Bin Li

31

Papers

2,387

Total Citations

Papers (31)

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning

Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling

Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport

Long-term Temporal Context Gathering for Neural Video Compression

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios

ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models

CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images

DLF: Extreme Image Compression with Dual-generative Latent Fusion

Multi-modal Multi-platform Person Re-Identification: Benchmark and Method

Neural Video Compression with Feature Modulation

Fast Adaptation for Human Pose Estimation via Meta-Optimization

DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization

MoML: Online Meta Adaptation for 3D Human Motion Prediction

Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models

Towards Practical Real-Time Neural Video Compression

PICD: Versatile Perceptual Image Compression with Diffusion Rendering

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking

Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks

EVER: Edge-Assisted Auto-Verification for Mobile MR-Aided Operation

Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking

SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion

Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Generative Latent Coding for Ultra-Low Bitrate Image Compression