Search Results for author: Lu Tian

Found 14 papers, 2 papers with code

ProgressFace: Scale-Aware Progressive Learning for Face Detection

no code implementations ECCV 2020 Jiashu Zhu, Dong Li, Tiantian Han, Lu Tian, Yi Shan

In this work, we propose a novel scale-aware progressive training mechanism to address large scale variations across faces.

Curriculum Learning Face Detection

RankDetNet: Delving Into Ranking Constraints for Object Detection

no code implementations CVPR 2021 Ji Liu, Dong Li, Rongzhang Zheng, Lu Tian, Yi Shan

To this end, we comprehensively investigate three types of ranking constraints, i. e., global ranking, class-specific ranking and IoU-guided ranking losses.

3D Object Detection Classification +1

Cross-Dataset Collaborative Learning for Semantic Segmentation

no code implementations21 Mar 2021 Li Wang, Dong Li, Yousong Zhu, Lu Tian, Yi Shan

Particularly, with the same architecture of PSPNet (ResNet-18), our method outperforms the single-dataset baseline by 5. 65\%, 6. 57\%, and 5. 79\% of mIoU on the validation sets of Cityscapes, BDD100K, CamVid, respectively.

Semantic Segmentation

Improving Low-Precision Network Quantization via Bin Regularization

no code implementations ICCV 2021 Tiantian Han, Dong Li, Ji Liu, Lu Tian, Yi Shan

Such bin regularization (BR) mechanism encourages the weight distribution of each quantization bin to be sharp and approximate to a Dirac delta distribution ideally.

Quantization

Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling

1 code implementation19 Oct 2020 Jessica Gronsbell, Molei Liu, Lu Tian, Tianxi Cai

In step II, we augment the initial imputations to ensure the consistency of the resulting estimators regardless of the specification of the prediction model or the imputation model.

Imputation

Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data

no code implementations15 Dec 2019 Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto, Stefan Braune, Lu Tian

Motivated by the need of modeling the number of relapses in multiple sclerosis patients, where the ratio of relapse rates is a natural choice of the treatment effect, we propose to estimate the conditional average treatment effect (CATE) as the ratio of expected potential outcomes, and derive a doubly robust estimator of this CATE in a semiparametric model of treatment-covariate interactions.

IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses

1 code implementation22 Sep 2019 Zhigang Li, Lu Tian, A. James O'Malley, Margaret R. Karagas, Anne G. Hoen, Brock C. Christensen, Juliette C. Madan, Quran Wu, Raad Z. Gharaibeh, Christian Jobin, Hongzhe Li

The target of inference in microbiome analyses is usually relative abundance (RA) because RA in a sample (e. g., stool) can be considered as an approximation of RA in an entire ecosystem (e. g., gut).

Applications

Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification

no code implementations8 Apr 2017 Lu Tian, Shengjin Wang

Person re-identification is generally divided into two part: first how to represent a pedestrian by discriminative visual descriptors and second how to compare them by suitable distance metrics.

Metric Learning Person Re-Identification

Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models

no code implementations29 Dec 2016 Pan Xu, Lu Tian, Quanquan Gu

In detail, the proposed method distributes the $d$-dimensional data of size $N$ generated from a transelliptical graphical model into $m$ worker machines, and estimates the latent precision matrix on each worker machine based on the data of size $n=N/m$.

Communication-efficient Distributed Sparse Linear Discriminant Analysis

no code implementations15 Oct 2016 Lu Tian, Quanquan Gu

We propose a communication-efficient distributed estimation method for sparse linear discriminant analysis (LDA) in the high dimensional regime.

Model Selection

Scalable Person Re-Identification: A Benchmark

no code implementations ICCV 2015 Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian

As a minor contribution, inspired by recent advances in large-scale image search, this paper proposes an unsupervised Bag-of-Words descriptor.

Image Retrieval Person Re-Identification

Person Re-identification Meets Image Search

no code implementations7 Feb 2015 Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jiahao Bu, Qi Tian

In the light of recent advances in image search, this paper proposes to treat person re-identification as an image search problem.

Image Retrieval Person Re-Identification

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