Search Results for author: Weikai Chen

Found 28 papers, 9 papers with code

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation

no code implementations26 Mar 2024 Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu

Recent advances in Iterative Vision-and-Language Navigation (IVLN) introduce a more meaningful and practical paradigm of VLN by maintaining the agent's memory across tours of scenes.

Vision and Language Navigation

Divide and Adapt: Active Domain Adaptation via Customized Learning

1 code implementation CVPR 2023 Duojun Huang, Jichang Li, Weikai Chen, Junshi Huang, Zhenhua Chai, Guanbin Li

To accommodate active learning and domain adaption, the two naturally different tasks, in a collaborative framework, we advocate that a customized learning strategy for the target data is the key to the success of ADA solutions.

Active Learning Informativeness +3

NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering

no code implementations CVPR 2023 Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao

Multi-view shape reconstruction has achieved impressive progresses thanks to the latest advances in neural implicit surface rendering.

Neural Rendering Surface Reconstruction +1

NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud

no code implementations CVPR 2023 Xiangyu Zhu, Dong Du, Weikai Chen, Zhiyou Zhao, Yinyu Nie, Xiaoguang Han

We show that a simple network based on NerVE can already outperform the previous state-of-the-art methods by a great margin.

Keypoint Detection

NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images

1 code implementation CVPR 2023 Xiaoxu Meng, Weikai Chen, Bo Yang

In particular, NeAT represents the 3D surface as a level set of a signed distance function (SDF) with a validity branch for estimating the surface existence probability at the query positions.

Neural Rendering Surface Reconstruction

Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors

no code implementations ICCV 2023 Zhangyang Xiong, Di Kang, Derong Jin, Weikai Chen, Linchao Bao, Shuguang Cui, Xiaoguang Han

Specifically, we bridge the latent space of Get3DHuman with that of StyleGAN-Human via a specially-designed prior network, where the input latent code is mapped to the shape and texture feature volumes spanned by the pixel-aligned 3D reconstructor.

RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels

no code implementations ICCV 2023 Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li

Confidence-wise, we propose a novel sample selection strategy based on confidence representation voting instead of the widely-used small-loss criterion.

Learning with noisy labels Representation Learning +1

Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning

2 code implementations12 Nov 2022 Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li

We investigate a practical domain adaptation task, called source-free domain adaptation (SFUDA), where the source-pretrained model is adapted to the target domain without access to the source data.

Contrastive Learning Source-Free Domain Adaptation

Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution

1 code implementation CVPR 2022 Xiaoqian Xu, Pengxu Wei, Weikai Chen, Mingzhi Mao, Liang Lin, Guanbin Li

To address this issue, we propose an unsupervised domain adaptation mechanism for real-world SR, named Dual ADversarial Adaptation (DADA), which only requires LR images in the target domain with available real paired data from a source camera.

Image Super-Resolution Unsupervised Domain Adaptation

Exemplar-based Pattern Synthesis with Implicit Periodic Field Network

no code implementations CVPR 2022 Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao

In this paper, we propose an exemplar-based visual pattern synthesis framework that aims to model the inner statistics of visual patterns and generate new, versatile patterns that meet the aforementioned requirements.

Generative Adversarial Network Texture Synthesis

OctField: Hierarchical Implicit Functions for 3D Modeling

no code implementations NeurIPS 2021 Jia-Heng Tang, Weikai Chen, Jie Yang, Bo wang, Songrun Liu, Bo Yang, Lin Gao

We achieve this goal by introducing a hierarchical octree structure to adaptively subdivide the 3D space according to the surface occupancy and the richness of part geometry.

Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning

no code implementations ICCV 2021 Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li

Open-set semi-supervised learning (open-set SSL) investigates a challenging but practical scenario where out-of-distribution (OOD) samples are contained in the unlabeled data.

Binary Classification

Equivariant Point Network for 3D Point Cloud Analysis

1 code implementation CVPR 2021 Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li

Features that are equivariant to a larger group of symmetries have been shown to be more discriminative and powerful in recent studies.

Deep Optimized Priors for 3D Shape Modeling and Reconstruction

no code implementations CVPR 2021 Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia

Many learning-based approaches have difficulty scaling to unseen data, as the generality of its learned prior is limited to the scale and variations of the training samples.

3D Shape Modeling

Intuitive, Interactive Beard and Hair Synthesis with Generative Models

1 code implementation CVPR 2020 Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li

We present an interactive approach to synthesizing realistic variations in facial hair in images, ranging from subtle edits to existing hair to the addition of complex and challenging hair in images of clean-shaven subjects.

Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images

2 code implementations ECCV 2020 Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han

High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of applications including human digitization, virtual try-on, etc.

Garment Reconstruction Virtual Try-on

Learning to Infer Implicit Surfaces without 3D Supervision

no code implementations NeurIPS 2019 Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li

The representation of 3D surfaces itself is a key factor for the quality and resolution of the 3D output.

3D Shape Generation

Learning Perspective Undistortion of Portraits

no code implementations ICCV 2019 Yajie Zhao, Zeng Huang, Tianye Li, Weikai Chen, Chloe LeGendre, Xinglei Ren, Jun Xing, Ari Shapiro, Hao Li

In contrast to the previous state-of-the-art approach, our method handles even portraits with extreme perspective distortion, as we avoid the inaccurate and error-prone step of first fitting a 3D face model.

3D Reconstruction Camera Calibration +2

Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction

no code implementations17 Jan 2019 Shichen Liu, Weikai Chen, Tianye Li, Hao Li

We also show that our soft rasterizer can achieve comparable results to the cutting-edge supervised learning method and in various cases even better ones, especially for real-world data.

SiCloPe: Silhouette-Based Clothed People

1 code implementation CVPR 2019 Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima

The synthesized silhouettes which are the most consistent with the input segmentation are fed into a deep visual hull algorithm for robust 3D shape prediction.

Generative Adversarial Network Image-to-Image Translation

Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions

no code implementations11 Dec 2018 Weikai Chen, Xiaoguang Han, Guanbin Li, Chao Chen, Jun Xing, Yajie Zhao, Hao Li

Three-dimensional object recognition has recently achieved great progress thanks to the development of effective point cloud-based learning frameworks, such as PointNet and its extensions.

3D Object Recognition

Deep Volumetric Video From Very Sparse Multi-View Performance Capture

no code implementations ECCV 2018 Zeng Huang, Tianye Li, Weikai Chen, Yajie Zhao, Jun Xing, Chloe LeGendre, Linjie Luo, Chongyang Ma, Hao Li

We present a deep learning-based volumetric capture approach for performance capture using a passive and highly sparse multi-view capture system.

Surface Reconstruction

Identity Preserving Face Completion for Large Ocular Region Occlusion

no code implementations23 Jul 2018 Yajie Zhao, Weikai Chen, Jun Xing, Xiaoming Li, Zach Bessinger, Fuchang Liu, WangMeng Zuo, Ruigang Yang

Different from the state-of-the-art face inpainting methods that have no control over the synthesized content and can only handle frontal face pose, our approach can faithfully recover the missing content under various head poses while preserving the identity.

Facial Inpainting

Cannot find the paper you are looking for? You can Submit a new open access paper.