Tsung-Wei Ke

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Semantic Segmentation

Neural Architectures

Top Venues

Publications

Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations. CoRR (2024)
Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following. CoRR (2024)
Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
Learning Hierarchical Image Segmentation For Recognition and By Recognition. ICLR (2024)
Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. NeurIPS (2023)
Dong-Jin Kim, Tsung-Wei Ke, Stella X. Yu
Local pseudo-attributes for long-tailed recognition. Pattern Recognit. Lett. 172 (2023)
Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. CoRR (2023)
Zhou Xian, Nikolaos Gkanatsios, Théophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki
ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation. CoRL (2023)
Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CVPR (2022)
Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR (2022)
Tsung-Wei Ke, Stella X. Yu
CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens. CoRR (2022)
Jyh-Jing Hwang, Tsung-Wei Ke, Stella X. Yu
Contextual Image Parsing via Panoptic Segment Sorting. MULL @ ACM Multimedia (2021)
Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. CoRR (2021)
Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. ICLR (2021)
Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu
Adversarial Structure Matching for Structured Prediction Tasks. CVPR (2019)
Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu
Adaptive Affinity Field for Semantic Segmentation. CoRR (2018)
Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu
Adaptive Affinity Fields for Semantic Segmentation. ECCV (1) (2018)
Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu
Adversarial Structure Matching Loss for Image Segmentation. CoRR (2018)
Tsung-Wei Ke, Michael Maire, Stella X. Yu
Multigrid Neural Architectures. CVPR (2017)
Tsung-Wei Ke, Stella X. Yu, David Whitney
Mooney face classification and prediction by learning across tone. ICIP (2017)
Tsung-Wei Ke, Michael Maire, Stella X. Yu
Neural Multigrid. CoRR (2016)
Tsung-Wei Ke, Che-Wei Lin, Tyng-Luh Liu, Davi Geiger
Variational Convolutional Networks for Human-Centric Annotations. ACCV (4) (2016)
Tsung-Wei Ke, Tyng-Luh Liu
Recursive reduction net for large-scale high-dimensional data. ICIP (2016)
Tsung-Yu Lin, Tsung-Wei Ke, Tyng-Luh Liu
Implicit Sparse Code Hashing. CoRR (2015)