Luming Tang

According to our database, Luming Tang authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

RealFill: Reference-Driven Generation for Authentic Image Completion.

Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein

CoRR, 2023

Emergent Correspondence from Image Diffusion.

Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan

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

Magic3D: High-Resolution Text-to-3D Content Creation.

Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners.

Davis Wertheimer, Luming Tang, Bharath Hariharan

CoRR, 2022

Visual Prompt Tuning.

Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Few-Shot Classification With Feature Map Reconstruction Networks.

Davis Wertheimer, Luming Tang, Bharath Hariharan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

Davis Wertheimer, Luming Tang, Bharath Hariharan

CoRR, 2020

Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition.

Luming Tang, Davis Wertheimer, Bharath Hariharan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder.

Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Hierarchical Deep Recurrent Architecture for Video Understanding.

Luming Tang, Boyang Deng, Haiyu Zhao, Shuai Yi

CoRR, 2017

Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification.

Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan, Shengjin Wang, Hongsheng Li, Xiaogang Wang

Proceedings of the IEEE International Conference on Computer Vision, 2017