1 code implementation • 26 Oct 2021 • Yu-Ying Liu, Alexander Moreno, Maxwell A. Xu, Shuang Li, Jena C. McDaniel, Nancy C. Brady, Agata Rozga, Fuxin Li, Le Song, James M. Rehg
We solve the first challenge by reformulating the estimation problem as an equivalent discrete time-inhomogeneous hidden Markov model.
no code implementations • ICCV 2021 • Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen
We present MetaUVFS as the first Unsupervised Meta-learning algorithm for Video Few-Shot action recognition.
no code implementations • 14 Sep 2021 • Hung Nguyen, Chanho Kim, Fuxin Li
We propose a novel visual memory network architecture for the learning and inference problem in the spatial-temporal domain.
2 code implementations • 29 Jan 2021 • Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong
Our second user study investigates if counterfactual state explanations can help non-expert participants identify a flawed agent; we compare against a baseline approach based on a nearest neighbor explanation which uses images from the actual game.
2 code implementations • 31 Dec 2020 • Saeed Khorram, Tyler Lawson, Fuxin Li
In this paper, we present iGOS++, a framework to generate saliency maps that are optimized for altering the output of the black-box system by either removing or preserving only a small fraction of the input.
no code implementations • 27 Sep 2019 • Matthew L. Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong
In this work, we introduce the concept of a counterfactual state to help humans gain a better understanding of what would need to change (minimally) in an Atari game image for the agent to choose a different action.
no code implementations • 18 Dec 2018 • Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli
For this purpose, we developed a user interface for "interactive naming," which allows a human annotator to manually cluster significant activation maps in a test set into meaningful groups called "visual concepts".
no code implementations • ECCV 2018 • Chanho Kim, Fuxin Li, James M. Rehg
We also propose novel data augmentation approaches to efficiently train recurrent models that score object tracks on both appearance and motion.
no code implementations • ECCV 2018 • Lawrence Neal, Matthew Olson, Xiaoli Fern, Weng-Keen Wong, Fuxin Li
In open set recognition, a classifier must label instances of known classes while detecting instances of unknown classes not encountered during training.
no code implementations • 3 Aug 2018 • Rahul Sawhney, Fuxin Li, Henrik I. Christensen, Charles L. Isbell
We show how it can be employed to select a diverse set of data frames which have structurally similar content, and how to validate whether views with similar geometric content are from the same scene.
1 code implementation • 27 Jul 2018 • Christopher Z. Eddy, Xinyao Wang, Fuxin Li, Bo Sun
As a result, cell morphodynamics is mapped into temporal evolution of morphological phenotypes.
no code implementations • 15 Sep 2017 • Zhongang Qi, Saeed Khorram, Fuxin Li
The XNN works by learning a nonlinear embedding of a high-dimensional activation vector of a deep network layer into a low-dimensional explanation space while retaining faithfulness i. e., the original deep learning predictions can be constructed from the few concepts extracted by our explanation network.
no code implementations • CVPR 2018 • Peng Lei, Fuxin Li, Sinisa Todorovic
Using deep learning, this paper addresses the problem of joint object boundary detection and boundary motion estimation in videos, which we named boundary flow estimation.
no code implementations • ICCV 2017 • Xin Li, Fuxin Li
A cascade classifier was designed to efficiently detect adversarials.
no code implementations • 27 Jul 2016 • Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert
We propose a continuous optimization method for solving dense 3D scene flow problems from stereo imagery.
no code implementations • ICCV 2015 • Chanho Kim, Fuxin Li, Arridhana Ciptadi, James M. Rehg
This paper revisits the classical multiple hypotheses tracking (MHT) algorithm in a tracking-by-detection framework.
no code implementations • ICCV 2015 • Ahmad Humayun, Fuxin Li, James M. Rehg
We propose a new energy minimization framework incorporating geodesic distances between segments which solves this problem.
no code implementations • NeurIPS 2015 • Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg
The Continuous-Time Hidden Markov Model (CT-HMM) is an attractive approach to modeling disease progression due to its ability to describe noisy observations arriving irregularly in time.
no code implementations • CVPR 2015 • Zhengyang Wu, Fuxin Li, Rahul Sukthankar, James M. Rehg
We propose a robust algorithm to generate video segment proposals.
no code implementations • 15 Nov 2014 • Rahul Sawhney, Fuxin Li, Henrik I. Christensen
A fundamental challenge to sensory processing tasks in perception and robotics is the problem of obtaining data associations across views.
no code implementations • CVPR 2014 • Ahmad Humayun, Fuxin Li, James M. Rehg
By precomputing a graph which can be used for parametric min-cuts over different seeds, we speed up the generation of the segment pool.
no code implementations • CVPR 2013 • Fuxin Li, Joao Carreira, Guy Lebanon, Cristian Sminchisescu
In this paper we present an inference procedure for the semantic segmentation of images.
no code implementations • 18 Jun 2012 • Fuxin Li, Guy Lebanon, Cristian Sminchisescu
We propose a new analytical approximation to the $\chi^2$ kernel that converges geometrically.
no code implementations • 8 Feb 2012 • Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan Essa
Sentiment analysis predicts the presence of positive or negative emotions in a text document.
no code implementations • NeurIPS 2010 • Fuxin Li, Cristian Sminchisescu
In this work, we propose an approach that recasts it as a convex likelihood ratio estimation problem.