Search Results for author: Wenping Wang

Found 49 papers, 19 papers with code

Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation

1 code implementation ACL 2022 Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei

When applied to zero-shot cross-lingual abstractive summarization, it produces an average performance gain of 12. 3 ROUGE-L over mBART-ft. We conduct detailed analyses to understand the key ingredients of SixT+, including multilinguality of the auxiliary parallel data, positional disentangled encoder, and the cross-lingual transferability of its encoder.

Abstractive Text Summarization Cross-Lingual Abstractive Summarization +3

Self-Supervised Image Representation Learning with Geometric Set Consistency

no code implementations29 Mar 2022 Nenglun Chen, Lei Chu, Hao Pan, Yan Lu, Wenping Wang

We propose a method for self-supervised image representation learning under the guidance of 3D geometric consistency.

Contrastive Learning Instance Segmentation +3

Visual-tactile sensing for Real-time liquid Volume Estimation in Grasping

no code implementations23 Feb 2022 Fan Zhu, Ruixing Jia, Lei Yang, Youcan Yan, Zheng Wang, Jia Pan, Wenping Wang

We propose a deep visuo-tactile model for realtime estimation of the liquid inside a deformable container in a proprioceptive way. We fuse two sensory modalities, i. e., the raw visual inputs from the RGB camera and the tactile cues from our specific tactile sensor without any extra sensor calibrations. The robotic system is well controlled and adjusted based on the estimation model in real time.

Multi-Task Learning

FaceFormer: Speech-Driven 3D Facial Animation with Transformers

1 code implementation10 Dec 2021 Yingruo Fan, Zhaojiang Lin, Jun Saito, Wenping Wang, Taku Komura

Speech-driven 3D facial animation is challenging due to the complex geometry of human faces and the limited availability of 3D audio-visual data.

Joint Audio-Text Model for Expressive Speech-Driven 3D Facial Animation

no code implementations4 Dec 2021 Yingruo Fan, Zhaojiang Lin, Jun Saito, Wenping Wang, Taku Komura

The existing datasets are collected to cover as many different phonemes as possible instead of sentences, thus limiting the capability of the audio-based model to learn more diverse contexts.

Language Modelling

Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation

1 code implementation16 Oct 2021 Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei

When applied to zero-shot cross-lingual abstractive summarization, it produces an average performance gain of 12. 3 ROUGE-L over mBART-ft. We conduct detailed analyses to understand the key ingredients of SixT+, including multilinguality of the auxiliary parallel data, positional disentangled encoder, and the cross-lingual transferability of its encoder.

Abstractive Text Summarization Cross-Lingual Abstractive Summarization +3

Referring Self-supervised Learning on 3D Point Cloud

no code implementations29 Sep 2021 Runnan Chen, Xinge Zhu, Nenglun Chen, Dawei Wang, Wei Li, Yuexin Ma, Ruigang Yang, Wenping Wang

In this paper, we study a new problem named Referring Self-supervised Learning (RSL) on 3D scene understanding: Given the 3D synthetic models with labels and the unlabeled 3D real scene scans, our goal is to distinguish the identical semantic objects on an unseen scene according to the referring synthetic 3D models.

Scene Understanding Self-Supervised Learning

Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point Clouds

no code implementations9 Sep 2021 Zixiong Wang, Pengfei Wang, Qiujie Dong, Junjie Gao, Shuangmin Chen, Shiqing Xin, Changhe Tu, Wenping Wang

Instead of explicitly learning priors with the ground-truth signed distance values, our method learns the underlying SDF from raw point clouds in a self-supervised fashion by minimizing the loss between a couple of SDFs, one obtained by the implicit moving least-square function (IMLS) and the other by our neural network, where the gradients of our predictor define the tangent bundle that facilitates the computation of IMLS.

Surface Reconstruction

PR-Net: Preference Reasoning for Personalized Video Highlight Detection

no code implementations ICCV 2021 Runnan Chen, Penghao Zhou, Wenzhe Wang, Nenglun Chen, Pai Peng, Xing Sun, Wenping Wang

Personalized video highlight detection aims to shorten a long video to interesting moments according to a user's preference, which has recently raised the community's attention.

Frame Highlight Detection +2

You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

1 code implementation1 Sep 2021 Haiping Wang, YuAn Liu, Zhen Dong, Wenping Wang, Bisheng Yang

In this paper, we propose a novel local descriptor-based framework, called You Only Hypothesize Once (YOHO), for the registration of two unaligned point clouds.

