activity
20182022
most citedDeep AutoEncoder-based Lossy Geometry Compression for Point Clouds

59 citations · 113 across the 12 of their papers we have counts for

collaborators

21 papers

cs.CV202216 cited

Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation

Peihao Chen, Dongyu Ji, Kunyang Lin +4

We address a practical yet challenging problem of training robot agents to navigate in an environment following a path described by some language instructions. The instructions oft…

cs.CV20228 cited

Learning Active Camera for Multi-Object Navigation

Peihao Chen, Dongyu Ji, Kunyang Lin +5

Getting robots to navigate to multiple objects autonomously is essential yet difficult in robot applications. One of the key challenges is how to explore environments efficiently w…

cs.CV20221 cited

Frequency-Aware Self-Supervised Monocular Depth Estimation

Xingyu Chen, Thomas H. Li, Ruonan Zhang +1

We present two versatile methods to generally enhance self-supervised monocular depth estimation (MDE) models. The high generalizability of our methods is achieved by solving the f…

cs.CV2022

Deep Geometry Post-Processing for Decompressed Point Clouds

Xiaoqing Fan, Ge Li, Dingquan Li +3

Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission. However, distortions can be introduced into the decompressed point clouds d…

cs.CV20224 cited

Neural Texture Extraction and Distribution for Controllable Person Image Synthesis

Yurui Ren, Xiaoqing Fan, Ge Li +2

We deal with the controllable person image synthesis task which aims to re-render a human from a reference image with explicit control over body pose and appearance. Observing that…

cs.CV202110 cited

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

Yurui Ren, Ge Li, Yuanqi Chen +2

Generating portrait images by controlling the motions of existing faces is an important task of great consequence to social media industries. For easy use and intuitive control, se…