201 citations · 487 across the 12 of their papers we have counts for
12 papers
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer
Zhenghao Zhang, Fangtao Shao, Zuozhuo Dai +1
Most existing transformer based video instance segmentation methods extract per frame features independently, hence it is challenging to solve the appearance deformation problem. I…
UniFuse: Unidirectional Fusion for 360 Panorama Depth Estimation
Hualie Jiang, Zhe Sheng, Siyu Zhu +2
Learning depth from spherical panoramas is becoming a popular research topic because a panorama has a full field-of-view of the environment and provides a relatively complete descr…
MeshMVS: Multi-View Stereo Guided Mesh Reconstruction
Rakesh Shrestha, Zhiwen Fan, Qingkun Su +3
Deep learning based 3D shape generation methods generally utilize latent features extracted from color images to encode the semantics of objects and guide the shape generation proc…
Self-Supervised Human Depth Estimation from Monocular Videos
Feitong Tan, Hao Zhu, Zhaopeng Cui +3
Previous methods on estimating detailed human depth often require supervised training with `ground truth' depth data. This paper presents a self-supervised method that can be train…
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
Lei Li, Siyu Zhu, Hongbo Fu +2
In this work, we propose an end-to-end framework to learn local multi-view descriptors for 3D point clouds. To adopt a similar multi-view representation, existing studies use hand-…
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…
A Neural Network for Detailed Human Depth Estimation from a Single Image
Sicong Tang, Feitong Tan, Kelvin Cheng +3
This paper presents a neural network to estimate a detailed depth map of the foreground human in a single RGB image. The result captures geometry details such as cloth wrinkles, wh…
Matchable Image Retrieval by Learning from Surface Reconstruction
Tianwei Shen, Zixin Luo, Lei Zhou +4
Convolutional Neural Networks (CNNs) have achieved superior performance on object image retrieval, while Bag-of-Words (BoW) models with handcrafted local features still dominate th…
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
Zixin Luo, Tianwei Shen, Lei Zhou +5
Learned local descriptors based on Convolutional Neural Networks (CNNs) have achieved significant improvements on patch-based benchmarks, whereas not having demonstrated strong gen…
Learning and Matching Multi-View Descriptors for Registration of Point Clouds
Lei Zhou, Siyu Zhu, Zixin Luo +5
Critical to the registration of point clouds is the establishment of a set of accurate correspondences between points in 3D space. The correspondence problem is generally addressed…
Parallel Structure from Motion from Local Increment to Global Averaging
Siyu Zhu, Tianwei Shen, Lei Zhou +4
In this paper, we tackle the accurate and consistent Structure from Motion (SfM) problem, in particular camera registration, far exceeding the memory of a single computer in parall…
Detecting Figures and Part Labels in Patents: Competition-Based Development of Image Processing Algorithms
Christoph Riedl, Richard Zanibbi, Marti A. Hearst +5
We report the findings of a month-long online competition in which participants developed algorithms for augmenting the digital version of patent documents published by the United…