Saved in:
| Main Authors: | Wang, Bin, Hu, Ruotong, Li, Wentong, Wang, Wenqian, Gao, Mingliang, Cong, Runmin, Zhang, Wei, Jiang, Xudong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.22125 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TDS-CLIP: Temporal Difference Side Network for Efficient VideoAction Recognition
by: Wang, Bin, et al.
Published: (2024)
by: Wang, Bin, et al.
Published: (2024)
Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion
by: Wang, Xiao, et al.
Published: (2023)
by: Wang, Xiao, et al.
Published: (2023)
VTD-CLIP: Video-to-Text Discretization via Prompting CLIP
by: Zhu, Wencheng, et al.
Published: (2025)
by: Zhu, Wencheng, et al.
Published: (2025)
GazeCLIP: Gaze-Guided CLIP with Adaptive-Enhanced Fine-Grained Language Prompt for Deepfake Attribution and Detection
by: Zhang, Yaning, et al.
Published: (2026)
by: Zhang, Yaning, et al.
Published: (2026)
TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors
by: Cheng, Wei-Yuan, et al.
Published: (2026)
by: Cheng, Wei-Yuan, et al.
Published: (2026)
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
by: Cong, Runmin, et al.
Published: (2025)
by: Cong, Runmin, et al.
Published: (2025)
DecoVLN: Decoupling Observation, Reasoning, and Correction for Vision-and-Language Navigation
by: Xin, Zihao, et al.
Published: (2026)
by: Xin, Zihao, et al.
Published: (2026)
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors
by: Lu, Haodong, et al.
Published: (2025)
by: Lu, Haodong, et al.
Published: (2025)
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video Segmentation
by: Fang, Hao, et al.
Published: (2025)
by: Fang, Hao, et al.
Published: (2025)
Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track
by: Pan, Feiyu, et al.
Published: (2024)
by: Pan, Feiyu, et al.
Published: (2024)
Video-KTR: Reinforcing Video Reasoning via Key Token Attribution
by: Wang, Ziyue, et al.
Published: (2026)
by: Wang, Ziyue, et al.
Published: (2026)
Harmonizing and Merging Source Models for CLIP-based Domain Generalization
by: Ding, Yuhe, et al.
Published: (2025)
by: Ding, Yuhe, et al.
Published: (2025)
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
by: Bai, Jiawang, et al.
Published: (2023)
by: Bai, Jiawang, et al.
Published: (2023)
MoCLIP-Lite: Efficient Video Recognition by Fusing CLIP with Motion Vectors
by: Huang, Binhua, et al.
Published: (2025)
by: Huang, Binhua, et al.
Published: (2025)
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
by: Wang, Jiapeng, et al.
Published: (2024)
by: Wang, Jiapeng, et al.
Published: (2024)
MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation
by: Jia, Weinan, et al.
Published: (2025)
by: Jia, Weinan, et al.
Published: (2025)
Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusion
by: Xue, Minglong, et al.
Published: (2024)
by: Xue, Minglong, et al.
Published: (2024)
Integrated Structural Prompt Learning for Vision-Language Models
by: Wang, Jiahui, et al.
Published: (2025)
by: Wang, Jiahui, et al.
Published: (2025)
Towards Robust and Generalizable Continuous Space-Time Video Super-Resolution with Events
by: Wei, Shuoyan, et al.
Published: (2025)
by: Wei, Shuoyan, et al.
Published: (2025)
Adversarial Prompt Injection Attack on Multimodal Large Language Models
by: Ding, Meiwen, et al.
Published: (2026)
by: Ding, Meiwen, et al.
Published: (2026)
GA-VLN: Geometry-Aware BEV Representation for Efficient Vision-Language Navigation
by: Yang, Jiahao, et al.
Published: (2026)
by: Yang, Jiahao, et al.
Published: (2026)
Explicit Uncertainty Modeling for Active CLIP Adaptation with Dual Prompt Tuning
by: Wang, Qian-Wei, et al.
