Tsung-Wei Ke - RankMe

32 papers A* 7B 2Misc 2Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	COT-FM: Cluster-wise Optimal Transport Flow Matching. CoRR Chiensheng Chiang, Kuan-Hsun Tu, Jia-Wei Liao, Cheng-Fu Chou, Tsung-Wei Ke
2025	J	`jnl`	3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation. CoRR Nikolaos Gkanatsios, Jiahe Xu, Matthew Bronars, Arsalan Mousavian, Tsung-Wei Ke, Katerina Fragkiadaki
2025	J	`jnl`	DexMan: Learning Bimanual Dexterous Manipulation from Human and Generated Videos. CoRR Jhen Hsieh, Kuan-Hsun Tu, Kuo-Han Hung, Tsung-Wei Ke
2025	J	`jnl`	Information Seeking for Robust Decision Making under Partial Observability. CoRR Djengo Cyun-Jyun Fang, Tsung-Wei Ke
2025	J	`jnl`	RobotArena ∞: Scalable Robot Benchmarking via Real-to-Sim Translation. CoRR Yash Jangir, Yidi Zhang, Kashu Yamazaki, Chenyu Zhang, Kuan-Hsun Tu, Tsung-Wei Ke, Lei Ke, Yonatan Bisk, Katerina Fragkiadaki
2025	J	`jnl`	See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation. CoRR Chih Yao Hu, Yang-Sen Lin, Yuna Lee, Chih-Hai Su, Jie-Ying Lee, Shr-Ruei Tsai, Chin-Yang Lin, Kuan-Wen Chen, Tsung-Wei Ke, Yu-Lun Liu
2024	Misc	`conf`	3D Diffuser Actor: Policy Diffusion with 3D Scene Representations. CoRL Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
2024	J	`jnl`	3D Diffuser Actor: Policy Diffusion with 3D Scene Representations. CoRR Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
2024	A*	`conf`	Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving. CVPR Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki
2024	J	`jnl`	Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following. CoRR Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki
2024	A*	`conf`	Learning Hierarchical Image Segmentation For Recognition and By Recognition. ICLR Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
2023	Misc	`conf`	ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation. CoRL Zhou Xian, Nikolaos Gkanatsios, Théophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki
2023	J	`jnl`	Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback. CoRR Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
2023	J	`jnl`	Local pseudo-attributes for long-tailed recognition. Pattern Recognit. Lett. Dong-Jin Kim, Tsung-Wei Ke, Stella X. Yu
2023	A*	`conf`	Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. NeurIPS Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
2022	J	`jnl`	CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens. CoRR Tsung-Wei Ke, Stella X. Yu
2022	—	`—`	Learning Visual Groupings and Representations with Minimal Human Labels Tsung-Wei Ke
2022	A*	`conf`	Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CVPR Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
2022	J	`jnl`	Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
2021	—	`conf`	Contextual Image Parsing via Panoptic Segment Sorting. MULL @ ACM Multimedia Jyh-Jing Hwang, Tsung-Wei Ke, Stella X. Yu
2021	A*	`conf`	Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. ICLR Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu
2021	J	`jnl`	Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. CoRR Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu
2019	A*	`conf`	Adversarial Structure Matching for Structured Prediction Tasks. CVPR Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu
2018	J	`jnl`	Adaptive Affinity Field for Semantic Segmentation. CoRR Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu
2018	—	`conf`	Adaptive Affinity Fields for Semantic Segmentation. ECCV (1) Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu
2018	J	`jnl`	Adversarial Structure Matching Loss for Image Segmentation. CoRR Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu
2017	B	`conf`	Mooney face classification and prediction by learning across tone. ICIP Tsung-Wei Ke, Stella X. Yu, David Whitney
2017	A*	`conf`	Multigrid Neural Architectures. CVPR Tsung-Wei Ke, Michael Maire, Stella X. Yu
2016	J	`jnl`	Neural Multigrid. CoRR Tsung-Wei Ke, Michael Maire, Stella X. Yu
2016	B	`conf`	Recursive reduction net for large-scale high-dimensional data. ICIP Tsung-Wei Ke, Tyng-Luh Liu
2016	—	`conf`	Variational Convolutional Networks for Human-Centric Annotations. ACCV (4) Tsung-Wei Ke, Che-Wei Lin, Tyng-Luh Liu, Davi Geiger
2015	J	`jnl`	Implicit Sparse Code Hashing. CoRR Tsung-Yu Lin, Tsung-Wei Ke, Tyng-Luh Liu