b'Sheng Guo'

research

∙ 04/11/2023

StageInteractor: Query-based Object Detector with Cross-stage Interaction

Previous object detectors make predictions based on dense grid points or...

0 Yao Teng, et al. ∙

research

∙ 03/26/2023

PDPP:Projected Diffusion for Procedure Planning in Instructional Videos

In this paper, we study the problem of procedure planning in instruction...

0 Hanlin Wang, et al. ∙

research

∙ 02/22/2023

Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout

Artificial intelligence (AI)-empowered industrial fault diagnostics is i...

0 Yuanyuan Chen, et al. ∙

research

∙ 02/13/2023

CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets

Current RGB-D scene recognition approaches often train two standalone ba...

1 Jiange Yang, et al. ∙

research

∙ 11/17/2022

Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery

Intelligent fault diagnosis is essential to safe operation of machinery....

0 Sheng Guo, et al. ∙

research

∙ 06/06/2022

Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation

Reinforcement learning has shown a wide usage in robotics tasks, such as...

0 Yiwen Chen, et al. ∙

research

∙ 05/26/2022

Cross-Architecture Self-supervised Video Representation Learning

In this paper, we present a new cross-architecture contrastive learning ...

0 Sheng Guo, et al. ∙

research

∙ 05/12/2022

Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning

Precision robotic manipulation tasks (insertion, screwing, precisely pic...

0 Yiwen Chen, et al. ∙

research

∙ 04/18/2022

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization

Video summarization intends to produce a concise video summary by effect...

0 Wujiang Xu, et al. ∙

research

∙ 03/30/2022

AdaMixer: A Fast-Converging Query-Based Object Detector

Traditional object detectors employ the dense paradigm of scanning over ...

0 Ziteng Gao, et al. ∙

research

∙ 01/07/2022

Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents

Most dialogue systems in real world rely on predefined intents and answe...

0 Feng Wei, et al. ∙

research

∙ 12/02/2021

InsCLR: Improving Instance Retrieval with Self-Supervision

This work aims at improving instance retrieval with self-supervision. We...

0 Zelu Deng, et al. ∙

research

∙ 10/24/2021

A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark

The existing few-shot video classification methods often employ a meta-l...

0 Zhenxi Zhu, et al. ∙

research

∙ 07/28/2021

WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

Though widely used in image classification, convolutional neural network...

8 Qiufu Li, et al. ∙

research

∙ 07/09/2021

Mutually-aware Sub-Graphs Differentiable Architecture Search

Differentiable architecture search is prevalent in the field of NAS beca...

0 Haoxian Tan, et al. ∙

research

∙ 01/11/2021

Unchain the Search Space with Hierarchical Differentiable Architecture Search

Differentiable architecture search (DAS) has made great progress in sear...

0 Guanting Liu, et al. ∙

research

∙ 07/23/2020

Representation Sharing for Fast Object Detector Search and Beyond

Region Proposal Network (RPN) provides strong support for handling the s...

0 Yujie Zhong, et al. ∙

research

∙ 05/07/2020

Wavelet Integrated CNNs for Noise-Robust Image Classification

Convolutional Neural Networks (CNNs) are generally prone to noise interr...

22 Qiufu Li, et al. ∙

research

∙ 05/05/2020

Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer

Unsupervised style transfer aims to change the style of an input sentenc...

0 Chulun Zhou, et al. ∙

research

∙ 02/18/2020

Knowledge Integration Networks for Action Recognition

In this work, we propose Knowledge Integration Networks (referred as KIN...

0 Shiwen Zhang, et al. ∙

research

∙ 02/18/2020

V4D:4D Convolutional Neural Networks for Video-level Representation Learning

Most existing 3D CNNs for video representation learning are clip-based m...

0 Shiwen Zhang, et al. ∙

research

∙ 10/07/2019

Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation

Weakly-supervised instance segmentation aims to detect and segment objec...

16 Weifeng Ge, et al. ∙

research

∙ 06/13/2019

The iMaterialist Fashion Attribute Dataset

Large-scale image databases such as ImageNet have significantly advanced...

2 Sheng Guo, et al. ∙

research

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

research

∙ 08/03/2018

CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

We present a simple yet efficient approach capable of training deep neur...

0 Sheng Guo, et al. ∙

research

∙ 10/04/2016

Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs

Convolutional Neural Networks (CNNs) have made remarkable progress on sc...

0 Limin Wang, et al. ∙

research

∙ 01/27/2016

Locally-Supervised Deep Hybrid Model for Scene Recognition

Convolutional neural networks (CNN) have recently achieved remarkable su...

0 Sheng Guo, et al. ∙

research

∙ 10/14/2015

Better Exploiting OS-CNNs for Better Event Recognition in Images

Event recognition from still images is one of the most important problem...

0 Limin Wang, et al. ∙

research

∙ 08/03/2015

Local Color Contrastive Descriptor for Image Classification

Image representation and classification are two fundamental tasks toward...

0 Sheng Guo, et al. ∙

Sheng Guo

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