Frame Point Cloud Registration

AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds

1 code implementation ICCV 2021 Runsong Zhu, YuAn Liu, Zhen Dong, Tengping Jiang, YuAn Wang, Wenping Wang, Bisheng Yang

Existing works use a network to learn point-wise weights for weighted least squares surface fitting to estimate the normals, which has difficulty in finding accurate normals in complex regions or containing noisy points.

Neural Rays for Occlusion-aware Image-based Rendering

1 code implementation28 Jul 2021 YuAn Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang

On such a 3D point, these generalization methods will include inconsistent image features from invisible views, which interfere with the radiance field construction.

Neural Rendering Novel View Synthesis +1

Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation

no code implementations27 Jul 2021 Yilin Wen, Xiangyu Li, Hao Pan, Lei Yang, Zheng Wang, Taku Komura, Wenping Wang

To handle multiple objects and generalize to unseen objects, we disentangle the latent object shape and pose representations, so that the latent shape space models shape similarities, and the latent pose code is used for rotation retrieval by comparison with canonical rotations.

6D Pose Estimation Metric Learning +1

Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection

1 code implementation21 Jul 2021 Runnan Chen, Yuexin Ma, Nenglun Chen, Lingjie Liu, Zhiming Cui, Yanhong Lin, Wenping Wang

Detecting 3D landmarks on cone-beam computed tomography (CBCT) is crucial to assessing and quantifying the anatomical abnormalities in 3D cephalometric analysis.

Graph Attention

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

4 code implementations NeurIPS 2021 Peng Wang, Lingjie Liu, YuAn Liu, Christian Theobalt, Taku Komura, Wenping Wang

In NeuS, we propose to represent a surface as the zero-level set of a signed distance function (SDF) and develop a new volume rendering method to train a neural SDF representation.

Novel View Synthesis Surface Reconstruction

Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training

no code implementations28 May 2021 Runnan Chen, Yuexin Ma, Lingjie Liu, Nenglun Chen, Zhiming Cui, Guodong Wei, Wenping Wang

The global shape constraint is the inherent property of anatomical landmarks that provides valuable guidance for more consistent pseudo labelling of the unlabeled data, which is ignored in the previously semi-supervised methods.

Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective

no code implementations19 Apr 2021 Lei Chu, Hao Pan, Wenping Wang

We present a novel approach for completing and reconstructing 3D shapes from incomplete scanned data by using deep neural networks.

Category Disentangled Context: Turning Category-irrelevant Features Into Treasures

no code implementations1 Jan 2021 Keke Tang, Guodong Wei, Jie Zhu, Yuexin Ma, Runnan Chen, Zhaoquan Gu, Wenping Wang

Deep neural networks have achieved great success in computer vision, thanks to their ability in extracting category-relevant semantic features.

Image Classification

Learnable Motion Coherence for Correspondence Pruning

no code implementations CVPR 2021 YuAn Liu, Lingjie Liu, Cheng Lin, Zhen Dong, Wenping Wang

We propose a novel formulation of fitting coherent motions with a smooth function on a graph of correspondences and show that this formulation allows a closed-form solution by graph Laplacian.

Pose Estimation

Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks

1 code implementation CVPR 2021 Xiaoxiao Long, Lingjie Liu, Wei Li, Christian Theobalt, Wenping Wang

We present a novel method for multi-view depth estimation from a single video, which is a critical task in various applications, such as perception, reconstruction and robot navigation.

Depth Estimation Robot Navigation

SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform

1 code implementation22 Oct 2020 Cheng Lin, Lingjie Liu, Changjian Li, Leif Kobbelt, Bin Wang, Shiqing Xin, Wenping Wang

Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications.

Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes

no code implementations ECCV 2020 Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang

We propose an unsupervised learning framework with the pretext task of finding dense correspondences between point cloud shapes from the same category based on the cycle-consistency formulation.

Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video

no code implementations7 May 2020 Peng Wang, Lingjie Liu, Nenglun Chen, Hung-Kuo Chu, Christian Theobalt, Wenping Wang

We propose the first approach that simultaneously estimates camera motion and reconstructs the geometry of complex 3D thin structures in high quality from a color video captured by a handheld camera.

