Search Results for author: Shaohua Li

Found 21 papers, 10 papers with code

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

1 code implementation CVPR 2022 Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong liu, Rick Goh, Hongyuan Zhu

This is mainly because the correlation volume, the basis of pixel matching, is computed as the dot product of the convolutional features of the two images.

Optical Flow Estimation

Few-Shot Domain Adaptation with Polymorphic Transformers

1 code implementation10 Jul 2021 Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong liu, Daniel Ting, Rick Siow Mong Goh

Thus, the chance of overfitting the annotations is greatly reduced, and the model can perform robustly on the target domain after being trained on a few annotated images.

Domain Adaptation Segmentation

Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations

1 code implementation12 Apr 2020 Shaohua Li, Xiuchao Sui, Jie Fu, Yong liu, Rick Siow Mong Goh

To make CNNs more invariant to transformations, we propose "Feature Lenses", a set of ad-hoc modules that can be easily plugged into a trained model (referred to as the "host model").

RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization

no code implementations11 Dec 2019 Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong liu, Wei Jing

The proposed RoboCoDraw system takes a real human face image as input, converts it to a stylized avatar, then draws it with a robotic arm.

Robotics Graphics

Multi-Instance Multi-Scale CNN for Medical Image Classification

no code implementations4 Jul 2019 Shaohua Li, Yong liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh

Deep learning for medical image classification faces three major challenges: 1) the number of annotated medical images for training are usually small; 2) regions of interest (ROIs) are relatively small with unclear boundaries in the whole medical images, and may appear in arbitrary positions across the x, y (and also z in 3D images) dimensions.

General Classification Image Classification +2

Feature Aggregation Network for Video Face Recognition

no code implementations6 May 2019 Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shaohua Li, Shiguo Lian

We make the following contributions: first, we propose a meta attention-based aggregation scheme which adaptively and fine-grained weighs the feature along each feature dimension among all frames to form a compact and discriminative representation.

Face Recognition

Facial Pose Estimation by Deep Learning from Label Distributions

no code implementations30 Apr 2019 Zhaoxiang Liu, Zezhou Chen, Jinqiang Bai, Shaohua Li, Shiguo Lian

Facial pose estimation has gained a lot of attentions in many practical applications, such as human-robot interaction, gaze estimation and driver monitoring.

Gaze Estimation Pose Estimation

Enhanced Attacks on Defensively Distilled Deep Neural Networks

no code implementations16 Nov 2017 Yujia Liu, Weiming Zhang, Shaohua Li, Nenghai Yu

In this paper, we first propose the epsilon-neighborhood attack, which can fool the defensively distilled networks with 100% success rate in the white-box setting, and it is fast to generate adversarial examples with good visual quality.

Face Recognition General Classification +2

Laplacian-Steered Neural Style Transfer

3 code implementations5 Jul 2017 Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua

However in the traditional optimization objective, low-level features of the content image are absent, and the low-level features of the style image dominate the low-level detail structures of the new image.

Image Generation Style Transfer

Dirichlet-vMF Mixture Model

1 code implementation24 Feb 2017 Shaohua Li

This document is about the multi-document Von-Mises-Fisher mixture model with a Dirichlet prior, referred to as VMFMix.

Document Classification General Classification

PSDVec: a Toolbox for Incremental and Scalable Word Embedding

no code implementations10 Jun 2016 Shaohua Li, Jun Zhu, Chunyan Miao

PSDVec is a Python/Perl toolbox that learns word embeddings, i. e. the mapping of words in a natural language to continuous vectors which encode the semantic/syntactic regularities between the words.

Word Embeddings Word Similarity

Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)

1 code implementation9 Jun 2016 Shaohua Li, Tat-Seng Chua, Jun Zhu, Chunyan Miao

Word embedding maps words into a low-dimensional continuous embedding space by exploiting the local word collocation patterns in a small context window.

Document Classification Variational Inference

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

1 code implementation EMNLP 2015 Shaohua Li, Jun Zhu, Chunyan Miao

Most existing word embedding methods can be categorized into Neural Embedding Models and Matrix Factorization (MF)-based methods.

On the Equivalence of Factorized Information Criterion Regularization and the Chinese Restaurant Process Prior

no code implementations30 Jun 2015 Shaohua Li

We argue that when $D_{c}>2$, FIC avoids an inherent problem of DP/CRP, i. e. the data likelihood will dominate the impact of the prior, and thus the model selection capability will weaken as $D_{c}$ increases.

Model Selection

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