research
∙
09/18/2023
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
World models, especially in autonomous driving, are trending and drawing...
share
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...
research
∙
05/10/2023
Multi-Prompt with Depth Partitioned Cross-Modal Learning
In recent years, soft prompt learning methods have been proposed to fine...
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...
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...
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...
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...
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...
research
∙
03/09/2023
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation
Monocular depth estimation is a challenging task that predicts the pixel...
research
∙
03/08/2023
DiM: Distilling Dataset into Generative Model
Dataset distillation reduces the network training cost by synthesizing s...
research
∙
03/07/2023
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
Semantic occupancy perception is essential for autonomous driving, as au...
research
∙
02/28/2023
DREAM: Efficient Dataset Distillation by Representative Matching
Dataset distillation aims to generate small datasets with little informa...
research
∙
01/10/2023
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis
Talking head synthesis is a promising approach for the video production ...
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...
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...
research
∙
10/12/2022
Token-Label Alignment for Vision Transformers
Data mixing strategies (e.g., CutMix) have shown the ability to greatly ...
research
∙
10/11/2022
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
The pretrain-finetune paradigm in modern computer vision facilitates the...
research
∙
08/22/2022
A Simple Baseline for Multi-Camera 3D Object Detection
3D object detection with surrounding cameras has been a promising direct...
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...
research
∙
08/06/2022
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
Self-supervised monocular depth estimation is an attractive solution tha...
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 ...
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...
research
∙
06/06/2022
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
This paper presents a language-powered paradigm for ordinal regression. ...
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...
research
∙
05/23/2022
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders
Face recognition, as one of the most successful applications in artifici...
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...
research
∙
05/09/2022
Introspective Deep Metric Learning
This paper proposes an introspective deep metric learning (IDML) framewo...
research
∙
05/05/2022
Gait Recognition in the Wild: A Benchmark
Gait benchmarks empower the research community to train and evaluate hig...
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...
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...
research
∙
04/21/2022
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition
Face benchmarks empower the research community to train and evaluate hig...
research
∙
04/15/2022
MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
Learning-based Multi-View Stereo (MVS) methods warp source images into t...
research
∙
04/11/2022
HFT: Lifting Perspective Representations via Hybrid Feature Transformation
Autonomous driving requires accurate and detailed Bird's Eye View (BEV) ...
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...
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...
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...
research
∙
03/03/2022
CAFE: Learning to Condense Dataset by Aligning Features
Dataset condensation aims at reducing the network training effort throug...
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...
research
∙
02/07/2022
Crafting Better Contrastive Views for Siamese Representation Learning
Recent self-supervised contrastive learning methods greatly benefit from...
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...
research
∙
12/02/2021
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Recent progress has shown that large-scale pre-training using contrastiv...
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...
research
∙
08/18/2021
Masked Face Recognition Challenge: The InsightFace Track Report
During the COVID-19 coronavirus epidemic, almost everyone wears a facial...
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...
research
∙
07/01/2021
Global Filter Networks for Image Classification
Recent advances in self-attention and pure multi-layer perceptrons (MLP)...
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...
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...
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...
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...
research
∙
08/17/2020
