:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Sen, Zeng, Shao, Gu, Tianjun, Zhang, Zhizhong, Zhang, Ruixin, Ding, Shouhong, Zhang, Jingyun, Wang, Jun, Tan, Xin, Xie, Yuan, Ma, Lizhuang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2507.08380
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Vision-language models lag human performance on physical dynamics and intent reasoning
by: Gu, Tianjun, et al.
Published: (2026)

Switchable Token-Specific Codebook Quantization For Face Image Compression
by: Wang, Yongbo, et al.
Published: (2025)

S2GS: Streaming Semantic Gaussian Splatting for Online Scene Understanding and Reconstruction
by: Zhang, Renhe, et al.
Published: (2026)

DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation
by: Gu, Tianjun, et al.
Published: (2025)

Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception
by: Chen, Haoming, et al.
Published: (2024)

SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation
by: Hu, Teng, et al.
Published: (2024)

COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction
by: Ma, Qihang, et al.
Published: (2023)

SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
by: Chen, Sichen, et al.
Published: (2024)

ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
by: Wang, Jingyun, et al.
Published: (2024)

Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models
by: Jin, Jianlong, et al.
Published: (2025)

Large Continual Instruction Assistant
by: Qiao, Jingyang, et al.
Published: (2024)

EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR
by: Peng, Zhengyuan, et al.
Published: (2025)

One-for-More: Continual Diffusion Model for Anomaly Detection
by: Li, Xiaofan, et al.
Published: (2025)

PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks
by: Shang, Sheng, et al.
Published: (2025)

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
by: Liang, Jian, et al.
Published: (2023)

GSCompleter: A Distillation-Free Plugin for Metric-Aware 3D Gaussian Splatting Completion in Seconds
by: Gao, Ao, et al.
Published: (2026)

MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model
by: Wang, Sen, et al.
Published: (2024)

CF-VLM:CounterFactual Vision-Language Fine-tuning
by: Zhang, Jusheng, et al.
Published: (2025)

PFDepth: Heterogeneous Pinhole-Fisheye Joint Depth Estimation via Distortion-aware Gaussian-Splatted Volumetric Fusion
by: Zhang, Zhiwei, et al.
Published: (2025)

TALO: Pushing 3D Vision Foundation Models Towards Globally Consistent Online Reconstruction
by: Zhang, Fengyi, et al.
Published: (2025)

Test-Time Domain Generalization for Face Anti-Spoofing
by: Zhou, Qianyu, et al.
Published: (2024)

Towards Compatible Fine-tuning for Vision-Language Model Updates
by: Wang, Zhengbo, et al.
Published: (2024)

VCU-Bridge: Hierarchical Visual Connotation Understanding via Semantic Bridging
by: Zhong, Ming, et al.
Published: (2025)

Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors
by: Lin, Yunlong, et al.
Published: (2024)

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
by: Zhou, Huichi, et al.
Published: (2025)

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
by: Li, Xiaofan, et al.
Published: (2024)

GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision
by: Tan, Xin, et al.
Published: (2024)

Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification
by: Zhang, Zhizhong, et al.
Published: (2024)

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud
by: Yue, Yuanhao, et al.
Published: (2024)

Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation
by: Zhang, Xin, et al.
Published: (2025)

DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off
by: Li, Xiaofan, et al.
Published: (2026)

Binarized Low-light Raw Video Enhancement
by: Zhang, Gengchen, et al.
Published: (2024)

ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning
by: Qin, Xiaohan, et al.
Published: (2025)

JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement
by: Wu, Yuhui, et al.
Published: (2023)

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
by: Wang, Zhengbo, et al.
Published: (2024)

Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillation
by: Zhang, Kangkai, et al.
Published: (2024)

DEMOS: Dynamic Environment Motion Synthesis in 3D Scenes via Local Spherical-BEV Perception
by: Gong, Jingyu, et al.
Published: (2024)

Semantic-aware Adversarial Fine-tuning for CLIP
by: Zhang, Jiacheng, et al.
Published: (2026)

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling
by: Wang, Huanzhen, et al.
Published: (2026)

Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
by: Peng, Zelin, et al.
Published: (2024)