Hao Zhao | DeepAI

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Featured Co-authors

Luc Van Gool
414 publications
Hao Chen
339 publications
Yi Yang
329 publications
Li Zhang
240 publications
Ting Liu
188 publications
Ming Liu
179 publications
Liwei Wang
155 publications
Yang Yu
155 publications
Antonio Torralba
148 publications
Yao Zhao
119 publications
Chuang Gan
115 publications

∙ 07/27/2023

MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving

Nowadays, autonomous cars can drive smoothly in ordinary cases, and it i...

0 Zirui Wu, et al. ∙

∙ 07/26/2023

Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images

Compositional neural scene graph studies have shown that radiance fields...

0 Tianyu Liu, et al. ∙

∙ 06/06/2023

On Pitfalls of Test-Time Adaptation

Test-Time Adaptation (TTA) has recently emerged as a promising approach ...

5 Hao Zhao, et al. ∙

∙ 04/17/2023

STRAP: Structured Object Affordance Segmentation with Point Supervision

With significant annotation savings, point supervision has been proven e...

0 Leiyao Cui, et al. ∙

∙ 03/29/2023

DPF: Learning Dense Prediction Fields with Weak Supervision

Nowadays, many visual scene understanding problems are addressed by dens...

0 Xiaoxue Chen, et al. ∙

∙ 11/14/2022

AsyncNeRF: Learning Large-scale Radiance Fields from Asynchronous RGB-D Sequences with Time-Pose Function

Large-scale radiance fields are promising mapping tools for smart transp...

0 Zirui Wu, et al. ∙

∙ 10/23/2022

SC-wLS: Towards Interpretable Feed-forward Camera Re-localization

Visual re-localization aims to recover camera poses in a known environme...

0 Xin Wu, et al. ∙

∙ 10/20/2022

VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling

Recently, 3D scenes parsing with deep learning approaches has been a hea...

0 Beiwen Tian, et al. ∙

∙ 10/11/2022

Planning Assembly Sequence with Graph Transformer

Assembly sequence planning (ASP) is the essential process for modern man...

0 Lin Ma, et al. ∙

∙ 08/16/2022

Language-guided Semantic Style Transfer of 3D Indoor Scenes

We address the new problem of language-guided semantic style transfer of...

17 Bu Jin, et al. ∙

∙ 06/03/2022

SNAKE: Shape-aware Neural 3D Keypoint Field

Detecting 3D keypoints from point clouds is important for shape reconstr...

0 Chengliang Zhong, et al. ∙

∙ 12/21/2021

Transferable End-to-end Room Layout Estimation via Implicit Encoding

We study the problem of estimating room layouts from a single panorama i...

2 Hao Zhao, et al. ∙

∙ 11/24/2021

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Multi-task indoor scene understanding is widely considered as an intrigu...

2 Xiaoxue Chen, et al. ∙

∙ 11/15/2021

Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay

Accurate trajectory prediction of vehicles is essential for reliable aut...

0 Peng Bao, et al. ∙

∙ 09/17/2021

Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck

Semantic understanding of 3D point clouds is important for various robot...

11 Liyi Luo, et al. ∙

∙ 09/12/2021

PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds

3D scene understanding from point clouds plays a vital role for various ...

17 Xiaoxue Chen, et al. ∙

∙ 10/17/2020

LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...

4 Yunchao Wei, et al. ∙

∙ 07/11/2019

Efficient Semantic Scene Completion Network with Spatial Group Convolution

We introduce Spatial Group Convolution (SGC) for accelerating the comput...

4 Jiahui Zhang, et al. ∙

∙ 06/03/2019

Deeply-supervised Knowledge Synergy

Convolutional Neural Networks (CNNs) have become deeper and more complic...

0 Dawei Sun, et al. ∙

∙ 06/03/2019

A Closed-form Solution to Universal Style Transfer

Universal style transfer tries to explicitly minimize the losses in feat...

0 Ming Lu, et al. ∙

∙ 07/03/2017

Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation

In this paper, we propose an alternative method to estimate room layouts...

0 Hao Zhao, et al. ∙

∙ 06/07/2017

Network Sketching: Exploiting Binary Structure in Deep CNNs

Convolutional neural networks (CNNs) with deep architectures have substa...

0 Yiwen Guo, et al. ∙

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