110 citations · 380 across the 35 of their papers we have counts for
36 papers
Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport
Wentong Li, Yuqian Yuan, Song Wang +4
Weakly-supervised image segmentation has recently attracted increasing research attentions, aiming to avoid the expensive pixel-wise labeling. In this paper, we present an effectiv…
Pyramid Deep Fusion Network for Two-Hand Reconstruction from RGB-D Images
Jinwei Ren, Jianke Zhu
Accurately recovering the dense 3D mesh of both hands from monocular images poses considerable challenges due to occlusions and projection ambiguity. Most of the existing methods e…
FastMESH: Fast Surface Reconstruction by Hexagonal Mesh-based Neural Rendering
Yisu Zhang, Jianke Zhu, Lixiang Lin
Despite the promising results of multi-view reconstruction, the recent neural rendering-based methods, such as implicit surface rendering (IDR) and volume rendering (NeuS), not onl…
BundleRecon: Ray Bundle-Based 3D Neural Reconstruction
Weikun Zhang, Jianke Zhu
With the growing popularity of neural rendering, there has been an increasing number of neural implicit multi-view reconstruction methods. While many models have been enhanced in t…
Multi-View Stereo Representation Revisit: Region-Aware MVSNet
Yisu Zhang, Jianke Zhu, Lixiang Lin
Deep learning-based multi-view stereo has emerged as a powerful paradigm for reconstructing the complete geometrically-detailed objects from multi-views. Most of the existing appro…
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
Song Wang, Wentong Li, Wenyu Liu +2
Semantic map construction under bird's-eye view (BEV) plays an essential role in autonomous driving. In contrast to camera image, LiDAR provides the accurate 3D observations to pro…
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
Wentong Li, Wenyu Liu, Jianke Zhu +4
In contrast to fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of simple box annotations, which has recently attracted i…
FastHuman: Reconstructing High-Quality Clothed Human in Minutes
Lixiang Lin, Songyou Peng, Qijun Gan +1
We propose an approach for optimizing high-quality clothed human body shapes in minutes, using multi-view posed images. While traditional neural rendering methods struggle to disen…
Box-supervised Instance Segmentation with Level Set Evolution
Wentong Li, Wenyu Liu, Jianke Zhu +3
In contrast to the fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of the simple box annotations, which has recently att…
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters
Wenyu Liu, Wentong Li, Jianke Zhu +3
Semantic segmentation on driving-scene images is vital for autonomous driving. Although encouraging performance has been achieved on daytime images, the performance on nighttime im…
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by Group Convolution
Xinrui Zhan, Yang Li, Wenyu Liu +1
Homography has an essential relationship with the special linear group and the embedding Lie algebra structure. Although the Lie algebra representation is elegant, few researchers…
ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoV
Xin Zheng, Jianke Zhu
Prism-based LiDARs are more compact and cheaper than the conventional mechanical multi-line spinning LiDARs, which have become increasingly popular in robotics, recently. However,…
Multiview Textured Mesh Recovery by Differentiable Rendering
Lixiang Lin, Jianke Zhu, Yisu Zhang
Although having achieved the promising results on shape and color recovery through self-supervision, the multi-layer perceptrons-based methods usually suffer from heavy computation…
End-to-end Weakly-supervised Single-stage Multiple 3D Hand Mesh Reconstruction from a Single RGB Image
Jinwei Ren, Jianke Zhu, Jialiang Zhang
In this paper, we consider the challenging task of simultaneously locating and recovering multiple hands from a single 2D image. Previous studies either focus on single hand recons…
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
Song Wang, Jianke Zhu, Ruixiang Zhang
LiDAR sensor is essential to the perception system in autonomous vehicles and intelligent robots. To fulfill the real-time requirements in real-world applications, it is necessary…
Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen, Jianke Zhu
Learning from multimodal data is an important research topic in machine learning, which has the potential to obtain better representations. In this work, we propose a novel approac…
Deep Level Set for Box-supervised Instance Segmentation in Aerial Images
Wentong Li, Yijie Chen, Wenyu Liu +1
Box-supervised instance segmentation has recently attracted lots of research efforts while little attention is received in aerial image domain. In contrast to the general object co…
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
Wenyu Liu, Gaofeng Ren, Runsheng Yu +3
Though deep learning-based object detection methods have achieved promising results on the conventional datasets, it is still challenging to locate objects from the low-quality ima…
Homography Decomposition Networks for Planar Object Tracking
Xinrui Zhan, Yueran Liu, Jianke Zhu +1
Planar object tracking plays an important role in AI applications, such as robotics, visual servoing, and visual SLAM. Although the previous planar trackers work well in most scena…
Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction
Hantang Liu, Wentong Li, Jianke Zhu
Effectively parsing the facade is essential to 3D building reconstruction, which is an important computer vision problem with a large amount of applications in high precision map f…
Structure First Detail Next: Image Inpainting with Pyramid Generator
Shuyi Qu, Zhenxing Niu, Kaizhu Huang +4
Recent deep generative models have achieved promising performance in image inpainting. However, it is still very challenging for a neural network to generate realistic image detail…
Topology-Preserved Human Reconstruction with Details
Lixiang Lin, Jianke Zhu
It is challenging to directly estimate the human geometry from a single image due to the high diversity and complexity of body shapes with the various clothing styles. Most of mode…
Oriented RepPoints for Aerial Object Detection
Wentong Li, Yijie Chen, Kaixuan Hu +1
In contrast to the generic object, aerial targets are often non-axis aligned with arbitrary orientations having the cluttered surroundings. Unlike the mainstreamed approaches regre…
Efficient LiDAR Odometry for Autonomous Driving
Xin Zheng, Jianke Zhu
LiDAR odometry plays an important role in self-localization and mapping for autonomous navigation, which is usually treated as a scan registration problem. Although having achieved…