Jian Zhang

83

Papers

1,879

Total Citations

Papers (83)

T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion

EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection

DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing

FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts

Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations

Adversarial Diffusion Compression for Real-World Image Super-Resolution

OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking

Joint Demosaicing and Denoising for Spike Camera

SkillMimic: Learning Basketball Interaction Skills from Demonstrations

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck

Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation

Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting

NetInfoF Framework: Measuring and Exploiting Network Usable Information

Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering

Expressive Multi-Agent Communication via Identity-Aware Learning

Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training

Super-Resolution Reconstruction from Bayer-Pattern Spike Streams

Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model

KPConvX: Modernizing Kernel Point Convolution with Kernel Attention

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation

360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model

Image Denoising via Adaptive Soft-Thresholding Based on Non-Local Samples

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing

Fine-Grained Video Captioning for Sports Narrative

Variational Convolutional Neural Network Pruning

Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks

Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting

Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences

Jo-SRC: A Contrastive Approach for Combating Noisy Labels

Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

Deep Generalized Unfolding Networks for Image Restoration

HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging

Image Disentanglement Autoencoder for Steganography Without Embedding

Ray Priors Through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation

Robust Invertible Image Steganography

Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration

Large-Capacity and Flexible Video Steganography via Invertible Neural Network

Multi-Agent Automated Machine Learning

Optimization-Inspired Cross-Attention Transformer for Compressive Sensing

Panoptic Compositional Feature Field for Editable Scene Rendering With Network-Inferred Labels via Metric Learning

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding

Higher-Order Inference for Multi-Class Log-Supermodular Models

Variational Few-Shot Learning

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach

Dense Deep Unfolding Network With 3D-CNN Prior for Snapshot Compressive Imaging

Super Resolve Dynamic Scene From Continuous Spike Streams

Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization

A Unified Continual Learning Framework with General Parameter-Efficient Tuning

DomainAdaptor: A Novel Approach to Test-time Adaptation

Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation

Implicit Neural Representation for Cooperative Low-light Image Enhancement

FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

Face Anti-Spoofing via Disentangled Representation Learning

Frequency Domain Model Augmentation for Adversarial Attack

Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation

Metric Learning Based Interactive Modulation for Real-World Super-Resolution

Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection

R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

MVDG: A Unified Multi-View Framework for Domain Generalization

Dynamic Attentive Graph Learning for Image Restoration

Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization

OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction

InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception

PointGAC: Geometric-Aware Codebook for Masked Point Modeling

Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints

Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild

A₀ : An Affordance-Aware Hierarchical Model for General Robotic Manipulation

ThumbShift: Modulating Perceived Object Properties through Dynamic Thumb Repositioning

Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks

Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization

A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction

Revisiting Interpolation for Noisy Label Correction

Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion

On the Downstream Performance of Compressed Word Embeddings

Field-wise Learning for Multi-field Categorical Data

AutoBSS: An Efficient Algorithm for Block Stacking Style Search

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning

CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography

Structured Control Nets for Deep Reinforcement Learning