b'Xinggang Wang'

research

∙ 07/05/2022

Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation

In this work, we propose PolarBEV for vision-based uneven BEV representa...

Zhi Liu, et al. ∙

research

∙ 06/22/2022

Polar Parametrization for Vision-based Surround-View 3D Detection

3D detection based on surround-view camera system is a critical techniqu...

Shaoyu Chen, et al. ∙

research

∙ 06/13/2022

Featurized Query R-CNN

The query mechanism introduced in the DETR method is changing the paradi...

Wenqiang Zhang, et al. ∙

research

∙ 06/09/2022

Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer

Learning Bird's Eye View (BEV) representation from surrounding-view came...

Shaoyu Chen, et al. ∙

research

∙ 05/30/2022

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels

Neural radiance fields (NeRF) have shown great success in modeling 3D sc...

Jiemin Fang, et al. ∙

research

∙ 04/18/2022

Temporally Efficient Vision Transformer for Video Instance Segmentation

Recently vision transformer has achieved tremendous success on image-lev...

Shusheng Yang, et al. ∙

research

∙ 04/12/2022

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

Although vision transformers (ViTs) have achieved great success in compu...

Wenqiang Zhang, et al. ∙

research

∙ 04/06/2022

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

We present an approach to efficiently and effectively adapt a masked ima...

Yuxin Fang, et al. ∙

research

∙ 03/24/2022

AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception

Studying the inherent symmetry of data is of great importance in machine...

Shaoyu Chen, et al. ∙

research

∙ 03/24/2022

Sparse Instance Activation for Real-Time Instance Segmentation

In this paper, we propose a conceptually novel, efficient, and fully con...

Tianheng Cheng, et al. ∙

research

∙ 02/07/2022

Corrupted Image Modeling for Self-Supervised Visual Pre-Training

We introduce Corrupted Image Modeling (CIM) for self-supervised visual p...

Yuxin Fang, et al. ∙

research

∙ 11/30/2021

NeuSample: Neural Sample Field for Efficient View Synthesis

Neural radiance fields (NeRF) have shown great potentials in representin...

Jiemin Fang, et al. ∙

research

∙ 11/15/2021

Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge

Although deep learning methods have achieved advanced video object recog...

Jiyang Qi, et al. ∙

research

∙ 10/13/2021

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Multi-object tracking (MOT) aims at estimating bounding boxes and identi...

Yifu Zhang, et al. ∙

research

∙ 08/25/2021

YOLOP: You Only Look Once for Panoptic Driving Perception

A panoptic driving perception system is an essential part of autonomous ...

Dong Wu, et al. ∙

research

∙ 08/05/2021

VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild

We present VoxelTrack for multi-person 3D pose estimation and tracking f...

Yifu Zhang, et al. ∙

research

∙ 08/05/2021

Hierarchical Aggregation for 3D Instance Segmentation

Instance segmentation on point clouds is a fundamental task in 3D scene ...

Shaoyu Chen, et al. ∙

research

∙ 07/05/2021

What Makes for Hierarchical Vision Transformer?

Recent studies show that hierarchical Vision Transformer with interleave...

Yuxin Fang, et al. ∙

research

∙ 07/04/2021

Bag of Instances Aggregation Boosts Self-supervised Learning

Recent advances in self-supervised learning have experienced remarkable ...

Haohang Xu, et al. ∙

research

∙ 06/22/2021

Tracking Instances as Queries

Recently, query based deep networks catch lots of attention owing to the...

Shusheng Yang, et al. ∙

research

∙ 06/01/2021

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

Can Transformer perform 2D object-level recognition from a pure sequence...

Yuxin Fang, et al. ∙

research

∙ 05/31/2021

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens

Transformers have offered a new methodology of designing neural networks...

Jiemin Fang, et al. ∙

research

∙ 05/05/2021

QueryInst: Parallelly Supervised Mask Query for Instance Segmentation

Recently, query based object detection frameworks achieve comparable per...

Yuxin Fang, et al. ∙

research

∙ 04/13/2021

Crossover Learning for Fast Online Video Instance Segmentation

Modeling temporal visual context across frames is critical for video ins...

Shusheng Yang, et al. ∙

research

∙ 04/04/2021

Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images

Humans have a strong class-agnostic object segmentation ability and can ...

Xinggang Wang, et al. ∙

research

∙ 04/02/2021

Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation

Despite their success for semantic segmentation, convolutional neural ne...

