Bin Chen

27

Papers

122

Total Citations

Papers (27)

Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders

Adversarial Diffusion Compression for Real-World Image Super-Resolution

OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking

Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs

NeurIPS 2025arXiv

Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning

Efficient Self-Supervised Video Hashing with Selective State Spaces

Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation

Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning

GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution

OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding

GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval

MuseChat: A Conversational Music Recommendation System for Videos

Learning to Deblur Using Light Field Generated and Real Defocus Images

Learning Transferable Spatiotemporal Representations From Natural Script Knowledge

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models

GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization

GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild

An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability

Targeted Attack for Deep Hashing based Retrieval

AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter

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

KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles

Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models

Parameter-Free Neural Lens Blur Rendering for High-Fidelity Composites