activity
20162026
most citedDeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

962 citations · 2.1k across the 31 of their papers we have counts for

collaborators

31 papers

cs.CV2026

PICS: Pairwise Image Compositing with Spatial Interactions

Hang Zhou, Xinxin Zuo, Sen Wang +1

Despite strong single-turn performance, diffusion-based image compositing often struggles to preserve coherent spatial relations in pairwise or sequential edits, where subsequent i…

cs.CV2023★ 15 cited

Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer

Shihao Zou, Yuxuan Mu, Wei Ji +5

Event camera, as an asynchronous vision sensor capturing scene dynamics, presents new opportunities for highly efficient 3D human pose tracking. Existing approaches typically adopt…

cs.CV2022★ 7 cited

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts

Chuan Guo, Xinxin Zuo, Sen Wang +1

Inspired by the strong ties between vision and language, the two intimate human sensing and communication modalities, our paper aims to explore the generation of 3D human full-body…

cs.CV2021

Action2video: Generating Videos of Human 3D Actions

Chuan Guo, Xinxin Zuo, Sen Wang +4

We aim to tackle the interesting yet challenging problem of generating videos of diverse and natural human motions from prescribed action categories. The key issue lies in the abil…

cs.CV2021

3D Pose Estimation and Future Motion Prediction from 2D Images

Ji Yang, Youdong Ma, Xinxin Zuo +3

This paper considers to jointly tackle the highly correlated tasks of estimating 3D human body poses and predicting future 3D motions from RGB image sequences. Based on Lie algebra…

cs.CV2021★ 1 cited

EventHPE: Event-based 3D Human Pose and Shape Estimation

Shihao Zou, Chuan Guo, Xinxin Zuo +6

Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals…