89 citations · 167 across the 10 of their papers we have counts for
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cs.CV2025
: A "Spot the Difference" Challenge for Large Multimodal Models
Kewei Wei, Bocheng Hu, Jie Cao +13
Modern Large Multimodal Models (LMMs) have demonstrated extraordinary ability in static image and single-state spatial-temporal understanding. However, their capacity to comprehend…
cs.CV2024
Chasing Better Deep Image Priors between Over- and Under-parameterization
Qiming Wu, Xiaohan Chen, Yifan Jiang +1
Deep Neural Networks (DNNs) are well-known to act as over-parameterized deep image priors (DIP) that regularize various image inverse problems. Meanwhile, researchers also proposed…
cs.CV2022★ 89 cited
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
Shiwei Liu, Tianlong Chen, Xiaohan Chen +7
Transformers have quickly shined in the computer vision world since the emergence of Vision Transformers (ViTs). The dominant role of convolutional neural networks (CNNs) seems to…