CVPR2023论文思维导图

integrally Pre-Trained Transformer Pyramid Networks

Stitchable Neural Networks

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

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

Vision Transformer with Super Token Sampling

Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction

GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

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

Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

Generic-to-Specific Distillation of Masked Autoencoders

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

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis

Panoptic Lifting for 3D Scene Understanding with Neural Fields

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

DETRs with Hybrid Matching

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

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

Video Probabilistic Diffusion Models in Projected Latent Space

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

Imagic: Text-Based Real Image Editing with Diffusion Models

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

DiffRF: Rendering-guided 3D Radiance Field Diffusion

MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets

Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption

Integrally Pre-Trained Transformer Pyramid Networks

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

Learning Trajectory-Aware Transformer for Video Super-Resolution

Structured 3D Features for Reconstructing Relightable and Animatable Avatars

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods

Teaching Structured Vision&Language Concepts to Vision&Language Models

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

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

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining

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

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

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

DETRs with Hybrid Matching

Enhanced Training of Query-Based Object Detection via Selective Query Recollection

Simple Cues Lead to a Strong Multi-Object Tracker

Learning Trajectory-Aware Transformer for Video Super-Resolution

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

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

OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields

SparsePose: Sparse-View Camera Pose Regression and Refinement

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

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

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

Continuous Sign Language Recognition with Correlation Network

MOSO: Decomposing MOtion, Scene and Object for Video Prediction

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

Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves

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

Reversible Vision Transformers

Neural Intrinsic Embedding for Non-rigid Point Cloud Matching

Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting

PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees

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

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

MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection

Delivering Arbitrary-Modal Semantic Segmentation

Token Contrast for Weakly-Supervised Semantic Segmentation

Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation

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

Renderable Neural Radiance Map for Visual Navigation

Zero-shot Object Counting

Multimodal Industrial Anomaly Detection via Hybrid Fusion

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

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

Interactive Segmentation as Gaussian Process Classification

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger

SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries

SCOTCH and SODA: A Transformer Video Shadow Detection Framework

DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization

RelightableHands: Efficient Neural Relighting of Articulated Hand Models

Token Turing Machines

Single Image Backdoor Inversion via Robust Smoothed Classifiers

To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision

HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics

A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others

RelightableHands: Efficient Neural Relighting of Articulated Hand Models

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

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

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

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

Learning Neural Parametric Head Models

A Meta-Learning Approach to Predicting Performance and Data Requirements

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

Masked Images Are Counterfactual Samples for Robust Fine-tuning

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

Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization

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