsung-Wei Ke authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki

CoRR, 2024

Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following.

Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki

CoRR, 2024

Learning Hierarchical Image Segmentation For Recognition and By Recognition.

Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Local pseudo-attributes for long-tailed recognition.

Dong-Jin Kim, Tsung-Wei Ke, Stella X. Yu

Pattern Recognit. Lett., August, 2023

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback.

Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki

CoRR, 2023

Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback.

Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation.

Zhou Xian, Nikolaos Gkanatsios, Théophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki

Proceedings of the Conference on Robot Learning, 2023

2022

Learning Visual Groupings and Representations with Minimal Human Labels

Tsung-Wei Ke

PhD thesis, 2022

CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens.

Tsung-Wei Ke, Stella X. Yu

CoRR, 2022

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers.

Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Contextual Image Parsing via Panoptic Segment Sorting.

Jyh-Jing Hwang, Tsung-Wei Ke, Stella X. Yu

Proceedings of the MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, 2021

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning.

Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Adversarial Structure Matching for Structured Prediction Tasks.

Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Adversarial Structure Matching Loss for Image Segmentation.

Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu

CoRR, 2018

Adaptive Affinity Field for Semantic Segmentation.

Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu

CoRR, 2018

Adaptive Affinity Fields for Semantic Segmentation.

Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Mooney face classification and prediction by learning across tone.

Tsung-Wei Ke, Stella X. Yu, David Whitney

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Multigrid Neural Architectures.

Tsung-Wei Ke, Michael Maire, Stella X. Yu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Neural Multigrid.

Tsung-Wei Ke, Michael Maire, Stella X. Yu

CoRR, 2016

Recursive reduction net for large-scale high-dimensional data.

Tsung-Wei Ke, Tyng-Luh Liu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Variational Convolutional Networks for Human-Centric Annotations.

Tsung-Wei Ke, Che-Wei Lin, Tyng-Luh Liu, Davi Geiger

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Implicit Sparse Code Hashing.

Tsung-Yu Lin, Tsung-Wei Ke, Tyng-Luh Liu

CoRR, 2015