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20172026
most citedCooperative Training of Deep Aggregation Networks for RGB-D Action Recognition

42 citations · 213 across the 54 of their papers we have counts for

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27 papers · 1 filter

cs.CV2026

MODAL: Multi-Modal Object Re-ID via Model-Driven Sparse Decoupling and Text-Image Differential Filtering

Chengbo Huang, Jun-Jie Huang, Long Lan +5

Multi-modal object re-identification (Re-ID) aims to facilitate cross-camera object retrieval in complex environments by leveraging complementary information from visual (e.g., RGB…

cs.CV2026

JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators

Ce Chen, Congrui Wang, Yonglin Li +23

Text-to-image (T2I) diffusion models typically require substantial computational resources and cloud infrastructure, posing significant challenges for edge deployment in terms of l…

cs.CV20262 cited

Learning Disentangled Representations for Generalized Multi-view Clustering

Xin Zou, Ruimeng Liu, Chang Tang +4

Multi-View Clustering (MVC) has gained significant attention for its ability to leverage complementary information across diverse views. However, existing deep MVC methods often st…

cs.CV20269 cited

Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning

Xin Ning, Qiankun Li, Xiaolong Huang +5

With the accumulation of resources in the era of big data and the rise of pre-trained models in deep learning, optimizing neural networks for various tasks often involves different…

cs.CV2026

ImgCoT: Compressing Long Chain of Thought into Compact Visual Tokens for Efficient Reasoning of Large Language Model

Xiaoshu Chen, Sihang Zhou, Ke Liang +2

Compressing long chains of thought (CoT) into compact latent tokens is crucial for efficient reasoning with large language models (LLMs). Recent studies employ autoencoders to achi…

cs.CV2025

Spectral Discrepancy and Cross-modal Semantic Consistency Learning for Object Detection in Hyperspectral Image

Xiao He, Chang Tang, Xinwang Liu +5

Hyperspectral images with high spectral resolution provide new insights into recognizing subtle differences in similar substances. However, object detection in hyperspectral images…