Research
My current interests lie at the intersection of machine learning and computer vision.
(* indicates equal contribution)
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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
CVPR, 2023
(Highlight)
paper
/ project page
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Visual Prompt Tuning
Menglin Jia*, Luming Tang*, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim
ECCV, 2022
paper
/ video
/ code
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Few-Shot Classification with Feature Map Reconstruction Networks
Davis Wertheimer*, Luming Tang*, Bharath Hariharan
CVPR, 2021
paper
/ video
/ code
/ poster
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Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
Luming Tang, Davis Wertheimer, Bharath Hariharan
CVPR, 2020
paper
/ video
/ code
/ slides
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Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder
Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
AAAI, 2018
paper
/ code
/ poster
/ slides
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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
ICCV, 2017
paper
/ dataset
/ poster
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Hierarchical Deep Recurrent Architecture for Video Understanding
Luming Tang, Boyang Deng, Haiyu Zhao, Shuai Yi
CVPR Workshop on Youtube-8M Large-Scale Video Understanding, 2017
paper
/ code
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Projects
Here're some interesting research or course projects I have worked on.
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Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners
Davis Wertheimer*, Luming Tang*, Bharath Hariharan
Tech Report, 2022
arxiv
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Few-Shot Learning in Long-Tailed Settings
Davis Wertheimer, Luming Tang, Dhruv Baijal, Pranjal Mittal, Anika Talwar, Bharath Hariharan
Tech Report, 2021
paper
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code
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Baseline implementation of DrQA and BERT finetuning on SQuAD 2.0
Luming Tang
CS 5740 Natural Language Processing, Assignment 4, 2020
code
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An Experimental Evaluation of Optimized Maximum Flow Implementations
Junxi Song, Luming Tang, Hongbo Zhang, Xiaoji Zhang (alphabetical order)
CS 6820 Analysis of Algorithms, Course Project, 2019
draft
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Garbage Collection Schedule Algorithm
Luming Tang*, Junxi Song*
CS 6820 Analysis of Algorithms, Assignment 2 Problem 4, 2019
problem
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our proof
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On the Regularization Balance in Autoencoder-Based Generative Models
Bin Dai, Luming Tang, David Wipf
Tech Report, 2019
draft
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supplementary
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OpenNRE: An Open-Source Package for Neural Relation Extraction
Tianyu Gao, Xu Han, Shulin Cao, Luming Tang, Yankai Lin, Zhiyuan Liu
THUNLP Github, 2018
code
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Experience
I am very fortunate to have chance to work in multiple great research groups and spend enjoyable time with so many amazing advisors, mentors and collaborators.
- May 2019 - Now: Graphics and Vision Group, Cornell
Graduate Research Assistant, advised by Bharath Hariharan, collaborate with Davis Wertheimer, Menglin Jia
- May 2022 - Feb 2023: NVIDIA Research
Research Intern, mentored by Tsung-Yi Lin, collaborated with Chen-Hsuan Lin, Ming-Yu Liu, Xiaohui Zeng, Karsten Kreis, Xun Huang, Jun Gao, Towaki Takikawa
- May 2021 - Nov 2021: Perception Group, Waymo
Intern, mentored by Shiwei Sheng, Andy Tsai, Ruichi Yu, collaborated with Frederick Liu, Xu Chen, Charles Qi
- Sep 2018 - Dec 2018: Visual Computing Group, Microsoft Research Asia
Research Intern, mentored by David Wipf, collaborated with Bin Dai
- Sep 2016 - Jun 2018: Natural Language Processing Lab, Tsinghua
Undergraduate Research Assistant, advised by Zhiyuan Liu
- Jun 2017 - Sep 2017: Computational Sustainability Lab, Cornell
Research Intern, advised by Carla Gomes, collaborated with Yexiang Xue, Di Chen
- Dec 2016 - Jun 2017: SenseTime
Research Intern, mentored by Shuai Yi, collaborated with Zhongdao Wang, Haiyu Zhao, Boyang Deng
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Service
Teaching Assistant:
PhD admission committee student volunteer: 2020, 2023
Conference Reviewer: CVPR'21 (Outstanding Reviewer), ICCV'21, CVPR'22, ECCV'22, CVPR'23, ICCV'23, ICML'23
Journal Reviewer: TPAMI-SI (Learning with Fewer Labels), IJCV
PC member: AAAI'23
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Misc.
- Header avatars credit to Zeya Peng.
- I love playing soccer and FIFA (FIFA'20 Season Division 1 with Title, FIFA'22 Ultimate Team Division 3).
- Meet the most adorable S'more and check out her instagram! Her Chinese name is 屎妹 :) This is her best friend, Shiba a.k.a. 屎宝 lol.
- I am from Jiaozuo, a beautiful small city in Henan, China.
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