Published: (2026)
by: Wang, Qian-Wei, et al.
Published: (2026)
Taming Real-World Space-Time Video Super-Resolution with One-Step Diffusion
by: Wei, Shuoyan, et al.
Published: (2026)
by: Wei, Shuoyan, et al.
Published: (2026)
MobileViCLIP: An Efficient Video-Text Model for Mobile Devices
by: Yang, Min, et al.
Published: (2025)
by: Yang, Min, et al.
Published: (2025)
Visual Attention Drifts,but Anchors Hold:Mitigating Hallucination in Multimodal Large Language Models via Cross-Layer Visual Anchors
by: Yang, Chengxu, et al.
Published: (2026)
by: Yang, Chengxu, et al.
Published: (2026)
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval
by: Zeng, Gangyan, et al.
Published: (2024)
by: Zeng, Gangyan, et al.
Published: (2024)
Beyond Global Scanning: Adaptive Visual State Space Modeling for Salient Object Detection in Optical Remote Sensing Images
by: Ren, Mengyu, et al.
Published: (2025)
by: Ren, Mengyu, et al.
Published: (2025)
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
by: Gao, Bin-Bin, et al.
Published: (2025)
by: Gao, Bin-Bin, et al.
Published: (2025)
From Sight to Insight: Unleashing Eye-Tracking in Weakly Supervised Video Salient Object Detection
by: Qin, Qi, et al.
Published: (2025)
by: Qin, Qi, et al.
Published: (2025)
AttriPrompt: Dynamic Prompt Composition Learning for CLIP
by: Zhan, Qiqi, et al.
Published: (2025)
by: Zhan, Qiqi, et al.
Published: (2025)
Neural Discrimination-Prompted Transformers for Efficient UHD Image Restoration and Enhancement
by: Wang, Cong, et al.
Published: (2026)
by: Wang, Cong, et al.
Published: (2026)
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
by: Huang, Chen, et al.
Published: (2024)
by: Huang, Chen, et al.
Published: (2024)
GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
by: Kim, Donghyeong, et al.
Published: (2025)
by: Kim, Donghyeong, et al.
Published: (2025)
Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models
by: Liu, Zijian, et al.
Published: (2026)
by: Liu, Zijian, et al.
Published: (2026)
From Heads to Neurons: Causal Attribution and Steering in Multi-Task Vision-Language Models
by: Wang, Qidong, et al.
Published: (2026)
by: Wang, Qidong, et al.
Published: (2026)
AnchorSync: Global Consistency Optimization for Long Video Editing
by: Liu, Zichi, et al.
Published: (2025)
by: Liu, Zichi, et al.
Published: (2025)
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
by: Tan, Chuangchuang, et al.
Published: (2024)
by: Tan, Chuangchuang, et al.
Published: (2024)
CLIP model is an Efficient Online Lifelong Learner
by: Wang, Leyuan, et al.
Published: (2024)
by: Wang, Leyuan, et al.
Published: (2024)
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP
by: Abbasi, Reza, et al.
Published: (2024)
by: Abbasi, Reza, et al.
Published: (2024)
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
by: Hirota, Yusuke, et al.
Published: (2024)
by: Hirota, Yusuke, et al.
Published: (2024)
Similar Items
-
TDS-CLIP: Temporal Difference Side Network for Efficient VideoAction Recognition
by: Wang, Bin, et al.
Published: (2024) -
Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion
by: Wang, Xiao, et al.
Published: (2023) -
VTD-CLIP: Video-to-Text Discretization via Prompting CLIP
by: Zhu, Wencheng, et al.
Published: (2025) -
GazeCLIP: Gaze-Guided CLIP with Adaptive-Enhanced Fine-Grained Language Prompt for Deepfake Attribution and Detection
by: Zhang, Yaning, et al.
Published: (2026) -
TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors
by: Cheng, Wei-Yuan, et al.
Published: (2026)