CVPR2023.md

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往年顶会论文汇总：

CVPR2021

CVPR2022

ICCV2021

ECCV2022

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🔨 目录 |Table of Contents（点击直接跳转）

目录（右侧点击可折叠）

• Backbone
• 数据集/Dataset
• Diffusion Model
• NAS
• NeRF
• Knowledge Distillation
• 多模态 / Multimodal
• 对比学习/Contrastive Learning
• 图神经网络 / Graph Neural Networks
• 胶囊网络 / Capsule Network
• 图像分类 / Image Classification
• 目标检测/Object Detection
• 目标跟踪/Object Tracking
• 轨迹预测/Trajectory Prediction
• 语义分割/Segmentation
• 弱监督语义分割/Weakly Supervised Semantic Segmentation
• 医学图像分割
• 视频目标分割/Video Object Segmentation
• 交互式视频目标分割/Interactive Video Object Segmentation
• Visual Transformer
• 深度估计/Depth Estimation
• 人脸识别/Face Recognition
• 人脸检测/Face Detection
• 人脸活体检测/Face Anti-Spoofing
• 人脸年龄估计/Age Estimation
• 人脸表情识别/Facial Expression Recognition
• 人脸属性识别/Facial Attribute Recognition
• 人脸编辑/Facial Editing
• 人脸重建/Face Reconstruction
• Talking Face
• 换脸/Face Swap
• 人体姿态估计/Human Pose Estimation
• 6D位姿估计 /6D Pose Estimation
• 手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery)
• 视频动作检测/Video Action Detection
• 手语翻译/Sign Language Translation
• 3D人体重建
• 行人重识别/Person Re-identification
• 行人搜索/Person Search
• 人群计数 / Crowd Counting
• GAN
• 彩妆迁移 / Color-Pattern Makeup Transfer
• 字体生成 / Font Generation
• 场景文本检测、识别/Scene Text Detection/Recognition
• 图像、视频检索 / Image Retrieval/Video retrieval
• Image Animation
• 抠图/Image Matting
• 超分辨率/Super Resolution
• 图像复原/Image Restoration
• 图像补全/Image Inpainting
• 图像去噪/Image Denoising
• 图像编辑/Image Editing
• 图像拼接/Image stitching
• 图像匹配/Image Matching
• 图像融合/Image Blending
• 图像去雾/Image Dehazing
• 图像压缩/Image Compression
• 反光去除/Reflection Removal
• 车道线检测/Lane Detection
• 自动驾驶 / Autonomous Driving
• 流体重建/Fluid Reconstruction
• 场景重建 / Scene Reconstruction
• 3D Reconstruction
• 视频插帧/Frame Interpolation
• 视频超分 / Video Super-Resolution
• 3D点云/3D point cloud
• 标签噪声 / Label-Noise
• 对抗样本/Adversarial Examples
• Anomaly Detection
• 其他/Other

Backbone

Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks

• 论文/Paper:https://arxiv.org/abs/2303.03667
• 代码/Code:https://github.com/JierunChen/FasterNet

返回目录/back

数据集/Dataset

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo

• 论文/Paper: http://arxiv.org/pdf/2303.01943
• 代码/Code: None

Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes

• 论文/Paper: http://arxiv.org/pdf/2303.02760
• 代码/Code: None

返回目录/back

Diffusion Model

Unifying Layout Generation with a Decoupled Diffusion Model

• 论文/Paper: http://arxiv.org/pdf/2303.05049
• 代码/Code: None

DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration

• 论文/Paper: http://arxiv.org/pdf/2303.06885
• 代码/Code: None

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

• 论文/Paper: http://arxiv.org/pdf/2303.08137
• 代码/Code: https://github.com/CyberAgentAILab/layout-dm

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

• 论文/Paper: http://arxiv.org/pdf/2303.07938
• 代码/Code: None

Decomposed Diffusion Models for High-Quality Video Generation

• 论文/Paper: http://arxiv.org/pdf/2303.08320
• 代码/Code: None

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation

• 论文/Paper: http://arxiv.org/pdf/2303.09119
• 代码/Code: https://github.com/advocate99/diffgesture

Leapfrog Diffusion Model for Stochastic Trajectory Prediction

• 论文/Paper: http://arxiv.org/pdf/2303.10895
• 代码/Code: https://github.com/mediabrain-sjtu/led

Conditional Image-to-Video Generation with Latent Flow Diffusion Models

• 论文/Paper: https://arxiv.org/pdf/2303.13744.pdf
• 代码/Code: https://github.com/nihaomiao/CVPR23_LFDM

返回目录/back

NAS

返回目录/back

NeRF

Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervisio

• 论文/Paper: http://arxiv.org/pdf/2303.03361
• 代码/Code: None

NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer

• 论文/Paper: http://arxiv.org/pdf/2303.06919
• 代码/Code: None

PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision

• 论文/Paper: http://arxiv.org/pdf/2303.09554
• 代码/Code: None

StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields

• 论文/Paper: http://arxiv.org/pdf/2303.10598
• 代码/Code: None

SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field

• 论文/Paper: http://arxiv.org/pdf/2303.13277
• 代码/Code: None

返回目录/back

Knowledge Distillation

Paper title: Generic-to-Specific Distillation of Masked Autoencoders

• 论文/Paper: https://arxiv.org/abs/2302.14771
• 代码/Code: https://github.com/pengzhiliang/G2SD

X$^3$KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.02203
• 代码/Code: None

返回目录/back

多模态 / Multimodal

PolyFormer: Referring Image Segmentation as Sequential Polygon Generation

• 论文/Paper: https://arxiv.org/abs/2302.14771
• 代码/Code: None

Multimodal Industrial Anomaly Detection via Hybrid Fusion

• 论文/Paper: http://arxiv.org/pdf/2303.00601
• 代码/Code: https://github.com/nomewang/m3dm

Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

• 论文/Paper: http://arxiv.org/pdf/2303.00462
• 代码/Code: https://github.com/toytiny/cmflow

AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images

• 论文/Paper: http://arxiv.org/pdf/2303.00865
• 代码/Code: None

Multimodal Prompting with Missing Modalities for Visual Recognition

• 论文/Paper: http://arxiv.org/pdf/2303.03369
• 代码/Code: https://github.com/yilunlee/missing_aware_prompts

FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks

• 论文/Paper: http://arxiv.org/pdf/2303.02483
• 代码/Code: None

Virtual Sparse Convolution for Multimodal 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.02314
• 代码/Code: https://github.com/hailanyi/virconv

LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion

• 论文/Paper: http://arxiv.org/pdf/2303.03595
• 代码/Code: https://github.com/sankin97/LoGoNet

Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2303.05952
• 代码/Code: None

Align and Attend: Multimodal Summarization with Dual Contrastive Losses

• 论文/Paper: http://arxiv.org/pdf/2303.07284
• 代码/Code: None

Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers

• 论文/Paper: http://arxiv.org/pdf/2303.09164
• 代码/Code: None

Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching

• 论文/Paper: http://arxiv.org/pdf/2303.10971
• 代码/Code: https://github.com/dongliangcao/Self-Supervised-Multimodal-Shape-Matching

Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval

• 论文/Paper: http://arxiv.org/pdf/2303.12501

返回目录/back

Contrastive Learning

Twin Contrastive Learning with Noisy Labels

• 论文/Paper: http://arxiv.org/pdf/2303.06930
• 代码/Code: https://github.com/Hzzone/TCL

TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification

• 论文/Paper: http://arxiv.org/pdf/2303.06819
• 代码/Code: https://github.com/kali-hac/transg

MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation

• 论文/Paper: http://arxiv.org/pdf/2303.07815
• 代码/Code: None

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning

• 论文/Paper: http://arxiv.org/pdf/2303.11302
• 代码/Code: \url{https://github.com/weixuansun/FNAC-AVL}.

Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2303.10904
• 代码/Code: None

Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation

• 论文/Paper: http://arxiv.org/pdf/2303.10323
• 代码/Code: https://github.com/mlii0117/dcl

CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning

• 论文/Paper: http://arxiv.org/pdf/2303.12793
• 代码/Code: https://github.com/FangyunWei/SLRT

MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset

• 论文/Paper: http://arxiv.org/pdf/2303.12756
• 代码/Code: https://github.com/MrChenFeng/MaskCon_CVPR2023

返回目录/back

胶囊网络 / Capsule Network

返回目录/back

图像分类 / Image Classification

Fine-Grained Classification with Noisy Labels

• 论文/Paper: http://arxiv.org/pdf/2303.02404
• 代码/Code: None

Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification

• 论文/Paper: http://arxiv.org/pdf/2303.08446
• 代码/Code: https://github.com/invoker-LL/WSI-finetuning

Boosting Verified Training for Robust Image Classifications via Abstraction

• 论文/Paper: http://arxiv.org/pdf/2303.11552
• 代码/Code: https://github.com/zhangzhaodi233/abscert

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification

• 论文/Paper: http://arxiv.org/pdf/2303.12307
• 代码/Code: None

返回目录/back

目标检测/Object Detection

Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View

• 论文/Paper: http://arxiv.org/pdf/2303.01686
• 代码/Code: None

Virtual Sparse Convolution for Multimodal 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.02314
• 代码/Code: https://github.com/hailanyi/virconv

LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion

• 论文/Paper: http://arxiv.org/pdf/2303.03595
• 代码/Code: https://github.com/sankin97/LoGoNet

NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging

• 论文/Paper: http://arxiv.org/pdf/2303.04958
• 代码/Code: None

Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.05892
• 代码/Code: https://github.com/LutingWang/OADP.

Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.05886
• 代码/Code: https://github.com/PJLabADG/3DTrans

Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.06880
• 代码/Code: https://github.com/PJLab-ADG/3DTrans

Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR

• 论文/Paper: http://arxiv.org/pdf/2303.07335
• 代码/Code: https://github.com/IDEA-Research/Lite-DETR

PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.08129
• 代码/Code: https://github.com/blvlab/pimae

Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency

• 论文/Paper: http://arxiv.org/pdf/2303.08686
• 代码/Code: https://github.com/weakmono3d/weakmono3d

Active Teacher for Semi-Supervised Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.08348
• 代码/Code: https://github.com/hunterj-lin/activeteacher

MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences

• 论文/Paper: http://arxiv.org/pdf/2303.08316
• 代码/Code: https://github.com/skyhehe123/MSF

MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.09061
• 代码/Code: https://github.com/lliuz/MixTeacher

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.09674
• 代码/Code: https://github.com/Phoenix-V/DiGeo

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking

• 论文/Paper: http://arxiv.org/pdf/2303.11301
• 代码/Code: https://github.com/dvlab-research/VoxelNeXt

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving

• 论文/Paper: http://arxiv.org/pdf/2303.11040
• 代码/Code: https://github.com/kkkcx/3D_Corruptions_AD.

CAPE: Camera View Position Embedding for Multi-View 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.10209
• 代码/Code: https://github.com/PaddlePaddle/Paddle3D

STDLens: Model Hijacking-resilient Federated Learning for Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.11511
• 代码/Code: https://github.com/git-disl/stdlens

MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer

• 论文/Paper: http://arxiv.org/pdf/2303.13018
• 代码/Code: None

Dense Distinct Query for End-to-End Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.12776
• 代码/Code: https://github.com/jshilong/ddq

OcTr: Octree-based Transformer for 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.12621
• 代码/Code: None

Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection

• 论文/Paper: https://arxiv.org/abs/2209.01589
• 代码/Code: https://github.com/Adamdad/ConsistentTeacher

返回目录/back

目标跟踪/Object Tracking

Referring Multi-Object Tracking

• 论文/Paper: http://arxiv.org/pdf/2303.03366
• 代码/Code: https://github.com/wudongming97/rmot

Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses

• 论文/Paper: http://arxiv.org/pdf/2303.08364
• 代码/Code: https://github.com/junbongjang/contour-tracking

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking

• 论文/Paper: http://arxiv.org/pdf/2303.11301
• 代码/Code: https://github.com/dvlab-research/VoxelNeXt

Visual Prompt Multi-Modal Tracking

• 论文/Paper: http://arxiv.org/pdf/2303.10826
• 代码/Code: https://github.com/jiawen-zhu/ViPT.

MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking

• 论文/Paper: http://arxiv.org/pdf/2303.10404
• 代码/Code: None

返回目录/back

3D Object Tracking

返回目录/back

轨迹预测/Trajectory Prediction

IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction

• 论文/Paper: http://arxiv.org/pdf/2303.00575
• 代码/Code: None

Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting

• 论文/Paper: http://arxiv.org/pdf/2303.05095
• 代码/Code: None

Leapfrog Diffusion Model for Stochastic Trajectory Prediction

• 论文/Paper: http://arxiv.org/pdf/2303.10895
• 代码/Code: https://github.com/mediabrain-sjtu/led

返回目录/back

语义分割/Segmentation

Interactive Segmentation as Gaussian Process Classification

• 论文/Paper: http://arxiv.org/pdf/2302.14578
• 代码/Code: None

Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2302.14250
• 代码/Code: None

PolyFormer: Referring Image Segmentation as Sequential Polygon Generation

• 论文/Paper: https://arxiv.org/abs/2302.14771
• 代码/Code: None

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution

• 论文/Paper: http://arxiv.org/pdf/2303.00246
• 代码/Code: None

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss

• 论文/Paper: https://arxiv.org/abs/2301.05709
• 代码/Code: None

Delivering Arbitrary-Modal Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.01480
• 代码/Code: None

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.01276
• 代码/Code: https://github.com/xiaoyao3302/CCVC

Token Contrast for Weakly-Supervised Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.01267
• 代码/Code: https://github.com/rulixiang/toco

