Xingang Wang | DeepAI

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Featured Co-authors

Lei Zhang
366 publications
Ming Li
199 publications
Jian Sun
183 publications
Xiangyu Zhang
153 publications
Qian Zhang
144 publications
Liang Wang
119 publications
Jiwen Lu
119 publications
Han Zhang
115 publications
Lingxi Xie
105 publications
Xinggang Wang
104 publications
Wenyu Liu
86 publications

∙ 03/15/2023

DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception

BEV perception is of great importance in the field of autonomous driving...

0 Jiayu Zou, et al. ∙

∙ 03/07/2023

OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

Semantic occupancy perception is essential for autonomous driving, as au...

0 Xiaofeng Wang, et al. ∙

∙ 12/17/2022

Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark

In recent years, vision-centric perception has flourished in various aut...

0 Xiaofeng Wang, et al. ∙

∙ 08/22/2022

Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation

Albeit with varying degrees of progress in the field of Semi-Supervised ...

6 Jie Qin, et al. ∙

∙ 08/19/2022

Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning

Self-supervised monocular methods can efficiently learn depth informatio...

0 Xiaofeng Wang, et al. ∙

∙ 04/15/2022

MVSTER: Epipolar Transformer for Efficient Multi-View Stereo

Learning-based Multi-View Stereo (MVS) methods warp source images into t...

6 Xiaofeng Wang, et al. ∙

∙ 04/11/2022

HFT: Lifting Perspective Representations via Hybrid Feature Transformation

Autonomous driving requires accurate and detailed Bird's Eye View (BEV) ...

0 Jiayu Zou, et al. ∙

∙ 12/16/2021

Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation

Image-level weakly supervised semantic segmentation (WSSS) is a fundamen...

5 Jie Qin, et al. ∙

∙ 03/13/2021

Anticipating synchronization with machine learning

In applications of dynamical systems, situations can arise where it is d...

0 Huawei Fan, et al. ∙

∙ 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...

12 Jie Qin, et al. ∙

∙ 11/15/2020

Transfer learning of chaotic systems

Can a neural network trained by the time series of system A be used to p...

0 Yali Guo, et al. ∙

∙ 03/23/2020

Learning Dynamic Routing for Semantic Segmentation

Recently, numerous handcrafted and searched networks have been applied f...

4 Yanwei Li, et al. ∙

∙ 02/17/2020

Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation

Most recent semi-supervised video object segmentation (VOS) methods rely...

9 Yingjie Yin, et al. ∙

∙ 02/27/2019

Cluster Regularized Quantization for Deep Networks Compression

Deep neural networks (DNNs) have achieved great success in a wide range ...

0 Yiming Hu, et al. ∙

∙ 02/27/2019

Multi-loss-aware Channel Pruning of Deep Networks

Channel pruning, which seeks to reduce the model size by removing redund...

0 Yiming Hu, et al. ∙

∙ 12/11/2018

Identity-Enhanced Network for Facial Expression Recognition

Facial expression recognition is a challenging task, arguably because of...

0 Yanwei Li, et al. ∙

∙ 12/10/2018

Attention-guided Unified Network for Panoptic Segmentation

This paper studies panoptic segmentation, a recently proposed task which...

0 Yanwei Li, et al. ∙

∙ 09/13/2018

Adversarial Feature Sampling Learning for Efficient Visual Tracking

The tracking-by-detection framework usually consist of two stages: drawi...

0 Yingjie Yin, et al. ∙

∙ 05/29/2018

A novel channel pruning method for deep neural network compression

In recent years, deep neural networks have achieved great success in the...

0 Yiming Hu, et al. ∙

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