activity
20232025
most citedNeural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning

22 citations · 45 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CV2025

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification

Hao Yang, Qianyu Zhou, Haijia Sun +4

Domain Generalization (DG) has been recently explored to enhance the generalizability of Point Cloud Classification (PCC) models toward unseen domains. Prior works are based on con…

cs.CV2025

Dense360: Dense Understanding from Omnidirectional Panoramas

Yikang Zhou, Tao Zhang, Dizhe Zhang +3

Multimodal Large Language Models (MLLMs) require comprehensive visual inputs to achieve dense understanding of the physical world. While existing MLLMs demonstrate impressive world…

cs.CV2025

UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions

Zhucun Xue, Jiangning Zhang, Teng Hu +8

The quality of the video dataset (image quality, resolution, and fine-grained caption) greatly influences the performance of the video generation model. The growing demand for vide…

cs.CV2025

On Path to Multimodal Generalist: General-Level and General-Bench

Hao Fei, Yuan Zhou, Juncheng Li +29

The Multimodal Large Language Model (MLLM) is currently experiencing rapid growth, driven by the advanced capabilities of LLMs. Unlike earlier specialists, existing MLLMs are evolv…

cs.CV20251 cited

Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook

Muyi Bao, Shuchang Lyu, Zhaoyang Xu +5

Deep learning has profoundly transformed remote sensing, yet prevailing architectures like Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) remain constrained by…

cs.CV2025

An Empirical Study of GPT-4o Image Generation Capabilities

Sixiang Chen, Jinbin Bai, Zhuoran Zhao +16

The landscape of image generation has rapidly evolved, from early GAN-based approaches to diffusion models and, most recently, to unified generative architectures that seek to brid…