An efficient blur kernel estimation method for blind image Super-Resolution

You only compress once: Towards effective and elastic BERT compression via exploit-explore stochastic nature gradient

Deep hybrid transformer network for robust modulation classification in wireless communications

Continual Face Forgery Detection via Historical Distribution Preserving

Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation

CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection

Beyond Inter-Item Relations: Dynamic Adaptive Mixture-of-Experts for LLM-Based Sequential Recommendation

StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model

EASYINV: TOWARD FAST AND BETTER DDIM INVERSION

Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation

Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation

ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models

Image Captioning via Dynamic Path Customization

3D-GRES: Generalized 3D Referring Expression Segmentation

MOVE AND ACT: ENHANCED OBJECT MANIPULATION AND BACKGROUND INTEGRITY FOR IMAGE EDITING

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model

AccDiffusion: An Accurate Method for Higher-Resolution Image Generation

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers

Multi-branch Collaborative Learning Network for 3D Visual Grounding

Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model

ANYSR: REALIZING IMAGE SUPER-RESOLUTION AS ANY-SCALE, ANY-RESOURCE

Oracle Bone Inscriptions Multi-modal Dataset

HRSAM: Efficiently Segment Anything in High-Resolution Images

Identity-Aware Variational Autoencoder for Face Swapping

HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection

Local Manifold Learning for No-Reference Image Quality Assessment

UIO-LLMS: UNBIASED INCREMENTAL OPTIMIZATION FOR LONG-CONTEXT LLMS

Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text

Depth-Guided Semi-Supervised Instance Segmentation

Evaluating and Analyzing Relationship Hallucinations in LVLMs

AnyTrans: Translate AnyText in the Image with Large Scale Models

VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models

Beat: Bi-directional One-to-Many Embedding Alignment for Text-based Person Retrieval

SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation

Image Captioning via Dynamic Path Customization

UniPTS: A Unified Framework for Proficient Post-Training Sparsity

FocSAM: Delving Deeply into Focused Objects in Segmenting Anything

GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane

Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion

Optg: Optimizing Gradient-Driven Criteria in Network Sparsity

Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference

X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation

GraCo: Granularity-Controllable Interactive Segmentation

ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion

Cantor: Inspiring Multimodal Chain-of-Thought of MLLM

CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method

Multi-Modal Prompt Learning on Blind Image Quality Assessment

NeRF-DetS: Enhancing Multi-View 3D Object Detection with Sampling-adaptive Network of Continuous NeRF-based Representation

ConCLVD: Controllable Chinese Landscape Video Generation via Diffusion Model

Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization

CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible-Infrared Person Re-Identification

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model

Deep Instruction Tuning for Segment Anything Model

DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis

Learning Image Demoiréing from Unpaired Real Data

Toward Open-Set Human Object Interaction Detection

Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models

AFFINEQUANT: AFFINE TRANSFORMATION QUANTIZATION FOR LARGE LANGUAGE MODELS

DMAD: Dual Memory Bank for Real-World Anomaly Detection

Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers

Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling

EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs

An Efficient Blur Kernel Estimation Method for Blind Image Super-Resolution

Shadow-aware dynamic convolution for shadow removal

A closer look at branch classifiers of multi-exit architectures

Unified-Width Adaptive Dynamic Network for All-In-One Image Restoration

Feature Denoising Diffusion Model for Blind Image Quality Assessment

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation

Cross-Modality Perturbation Synergy Attack for Person Re-identification

Learning Image Demoiréing from Unpaired Real Data

Defense Against Adversarial Attacks Using Topology Aligning Adversarial Training

Weakly-Supervised RGBD Video Object Segmentation

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Two-Stage Deep Learning Segmentation for Tiny Brain Regions

Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution

Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization

EXPLORING TARGET REPRESENTATIONS FOR MASKED AUTOENCODERS

AFFINEQUANT: AFFINE TRANSFORMATION QUANTIZATION FOR LARGE LANGUAGE MODELS

DYNAMIC SPARSE NO TRAINING ?: TRAINING-FREE FINE-TUNING FOR SPARSE LLMS

MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization

Adaptive Zone Learning for Weakly Supervised Object Localization

FUNCTIONALLY SIMILAR MULTI-LABEL KNOWLEDGE DISTILLATION

GreedyAgent: Crafting Efficient Agents for Meta-learning from Learning Curves via Greedy Algorithm Selection