Search Results for author: Tong He

Found 39 papers, 22 papers with code

Instance-Aware Embedding for Point Cloud Instance Segmentation

no code implementations ECCV 2020 Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun

However, these methods are unaware of the instance context and fail to realize the boundary and geometric information of an instance, which are critical to separate adjacent objects.

Instance Segmentation Semantic Segmentation

PointInst3D: Segmenting 3D Instances by Points

no code implementations25 Apr 2022 Tong He, Wei Yin, Chunhua Shen, Anton Van Den Hengel

The current state-of-the-art methods in 3D instance segmentation typically involve a clustering step, despite the tendency towards heuristics, greedy algorithms, and a lack of robustness to the changes in data statistics.

3D Instance Segmentation Semantic Segmentation

Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning

no code implementations ICLR 2022 Jiarui Jin, Sijin Zhou, Weinan Zhang, Tong He, Yong Yu, Rasool Fakoor

Goal-oriented Reinforcement Learning (GoRL) is a promising approach for scaling up RL techniques on sparse reward environments requiring long horizon planning.

Continuous Control graph construction +1

Dynamic Convolution for 3D Point Cloud Instance Segmentation

1 code implementation18 Jul 2021 Tong He, Chunhua Shen, Anton Van Den Hengel

The proposed approach is proposal-free, and instead exploits a convolution process that adapts to the spatial and semantic characteristics of each instance.

Instance Segmentation Semantic Segmentation

Learning Hierarchical Graph Neural Networks for Image Clustering

2 code implementations ICCV 2021 Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto

Our hierarchical GNN uses a novel approach to merge connected components predicted at each level of the hierarchy to form a new graph at the next level.

Face Clustering

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

1 code implementation8 May 2021 Yuliang Liu, Chunhua Shen, Lianwen Jin, Tong He, Peng Chen, Chongyu Liu, Hao Chen

Previous methods can be roughly categorized into two groups: character-based and segmentation-based, which often require character-level annotations and/or complex post-processing due to the unstructured output.

Text Spotting

Explore with Dynamic Map: Graph Structured Reinforcement Learning

no code implementations1 Jan 2021 Jiarui Jin, Sijin Zhou, Weinan Zhang, Rasool Fakoor, David Wipf, Tong He, Yong Yu, Zheng Zhang, Alex Smola

In reinforcement learning, a map with states and transitions built based on historical trajectories is often helpful in exploration and exploitation.

reinforcement-learning

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

1 code implementation CVPR 2021 Tong He, Chunhua Shen, Anton Van Den Hengel

Previous top-performing approaches for point cloud instance segmentation involve a bottom-up strategy, which often includes inefficient operations or complex pipelines, such as grouping over-segmented components, introducing additional steps for refining, or designing complicated loss functions.

Instance Segmentation Semantic Segmentation

FCOS: A simple and strong anchor-free object detector

1 code implementation14 Jun 2020 Zhi Tian, Chunhua Shen, Hao Chen, Tong He

In computer vision, object detection is one of most important tasks, which underpins a few instance-level recognition tasks and many downstream applications.

object-detection Object Detection +1

Improving Semantic Segmentation via Self-Training

no code implementations30 Apr 2020 Yi Zhu, Zhongyue Zhang, Chongruo wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander Smola

In the case of semantic segmentation, this means that large amounts of pixelwise annotations are required to learn accurate models.

Domain Generalization Semantic Segmentation

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

7 code implementations CVPR 2020 Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang

Our contributions are three-fold: 1) For the first time, we adaptively fit arbitrarily-shaped text by a parameterized Bezier curve.

Scene Text Detection Text Spotting

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

no code implementations24 Dec 2019 Jialin Gao, Tong He, Xi Zhou, Shiming Ge

A collection of approaches based on graph convolutional networks have proven success in skeleton-based action recognition by exploring neighborhood information and dense dependencies between intra-frame joints.

