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Tsung-Wei Ke
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2020 – today
- 2024
- [c13]Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki:
Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving. CVPR 2024: 15342-15353 - [c12]Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu:
Learning Hierarchical Image Segmentation For Recognition and By Recognition. ICLR 2024 - [i10]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 abs/2402.06559 (2024) - [i9]Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki:
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations. CoRR abs/2402.10885 (2024) - 2023
- [j1]Dong-Jin Kim
, Tsung-Wei Ke
Local pseudo-attributes for long-tailed recognition. Pattern Recognit. Lett. 172: 51-57 (2023) - [c11]Zhou Xian, Nikolaos Gkanatsios, Théophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki:
ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation. CoRL 2023: 2323-2339 - [c10]Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki:
Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. NeurIPS 2023 - [i8]Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki:
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback. CoRR abs/2311.16102 (2023) - 2022
- [b1]Tsung-Wei Ke:
Learning Visual Groupings and Representations with Minimal Human Labels. University of California, Berkeley, USA, 2022 - [c9]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: 2561-2571 - [i7]Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu:
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR abs/2204.11432 (2022) - [i6]Tsung-Wei Ke, Stella X. Yu:
CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens. CoRR abs/2210.00314 (2022) - 2021
- [c8]Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu:
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. ICLR 2021 - [c7]Jyh-Jing Hwang, Tsung-Wei Ke, Stella X. Yu:
Contextual Image Parsing via Panoptic Segment Sorting. MULL @ ACM Multimedia 2021: 27-36 - [i5]Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu:
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. CoRR abs/2105.00957 (2021)
2010 – 2019
- 2019
- [c6]Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu:
Adversarial Structure Matching for Structured Prediction Tasks. CVPR 2019: 4056-4065 - 2018
- [c5]Tsung-Wei Ke
Adaptive Affinity Fields for Semantic Segmentation. ECCV (1) 2018: 605-621 - [i4]Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu:
Adaptive Affinity Field for Semantic Segmentation. CoRR abs/1803.10335 (2018) - [i3]Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu:
Adversarial Structure Matching Loss for Image Segmentation. CoRR abs/1805.07457 (2018) - 2017
- [c4]Tsung-Wei Ke, Michael Maire, Stella X. Yu:
Multigrid Neural Architectures. CVPR 2017: 4067-4075 - [c3]Tsung-Wei Ke, Stella X. Yu, David Whitney:
Mooney face classification and prediction by learning across tone. ICIP 2017: 2025-2029 - 2016
- [c2]Tsung-Wei Ke, Che-Wei Lin, Tyng-Luh Liu, Davi Geiger:
Variational Convolutional Networks for Human-Centric Annotations. ACCV (4) 2016: 120-135 - [c1]Tsung-Wei Ke, Tyng-Luh Liu:
Recursive reduction net for large-scale high-dimensional data. ICIP 2016: 1903-1907 - [i2]Tsung-Wei Ke, Michael Maire, Stella X. Yu:
Neural Multigrid. CoRR abs/1611.07661 (2016) - 2015
- [i1]Tsung-Yu Lin, Tsung-Wei Ke, Tyng-Luh Liu:
Implicit Sparse Code Hashing. CoRR abs/1512.00130 (2015)
Coauthor Index
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