activity
20162023
most citedProlongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network

295 citations · 431 across the 21 of their papers we have counts for

collaborators

22 papers

cs.CV2023★ 4 cited

How Robust is Google's Bard to Adversarial Image Attacks?

Yinpeng Dong, Huanran Chen, Jiawei Chen +6

Multimodal Large Language Models (MLLMs) that integrate text and other modalities (especially vision) have achieved unprecedented performance in various multimodal tasks. However,…

cond-mat.mtrl-sci2023

Transition metal single-atom anchored on MoSi2N4 monolayer as highly efficient electrocatalyst for hydrogen evolution reaction

Wei Xun, Xin Liu, Qing-Song Jiang +3

Single-atom catalysts are considered as a promising method for efficient energy conversion, owing to their advantages of high atom utilization and low catalyst cost. However, findi…

cs.CV2023

Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos

Yikai Wang, Yinpeng Dong, Fuchun Sun +1

This work focuses on the 3D reconstruction of non-rigid objects based on monocular RGB video sequences. Concretely, we aim at building high-fidelity models for generic object categ…

cs.CV2023★ 13 cited

AdvFAS: A robust face anti-spoofing framework against adversarial examples

Jiawei Chen, Xiao Yang, Heng Yin +6

Ensuring the reliability of face recognition systems against presentation attacks necessitates the deployment of face anti-spoofing techniques. Despite considerable advancements in…

cs.CV2023★ 72 cited

MVDream: Multi-view Diffusion for 3D Generation

Yichun Shi, Peng Wang, Jianglong Ye +3

We introduce MVDream, a diffusion model that is able to generate consistent multi-view images from a given text prompt. Learning from both 2D and 3D data, a multi-view diffusion mo…

eess.IV2023

Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

Dan Zhang, Fangfang Zhou, Felix Albu +4

The advent of deep learning has brought a revolutionary transformation to image denoising techniques. However, the persistent challenge of acquiring noise-clean pairs for supervise…