b'Tong He'

Dynamic Convolution for 3D Point Cloud Instance Segmentation

We propose an approach to instance segmentation from 3D point clouds bas...
07/18/2021 ∙ by Tong He, et al. ∙ 13 ∙ share

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Learning Hierarchical Graph Neural Networks for Image Clustering

We propose a hierarchical graph neural network (GNN) model that learns h...
07/03/2021 ∙ by Yifan Xing, et al. ∙ 5 ∙ share

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HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding

Scene flow in 3D point clouds plays an important role in understanding d...
05/17/2021 ∙ by Ruibo Li, et al. ∙ 0 ∙ share

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ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting

End-to-end text-spotting, which aims to integrate detection and recognit...
05/08/2021 ∙ by Yuliang Liu, et al. ∙ 0 ∙ share

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DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution

Previous top-performing approaches for point cloud instance segmentation...
11/26/2020 ∙ by Tong He, et al. ∙ 0 ∙ share

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Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

We propose Geo-PIFu, a method to recover a 3D mesh from a monocular colo...
06/15/2020 ∙ by Tong He, et al. ∙ 21 ∙ share

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FCOS: A simple and strong anchor-free object detector

In computer vision, object detection is one of most important tasks, whi...
06/14/2020 ∙ by Zhi Tian, et al. ∙ 17 ∙ share

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Improving Semantic Segmentation via Self-Training

Deep learning usually achieves the best results with complete supervisio...
04/30/2020 ∙ by Yi Zhu, et al. ∙ 8 ∙ share

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ResNeSt: Split-Attention Networks

While image classification models have recently continued to advance, mo...
04/19/2020 ∙ by Hang Zhang, et al. ∙ 16 ∙ share

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ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

Scene text detection and recognition has received increasing research at...
02/24/2020 ∙ by Yuliang Liu, et al. ∙ 17 ∙ share

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Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation

3D point cloud semantic and instance segmentation is crucial and fundame...
01/06/2020 ∙ by Tong He, et al. ∙ 17 ∙ share

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Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition

A collection of approaches based on graph convolutional networks have pr...
12/24/2019 ∙ by Jialin Gao, et al. ∙ 0 ∙ share

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Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection

Omnidirectional scene text detection has received increasing research at...
12/20/2019 ∙ by Yuliang Liu, et al. ∙ 24 ∙ share

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LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning

We describe a policy learning approach to map visual inputs to driving c...
12/06/2019 ∙ by Albert Zhao, et al. ∙ 19 ∙ share

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GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

We present GluonCV and GluonNLP, the deep learning toolkits for computer...
07/09/2019 ∙ by Jian Guo, et al. ∙ 5 ∙ share

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Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources

With an increasing demand for training powers for deep learning algorith...
04/26/2019 ∙ by Haibin Lin, et al. ∙ 12 ∙ share

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FCOS: Fully Convolutional One-Stage Object Detection

We propose a fully convolutional one-stage object detector (FCOS) to sol...
04/02/2019 ∙ by Zhi Tian, et al. ∙ 0 ∙ share

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Knowledge Adaptation for Efficient Semantic Segmentation

Both accuracy and efficiency are of significant importance to the task o...
03/12/2019 ∙ by Tong He, et al. ∙ 12 ∙ share

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Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

Recent semantic segmentation methods exploit encoder-decoder architectur...
03/05/2019 ∙ by Zhi Tian, et al. ∙ 1 ∙ share

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Bag of Freebies for Training Object Detection Neural Networks

Comparing with enormous research achievements targeting better image cla...
02/11/2019 ∙ by Zhi Zhang, et al. ∙ 2 ∙ share

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Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors

We present a method to infer 3D pose and shape of vehicles from a single...
01/11/2019 ∙ by Tong He, et al. ∙ 4 ∙ share

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GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

Graphics Interchange Format (GIF) is a highly portable graphics format t...
01/09/2019 ∙ by Yang Wang, et al. ∙ 8 ∙ share

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GeoNet: Deep Geodesic Networks for Point Cloud Analysis

Surface-based geodesic topology provides strong cues for object semantic...
01/03/2019 ∙ by Tong He, et al. ∙ 0 ∙ share

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Bag of Tricks for Image Classification with Convolutional Neural Networks

Much of the recent progress made in image classification research can be...
12/04/2018 ∙ by Junyuan Xie, et al. ∙ 18 ∙ share

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FashionNet: Personalized Outfit Recommendation with Deep Neural Network

With the rapid growth of fashion-focused social networks and online shop...
10/04/2018 ∙ by Tong He, et al. ∙ 0 ∙ share

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Single Shot TextSpotter with Explicit Alignment and Attention

Text detection and recognition in natural images have long been consider...
03/09/2018 ∙ by Tong He, et al. ∙ 0 ∙ share

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Detecting Text in Natural Image with Connectionist Text Proposal Network

We propose a novel Connectionist Text Proposal Network (CTPN) that accur...
09/12/2016 ∙ by Zhi Tian, et al. ∙ 0 ∙ share

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Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network

We introduce a new top-down pipeline for scene text detection. We propos...
03/31/2016 ∙ by Tong He, et al. ∙ 0 ∙ share

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Text-Attentional Convolutional Neural Networks for Scene Text Detection

Recent deep learning models have demonstrated strong capabilities for cl...
10/12/2015 ∙ by Tong He, et al. ∙ 0 ∙ share

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Tong He

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