b'Tong He'

research

∙ 09/18/2023

Unsupervised Open-Vocabulary Object Localization in Videos

In this paper, we show that recent advances in video representation lear...

0 Ke Fan, et al. ∙

research

∙ 09/01/2023

Object-Centric Multiple Object Tracking

Unsupervised object-centric learning methods allow the partitioning of s...

0 Zixu Zhao, et al. ∙

research

∙ 08/31/2023

Coarse-to-Fine Amodal Segmentation with Shape Prior

Amodal object segmentation is a challenging task that involves segmentin...

0 Jianxiong Gao, et al. ∙

research

∙ 08/26/2023

Boosting Residual Networks with Group Knowledge

Recent research understands the residual networks from a new perspective...

0 Shengji Tang, et al. ∙

research

∙ 06/06/2023

SAM3D: Segment Anything in 3D Scenes

In this work, we propose SAM3D, a novel framework that is able to predic...

0 Yunhan Yang, et al. ∙

research

∙ 05/04/2023

Stimulative Training++: Go Beyond The Performance Limits of Residual Networks

Residual networks have shown great success and become indispensable in r...

0 Peng Ye, et al. ∙

research

∙ 02/23/2023

Learning Manifold Dimensions with Conditional Variational Autoencoders

Although the variational autoencoder (VAE) and its conditional extension...

0 Yijia Zheng, et al. ∙

research

∙ 02/16/2023

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation

Layout-to-image generation refers to the task of synthesizing photo-real...

0 Jiaxin Cheng, et al. ∙

research

∙ 01/16/2023

β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search

Neural Architecture Search has attracted increasing attention in recent ...

0 Peng Ye, et al. ∙

research

∙ 12/31/2022

Ponder: Point Cloud Pre-training via Neural Rendering

We propose a novel approach to self-supervised learning of point cloud r...

0 Di Huang, et al. ∙

research

∙ 12/20/2022

MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency

Masked Modeling (MM) has demonstrated widespread success in various visi...

0 Mingye Xu, et al. ∙

research

∙ 12/08/2022

Frozen CLIP Model is An Efficient Point Cloud Backbone

The pretraining-finetuning paradigm has demonstrated great success in NL...

0 Xiaoshui Huang, et al. ∙

research

∙ 12/06/2022

GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds

Despite the tremendous progress of Masked Autoencoders (MAE) in developi...

0 Honghui Yang, et al. ∙

research

∙ 11/30/2022

Reconstructing Hand-Held Objects from Monocular Video

This paper presents an approach that reconstructs a hand-held object fro...

0 Di Huang, et al. ∙

research

∙ 11/17/2022

3D-QueryIS: A Query-based Framework for 3D Instance Segmentation

Previous top-performing methods for 3D instance segmentation often maint...

0 Jiaheng Liu, et al. ∙

research

∙ 10/24/2022

LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations

Data augmentations are important in training high-performance 3D object ...

0 Zhaoqi Leng, et al. ∙

research

∙ 10/23/2022

Self-supervised Amodal Video Object Segmentation

Amodal perception requires inferring the full shape of an object that is...

0 Jian Yao, et al. ∙

research

∙ 10/11/2022

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition

Long-tail distribution is widely spread in real-world applications. Due ...

8 Jingru Tan, et al. ∙

research

∙ 09/29/2022

Bridging the Gap to Real-World Object-Centric Learning

Humans naturally decompose their environment into entities at the approp...

38 Maximilian Seitzer, et al. ∙

research

∙ 04/25/2022

PointInst3D: Segmenting 3D Instances by Points

The current state-of-the-art methods in 3D instance segmentation typical...

2 Tong He, et al. ∙

research

∙ 08/17/2021

ARCH++: Animation-Ready Clothed Human Reconstruction Revisited

We present ARCH++, an image-based method to reconstruct 3D avatars with ...

0 Tong He, et al. ∙

research

∙ 08/12/2021

Progressive Coordinate Transforms for Monocular 3D Object Detection

Recognizing and localizing objects in the 3D space is a crucial ability ...

3 Li Wang, et al. ∙

research

∙ 07/18/2021

Dynamic Convolution for 3D Point Cloud Instance Segmentation

We propose an approach to instance segmentation from 3D point clouds bas...