Frame Motion Estimation +2

MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera

no code implementations13 Apr 2020 Zhaoqi Su, Weilin Wan, Tao Yu, Lingjie Liu, Lu Fang, Wenping Wang, Yebin Liu

We introduce MulayCap, a novel human performance capture method using a monocular video camera without the need for pre-scanning.

Frame

Occlusion-Aware Depth Estimation with Adaptive Normal Constraints

1 code implementation ECCV 2020 Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang

We present a new learning-based method for multi-frame depth estimation from a color video, which is a fundamental problem in scene understanding, robot navigation or handheld 3D reconstruction.

3D Reconstruction Depth Estimation +3

Modeling 3D Shapes by Reinforcement Learning

2 code implementations ECCV 2020 Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner

We explore how to enable machines to model 3D shapes like human modelers using deep reinforcement learning (RL).

Imitation Learning reinforcement-learning

Unsupervised Learning of Intrinsic Structural Representation Points

1 code implementation CVPR 2020 Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang

The 3D structure points produced by our method encode the shape structure intrinsically and exhibit semantic consistency across all the shape instances with similar structures.

Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation

no code implementations14 Jan 2020 Lingjie Liu, Weipeng Xu, Marc Habermann, Michael Zollhoefer, Florian Bernard, Hyeongwoo Kim, Wenping Wang, Christian Theobalt

In this paper, we propose a novel human video synthesis method that approaches these limiting factors by explicitly disentangling the learning of time-coherent fine-scale details from the embedding of the human in 2D screen space.

Image-to-Image Translation Novel View Synthesis +1

Decision Propagation Networks for Image Classification

no code implementations27 Nov 2019 Keke Tang, Peng Song, Yuexin Ma, Zhaoquan Gu, Yu Su, Zhihong Tian, Wenping Wang

High-level (e. g., semantic) features encoded in the latter layers of convolutional neural networks are extensively exploited for image classification, leaving low-level (e. g., color) features in the early layers underexplored.

Classification General Classification +1

Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting

2 code implementations23 Aug 2019 Runnan Chen, Yuexin Ma, Nenglun Chen, Daniel Lee, Wenping Wang

Marking anatomical landmarks in cephalometric radiography is a critical operation in cephalometric analysis.

Attending Category Disentangled Global Context for Image Classification

no code implementations17 Dec 2018 Keke Tang, Guodong Wei, Runnan Chen, Jie Zhu, Zhaoquan Gu, Wenping Wang

In this paper, we propose a general framework for image classification using the attention mechanism and global context, which could incorporate with various network architectures to improve their performance.

Classification General Classification +1

Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans

no code implementations ICCV 2019 Cheng Lin, Changjian Li, Wenping Wang

We present a novel approach to align partial 3D reconstructions which may not have substantial overlap.

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

1 code implementation6 Nov 2018 Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha

To safely and efficiently navigate in complex urban traffic, autonomous vehicles must make responsible predictions in relation to surrounding traffic-agents (vehicles, bicycles, pedestrians, etc.).

Autonomous Vehicles Traffic Prediction +1

Neural Rendering and Reenactment of Human Actor Videos

no code implementations11 Sep 2018 Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Hyeongwoo Kim, Florian Bernard, Marc Habermann, Wenping Wang, Christian Theobalt

In contrast to conventional human character rendering, we do not require the availability of a production-quality photo-realistic 3D model of the human, but instead rely on a video sequence in conjunction with a (medium-quality) controllable 3D template model of the person.

Image Generation Neural Rendering

Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks

1 code implementation8 May 2018 Yujing Sun, Yizhou Yu, Wenping Wang

While digital image quality is constantly being improved, taking high-quality photos of digital screens still remains challenging because the photos are often contaminated with moir\'{e} patterns, a result of the interference between the pixel grids of the camera sensor and the device screen.

Denoising Image Enhancement +1

Efficient Reciprocal Collision Avoidance between Heterogeneous Agents Using CTMAT

no code implementations7 Apr 2018 Yuexin Ma, Dinesh Manocha, Wenping Wang

We present a novel algorithm for reciprocal collision avoidance between heterogeneous agents of different shapes and sizes.

Deep Multimodal Speaker Naming

no code implementations17 Jul 2015 Yongtao Hu, Jimmy Ren, Jingwen Dai, Chang Yuan, Li Xu, Wenping Wang

Automatic speaker naming is the problem of localizing as well as identifying each speaking character in a TV/movie/live show video.

Face Alignment

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