4 citations · 5 across the 5 of their papers we have counts for
6 papers
Parts-Mamba: Augmenting Joint Context with Part-Level Scanning for Occluded Human Skeleton
Tianyi Shen, Huijuan Xu, Nilesh Ahuja +3
Skeleton action recognition involves recognizing human action from human skeletons. The use of graph convolutional networks (GCNs) has driven major advances in this recognition tas…
Test-time Scaling of LLMs: A Survey from A Subproblem Structure Perspective
Zhuoyi Yang, Xu Guo, Tong Zhang +2
With this paper, we survey techniques for improving the predictive accuracy of pretrained large language models by allocating additional compute at inference time. In categorizing…
Stratified Avatar Generation from Sparse Observations
Han Feng, Wenchao Ma, Quankai Gao +3
Estimating 3D full-body avatars from AR/VR devices is essential for creating immersive experiences in AR/VR applications. This task is challenging due to the limited input from Hea…
Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration
Shu Zhao, Xiaohan Zou, Tan Yu +1
Pre-trained large multi-modal models (LMMs) exploit fine-tuning to adapt diverse user applications. Nevertheless, fine-tuning may face challenges due to deactivated sensors (e.g.,…
NEUCORE: Neural Concept Reasoning for Composed Image Retrieval
Shu Zhao, Huijuan Xu
Composed image retrieval which combines a reference image and a text modifier to identify the desired target image is a challenging task, and requires the model to comprehend both…
Translating Videos to Natural Language Using Deep Recurrent Neural Networks
Subhashini Venugopalan, Huijuan Xu, Jeff Donahue +3
Solving the visual symbol grounding problem has long been a goal of artificial intelligence. The field appears to be advancing closer to this goal with recent breakthroughs in deep…