activity
20242026
most citedWan: Open and Advanced Large-Scale Video Generative Models

12 citations · 13 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Multi-view Crowd Tracking Transformer with View-Ground Interactions Under Large Real-World Scenes

Qi Zhang, Jixuan Chen, Kaiyi Zhang +3

Multi-view crowd tracking estimates each person's tracking trajectories on the ground of the scene. Recent research works mainly rely on CNNs-based multi-view crowd tracking archit…

cs.CV20251 cited

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents

Xuehui Wang, Zhenyu Wu, JingJing Xie +25

We introduce MMBench-GUI, a hierarchical benchmark for evaluating GUI automation agents across Windows, macOS, Linux, iOS, Android, and Web platforms. It comprises four levels: GUI…

cs.CV202512 cited

Wan: Open and Advanced Large-Scale Video Generative Models

Team Wan, Ang Wang, Baole Ai +58

This report presents Wan, a comprehensive and open suite of video foundation models designed to push the boundaries of video generation. Built upon the mainstream diffusion transfo…

cs.CV2025

CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness

Zhihang Liu, Chen-Wei Xie, Bin Wen +9

Visual captioning benchmarks have become outdated with the emergence of modern multimodal large language models (MLLMs), as the brief ground-truth sentences and traditional metrics…

cs.CV2024

BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs

Zhantao Yang, Ruili Feng, Keyu Yan +13

Advancements in large Vision-Language Models have brought precise, accurate image captioning, vital for advancing multi-modal image understanding and processing. Yet these captions…