b'Zheng Zhu'

research

∙ 09/18/2023

DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

World models, especially in autonomous driving, are trending and drawing...

0 Xiaofeng Wang, et al. ∙

research

∙ 06/22/2023

One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation

Recent works have explored the fundamental role of depth estimation in m...

0 Bohan Li, et al. ∙

research

∙ 05/10/2023

Multi-Prompt with Depth Partitioned Cross-Modal Learning

In recent years, soft prompt learning methods have been proposed to fine...

0 Yiqi Wang, et al. ∙

research

∙ 04/11/2023

OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

The vision-based perception for autonomous driving has undergone a trans...

0 Yunpeng Zhang, et al. ∙

research

∙ 03/24/2023

StereoScene: BEV-Assisted Stereo Matching Empowers 3D Semantic Scene Completion

3D semantic scene completion (SSC) is an ill-posed task that requires in...

0 Bohan Li, et al. ∙

research

∙ 03/16/2023

SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving

3D scene understanding plays a vital role in vision-based autonomous dri...

0 Yi Wei, et al. ∙

research

∙ 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. ∙

research

∙ 03/14/2023

A Simple Baseline for Supervised Surround-view Depth Estimation

Depth estimation has been widely studied and serves as the fundamental s...

0 Xianda Guo, et al. ∙

research

∙ 03/09/2023

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation

Monocular depth estimation is a challenging task that predicts the pixel...

0 Yiqun Duan, et al. ∙

research

∙ 03/08/2023

DiM: Distilling Dataset into Generative Model

Dataset distillation reduces the network training cost by synthesizing s...

0 Kai Wang, et al. ∙

research

∙ 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. ∙

research

∙ 02/28/2023

DREAM: Efficient Dataset Distillation by Representative Matching

Dataset distillation aims to generate small datasets with little informa...

0 Yanqing Liu, et al. ∙

research

∙ 01/10/2023

DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis

Talking head synthesis is a promising approach for the video production ...

1 Shuai Shen, et al. ∙

research

∙ 01/01/2023

Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields

Representing and synthesizing novel views in real-world dynamic scenes f...

0 Boyu Zhang, et al. ∙

research

∙ 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. ∙

research

∙ 10/12/2022

Token-Label Alignment for Vision Transformers

Data mixing strategies (e.g., CutMix) have shown the ability to greatly ...

0 Han Xiao, et al. ∙

research

∙ 10/11/2022

OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions

The pretrain-finetune paradigm in modern computer vision facilitates the...

0 Chengkun Wang, et al. ∙

research

∙ 08/22/2022

A Simple Baseline for Multi-Camera 3D Object Detection

3D object detection with surrounding cameras has been a promising direct...

0 Yunpeng Zhang, et al. ∙

research

∙ 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. ∙

research

∙ 08/06/2022

MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer

Self-supervised monocular depth estimation is an attractive solution tha...

31 Chaoqiang Zhao, et al. ∙

research

∙ 07/24/2022

Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis

Talking head synthesis is an emerging technology with wide applications ...

0 Shuai Shen, et al. ∙

research

∙ 06/20/2022

Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search

In this paper, we propose a Shapley value based method to evaluate opera...

0 Han Xiao, et al. ∙

research

∙ 06/06/2022

OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression

This paper presents a language-powered paradigm for ordinal regression. ...

1 Wanhua Li, et al. ∙

research

∙ 05/28/2022

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

Domain Adaptation of Black-box Predictors (DABP) aims to learn a model o...

0 Jianfei Yang, et al. ∙

research

∙ 05/23/2022

FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders

Face recognition, as one of the most successful applications in artifici...

16 Kai Wang, et al. ∙

research

∙ 05/19/2022

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

In this paper, we present BEVerse, a unified framework for 3D perception...

0 Yunpeng Zhang, et al. ∙

research

∙ 05/09/2022

Introspective Deep Metric Learning

This paper proposes an introspective deep metric learning (IDML) framewo...

0 Chengkun Wang, et al. ∙

research

∙ 05/05/2022

Gait Recognition in the Wild: A Benchmark

Gait benchmarks empower the research community to train and evaluate hig...

0 Zheng Zhu, et al. ∙

research

∙ 04/30/2022

Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels

Learning with noisy labels has aroused much research interest since data...

0 Kai Wang, et al. ∙

research

∙ 04/29/2022

Modeling Ride-Sourcing Matching and Pickup Processes based on Additive Gaussian Process Models

Matching and pickup processes are core features of ride-sourcing service...

0 Zheng Zhu, et al. ∙

research

∙ 04/21/2022

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

Face benchmarks empower the research community to train and evaluate hig...

0 Zheng Zhu, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 04/07/2022

SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation

Depth estimation from images serves as the fundamental step of 3D percep...

1 Yi Wei, et al. ∙

research

∙ 03/28/2022

Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing

This paper probes intrinsic factors behind typical failure cases (e.g. s...

7 Qingping Zheng, et al. ∙

research

∙ 03/08/2022

GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework

Many gait recognition methods first partition the human gait into N-part...

0 Ming Wang, et al. ∙

research

∙ 03/03/2022

CAFE: Learning to Condense Dataset by Aligning Features

Dataset condensation aims at reducing the network training effort throug...

23 Kai Wang, et al. ∙

research

∙ 02/17/2022

Predict the Rover Mobility over Soft Terrain using Articulated Wheeled Bevameter

Robot mobility is critical for mission success, especially in soft or de...

0 Wenyao Zhang, et al. ∙

research

∙ 02/07/2022

Crafting Better Contrastive Views for Siamese Representation Learning

Recent self-supervised contrastive learning methods greatly benefit from...

0 Xiangyu Peng, et al. ∙

research

∙ 12/22/2021

BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Autonomous driving perceives the surrounding environment for decision ma...

0 Junjie Huang, et al. ∙

research

∙ 12/02/2021

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

Recent progress has shown that large-scale pre-training using contrastiv...

0 Yongming Rao, et al. ∙

research

∙ 09/10/2021

Face-NMS: A Core-set Selection Approach for Efficient Face Recognition

Recently, face recognition in the wild has achieved remarkable success a...

0 Yunze Chen, et al. ∙

research

∙ 08/18/2021

Masked Face Recognition Challenge: The InsightFace Track Report

During the COVID-19 coronavirus epidemic, almost everyone wears a facial...

0 Jiankang Deng, et al. ∙

research

∙ 08/16/2021

Masked Face Recognition Challenge: The WebFace260M Track Report

According to WHO statistics, there are more than 204,617,027 confirmed C...

0 Zheng Zhu, et al. ∙

research

∙ 07/01/2021

Global Filter Networks for Image Classification

Recent advances in self-attention and pure multi-layer perceptrons (MLP)...

0 Yongming Rao, et al. ∙

research

∙ 04/06/2021

SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation

The practical application requests both accuracy and efficiency on multi...

0 Jiabin Zhang, et al. ∙

research

∙ 03/24/2021

Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes

Face clustering is a promising method for annotating unlabeled face imag...

0 Shuai Shen, et al. ∙

research

∙ 03/06/2021

WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

In this paper, we contribute a new million-scale face benchmark containi...

0 Zheng Zhu, et al. ∙

research

∙ 11/11/2020

Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach

Ride-hailing platforms generally provide various service options to cust...

0 Jintao Ke, et al. ∙

research

∙ 08/17/2020

How to Train Your Robust Human Pose Estimator: Pay Attention to the Constraint Cue

Both appearance cue and constraint cue are important in human pose estim...

4 Junjie Huang, et al. ∙

Zheng Zhu

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