1 code implementation • 24 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.
1 code implementation • 3 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.
1 code implementation • 18 Apr 2024 • Lingxiao Li, Raaz Dwivedi, Lester Mackey
Modern compression methods can summarize a target distribution $\mathbb{P}$ more succinctly than i. i. d.
no code implementations • 28 Jan 2024 • Yihao Wang, Ruiqi Song, Lingxiao Li, Ru Zhang, Jianyi Liu
Based on the invisible characteristics of LS, we give three constraints that need to be met to design the function.
no code implementations • 3 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.
no code implementations • 12 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.
1 code implementation • ICCV 2023 • Lingxiao Li, Yi Zhang, Shuhui Wang
Existing methods suffer from the trade-off between the quality and diversity of generated images.
2 code implementations • 24 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.
1 code implementation • 28 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.
1 code implementation • 28 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.
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.
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.
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.
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.
no code implementations • 15 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.
no code implementations • 22 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.
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.