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

• 论文/Paper: http://arxiv.org/pdf/2303.04803
• 代码/Code: None

MP-Former: Mask-Piloted Transformer for Image Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.07336
• 代码/Code: https://github.com/IDEA-Research/MP-Former

Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos

• 论文/Paper: http://arxiv.org/pdf/2303.07224
• 代码/Code: https://github.com/thu-lyj-lab/ar-seg

InstMove: Instance Motion for Object-centric Video Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.08132
• 代码/Code: https://github.com/wjf5203/vnext

DynaMask: Dynamic Mask Selection for Instance Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.07868
• 代码/Code: https://github.com/lslrh/dynamask

MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation

• 论文/Paper: http://arxiv.org/pdf/2303.07815
• 代码/Code: None

MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving

• 论文/Paper: http://arxiv.org/pdf/2303.08600
• 代码/Code: https://github.com/jialeli1/lidarseg3d

FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.08594
• 代码/Code: https://github.com/junjiehe96/FastInst

SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.08578
• 代码/Code: https://github.com/lslrh/sim

Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.10100
• 代码/Code: https://github.com/0liliulei/Mask-VOS

Generative Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.11316
• 代码/Code: https://github.com/fudan-zvg/gss

Reliability in Semantic Segmentation: Are We on the Right Track?

• 论文/Paper: http://arxiv.org/pdf/2303.11298
• 代码/Code: https://github.com/naver/relis

Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.11203
• 代码/Code: https://github.com/l1997i/lim3d

Explicit Visual Prompting for Low-Level Structure Segmentations

• 论文/Paper: http://arxiv.org/pdf/2303.10883
• 代码/Code: https://github.com/nifangbaage/explict-visual-prompt

Two-shot Video Object Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.12078
• 代码/Code: https://github.com/yk-pku/Two-shot-Video-Object-Segmentation

Focused and Collaborative Feedback Integration for Interactive Image Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.11880
• 代码/Code: https://github.com/veizgyauzgyauz/fcfi

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.13090
• 代码/Code: https://github.com/hengcai-nju/desco

返回目录/back

弱监督语义分割/Weakly Supervised Semantic Segmentation

返回目录/back

医学图像分割/Medical Image Segmentation

返回目录/back

视频目标分割/Video Object Segmentation

返回目录/back

交互式视频目标分割/Interactive Video Object Segmentation

返回目录/back

Visual Transformer

Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors

• 论文/Paper: http://arxiv.org/pdf/2302.14746
• 代码/Code: None

ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer

• 论文/Paper: http://arxiv.org/pdf/2302.14435
• 代码/Code: https://github.com/I2-Multimedia-Lab/ProxyFormer

Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves

• 论文/Paper: http://arxiv.org/pdf/2303.01112
• 代码/Code: None

MP-Former: Mask-Piloted Transformer for Image Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.07336
• 代码/Code: https://github.com/IDEA-Research/MP-Former

TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification

• 论文/Paper: http://arxiv.org/pdf/2303.06819
• 代码/Code: https://github.com/kali-hac/transg

BiFormer: Vision Transformer with Bi-Level Routing Attention

• 论文/Paper: http://arxiv.org/pdf/2303.08810
• 代码/Code: https://github.com/rayleizhu/biformer

Making Vision Transformers Efficient from A Token Sparsification View

• 论文/Paper: http://arxiv.org/pdf/2303.08685
• 代码/Code: None

Rotation-Invariant Transformer for Point Cloud Matching

• 论文/Paper: http://arxiv.org/pdf/2303.08231
• 代码/Code: None

Graph Transformer GANs for Graph-Constrained House Generation

• 论文/Paper: http://arxiv.org/pdf/2303.08225
• 代码/Code: None

PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers

• 论文/Paper: http://arxiv.org/pdf/2303.09187
• 代码/Code: None

Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers

• 论文/Paper: http://arxiv.org/pdf/2303.09164
• 代码/Code: None

Dual-path Adaptation from Image to Video Transformers

• 论文/Paper: http://arxiv.org/pdf/2303.09857
• 代码/Code: https://github.com/park-jungin/DualPath

Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective

• 论文/Paper: http://arxiv.org/pdf/2303.13434
• 代码/Code: None

POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery

• 论文/Paper: http://arxiv.org/pdf/2303.13357
• 代码/Code: None

MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer

• 论文/Paper: http://arxiv.org/pdf/2303.13018
• 代码/Code: None

MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models

• 论文/Paper: http://arxiv.org/pdf/2303.13009
• 代码/Code: https://github.com/mlvlab/MELTR

Spherical Transformer for LiDAR-based 3D Recognition

• 论文/Paper: http://arxiv.org/pdf/2303.12766
• 代码/Code: https://github.com/dvlab-research/sphereformer

OcTr: Octree-based Transformer for 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.12621
• 代码/Code: None

Text with Knowledge Graph Augmented Transformer for Video Captioning

• 论文/Paper: http://arxiv.org/pdf/2303.12423
• 代码/Code: None

MAGVLT: Masked Generative Vision-and-Language Transformer

• 论文/Paper: http://arxiv.org/pdf/2303.12208
• 代码/Code: None

返回目录/back

深度估计/Depth Estimation

Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

• 论文/Paper: https://arxiv.org/abs/2211.13202
• 代码/Code:https://github.com/noahzn/Lite-Mono

Fully Self-Supervised Depth Estimation from Defocus Clue

• 论文/Paper: http://arxiv.org/pdf/2303.10752
• 代码/Code: https://github.com/ehzoahis/dered

返回目录/back

图像、视频检索 / Image Retrieval/Video retrieval

Data-Free Sketch-Based Image Retrieval

• 论文/Paper: http://arxiv.org/pdf/2303.07775
• 代码/Code: https://github.com/abhrac/data-free-sbir

CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not

• 论文/Paper: http://arxiv.org/pdf/2303.13440
• 代码/Code: None

返回目录/back

超分辨率/Super Resolution

OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution

• 论文/Paper: http://arxiv.org/pdf/2303.01091
• 代码/Code: None

Super-Resolution Neural Operator

• 论文/Paper: http://arxiv.org/pdf/2303.02584
• 代码/Code: https://github.com/2y7c3/super-resolution-neural-operator

Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution

• 论文/Paper: http://arxiv.org/pdf/2303.05156
• 代码/Code: None

Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting

• 论文/Paper: http://arxiv.org/pdf/2303.08331
• 代码/Code: https://github.com/coulsonlee/STDO-CVPR2023.git

返回目录/back

图像去噪/Image Denoising - 1 篇

Masked Image Training for Generalizable Deep Image Denoising

• 论文/Paper: http://arxiv.org/pdf/2303.13132
• 代码/Code: https://github.com/haoyuc/maskeddenoising

