342 citations · 1.8k across the 90 of their papers we have counts for
8 papers · 1 filter
3D Human motion anticipation and classification
Emad Barsoum, John Kender, Zicheng Liu
Human motion prediction and understanding is a challenging problem. Due to the complex dynamic of human motion and the non-deterministic aspect of future prediction. We propose a n…
End-to-End Human Pose and Mesh Reconstruction with Transformers
Kevin Lin, Lijuan Wang, Zicheng Liu
We present a new method, called MEsh TRansfOrmer (METRO), to reconstruct 3D human pose and mesh vertices from a single image. Our method uses a transformer encoder to jointly model…
MiniVLM: A Smaller and Faster Vision-Language Model
Jianfeng Wang, Xiaowei Hu, Pengchuan Zhang +5
Recent vision-language (VL) studies have shown remarkable progress by learning generic representations from massive image-text pairs with transformer models and then fine-tuning on…
MicroNet: Towards Image Recognition with Extremely Low FLOPs
Yunsheng Li, Yinpeng Chen, Xiyang Dai +6
In this paper, we present MicroNet, which is an efficient convolutional neural network using extremely low computational cost (e.g. 6 MFLOPs on ImageNet classification). Such a low…
Semantic Change Detection with Asymmetric Siamese Networks
Kunping Yang, Gui-Song Xia, Zicheng Liu +4
Given two multi-temporal aerial images, semantic change detection aims to locate the land-cover variations and identify their change types with pixel-wise boundaries. This problem…
VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning
Xiaowei Hu, Xi Yin, Kevin Lin +4
It is highly desirable yet challenging to generate image captions that can describe novel objects which are unseen in caption-labeled training data, a capability that is evaluated…
Dynamic ReLU
Yinpeng Chen, Xiyang Dai, Mengchen Liu +3
Rectified linear units (ReLU) are commonly used in deep neural networks. So far ReLU and its generalizations (non-parametric or parametric) are static, performing identically for a…
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes
Kevin Lin, Lijuan Wang, Ying Jin +2
Nonparametric approaches have shown promising results on reconstructing 3D human mesh from a single monocular image. Unlike previous approaches that use a parametric human model li…