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20222026
most citedFusionMamba: Efficient Remote Sensing Image Fusion with State Space Model

93 citations · 190 across the 38 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024

MVBoost: Boost 3D Reconstruction with Multi-View Refinement

Xiangyu Liu, Xiaomei Zhang, Zhiyuan Ma +2

Recent advancements in 3D object reconstruction have been remarkable, yet most current 3D models rely heavily on existing 3D datasets. The scarcity of diverse 3D datasets results i…

cs.CV2024★ 17 cited

Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data

Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +56

Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including…

cs.CV2024

Revisiting Marr in Face: The Building of 2D--2.5D--3D Representations in Deep Neural Networks

Xiangyu Zhu, Chang Yu, Jiankuo Zhao +3

David Marr's seminal theory of vision proposes that the human visual system operates through a sequence of three stages, known as the 2D sketch, the 2.5D sketch, and the 3D model.…

cs.CV2024

Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy

Te Yang, Jian Jia, Xiangyu Zhu +9

Large Language Models (LLMs) have strong instruction-following capability to interpret and execute tasks as directed by human commands. Multimodal Large Language Models (MLLMs) hav…

cs.CV2024

S2TD-Face: Reconstruct a Detailed 3D Face with Controllable Texture from a Single Sketch

Zidu Wang, Xiangyu Zhu, Jiang Yu +2

3D textured face reconstruction from sketches applicable in many scenarios such as animation, 3D avatars, artistic design, missing people search, etc., is a highly promising but un…

cs.CV2024★ 17 cited

Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data

Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +55

Synthetic data is gaining increasing relevance for training machine learning models. This is mainly motivated due to several factors such as the lack of real data and intra-class v…

cs.CV2024★ 93 cited

FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model

Siran Peng, Xiangyu Zhu, Haoyu Deng +2

Remote sensing image fusion aims to generate a high-resolution multi/hyper-spectral image by combining a high-resolution image with limited spectral data and a low-resolution image…

cs.CV2024

Modeling Spoof Noise by De-spoofing Diffusion and its Application in Face Anti-spoofing

Bin Zhang, Xiangyu Zhu, Xiaoyu Zhang +1

Face anti-spoofing is crucial for ensuring the security and reliability of face recognition systems. Several existing face anti-spoofing methods utilize GAN-like networks to detect…