返回目录/back

图像编辑/Image Editing

CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing

• 论文/Paper: http://arxiv.org/pdf/2303.05031
• 代码/Code: None

返回目录/back

图像压缩/Image Compression

Context-Based Trit-Plane Coding for Progressive Image Compression

• 论文/Paper: http://arxiv.org/pdf/2303.05715
• 代码/Code: https://github.com/seungminjeon-github/ctc

返回目录/back

人脸识别/Face Recognition

Attribute-preserving Face Dataset Anonymization via Latent Code Optimization

• 论文/Paper: http://arxiv.org/pdf/2303.11296
• 代码/Code: https://github.com/chi0tzp/falco

Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images

• 论文/Paper: http://arxiv.org/pdf/2303.10896
• 代码/Code: None

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

• 论文/Paper: http://arxiv.org/pdf/2303.12512
• 代码/Code: None

返回目录/back

人脸检测/Face Detection

返回目录/back

人脸活体检测/Face Anti-Spoofing

返回目录/back

人脸重建/Face Reconstruction

DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration

• 论文/Paper: http://arxiv.org/pdf/2303.06885
• 代码/Code: None

A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images

• 论文/Paper: https://arxiv.org/abs/2302.14434
• 代码/Code: https://younglbw.github.io/HRN-homepage/

返回目录/back

视频动作检测/Video Action Detection

TriDet: Temporal Action Detection with Relative Boundary Modeling

• 论文/Paper: http://arxiv.org/pdf/2303.07347
• 代码/Code: https://github.com/sssste/tridet

返回目录/back

手语翻译/Sign Language Translation

Continuous Sign Language Recognition with Correlation Network

• 论文/Paper: http://arxiv.org/pdf/2303.03202
• 代码/Code: None

Natural Language-Assisted Sign Language Recognition

• 论文/Paper: http://arxiv.org/pdf/2303.12080
• 代码/Code: https://github.com/FangyunWei/SLRT

返回目录/back

行人重识别/Person Re-identification

TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification

• 论文/Paper: http://arxiv.org/pdf/2303.06819
• 代码/Code: https://github.com/kali-hac/transg

Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

• 论文/Paper: https://arxiv.org/abs/2303.14481
• 代码/Code: https://github.com/ZYK100/LLCM

返回目录/back

Talking Face

SadTalker： Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

• 论文/Paper: https://arxiv.org/abs/2211.12194
• 代码/Code: https://github.com/Winfredy/SadTalker

返回目录/back

人体姿态估计/Human Pose Estimation

PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation

• 论文/Paper: http://arxiv.org/pdf/2303.07337
• 代码/Code: https://github.com/qihao067/poseexaminer

Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video

• 论文/Paper: http://arxiv.org/pdf/2303.08475
• 代码/Code: None

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

• 论文/Paper: http://arxiv.org/pdf/2303.09095
• 代码/Code: None

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2303.11180
• 代码/Code: None

3D Human Mesh Estimation from Virtual Markers

• 论文/Paper: http://arxiv.org/pdf/2303.11726
• 代码/Code: https://github.com/ShirleyMaxx/VirtualMarker.

Rigidity-Aware Detection for 6D Object Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2303.12396
• 代码/Code: None

Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

• 论文/Paper: http://arxiv.org/pdf/2303.12246
• 代码/Code: None

返回目录/back

GAN

Improving GAN Training via Feature Space Shrinkage

• 论文/Paper: http://arxiv.org/pdf/2303.01559
• 代码/Code: https://github.com/WentianZhang-ML/AdaptiveMix

Scaling up GANs for Text-to-Image Synthesis

• 论文/Paper: http://arxiv.org/pdf/2303.05511
• 代码/Code: None

Graph Transformer GANs for Graph-Constrained House Generation

• 论文/Paper: http://arxiv.org/pdf/2303.08225
• 代码/Code: None

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models

• 论文/Paper: http://arxiv.org/pdf/2303.10774
• 代码/Code: https://github.com/mattolson93/cross_gan_auditing

返回目录/back

人脸年龄估计/Age Estimation

返回目录/back

人脸表情识别/Facial Expression Recognition

返回目录/back

手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery)

Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes

• 论文/Paper: http://arxiv.org/pdf/2302.14348
• 代码/Code: https://github.com/jyunlee/Im2Hands

ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2303.05938
• 代码/Code: https://github.com/zhengdiyu/arbitrary-hands-3d-reconstruction

返回目录/back

3D Reconstruction

Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly

• 论文/Paper: http://arxiv.org/pdf/2303.01999
• 代码/Code: None

MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices

• 论文/Paper: http://arxiv.org/pdf/2303.01932
• 代码/Code: None

HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling

• 论文/Paper: http://arxiv.org/pdf/2303.02700
• 代码/Code: None

NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2303.02375
• 代码/Code: None

Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2303.05937
• 代码/Code: None

返回目录/back

视频插帧/Frame Interpolation

Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation

• 论文/Paper: http://arxiv.org/pdf/2303.00440
• 代码/Code: https://github.com/MCG-NJU/EMA-VFI

返回目录/back

3D点云/3D point cloud

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution

• 论文/Paper: http://arxiv.org/pdf/2303.00246
• 代码/Code: None

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss

• 论文/Paper: https://arxiv.org/abs/2301.05709
• 代码/Code: None

Neural Intrinsic Embedding for Non-rigid Point Cloud Matching

• 论文/Paper: http://arxiv.org/pdf/2303.01038
• 代码/Code: None

ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion

• 论文/Paper: http://arxiv.org/pdf/2303.01979
• 代码/Code: https://github.com/Sangminhong/ACL-SPC_PyTorch

PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees

• 论文/Paper: http://arxiv.org/pdf/2303.01959
• 代码/Code: None

SCPNet: Semantic Scene Completion on Point Cloud

• 论文/Paper: http://arxiv.org/pdf/2303.06884
• 代码/Code: None

Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

• 论文/Paper: http://arxiv.org/pdf/2303.08134
• 代码/Code: https://github.com/zrrskywalker/point-nn

PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.08129
• 代码/Code: https://github.com/blvlab/pimae

Frequency-Modulated Point Cloud Rendering with Easy Editing

• 论文/Paper: http://arxiv.org/pdf/2303.07596
• 代码/Code: None

MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences

• 论文/Paper: http://arxiv.org/pdf/2303.08316
• 代码/Code: \url{https://github.com/skyhehe123/MSF}.

Rotation-Invariant Transformer for Point Cloud Matching

• 论文/Paper: http://arxiv.org/pdf/2303.08231
• 代码/Code: None

Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration

• 论文/Paper: http://arxiv.org/pdf/2303.09950
• 代码/Code: https://github.com/qinzheng93/GraphSCNet

Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.11203
• 代码/Code: https://github.com/l1997i/lim3d

Novel Class Discovery for 3D Point Cloud Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2303.11610
• 代码/Code: https://github.com/luigiriz/nops

Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration

• 论文/Paper: http://arxiv.org/pdf/2303.13290
• 代码/Code: https://github.com/gfmei/udpreg

返回目录/back

Anomaly Detection

Diversity-Measurable Anomaly Detection

• 论文/Paper: http://arxiv.org/pdf/2303.05047
• 代码/Code: None

返回目录/back

其他/Other

PA&DA: Jointly Sampling PAth and DAta for Consistent NAS

• 论文/Paper: http://arxiv.org/pdf/2302.14772
• 代码/Code: https://github.com/ShunLu91/PA-DA

Generic-to-Specific Distillation of Masked Autoencoders

• 论文/Paper: http://arxiv.org/pdf/2302.14771
• 代码/Code: https://github.com/pengzhiliang/G2SD.

