Luming Tang (唐路明)

I am a CS PhD student at Cornell University starting from 2019, advised by Professor Bharath Hariharan. Before that, I received my Bachelor degree in Mathematics and Physics from Tsinghua University in 2018 where I was very fortunate to be advised by Professor Zhiyuan Liu. Currently I am interning at NVIDIA Research, working with Tsung-Yi Lin.

Email  /  Resume  /  GitHub  /  Google Scholar  /  LinkedIn

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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
Tech Report, 2022
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


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 / 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 / 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 / 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


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.

Teaching

Teaching Assistant:

Service

Conference Reviewer: CVPR'21 (Outstanding Reviewer), ICCV'21, CVPR'22, ECCV'22, CVPR'23

Journal Reviewer: TPAMI-SI (Learning with Fewer Labels), IJCV

PC member: AAAI'23

Misc.

  • Header avatars credit to Zeya Peng.
  • I love playing soccer and FIFA/PES games (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.

Design and source code modified based on Leonid Keselman and Jon Barron's website

last update: Sep, 2022