activity
20232026
most citedTrusted Unified Feature-Neighborhood Dynamics for Multi-View Classification

1 citations · 2 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.CV2026

VTrajEmbed: Aligning Text with Video Object Trajectories via Spatiotemporal Embeddings

Ruizhi Chen, Zining Fan, Yudi Guo +5

Fine-grained alignment between text and video object trajectories is a core challenge in multimodal understanding. Existing embedding models excel at global retrieval, yet their si…

cs.CV2026

MeSD: Multi-Evidence Self-Distillation for VideoLLM

Weijie Zhu, Han Fang, Hanyu Fu +13

While reinforcement learning with verifiable rewards provides reliable outcome supervision for VideoLLMs, sequence-level rewards offer limited token-level guidance. On-policy self-…

cs.CV2026

TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents

Peng Cai, Zhaofan Zou, Shifa Liu +7

Document parsing aims to transform unstructured documents into structured and machine-readable representations. Recent advances in Vision-Language Models (VLMs) have significantly…

cs.CV2026

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding

Hao Li, Han Fang, Zixin Pan +8

Although multimodal large language models (MLLMs) have achieved remarkable progress, understanding 3D spatial relationships from 2D images remains a critical challenge. Existing me…

cs.CV2026

Boosting Robust AIGI Detection with LoRA-based Pairwise Training

Ruiyang Xia, Qi Zhang, Yaowen Xu +4

The proliferation of highly realistic AI-Generated Image (AIGI) has necessitated the development of practical detection methods. While current AIGI detectors perform admirably on c…

cs.CV2026

WAT: Online Video Understanding Needs Watching Before Thinking

Zifan Han, Hongbo Sun, Jinglin Xu +6

Multimodal Large Language Models (MLLMs) have shown strong capabilities in image understanding, motivating recent efforts to extend them to video reasoning. However, existing Video…