Chenxi Liu | DeepAI

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Featured Co-authors

Yan Wang
193 publications
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123 publications
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109 publications
Lingxi Xie
104 publications
Tony Q. S. Quek
99 publications
Zhe Lin
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Shi Jin
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Wen Gao
83 publications

∙ 01/25/2023

DEJA VU: Continual Model Generalization For Unseen Domains

In real-world applications, deep learning models often run in non-statio...

5 Chenxi Liu, et al. ∙

∙ 10/24/2022

LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations

Data augmentations are important in training high-performance 3D object ...

0 Zhaoqi Leng, et al. ∙

∙ 10/13/2022

SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds

3D object detection in point clouds is a core component for modern robot...

0 Pei Sun, et al. ∙

∙ 10/10/2022

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

Developing neural models that accurately understand objects in 3D point ...

0 Chenxi Liu, et al. ∙

∙ 05/11/2022

Multi-Class 3D Object Detection with Single-Class Supervision

While multi-class 3D detectors are needed in many robotics applications,...

0 Mao Ye, et al. ∙

∙ 04/26/2022

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions

Cross-entropy loss and focal loss are the most common choices when train...

0 Zhaoqi Leng, et al. ∙

∙ 11/11/2021

ConTesse: Accurate Occluding Contours for Smooth Surfaces

This paper proposes a method for computing the visible occluding contour...

0 Chenxi Liu, et al. ∙

∙ 06/15/2021

Scene Transformer: A unified multi-task model for behavior prediction and planning

Predicting the future motion of multiple agents is necessary for plannin...

7 Jiquan Ngiam, et al. ∙

∙ 06/10/2021

Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement

Unsupervised learning methods have recently shown their competitiveness ...

0 Zefan Li, et al. ∙

∙ 04/20/2021

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

As autonomous driving systems mature, motion forecasting has received in...

27 Scott Ettinger, et al. ∙

∙ 02/25/2021

Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network

In this paper, we investigate a private and cache-enabled unmanned aeria...

0 Peng Yang, et al. ∙

∙ 03/26/2020

Are Labels Necessary for Neural Architecture Search?

Existing neural network architectures in computer vision — whether desig...

14 Chenxi Liu, et al. ∙

∙ 02/25/2020

Enhancing Physical Layer Security of Random Caching in Large-Scale Multi-Antenna Heterogeneous Wireless Networks

In this paper, we propose a novel secure random caching scheme for large...

0 Wanli Wen, et al. ∙

∙ 11/25/2019

Identifying Model Weakness with Adversarial Examiner

Machine learning models are usually evaluated according to the average c...

0 Michelle Shu, et al. ∙

∙ 11/21/2019

Rethinking Normalization and Elimination Singularity in Neural Networks

In this paper, we study normalization methods for neural networks from t...

0 Siyuan Qiao, et al. ∙

∙ 06/06/2019

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation

Deep learning algorithms, in particular 2D and 3D fully convolutional ne...

1 Zhuotun Zhu, et al. ∙

∙ 03/25/2019

Weight Standardization

In this paper, we propose Weight Standardization (WS) to accelerate deep...

0 Siyuan Qiao, et al. ∙

∙ 01/10/2019

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Recently, Neural Architecture Search (NAS) has successfully identified n...

38 Chenxi Liu, et al. ∙

∙ 01/03/2019

CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions

Referring object detection and referring image segmentation are importan...

12 Runtao Liu, et al. ∙

∙ 05/10/2018

Deep Nets: What have they ever done for Vision?

This is an opinion paper about the strengths and weaknesses of Deep Nets...

0 Alan L. Yuille, et al. ∙

∙ 03/25/2018

Scene Graph Parsing as Dependency Parsing

In this paper, we study the problem of parsing structured knowledge grap...

0 Yu-Siang Wang, et al. ∙

∙ 03/20/2018

Self-Controlled Jamming Resilient Design Using Physical Layer Secret Keys

Direct-sequence spread spectrum (DSSS) has been recognized as an effecti...

0 Jay Prakash, et al. ∙

∙ 12/02/2017

Progressive Neural Architecture Search

We propose a method for learning CNN structures that is more efficient t...

0 Chenxi Liu, et al. ∙

∙ 11/20/2017

Adversarial Attacks Beyond the Image Space

Generating adversarial examples is an intriguing problem and an importan...

0 Xiaohui Zeng, et al. ∙

∙ 06/12/2017

Few-Shot Image Recognition by Predicting Parameters from Activations

In this paper, we are interested in the few-shot learning problem. In pa...

0 Siyuan Qiao, et al. ∙

∙ 03/23/2017

Recurrent Multimodal Interaction for Referring Image Segmentation

In this paper we are interested in the problem of image segmentation giv...

0 Chenxi Liu, et al. ∙

∙ 03/20/2017

SORT: Second-Order Response Transform for Visual Recognition

In this paper, we reveal the importance and benefits of introducing seco...

0 Yan Wang, et al. ∙

∙ 05/31/2016

Attention Correctness in Neural Image Captioning

Attention mechanisms have recently been introduced in deep learning for ...

0 Chenxi Liu, et al. ∙