Search Results for author: Jian-Feng Wang

Found 10 papers, 3 papers with code

Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer

1 code implementation ECCV 2020 Yuanyi Zhong, Jian-Feng Wang, Jian Peng, Lei Zhang

In this paper, we propose an effective knowledge transfer framework to boost the weakly supervised object detection accuracy with the help of an external fully-annotated source dataset, whose categories may not overlap with the target domain.

Transfer Learning Weakly Supervised Object Detection

AutoAssign: Differentiable Label Assignment for Dense Object Detection

2 code implementations7 Jul 2020 Benjin Zhu, Jian-Feng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, Jian Sun

During training, to both satisfy the prior distribution of data and adapt to category characteristics, we present Center Weighting to adjust the category-specific prior distributions.

Dense Object Detection

High Frequency Residual Learning for Multi-Scale Image Classification

no code implementations7 May 2019 Bowen Cheng, Rong Xiao, Jian-Feng Wang, Thomas Huang, Lei Zhang

We present a novel high frequency residual learning framework, which leads to a highly efficient multi-scale network (MSNet) architecture for mobile and embedded vision problems.

Classification General Classification +1

Facial Motion Prior Networks for Facial Expression Recognition

4 code implementations23 Feb 2019 Yuedong Chen, Jian-Feng Wang, Shikai Chen, Zhongchao shi, Jianfei Cai

Deep learning based facial expression recognition (FER) has received a lot of attention in the past few years.

Facial Expression Recognition

Anchor Box Optimization for Object Detection

no code implementations2 Dec 2018 Yuanyi Zhong, Jian-Feng Wang, Jian Peng, Lei Zhang

In this paper, we propose a general approach to optimize anchor boxes for object detection.

Object Detection

Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition

no code implementations17 Sep 2018 Bowen Cheng, Rong Xiao, Yandong Guo, Yuxiao Hu, Jian-Feng Wang, Lei Zhang

We study in this paper how to initialize the parameters of multinomial logistic regression (a fully connected layer followed with softmax and cross entropy loss), which is widely used in deep neural network (DNN) models for classification problems.

General Classification Image Classification +2

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation

no code implementations21 May 2018 Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Wu, Jian-Feng Wang, Xiaodong He

We propose a hierarchically structured reinforcement learning approach to address the challenges of planning for generating coherent multi-sentence stories for the visual storytelling task.

reinforcement-learning Story Generation +1

Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition

no code implementations2 Sep 2015 Changzhi Luo, Bingbing Ni, Jun Yuan, Jian-Feng Wang, Shuicheng Yan, Meng Wang

This scheme leverages motion cues such as motion boundary and motion magnitude (in contrast, camera motion is usually considered as "noise" for most previous methods) to generate a more compact and discriminative set of object proposals, which are more closely related to the objects which are being manipulated.

Action Recognition Object Proposal Generation

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