Xiaofeng Liu

is this you? claim profile

0 followers
Harvard University ∙ Carnegie Mellon University

Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving

Semantic segmentation is important for many real-world systems, e.g., au...
08/11/2020 ∙ by Xiaofeng Liu, et al. ∙ 0 ∙ share

read it
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation

This paper targets on learning-based novel view synthesis from a single ...
07/13/2020 ∙ by Xiaofeng Liu, et al. ∙ 0 ∙ share

read it
Disentanglement for Discriminative Visual Recognition

Recent successes of deep learning-based recognition rely on maintaining ...
06/14/2020 ∙ by Xiaofeng Liu, et al. ∙ 0 ∙ share

read it
TPPO: A Novel Trajectory Predictor with Pseudo Oracle

Forecasting pedestrian trajectories in dynamic scenes remains a critical...
02/04/2020 ∙ by Biao Yang, et al. ∙ 4 ∙ share

read it
A Novel Graph based Trajectory Predictor with Pseudo Oracle

Pedestrian trajectory prediction in dynamic scenes remains a challenging...
02/02/2020 ∙ by Biao Yang, et al. ∙ 7 ∙ share

read it
Towards Disentangled Representations for Human Retargeting by Multi-view Learning

We study the problem of learning disentangled representations for data a...
12/12/2019 ∙ by Chao Yang, et al. ∙ 23 ∙ share

read it
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

AI Safety is a major concern in many deep learning applications such as ...
11/18/2019 ∙ by Tong Che, et al. ∙ 26 ∙ share

read it
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis

The labels in medical diagnosis task are usually discrete and successive...
11/03/2019 ∙ by Xiaofeng Liu, et al. ∙ 26 ∙ share

read it
Conservative Wasserstein Training for Pose Estimation

This paper targets the task with discrete and periodic class labels (e.g...
11/03/2019 ∙ by Xiaofeng Liu, et al. ∙ 0 ∙ share

read it
Confidence Regularized Self-Training

Recent advances in domain adaptation show that deep self-training presen...
08/26/2019 ∙ by Yang Zou, et al. ∙ 13 ∙ share

read it
Attention Control with Metric Learning Alignment for Image Set-based Recognition

This paper considers the problem of image set-based face verification an...
08/05/2019 ∙ by Xiaofeng Liu, et al. ∙ 2 ∙ share

read it
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition

We consider the problem of comparing the similarity of image sets with v...
08/03/2019 ∙ by Xiaofeng Liu, et al. ∙ 1 ∙ share

read it
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets

This paper targets the problem of image set-based face verification and ...
07/05/2019 ∙ by Xiaofeng Liu, et al. ∙ 0 ∙ share

read it
Control with Distributed Deep Reinforcement Learning: Learn a Better Policy

Distributed approach is a very effective method to improve training effi...
11/26/2018 ∙ by Qihao Liu, et al. ∙ 0 ∙ share

read it
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart

Recent advances in deep generative models have shown promising potential...
03/23/2018 ∙ by Chao Yang, et al. ∙ 0 ∙ share

read it
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpar

Recent advances in deep generative models have shown promising potential...
03/23/2018 ∙ by Chao Yang, et al. ∙ 0 ∙ share

read it
Fast Online Clustering with Randomized Skeleton Sets

We present a new fast online clustering algorithm that reliably recovers...
06/10/2015 ∙ by Krzysztof Choromanski, et al. ∙ 0 ∙ share

read it

Xiaofeng Liu

Featured Co-authors

Yoshua Bengio

Caiming Xiong

C. -C. Jay Kuo

Chao Yang

Yang Chen

Sanjiv Kumar

Krzysztof Choromanski

Xu Han

Song Bai

Zhiding Yu

Peng Ding

Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving

AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation

Disentanglement for Discriminative Visual Recognition

TPPO: A Novel Trajectory Predictor with Pseudo Oracle

A Novel Graph based Trajectory Predictor with Pseudo Oracle

Towards Disentangled Representations for Human Retargeting by Multi-view Learning

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis

Conservative Wasserstein Training for Pose Estimation

Confidence Regularized Self-Training

Attention Control with Metric Learning Alignment for Image Set-based Recognition

Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition

Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets

Control with Distributed Deep Reinforcement Learning: Learn a Better Policy

Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart

Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpar

Fast Online Clustering with Randomized Skeleton Sets