326 citations · 665 across the 14 of their papers we have counts for
10 papers · 1 filter
Dense RGB SLAM with Neural Implicit Maps
Heng Li, Xiaodong Gu, Weihao Yuan +3
There is an emerging trend of using neural implicit functions for map representation in Simultaneous Localization and Mapping (SLAM). Some pioneer works have achieved encouraging r…
3D Former: Monocular Scene Reconstruction with 3D SDF Transformers
Weihao Yuan, Xiaodong Gu, Heng Li +2
Monocular scene reconstruction from posed images is challenging due to the complexity of a large environment. Recent volumetric methods learn to directly predict the TSDF volume an…
RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds
Xiaodong Gu, Chengzhou Tang, Weihao Yuan +3
3D motion estimation including scene flow and point cloud registration has drawn increasing interest. Inspired by 2D flow estimation, recent methods employ deep neural networks to…
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
Weihao Yuan, Xiaodong Gu, Zuozhuo Dai +2
Estimating the accurate depth from a single image is challenging since it is inherently ambiguous and ill-posed. While recent works design increasingly complicated and powerful net…
DRO: Deep Recurrent Optimizer for Video to Depth
Xiaodong Gu, Weihao Yuan, Zuozhuo Dai +4
There are increasing interests of studying the video-to-depth (V2D) problem with machine learning techniques. While earlier methods directly learn a mapping from images to depth ma…
Learning Dual Semantic Relations with Graph Attention for Image-Text Matching
Keyu Wen, Xiaodong Gu, Qingrong Cheng
Image-Text Matching is one major task in cross-modal information processing. The main challenge is to learn the unified visual and textual representations. Previous methods that pe…
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
Xiaodong Gu, Zhiwen Fan, Zuozhuo Dai +3
The deep multi-view stereo (MVS) and stereo matching approaches generally construct 3D cost volumes to regularize and regress the output depth or disparity. These methods are limit…
Landmark Assisted CycleGAN for Cartoon Face Generation
Ruizheng Wu, Xiaodong Gu, Xin Tao +3
In this paper, we are interested in generating an cartoon face of a person by using unpaired training data between real faces and cartoon ones. A major challenge of this task is th…
Attribute-Driven Spontaneous Motion in Unpaired Image Translation
Ruizheng Wu, Xin Tao, Xiaodong Gu +2
Current image translation methods, albeit effective to produce high-quality results in various applications, still do not consider much geometric transform. We in this paper propos…
Batch DropBlock Network for Person Re-identification and Beyond
Zuozhuo Dai, Mingqiang Chen, Xiaodong Gu +2
Since the person re-identification task often suffers from the problem of pose changes and occlusions, some attentive local features are often suppressed when training CNNs. In thi…