Search Results for author: Lingxiao Li

Found 17 papers, 12 papers with code

BIFRÖST: 3D-Aware Image compositing with Language Instructions

1 code implementation24 Oct 2024 Lingxiao Li, Kaixiong Gong, Weihong Li, Xili Dai, Tao Chen, Xiaojun Yuan, Xiangyu Yue

This paper introduces Bifr\"ost, a novel 3D-aware framework that is built upon diffusion models to perform instruction-based image composition.

counterfactual Image Harmonization

radarODE: An ODE-Embedded Deep Learning Model for Contactless ECG Reconstruction from Millimeter-Wave Radar

1 code implementation3 Aug 2024 Yuanyuan Zhang, Runwei Guan, Lingxiao Li, Rui Yang, Yutao Yue, Eng Gee Lim

Radar-based contactless cardiac monitoring has become a popular research direction recently, but the fine-grained electrocardiogram (ECG) signal is still hard to reconstruct from millimeter-wave radar signal.

Decoder

Debiased Distribution Compression

1 code implementation18 Apr 2024 Lingxiao Li, Raaz Dwivedi, Lester Mackey

Modern compression methods can summarize a target distribution $\mathbb{P}$ more succinctly than i. i. d.

UP4LS: User Profile Constructed by Multiple Attributes for Enhancing Linguistic Steganalysis

no code implementations3 Nov 2023 Yihao Wang, Ruiqi Song, Lingxiao Li, Yifan Tang, Ru Zhang, Jianyi Liu

The extracted features are mapped to high-dimensional user features via the deep-learning model of the method to be improved.

Attribute Deep Learning +3

Monitoring and Adapting ML Models on Mobile Devices

no code implementations12 May 2023 Wei Hao, Zixi Wang, Lauren Hong, Lingxiao Li, Nader Karayanni, Chengzhi Mao, Junfeng Yang, Asaf Cidon

ML models are increasingly being pushed to mobile devices, for low-latency inference and offline operation.

Sampling with Mollified Interaction Energy Descent

2 code implementations24 Oct 2022 Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon

These energies rely on mollifier functions -- smooth approximations of the Dirac delta originated from PDE theory.

Wasserstein Iterative Networks for Barycenter Estimation

1 code implementation28 Jan 2022 Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev

Wasserstein barycenters have become popular due to their ability to represent the average of probability measures in a geometrically meaningful way.

Learning Proximal Operators to Discover Multiple Optima

1 code implementation28 Jan 2022 Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan Greenewald, Mikhail Yurochkin, Justin Solomon

We present an end-to-end method to learn the proximal operator of a family of training problems so that multiple local minima can be quickly obtained from initial guesses by iterating the learned operator, emulating the proximal-point algorithm that has fast convergence.

object-detection Object Detection

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

6 code implementations NeurIPS 2021 Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Alexander Filippov, Evgeny Burnaev

Despite the recent popularity of neural network-based solvers for optimal transport (OT), there is no standard quantitative way to evaluate their performance.

Image Generation

Large-Scale Wasserstein Gradient Flows

3 code implementations NeurIPS 2021 Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev

Specifically, Fokker-Planck equations, which model the diffusion of probability measures, can be understood as gradient descent over entropy functionals in Wasserstein space.

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization

2 code implementations ICLR 2021 Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev

Wasserstein barycenters provide a geometric notion of the weighted average of probability measures based on optimal transport.

Continuous Regularized Wasserstein Barycenters

1 code implementation NeurIPS 2020 Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon

Leveraging a new dual formulation for the regularized Wasserstein barycenter problem, we introduce a stochastic algorithm that constructs a continuous approximation of the barycenter.

Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks

no code implementations15 Jun 2020 Lingxiao Li, Muhammad Aamir Cheema, Hua Lu, Mohammed Eunus Ali, Adel N. Toosi

Motivated by this, in this paper, we present a user study conducted on the road networks of Melbourne, Dhaka and Copenhagen that compares the quality (as perceived by the users) of the alternative routes generated by four of the most popular existing approaches including the routes provided by Google Maps.

SentPWNet: A Unified Sentence Pair Weighting Network for Task-specific Sentence Embedding

no code implementations22 May 2020 Li Zhang, Han Wang, Lingxiao Li

Our model, SentPWNet, exploits the neighboring spatial distribution of each sentence as locality weight to indicate the informative level of sentence pair.

Metric Learning Sentence +3

Supervised Fitting of Geometric Primitives to 3D Point Clouds

2 code implementations CVPR 2019 Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas Guibas

Fitting geometric primitives to 3D point cloud data bridges a gap between low-level digitized 3D data and high-level structural information on the underlying 3D shapes.

Shape Representation Of 3D Point Clouds

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