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20182025
most citedDeep AutoEncoder-based Lossy Geometry Compression for Point Clouds

59 citations · 113 across the 14 of their papers we have counts for

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23 papers · 1 filter

cs.CV2025

Learning Semantic Facial Descriptors for Accurate Face Animation

Lei Zhu, Yuanqi Chen, Xiaohang Liu +2

Face animation is a challenging task. Existing model-based methods (utilizing 3DMMs or landmarks) often result in a model-like reconstruction effect, which doesn't effectively pres…

cs.CV2024

EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding

Zhiyi Pan, Guoqing Liu, Wei Gao +1

The acquisition of inductive bias through point-level contrastive learning holds paramount significance in point cloud pre-training. However, the square growth in computational req…

cs.CV2023

Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding

Ruyang Liu, Jingjia Huang, Wei Gao +2

Large-scale image-language pretrained models, e.g., CLIP, have demonstrated remarkable proficiency in acquiring general multi-modal knowledge through web-scale image-text data. Des…

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…