Qingsen Yan

papers

408

total citations

papers (12)

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection

AAAI 2024arXiv

163

citations

HVI: A New Color Space for Low-light Image Enhancement

CVPR 2025arXiv

citations

Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning

CVPR 2022arXiv

citations

A Unified HDR Imaging Method With Pixel and Patch Level

CVPR 2023arXiv

citations

Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach

CVPR 2024arXiv

citations

SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders

CVPR 2023arXiv

citations

Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy

ICCV 2025arXiv

citations

Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge

ICCV 2025

citations

Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network

CVPR 2020

citations

Qingsen Yan

papers (12)

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection

HVI: A New Color Space for Low-light Image Enhancement

Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning

A Unified HDR Imaging Method With Pixel and Patch Level

Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach

SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders

Generating Content for HDR Deghosting from Frequency View

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes

TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings

Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy

Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge

Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network

papers (12)

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection

HVI: A New Color Space for Low-light Image Enhancement

Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning

A Unified HDR Imaging Method With Pixel and Patch Level

Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach

SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders

Generating Content for HDR Deghosting from Frequency View

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes

TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings

Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy

Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge

Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network