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger

• 论文/Paper: http://arxiv.org/pdf/2302.14677
• 代码/Code: None

Turning a CLIP Model into a Scene Text Detector

• 论文/Paper: http://arxiv.org/pdf/2302.14338
• 代码/Code: None

Adversarial Attack with Raindrops

• 论文/Paper: http://arxiv.org/pdf/2302.14267
• 代码/Code: None

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

• 论文/Paper: http://arxiv.org/pdf/2302.14115
• 代码/Code: None

DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2302.14685
• 代码/Code: None

Neural Video Compression with Diverse Contexts

• 论文/Paper: http://arxiv.org/pdf/2302.14402
• 代码/Code: https://github.com/microsoft/DCVC

Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation

• 论文/Paper: http://arxiv.org/pdf/2302.14290
• 代码/Code: None

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

• 论文/Paper: http://arxiv.org/pdf/2303.00748
• 代码/Code: https://github.com/ofsoundof/grl-image-restoration

Quality-aware Pre-trained Models for Blind Image Quality Assessment

• 论文/Paper: http://arxiv.org/pdf/2303.00521
• 代码/Code: None

Renderable Neural Radiance Map for Visual Navigation

• 论文/Paper: http://arxiv.org/pdf/2303.00304
• 代码/Code: None

Single Image Backdoor Inversion via Robust Smoothed Classifiers

• 论文/Paper: http://arxiv.org/pdf/2303.00215
• 代码/Code: https://github.com/locuslab/smoothinv

Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training

• 论文/Paper: http://arxiv.org/pdf/2303.00040
• 代码/Code: None

Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation

• 论文/Paper: http://arxiv.org/pdf/2303.01311
• 代码/Code: None

MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering

• 论文/Paper: http://arxiv.org/pdf/2303.01239
• 代码/Code: https://github.com/jingjing12110/MixPHM

Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness

• 论文/Paper: http://arxiv.org/pdf/2303.00971
• 代码/Code: https://github.com/zhijieshen-bjtu/dopnet

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

• 论文/Paper: http://arxiv.org/pdf/2303.00914
• 代码/Code: None

Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision

• 论文/Paper: http://arxiv.org/pdf/2303.00885
• 代码/Code: None

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training

• 论文/Paper: http://arxiv.org/pdf/2303.00874
• 代码/Code: https://github.com/yutinghe-list/gvsl

Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression

• 论文/Paper: http://arxiv.org/pdf/2303.01052
• 代码/Code: None

UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy

• 论文/Paper: http://arxiv.org/pdf/2303.00938
• 代码/Code: None

Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

• 论文/Paper: http://arxiv.org/pdf/2303.02151
• 代码/Code: https://github.com/ZrrSkywalker/CaFo.

Zero-shot Object Counting

• 论文/Paper: http://arxiv.org/pdf/2303.02001
• 代码/Code: https://github.com/cvlab-stonybrook/zero-shot-counting

EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

• 论文/Paper: http://arxiv.org/pdf/2303.01904
• 代码/Code: None

Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering

• 论文/Paper: http://arxiv.org/pdf/2303.01903
• 代码/Code: https://github.com/MILVLG/prophet

Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models

• 论文/Paper: http://arxiv.org/pdf/2303.01869
• 代码/Code: None

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving

• 论文/Paper: http://arxiv.org/pdf/2303.01788
• 代码/Code: None

Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement

• 论文/Paper: http://arxiv.org/pdf/2303.01765
• 代码/Code: None

Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems

• 论文/Paper: http://arxiv.org/pdf/2303.01669
• 代码/Code: None

Hierarchical discriminative learning improves visual representations of biomedical microscopy

• 论文/Paper: http://arxiv.org/pdf/2303.01605
• 代码/Code: None

A Meta-Learning Approach to Predicting Performance and Data Requirements

• 论文/Paper: http://arxiv.org/pdf/2303.01598
• 代码/Code: None

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction

• 论文/Paper: http://arxiv.org/pdf/2303.01573
• 代码/Code: None

Detecting Human-Object Contact in Images

• 论文/Paper: http://arxiv.org/pdf/2303.03373
• 代码/Code: None

MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision

• 论文/Paper: http://arxiv.org/pdf/2303.03315
• 代码/Code: None

Masked Images Are Counterfactual Samples for Robust Fine-tuning

• 论文/Paper: http://arxiv.org/pdf/2303.03052
• 代码/Code: None

UniHCP: A Unified Model for Human-Centric Perceptions

• 论文/Paper: http://arxiv.org/pdf/2303.02936
• 代码/Code: None

PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow

• 论文/Paper: http://arxiv.org/pdf/2303.02595
• 代码/Code: None

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining

• 论文/Paper: http://arxiv.org/pdf/2303.02489
• 代码/Code: None

DistilPose: Tokenized Pose Regression with Heatmap Distillation

• 论文/Paper: http://arxiv.org/pdf/2303.02455
• 代码/Code: None

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

• 论文/Paper: http://arxiv.org/pdf/2303.02165
• 代码/Code: https://github.com/alibaba/lightweight-neural-architecture-search

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization

• 论文/Paper: http://arxiv.org/pdf/2303.03108
• 代码/Code: None

Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding

• 论文/Paper: http://arxiv.org/pdf/2303.04077
• 代码/Code: None

Guiding Pseudo-labels with Uncertainty Estimation for Test-Time Adaptation

• 论文/Paper: http://arxiv.org/pdf/2303.03770
• 代码/Code: None

Learning Discriminative Representations for Skeleton Based Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2303.03729
• 代码/Code: None

MOSO: Decomposing MOtion, Scene and Object for Video Prediction

• 论文/Paper: http://arxiv.org/pdf/2303.03684
• 代码/Code: None

RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes

• 论文/Paper: http://arxiv.org/pdf/2303.04456
• 代码/Code: https://github.com/twhui/rm-depth

A Light Weight Model for Active Speaker Detection

• 论文/Paper: http://arxiv.org/pdf/2303.04439
• 代码/Code: https://github.com/junhua-liao/light-asd

Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes

• 论文/Paper: http://arxiv.org/pdf/2303.04249
• 代码/Code: None

CUDA: Convolution-based Unlearnable Datasets

• 论文/Paper: http://arxiv.org/pdf/2303.04278
• 代码/Code: None

Masked Image Modeling with Local Multi-Scale Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2303.05251
• 代码/Code: None

