:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Fan, Wan-Cyuan, Luo, Jiayun, Kutscher, Declan, Sigal, Leonid, Gupta, Ritwik
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2603.19203
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Response Wide Shut: Surprising Observations in Basic Vision Language Model Capabilities
by: Chandhok, Shivam, et al.
Published: (2024)

To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
by: Luo, Jiayun, et al.
Published: (2025)

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks
by: Fan, Wan-Cyuan, et al.
Published: (2024)

REOrdering Patches Improves Vision Models
by: Kutscher, Declan, et al.
Published: (2025)

TAM-VT: Transformation-Aware Multi-scale Video Transformer for Segmentation and Tracking
by: Goyal, Raghav, et al.
Published: (2023)

Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models
by: Luo, Jiayun, et al.
Published: (2023)

On Pre-training of Multimodal Language Models Customized for Chart Understanding
by: Fan, Wan-Cyuan, et al.
Published: (2024)

In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding
by: Fan, Wan-Cyuan, et al.
Published: (2025)

ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement
by: Salamatian, Ali, et al.
Published: (2025)

HORNet: Task-Guided Frame Selection for Video Question Answering with Vision-Language Models
by: Bai, Xiangyu, et al.
Published: (2026)

Test-Time Consistency in Vision Language Models
by: Chou, Shih-Han, et al.
Published: (2025)

Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving
by: Gopalkrishnan, Akshay, et al.
Published: (2024)

MM-R$^3$: On (In-)Consistency of Vision-Language Models (VLMs)
by: Chou, Shih-Han, et al.
Published: (2024)

The ART of Composition: Attention-Regularized Training for Compositional Visual Grounding
by: Luo, Jiayun, et al.
Published: (2024)

Frame-Voyager: Learning to Query Frames for Video Large Language Models
by: Yu, Sicheng, et al.
Published: (2024)

LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs
by: Kim, Jihwan, et al.
Published: (2026)

Frame by Familiar Frame: Understanding Replication in Video Diffusion Models
by: Rahman, Aimon, et al.
Published: (2024)

Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs
by: Zhang, Shaojie, et al.
Published: (2025)

KEPT: Knowledge-Enhanced Prediction of Trajectories from Consecutive Driving Frames with Vision-Language Models
by: Wang, Yujin, et al.
Published: (2025)

Multi-Frame Vision-Language Model for Long-form Reasoning in Driver Behavior Analysis
by: Takato, Hiroshi, et al.
Published: (2024)

World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models
by: Kim, Eunsu, et al.
Published: (2025)

Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model
by: Wang, Yuan, et al.
Published: (2026)

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization
by: Ali, Muhammad Kashif, et al.
Published: (2025)

SPIRIT: Adapting Vision Foundation Models for Unified Single- and Multi-Frame Infrared Small Target Detection
by: Xu, Qian, et al.
Published: (2026)

SCALE-VLP: Soft-Weighted Contrastive Volumetric Vision-Language Pre-training with Spatial-Knowledge Semantics
by: Mahdizadeh, Ailar, et al.
Published: (2025)

Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models
by: Zhang, Lvmin, et al.
Published: (2025)

Factorized Video Autoencoders for Efficient Generative Modelling
by: Suhail, Mohammed, et al.
Published: (2024)

Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities
by: Zhang, Zheyuan, et al.
Published: (2024)

CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling
by: Li, Hao, et al.
Published: (2025)

Semantic Frame Interpolation
by: Hong, Yijia, et al.
Published: (2025)

FocusGraph: Graph-Structured Frame Selection for Embodied Long Video Question Answering
by: Zemskova, Tatiana, et al.
Published: (2026)

End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling
by: Liang, Jianxin, et al.
Published: (2024)

FrameVGGT: Geometry-Aligned Frame-Level Memory for Bounded Streaming VGGT
by: Xu, Zhisong, et al.
Published: (2026)

Tracking Any Point with Frame-Event Fusion Network at High Frame Rate
by: Liu, Jiaxiong, et al.
Published: (2024)

ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries
by: Xue, Wangyu, et al.
Published: (2024)

Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?
by: Kim, Eunki, et al.
Published: (2025)

Enhancing Long Video Question Answering with Scene-Localized Frame Grouping
by: Yang, Xuyi, et al.
Published: (2025)

LDMVFI: Video Frame Interpolation with Latent Diffusion Models
by: Danier, Duolikun, et al.
Published: (2023)

Disentangled Motion Modeling for Video Frame Interpolation
by: Lew, Jaihyun, et al.
Published: (2024)

FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting
by: He, Zefeng, et al.
Published: (2025)