Action Recognition Skeleton Based Action Recognition

Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection

1 code implementation20 Dec 2019 Yuliang Liu, Tong He, Hao Chen, Xinyu Wang, Canjie Luo, Shuaitao Zhang, Chunhua Shen, Lianwen Jin

More importantly, based on OBD, we provide a detailed analysis of the impact of a collection of refinements, which may inspire others to build state-of-the-art text detectors.

Scene Text Detection

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning

1 code implementation6 Dec 2019 Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van Den Broeck, Stefano Soatto

To learn this representation, we train a squeeze network to drive using annotations for the side task as input.

Semantic Segmentation

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

2 code implementations26 Apr 2019 Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li

One difficulty we observe is that the noise in the stochastic momentum estimation is accumulated over time and will have delayed effects when the batch size changes.

Image Classification object-detection +2

FCOS: Fully Convolutional One-Stage Object Detection

76 code implementations ICCV 2019 Zhi Tian, Chunhua Shen, Hao Chen, Tong He

By eliminating the predefined set of anchor boxes, FCOS completely avoids the complicated computation related to anchor boxes such as calculating overlapping during training.

object-detection Object Detection +2

Knowledge Adaptation for Efficient Semantic Segmentation

1 code implementation CVPR 2019 Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan

To tackle this dilemma, we propose a knowledge distillation method tailored for semantic segmentation to improve the performance of the compact FCNs with large overall stride.

Knowledge Distillation Semantic Segmentation

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

no code implementations CVPR 2019 Zhi Tian, Tong He, Chunhua Shen, Youliang Yan

In this work, we propose a data-dependent upsampling (DUpsampling) to replace bilinear, which takes advantages of the redundancy in the label space of semantic segmentation and is able to recover the pixel-wise prediction from low-resolution outputs of CNNs.

Semantic Segmentation

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

no code implementations11 Jan 2019 Tong He, Stefano Soatto

We present a method to infer 3D pose and shape of vehicles from a single image.

GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

no code implementations CVPR 2019 Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai

In this paper, we propose GIF2Video, the first learning-based method for enhancing the visual quality of GIFs in the wild.

Quantization

Bag of Tricks for Image Classification with Convolutional Neural Networks

25 code implementations CVPR 2019 Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li

Much of the recent progress made in image classification research can be credited to training procedure refinements, such as changes in data augmentations and optimization methods.

General Classification Image Classification +4

FashionNet: Personalized Outfit Recommendation with Deep Neural Network

no code implementations4 Oct 2018 Tong He, Yang Hu

Our system, dubbed FashionNet, consists of two components, a feature network for feature extraction and a matching network for compatibility computation.

Recommendation Systems

An end-to-end TextSpotter with Explicit Alignment and Attention

2 code implementations CVPR 2018 Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun

This allows the two tasks to work collaboratively by shar- ing convolutional features, which is critical to identify challenging text instances.

Single Shot Text Detector with Regional Attention

1 code implementation ICCV 2017 Pan He, Weilin Huang, Tong He, Qile Zhu, Yu Qiao, Xiaolin Li

Our text detector achieves an F-measure of 77% on the ICDAR 2015 bench- mark, advancing the state-of-the-art results in [18, 28].

Scene Text Detection

Detecting Text in Natural Image with Connectionist Text Proposal Network

17 code implementations12 Sep 2016 Zhi Tian, Weilin Huang, Tong He, Pan He, Yu Qiao

We propose a novel Connectionist Text Proposal Network (CTPN) that accurately localizes text lines in natural image.

Scene Text Detection

Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network

1 code implementation31 Mar 2016 Tong He, Weilin Huang, Yu Qiao, Jian Yao

We propose a novel Cascaded Convolutional Text Network (CCTN) that joints two customized convolutional networks for coarse-to-fine text localization.

Scene Text Detection

Text-Attentional Convolutional Neural Networks for Scene Text Detection

no code implementations12 Oct 2015 Tong He, Weilin Huang, Yu Qiao, Jian Yao

The rich supervision information enables the Text-CNN with a strong capability for discriminating ambiguous texts, and also increases its robustness against complicated background components.

Multi-Task Learning Scene Text Detection +1

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