b'Yali Wang'

research

∙ 03/14/2023

Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

We present a Non-parametric Network for 3D point cloud analysis, Point-N...

0 Renrui Zhang, 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

∙ 12/06/2022

InternVideo: General Video Foundation Models via Generative and Discriminative Learning

The foundation models have recently shown excellent performance on a var...

4 Yi Wang, et al. ∙

research

∙ 11/17/2022

UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer

Learning discriminative spatiotemporal representation is the key problem...

0 Kunchang Li, et al. ∙

research

∙ 11/17/2022

InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges

In this report, we present our champion solutions to five tracks at Ego4...

0 Guo Chen, et al. ∙

research

∙ 10/20/2022

VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection

Video understanding is an important problem in computer vision. Currentl...

4 YI LIU, et al. ∙

research

∙ 09/28/2022

Low-Resolution Action Recognition for Tiny Actions Challenge

Tiny Actions Challenge focuses on understanding human activities in real...

0 Boyu Chen, et al. ∙

research

∙ 07/12/2022

CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm

Point cloud completion aims to predict complete shape from its partial o...

0 Mingye Xu, et al. ∙

research

∙ 05/03/2022

Cross Domain Object Detection by Target-Perceived Dual Branch Distillation

Cross domain object detection is a realistic and challenging task in the...

1 Mengzhe He, et al. ∙

research

∙ 04/17/2022

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection

Domain adaptive object detection (DAOD) is a promising way to alleviate ...

0 Jiaxi Wu, et al. ∙

research

∙ 01/24/2022

UniFormer: Unifying Convolution and Self-attention for Visual Recognition

It is a challenging task to learn discriminative representation from ima...

7 Kunchang Li, et al. ∙

research

∙ 01/20/2022

CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning

Self-supervised learning has not been fully explored for point cloud ana...

0 Mingye Xu, et al. ∙

research

∙ 01/12/2022

Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning

It is a challenging task to learn rich and multi-scale spatiotemporal se...

14 Kunchang Li, et al. ∙

research

∙ 12/22/2021

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results

As real-scanned point clouds are mostly partial due to occlusions and vi...

18 Liang Pan, et al. ∙

research

∙ 11/24/2021

Self-slimmed Vision Transformer

Vision transformers (ViTs) have become the popular structures and outper...

5 Zhuofan Zong, et al. ∙

research

∙ 11/24/2021

MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video

Self-attention has become an integral component of the recent network ar...

0 David Junhao Zhang, et al. ∙

research

∙ 09/15/2021

Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos

Graph Convolution Network (GCN) has been successfully used for 3D human ...

5 Junhao Zhang, et al. ∙

research

∙ 08/30/2021

Digging into Uncertainty in Self-supervised Multi-view Stereo

Self-supervised Multi-view stereo (MVS) with a pretext task of image rec...

13 Hongbin Xu, et al. ∙

research

∙ 08/27/2021

TE-YOLOF: Tiny and efficient YOLOF for blood cell detection

Blood cell detection in microscopic images is an essential branch of med...

0 Fanxin Xu, et al. ∙

research

∙ 06/03/2021

CT-Net: Channel Tensorization Network for Video Classification

3D convolution is powerful for video classification but often computatio...

15 Kunchang Li, et al. ∙

research

∙ 05/24/2021

FineAction: A Fined Video Dataset for Temporal Action Localization

On the existing benchmark datasets, THUMOS14 and ActivityNet, temporal a...

11 YI LIU, et al. ∙

research

∙ 03/16/2021

PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos

The end-to-end Human Mesh Recovery (HMR) approach has been successfully ...

3 Tianyu Luan, et al. ∙

research

∙ 06/25/2020

SmallBigNet: Integrating Core and Contextual Views for Video Classification

Temporal convolution has been widely used for video classification. Howe...

0 Xianhang Li, et al. ∙

research

∙ 04/15/2020

Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders

Given a point in m-dimensional objective space, the local environment of...

0 Yali Wang, et al. ∙

research

∙ 04/14/2020

A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling

A customized multi-objective evolutionary algorithm (MOEA) is proposed f...

0 Yali Wang, et al. ∙

research

∙ 03/16/2020

Context-Transformer: Tackling Object Confusion for Few-Shot Detection

Few-shot object detection is a challenging but realistic scenario, where...

0 Ze Yang, et al. ∙

research

∙ 02/24/2020

Learning Attentive Pairwise Interaction for Fine-Grained Classification

Fine-grained classification is a challenging problem, due to subtle diff...

0 Peiqin Zhuang, et al. ∙

research

∙ 02/12/2020

Progressive Object Transfer Detection

Recent development of object detection mainly depends on deep learning w...

0 Hao Chen, et al. ∙

research

∙ 02/09/2019

Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning

Unsupervised clustering has broad applications in data stratification, p...

0 Chu Qin, et al. ∙

research

∙ 03/05/2018

LSTD: A Low-Shot Transfer Detector for Object Detection

Recent advances in object detection are mainly driven by deep learning w...

0 Hao Chen, et al. ∙

research

∙ 09/01/2016

Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition

Traditional feature encoding scheme (e.g., Fisher vector) with local des...

0 Zhe Wang, et al. ∙

Yali Wang

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