Zilong Huang, et al. ∙

research

∙ 03/25/2021

Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregation

Video object detection is a fundamental problem in computer vision and h...

Xinggang Wang, et al. ∙

research

∙ 03/22/2021

Human De-occlusion: Invisible Perception and Recovery for Humans

In this paper, we tackle the problem of human de-occlusion which reasons...

Qiang Zhou, et al. ∙

research

∙ 03/19/2021

Noise Modulation: Let Your Model Interpret Itself

Given the great success of Deep Neural Networks(DNNs) and the black-box ...

Haoyang Li, et al. ∙

research

∙ 03/18/2021

Deep Online Correction for Monocular Visual Odometry

In this work, we propose a novel deep online correction (DOC) framework ...

Jiaxin Zhang, et al. ∙

research

∙ 02/02/2021

Occluded Video Instance Segmentation

Can our video understanding systems perceive objects when a heavy occlus...

Jiyang Qi, et al. ∙

research

∙ 01/13/2021

Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition

Deep networks can learn to accurately recognize objects of a category by...

Mengting Chen, et al. ∙

research

∙ 12/21/2020

ResizeMix: Mixing Data with Preserved Object Information and True Labels

Data augmentation is a powerful technique to increase the diversity of d...

Jie Qin, et al. ∙

research

∙ 12/13/2020

EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search

Human pose estimation from image and video is a vital task in many multi...

Wenqiang Zhang, et al. ∙

research

∙ 07/17/2020

Deep multi-metric learning for text-independent speaker verification

Text-independent speaker verification is an important artificial intelli...

Jiwei Xu, et al. ∙

research

∙ 07/17/2020

Boundary-preserving Mask R-CNN

Tremendous efforts have been made to improve mask localization accuracy ...

Tianheng Cheng, et al. ∙

research

∙ 06/21/2020

FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search

Deep neural networks achieve remarkable performance in many computer vis...

Jiemin Fang, et al. ∙

research

∙ 04/04/2020

A Simple Baseline for Multi-Object Tracking

There has been remarkable progress on object detection and re-identifica...

Yifu Zhan, et al. ∙

research

∙ 01/08/2020

Fast Neural Network Adaptation via Parameter Remapping and Architecture Search

Deep neural networks achieve remarkable performance in many computer vis...

Jiemin Fang, et al. ∙

research

∙ 12/31/2019

Diversity Transfer Network for Few-Shot Learning

Few-shot learning is a challenging task that aims at training a classifi...

Mengting Chen, et al. ∙

research

∙ 12/12/2019

IoU-aware Single-stage Object Detector for Accurate Localization

Due to the simpleness and high efficiency, single-stage object detectors...

Shengkai Wu, et al. ∙

research

∙ 08/20/2019

Deep High-Resolution Representation Learning for Visual Recognition

High-resolution representations are essential for position-sensitive vis...

Jingdong Wang, et al. ∙

research

∙ 07/11/2019

Object Detection in Video with Spatial-temporal Context Aggregation

Recent cutting-edge feature aggregation paradigms for video object detec...

Hao Luo, et al. ∙

research

∙ 07/02/2019

Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation

Video object segmentation (VOS) aims at pixel-level object tracking give...

Qiang Zhou, et al. ∙

research

∙ 06/23/2019

Densely Connected Search Space for More Flexible Neural Architecture Search

In recent years, neural architecture search (NAS) has dramatically advan...

Jiemin Fang, et al. ∙

research

∙ 04/09/2019

High-Resolution Representations for Labeling Pixels and Regions

High-resolution representation learning plays an essential role in many ...

Ke Sun, et al. ∙

research

∙ 03/25/2019

Reducing the dilution: An analysis of the information sensitiveness of capsule network with a practical solution

Capsule network has shown various advantages over convolutional neural n...

Zonglin Yang, et al. ∙

research

∙ 03/25/2019

Reducing the Dilution: analysis of the information sensitiveness of capsule network and one practical solution

Capsule network has shown various advantages over convolutional neural n...

Zonglin Yang, et al. ∙

research

∙ 03/18/2019

Direct Object Recognition Without Line-of-Sight Using Optical Coherence

Visual object recognition under situations in which the direct line-of-s...

Xin Lei, et al. ∙

research

∙ 03/01/2019

Mask Scoring R-CNN

Letting a deep network be aware of the quality of its own predictions is...

Zhaojin Huang, et al. ∙

Xinggang Wang

Featured Co-authors