Revisiting Rotation Averaging: Uncertainties and Robust Losses

• 论文/Paper: http://arxiv.org/pdf/2303.05195
• 代码/Code: https://github.com/zhangganlin/globalsfmpy

Text-Visual Prompting for Efficient 2D Temporal Video Grounding

• 论文/Paper: http://arxiv.org/pdf/2303.04995
• 代码/Code: None

MVImgNet: A Large-scale Dataset of Multi-view Images

• 论文/Paper: http://arxiv.org/pdf/2303.06042
• 代码/Code: None

Neuron Structure Modeling for Generalizable Remote Physiological Measurement

• 论文/Paper: http://arxiv.org/pdf/2303.05955
• 代码/Code: https://github.com/lupaopao/nest

3D Cinemagraphy from a Single Image

• 论文/Paper: http://arxiv.org/pdf/2303.05724
• 代码/Code: None

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining

• 论文/Paper: http://arxiv.org/pdf/2303.05675
• 代码/Code: https://github.com/OpenGVLab/HumanBench

TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets

• 论文/Paper: http://arxiv.org/pdf/2303.05762
• 代码/Code: https://github.com/chenweixin107/trojdiff

Modality-Agnostic Debiasing for Single Domain Generalization

• 论文/Paper: http://arxiv.org/pdf/2303.07123
• 代码/Code: None

Upcycling Models under Domain and Category Shift

• 论文/Paper: http://arxiv.org/pdf/2303.07110
• 代码/Code: https://github.com/ispc-lab/glc

Prototype-based Embedding Network for Scene Graph Generation

• 论文/Paper: http://arxiv.org/pdf/2303.07096
• 代码/Code: None

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID

• 论文/Paper: http://arxiv.org/pdf/2303.07065
• 代码/Code: https://github.com/vimar-gu/MSINet

Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling

• 论文/Paper: http://arxiv.org/pdf/2303.06949
• 代码/Code: None

Progressive Open Space Expansion for Open-Set Model Attribution

• 论文/Paper: http://arxiv.org/pdf/2303.06877
• 代码/Code: https://github.com/tianyunyoung/pose

Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images

• 论文/Paper: http://arxiv.org/pdf/2303.06873
• 代码/Code: https://github.com/HHHedo/IBMIL

Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning

• 论文/Paper: http://arxiv.org/pdf/2303.06870
• 代码/Code: https://github.com/megvii-research/US3L-CVPR2023.

Adaptive Data-Free Quantization

• 论文/Paper: http://arxiv.org/pdf/2303.06869
• 代码/Code: https://github.com/hfutqian/adadfq

Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective

• 论文/Paper: http://arxiv.org/pdf/2303.06859
• 代码/Code: https://github.com/lixinustc/casual-ir-dil

Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies

• 论文/Paper: http://arxiv.org/pdf/2303.06856
• 代码/Code: None

Universal Instance Perception as Object Discovery and Retrieval

• 论文/Paper: http://arxiv.org/pdf/2303.06674
• 代码/Code: https://github.com/MasterBin-IIAU/UNINEXT

Iterative Geometry Encoding Volume for Stereo Matching

• 论文/Paper: http://arxiv.org/pdf/2303.06615
• 代码/Code: https://github.com/gangweix/igev

Regularized Vector Quantization for Tokenized Image Synthesis

• 论文/Paper: http://arxiv.org/pdf/2303.06424
• 代码/Code: None

Semi-supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination

• 论文/Paper: http://arxiv.org/pdf/2303.06380
• 代码/Code: None

CASP-Net: Rethinking Video Saliency Prediction from an Audio-VisualConsistency Perceptual Perspective

• 论文/Paper: http://arxiv.org/pdf/2303.06357
• 代码/Code: None

DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation

• 论文/Paper: http://arxiv.org/pdf/2303.06285
• 代码/Code: https://github.com/yueming6568/deltaedit

Diversity-Aware Meta Visual Prompting

• 论文/Paper: http://arxiv.org/pdf/2303.08138
• 代码/Code: https://github.com/shikiw/dam-vp

Blind Video Deflickering by Neural Filtering with a Flawed Atlas

• 论文/Paper: http://arxiv.org/pdf/2303.08120
• 代码/Code: https://github.com/chenyanglei/all-in-one-deflicker

Non-Contrastive Unsupervised Learning of Physiological Signals from Video

• 论文/Paper: http://arxiv.org/pdf/2303.07944
• 代码/Code: None

DAA: A Delta Age AdaIN operation for age estimation via binary code transformer

• 论文/Paper: http://arxiv.org/pdf/2303.07929
• 代码/Code: None

You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos

• 论文/Paper: http://arxiv.org/pdf/2303.07863
• 代码/Code: None

NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images

• 论文/Paper: http://arxiv.org/pdf/2303.07653
• 代码/Code: None

I$^2$-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs

• 论文/Paper: http://arxiv.org/pdf/2303.07634
• 代码/Code: None

V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

• 论文/Paper: http://arxiv.org/pdf/2303.07601
• 代码/Code: https://github.com/ucla-mobility/V2V4Real

Bi-directional Distribution Alignment for Transductive Zero-Shot Learning

• 论文/Paper: http://arxiv.org/pdf/2303.08698
• 代码/Code: https://github.com/Zhicaiwww/Bi-VAEGAN

Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry

• 论文/Paper: http://arxiv.org/pdf/2303.08658
• 代码/Code: https://github.com/Kebii/R2ET.

Lana: A Language-Capable Navigator for Instruction Following and Generation

• 论文/Paper: http://arxiv.org/pdf/2303.08409
• 代码/Code: https://github.com/wxh1996/lana-vln

Rethinking Optical Flow from Geometric Matching Consistent Perspective

• 论文/Paper: http://arxiv.org/pdf/2303.08384
• 代码/Code: https://github.com/dqiaole/matchflow

Watch or Listen: Robust Audio-Visual Speech Recognition with Visual Corruption Modeling and Reliability Scoring

• 论文/Paper: http://arxiv.org/pdf/2303.08536
• 代码/Code: https://github.com/joannahong/av-relscore

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings

• 论文/Paper: http://arxiv.org/pdf/2303.09352
• 代码/Code: https://github.com/uitml/nohub

A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation

• 论文/Paper: http://arxiv.org/pdf/2303.09165
• 代码/Code: https://github.com/huitangtang/on_the_utility_of_synthetic_data

Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning

• 论文/Paper: http://arxiv.org/pdf/2303.09483
• 代码/Code: https://github.com/kim-sanghwan/ancl

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

• 论文/Paper: http://arxiv.org/pdf/2303.09998
• 代码/Code: None

Adversarial Counterfactual Visual Explanations

• 论文/Paper: http://arxiv.org/pdf/2303.09962
• 代码/Code: None

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

• 论文/Paper: http://arxiv.org/pdf/2303.09875
• 代码/Code: None

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

• 论文/Paper: http://arxiv.org/pdf/2303.09870
• 代码/Code: None

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior

• 论文/Paper: http://arxiv.org/pdf/2303.09757
• 代码/Code: https://github.com/jiaqixuac/MAP-Net

LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding

• 论文/Paper: http://arxiv.org/pdf/2303.09665
• 代码/Code: None

On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering

• 论文/Paper: http://arxiv.org/pdf/2303.09877
• 代码/Code: https://github.com/DanielTrosten/DeepMVC

3D Concept Learning and Reasoning from Multi-View Images

• 论文/Paper: http://arxiv.org/pdf/2303.11327
• 代码/Code: None

Picture that Sketch: Photorealistic Image Generation from Abstract Sketches

• 论文/Paper: http://arxiv.org/pdf/2303.11162
• 代码/Code: None

Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning

• 论文/Paper: http://arxiv.org/pdf/2303.11101
• 代码/Code: None

Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data

• 论文/Paper: http://arxiv.org/pdf/2303.11066
• 代码/Code: https://github.com/megvii-research/FullMatch.

Feature Alignment and Uniformity for Test Time Adaptation

• 论文/Paper: http://arxiv.org/pdf/2303.10902
• 代码/Code: None

EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

• 论文/Paper: http://arxiv.org/pdf/2303.10876
• 代码/Code: https://github.com/mediabrain-sjtu/eqmotion

Trainable Projected Gradient Method for Robust Fine-tuning

• 论文/Paper: http://arxiv.org/pdf/2303.10720
• 代码/Code: \url{https://github.com/PotatoTian/TPGM}.

Partial Network Cloning

• 论文/Paper: http://arxiv.org/pdf/2303.10597
• 代码/Code: https://github.com/jngwenye/pncloning

Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning

• 论文/Paper: http://arxiv.org/pdf/2303.10482
• 代码/Code: https://github.com/szzexpoi/poem

Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection

• 论文/Paper: http://arxiv.org/pdf/2303.10449
• 代码/Code: https://github.com/lufan31/et-ood

DeAR: Debiasing Vision-Language Models with Additive Residuals

• 论文/Paper: http://arxiv.org/pdf/2303.10431
• 代码/Code: None

3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

• 论文/Paper: http://arxiv.org/pdf/2303.10406
• 代码/Code: https://github.com/colorful-liyu/3dqd

Sharpness-Aware Gradient Matching for Domain Generalization

• 论文/Paper: http://arxiv.org/pdf/2303.10353
• 代码/Code: https://github.com/wang-pengfei/sagm

Extracting Class Activation Maps from Non-Discriminative Features as well

• 论文/Paper: http://arxiv.org/pdf/2303.10334
• 代码/Code: https://github.com/zhaozhengchen/lpcam

Make Landscape Flatter in Differentially Private Federated Learning

• 论文/Paper: http://arxiv.org/pdf/2303.11242
• 代码/Code: None

Computationally Budgeted Continual Learning: What Does Matter?

• 论文/Paper: http://arxiv.org/pdf/2303.11165
• 代码/Code: https://github.com/drimpossible/BudgetCL.

TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization

• 论文/Paper: http://arxiv.org/pdf/2303.11135
• 代码/Code: https://github.com/ziquanliu/cvpr2023-twins

Efficient Map Sparsification Based on 2D and 3D Discretized Grids

• 论文/Paper: http://arxiv.org/pdf/2303.10882
• 代码/Code: https://github.com/fishmarch/SLAM_Map_Compression.

ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals

• 论文/Paper: http://arxiv.org/pdf/2303.12071
• 代码/Code: None

Joint Visual Grounding and Tracking with Natural Language Specification

• 论文/Paper: http://arxiv.org/pdf/2303.12027
• 代码/Code: https://github.com/lizhou-cs/JointNLT.

Automatic evaluation of herding behavior in towed fishing gear using end-to-end training of CNN and attention-based networks

• 论文/Paper: http://arxiv.org/pdf/2303.12016
• 代码/Code: None

Learning A Sparse Transformer Network for Effective Image Deraining

• 论文/Paper: http://arxiv.org/pdf/2303.11950
• 代码/Code: https://github.com/cschenxiang/drsformer

Context De-confounded Emotion Recognition

• 论文/Paper: http://arxiv.org/pdf/2303.11921
• 代码/Code: None

Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective

• 论文/Paper: http://arxiv.org/pdf/2303.11906
• 代码/Code: None

The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector

• 论文/Paper: http://arxiv.org/pdf/2303.11828
• 代码/Code: https://github.com/zhoucx117/uaed

Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking

• 论文/Paper: http://arxiv.org/pdf/2303.11791
• 代码/Code: None

Detecting Everything in the Open World: Towards Universal Object Detection

• 论文/Paper: http://arxiv.org/pdf/2303.11749
• 代码/Code: None

Data-efficient Large Scale Place Recognition with Graded Similarity Supervision

• 论文/Paper: http://arxiv.org/pdf/2303.11739
• 代码/Code: https://github.com/marialeyvallina/generalized_contrastive_loss

Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices

• 论文/Paper: http://arxiv.org/pdf/2303.11730
• 代码/Code: https://github.com/xu-jingyi/algebraicmr

Learning a 3D Morphable Face Reflectance Model from Low-cost Data

• 论文/Paper: http://arxiv.org/pdf/2303.11686
• 代码/Code: https://github.com/yxuhan/reflectancemm

Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns

• 论文/Paper: http://arxiv.org/pdf/2303.11678
• 代码/Code: None

ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization

• 论文/Paper: http://arxiv.org/pdf/2303.11674
• 代码/Code: https://github.com/lingeringlight/aloft

Visibility Constrained Wide-band Illumination Spectrum Design for Seeing-in-the-Dark

• 论文/Paper: http://arxiv.org/pdf/2303.11642
• 代码/Code: Available:https://github.com/MyNiuuu/VCSD.

Human Pose as Compositional Tokens

• 论文/Paper: http://arxiv.org/pdf/2303.11638
• 代码/Code: https://github.com/Gengzigang/PCT

Equiangular Basis Vectors

• 论文/Paper: http://arxiv.org/pdf/2303.11637
• 代码/Code: https://github.com/njust-vipgroup/equiangular-basis-vectors

HRDFuse: Monocular 360°Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions

• 论文/Paper: http://arxiv.org/pdf/2303.11616
• 代码/Code: None

Boundary Unlearning

• 论文/Paper: http://arxiv.org/pdf/2303.11570
• 代码/Code: None

One-to-Few Label Assignment for End-to-End Dense Detection

• 论文/Paper: http://arxiv.org/pdf/2303.11567
• 代码/Code: https://github.com/strongwolf/o2f.

Fix the Noise: Disentangling Source Feature for Controllable Domain Translation

• 论文/Paper: http://arxiv.org/pdf/2303.11545
• 代码/Code: https://github.com/LeeDongYeun/FixNoise

PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment

• 论文/Paper: http://arxiv.org/pdf/2303.11526
• 代码/Code: fromhttps://github.com/Zhang-VISLab.

Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings

• 论文/Paper: http://arxiv.org/pdf/2303.11502
• 代码/Code: None

Polynomial Implicit Neural Representations For Large Diverse Datasets

• 论文/Paper: http://arxiv.org/pdf/2303.11424
• 代码/Code: https://github.com/rajhans0/poly_inr

Persistent Nature: A Generative Model of Unbounded 3D Worlds

• 论文/Paper: http://arxiv.org/pdf/2303.13515
• 代码/Code: None

MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training

• 论文/Paper: http://arxiv.org/pdf/2303.13510
• 代码/Code: https://github.com/smartbot-pjlab/mv-jar

NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations

• 论文/Paper: http://arxiv.org/pdf/2303.13483
• 代码/Code: None

Egocentric Audio-Visual Object Localization

• 论文/Paper: http://arxiv.org/pdf/2303.13471
• 代码/Code: https://github.com/wikichao/ego-av-loc

Improving Generalization with Domain Convex Game

• 论文/Paper: http://arxiv.org/pdf/2303.13297
• 代码/Code: None

Visual-Language Prompt Tuning with Knowledge-guided Context Optimization

• 论文/Paper: http://arxiv.org/pdf/2303.13283
• 代码/Code: https://github.com/htyao89/kgcoop

TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision

• 论文/Paper: http://arxiv.org/pdf/2303.13273
• 代码/Code: https://github.com/plusmultiply/taps3d

A Bag-of-Prototypes Representation for Dataset-Level Applications

• 论文/Paper: http://arxiv.org/pdf/2303.13251
• 代码/Code: None

CrOC: Cross-View Online Clustering for Dense Visual Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2303.13245
• 代码/Code: https://github.com/stegmuel/croc

Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization

• 论文/Paper: http://arxiv.org/pdf/2303.13232
• 代码/Code: None

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels

• 论文/Paper: http://arxiv.org/pdf/2303.13223
• 代码/Code: https://github.com/jameslahm/SCPNet.

Marching-Primitives: Shape Abstraction from Signed Distance Function

• 论文/Paper: http://arxiv.org/pdf/2303.13190
• 代码/Code: https://github.com/ChirikjianLab/Marching-Primitives.git.

CP$^3$: Channel Pruning Plug-in for Point-based Networks

• 论文/Paper: http://arxiv.org/pdf/2303.13097
• 代码/Code: None

Box-Level Active Detection

• 论文/Paper: http://arxiv.org/pdf/2303.13089
• 代码/Code: https://github.com/lyumengyao/blad.

Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization

• 论文/Paper: http://arxiv.org/pdf/2303.13087
• 代码/Code: https://github.com/zhuohuangai/sharpdro

CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching

• 论文/Paper: http://arxiv.org/pdf/2303.13076
• 代码/Code: https://github.com/tgxs002/cora

PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360$^{\circ}$

• 论文/Paper: http://arxiv.org/pdf/2303.13071
• 代码/Code: None

Human Guided Ground-truth Generation for Realistic Image Super-resolution

• 论文/Paper: http://arxiv.org/pdf/2303.13069
• 代码/Code: https://github.com/chrisdud0257/hggt

SIEDOB: Semantic Image Editing by Disentangling Object and Background

• 论文/Paper: http://arxiv.org/pdf/2303.13062
• 代码/Code: https://github.com/wuyangluo/siedob

Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection

• 论文/Paper: http://arxiv.org/pdf/2303.13051
• 代码/Code: None

Top-Down Visual Attention from Analysis by Synthesis

• 论文/Paper: http://arxiv.org/pdf/2303.13043
• 代码/Code: None

Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention

• 论文/Paper: http://arxiv.org/pdf/2303.13014
• 代码/Code: None

Backdoor Defense via Adaptively Splitting Poisoned Dataset

• 论文/Paper: http://arxiv.org/pdf/2303.12993
• 代码/Code: https://github.com/kuofenggao/asd

LightPainter: Interactive Portrait Relighting with Freehand Scribble

• 论文/Paper: http://arxiv.org/pdf/2303.12950
• 代码/Code: None

Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline

• 论文/Paper: http://arxiv.org/pdf/2303.12930
• 代码/Code: None

Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs

• 论文/Paper: http://arxiv.org/pdf/2303.13211
• 代码/Code: None

Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models

• 论文/Paper: http://arxiv.org/pdf/2303.13031
• 代码/Code: https://github.com/andreguo/hdrtvdm

Open Set Action Recognition via Multi-Label Evidential Learning

• 论文/Paper: http://arxiv.org/pdf/2303.12698
• 代码/Code: None

Dense Network Expansion for Class Incremental Learning

• 论文/Paper: http://arxiv.org/pdf/2303.12696
• 代码/Code: None

VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functions

• 论文/Paper: http://arxiv.org/pdf/2303.12675
• 代码/Code: None

Correlational Image Modeling for Self-Supervised Visual Pre-Training

• 论文/Paper: http://arxiv.org/pdf/2303.12670
• 代码/Code: None

An Extended Study of Human-like Behavior under Adversarial Training

• 论文/Paper: http://arxiv.org/pdf/2303.12669
• 代码/Code: None

RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Dataset

• 论文/Paper: http://arxiv.org/pdf/2303.12564
• 代码/Code: None

Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding

• 论文/Paper: http://arxiv.org/pdf/2303.12513
• 代码/Code: None

BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency

• 论文/Paper: http://arxiv.org/pdf/2303.12419
• 代码/Code: https://github.com/xu5zhao/bicro

Balanced Spherical Grid for Egocentric View Synthesis

• 论文/Paper: http://arxiv.org/pdf/2303.12408
• 代码/Code: https://github.com/changwoonchoi/EgoNeRF

Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos

• 论文/Paper: http://arxiv.org/pdf/2303.12370
• 代码/Code: https://github.com/svip-lab/weaksvr

Re-thinking Federated Active Learning based on Inter-class Diversity

• 论文/Paper: http://arxiv.org/pdf/2303.12317
• 代码/Code: https://github.com/raymin0223/logo

Learning a Depth Covariance Function

• 论文/Paper: http://arxiv.org/pdf/2303.12157
• 代码/Code: None

Positive-Augmented Constrastive Learning for Image and Video Captioning Evaluation

• 论文/Paper: http://arxiv.org/pdf/2303.12112
• 代码/Code: https://github.com/aimagelab/pacscore

Music-Driven Group Choreography

• 论文/Paper: http://arxiv.org/pdf/2303.12337
• 代码/Code: None

Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

• 论文/Paper: https://arxiv.org/abs/2303.17602
• 代码/Code: https://github.com/tinyvision/SOLIDER

DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects

• 论文/Paper: https://www.chenbao.tech/dexart/
• 代码/Code: https://github.com/Kami-code/dexart-release

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