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20242026
most citedMobileMamba: Lightweight Multi-Receptive Visual Mamba Network

6 citations · 6 across the 3 of their papers we have counts for

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cs.CV2026

Multi-Dimensional Knowledge Profiling with Large-Scale Literature Database and Hierarchical Retrieval

Zhucun Xue, Jiangning Zhang, Juntao Jiang +6

The rapid expansion of research across machine learning, vision, and language has produced a volume of publications that is increasingly difficult to synthesize. Traditional biblio…

cs.CV2025

EfficientIML: Efficient High-Resolution Image Manipulation Localization

Jinhan Li, Haoyang He, Lei Xie +1

With imaging devices delivering ever-higher resolutions and the emerging diffusion-based forgery methods, current detectors trained only on traditional datasets (with splicing, cop…

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.CV2024

EMOv2: Pushing 5M Vision Model Frontier

Jiangning Zhang, Teng Hu, Haoyang He +6

This work focuses on developing parameter-efficient and lightweight models for dense predictions while trading off parameters, FLOPs, and performance. Our goal is to set up the new…

cs.CV20246 cited

MobileMamba: Lightweight Multi-Receptive Visual Mamba Network

Haoyang He, Jiangning Zhang, Yuxuan Cai +7

Previous research on lightweight models has primarily focused on CNNs and Transformer-based designs. CNNs, with their local receptive fields, struggle to capture long-range depende…

cs.CV2024

LLaVA-KD: A Framework of Distilling Multimodal Large Language Models

Yuxuan Cai, Jiangning Zhang, Haoyang He +7

The success of Large Language Models (LLMs) has inspired the development of Multimodal Large Language Models (MLLMs) for unified understanding of vision and language. However, the…