activity
20182022
most citedSTG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

21 citations · 84 across the 14 of their papers we have counts for

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Showing cs.CVShow all

7 papers · 1 filter

cs.CV20221 cited

DR.VIC: Decomposition and Reasoning for Video Individual Counting

Tao Han, Lei Bai, Junyu Gao +2

Pedestrian counting is a fundamental tool for understanding pedestrian patterns and crowd flow analysis. Existing works (e.g., image-level pedestrian counting, crossline crowd coun…

cs.CV20224 cited

Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding

Pu Zhang, Lei Bai, Jianru Xue +3

Trajectory forecasting is critical for autonomous platforms to make safe planning and actions. Currently, most trajectory forecasting methods assume that object trajectories have b…

cs.CV20216 cited

Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images

Size Wu, Sheng Jin, Wentao Liu +4

This paper studies the task of estimating the 3D human poses of multiple persons from multiple calibrated camera views. Following the top-down paradigm, we decompose the task into…

cs.CV20213 cited

GLiT: Neural Architecture Search for Global and Local Image Transformer

Boyu Chen, Peixia Li, Chuming Li +6

We introduce the first Neural Architecture Search (NAS) method to find a better transformer architecture for image recognition. Recently, transformers without CNN-based backbones a…

cs.CV202120 cited

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing

Boyu Chen, Peixia Li, Baopu Li +6

In this paper, we observe two levels of redundancies when applying vision transformers (ViT) for image recognition. First, fixing the number of tokens through the whole network pro…

cs.CV20206 cited

Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving

Zhenxun Yuan, Xiao Song, Lei Bai +3

The strong demand of autonomous driving in the industry has lead to strong interest in 3D object detection and resulted in many excellent 3D object detection algorithms. However, t…