activity
20152023
most citedCPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

110 citations · 925 across the 79 of their papers we have counts for

collaborators

81 papers

cs.CV2023★ 4 cited

Graph-based Asynchronous Event Processing for Rapid Object Recognition

Yijin Li, Han Zhou, Bangbang Yang +4

Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightn…

cs.CV2023★ 1 cited

Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor

Xinyang Liu, Yijin Li, Yanbin Teng +4

Light-weight time-of-flight (ToF) depth sensors are compact and cost-efficient, and thus widely used on mobile devices for tasks such as autofocus and obstacle detection. However,…

cs.CV2023★ 1 cited

Relightable and Animatable Neural Avatar from Sparse-View Video

Zhen Xu, Sida Peng, Chen Geng +5

This paper tackles the challenge of creating relightable and animatable neural avatars from sparse-view (or even monocular) videos of dynamic humans under unknown illumination. Com…

cs.CV2023★ 31 cited

Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing

Junyi Zeng, Chong Bao, Rui Chen +4

Recently, Neural Radiance Fields (NeRF) has exhibited significant success in novel view synthesis, surface reconstruction, etc. However, since no physical reflection is considered…

cs.CV2023★ 3 cited

Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields

Shangzan Zhang, Sida Peng, Yinji ShenTu +5

Recently, the editing of neural radiance fields (NeRFs) has gained considerable attention, but most prior works focus on static scenes while research on the appearance editing of d…

cs.CV2023★ 2 cited

Detector-Free Structure from Motion

Xingyi He, Jiaming Sun, Yifan Wang +4

We propose a new structure-from-motion framework to recover accurate camera poses and point clouds from unordered images. Traditional SfM systems typically rely on the successful d…