13 Tong He, et al. ∙

research

∙ 07/03/2021

Learning Hierarchical Graph Neural Networks for Image Clustering

We propose a hierarchical graph neural network (GNN) model that learns h...

5 Yifan Xing, et al. ∙

research

∙ 05/17/2021

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...

0 Ruibo Li, et al. ∙

research

∙ 05/08/2021

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...

0 Yuliang Liu, et al. ∙

research

∙ 11/26/2020

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

Previous top-performing approaches for point cloud instance segmentation...

0 Tong He, et al. ∙

research

∙ 06/15/2020

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...

21 Tong He, et al. ∙

research

∙ 06/14/2020

FCOS: A simple and strong anchor-free object detector

In computer vision, object detection is one of most important tasks, whi...

17 Zhi Tian, et al. ∙

research

∙ 04/30/2020

Improving Semantic Segmentation via Self-Training

Deep learning usually achieves the best results with complete supervisio...

8 Yi Zhu, et al. ∙

research

∙ 04/19/2020

ResNeSt: Split-Attention Networks

While image classification models have recently continued to advance, mo...

16 Hang Zhang, et al. ∙

research

∙ 02/24/2020

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

Scene text detection and recognition has received increasing research at...

17 Yuliang Liu, et al. ∙

research

∙ 01/06/2020

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

3D point cloud semantic and instance segmentation is crucial and fundame...

17 Tong He, et al. ∙

research

∙ 12/24/2019

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

A collection of approaches based on graph convolutional networks have pr...

0 Jialin Gao, et al. ∙

research

∙ 12/20/2019

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

Omnidirectional scene text detection has received increasing research at...

24 Yuliang Liu, et al. ∙

research

∙ 12/06/2019

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

We describe a policy learning approach to map visual inputs to driving c...

19 Albert Zhao, et al. ∙

research

∙ 07/09/2019

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

We present GluonCV and GluonNLP, the deep learning toolkits for computer...

5 Jian Guo, et al. ∙

research

∙ 04/26/2019

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...

12 Haibin Lin, et al. ∙

research

∙ 04/02/2019

FCOS: Fully Convolutional One-Stage Object Detection

We propose a fully convolutional one-stage object detector (FCOS) to sol...

0 Zhi Tian, et al. ∙

research

∙ 03/12/2019

Knowledge Adaptation for Efficient Semantic Segmentation

Both accuracy and efficiency are of significant importance to the task o...

12 Tong He, et al. ∙

research

∙ 03/05/2019

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

Recent semantic segmentation methods exploit encoder-decoder architectur...

1 Zhi Tian, et al. ∙

research

∙ 02/11/2019

Bag of Freebies for Training Object Detection Neural Networks

Comparing with enormous research achievements targeting better image cla...

2 Zhi Zhang, et al. ∙

research

∙ 01/11/2019

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...

4 Tong He, et al. ∙

research

∙ 01/09/2019

GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

Graphics Interchange Format (GIF) is a highly portable graphics format t...

8 Yang Wang, et al. ∙

research

∙ 01/03/2019

GeoNet: Deep Geodesic Networks for Point Cloud Analysis

Surface-based geodesic topology provides strong cues for object semantic...

0 Tong He, et al. ∙

research

∙ 12/04/2018

Bag of Tricks for Image Classification with Convolutional Neural Networks

Much of the recent progress made in image classification research can be...

18 Junyuan Xie, et al. ∙

research

∙ 10/04/2018

FashionNet: Personalized Outfit Recommendation with Deep Neural Network

With the rapid growth of fashion-focused social networks and online shop...

0 Tong He, et al. ∙

research

∙ 03/09/2018

Single Shot TextSpotter with Explicit Alignment and Attention

Text detection and recognition in natural images have long been consider...

0 Tong He, et al. ∙

research

∙ 09/12/2016

Detecting Text in Natural Image with Connectionist Text Proposal Network

We propose a novel Connectionist Text Proposal Network (CTPN) that accur...

0 Zhi Tian, et al. ∙

research

∙ 03/31/2016

Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network

We introduce a new top-down pipeline for scene text detection. We propos...

0 Tong He, et al. ∙

Tong He

Featured Co-authors