Search Results for author: Ziwei Liu

Found 109 papers, 78 papers with code

Robust Face Anti-Spoofing with Dual Probabilistic Modeling

no code implementations27 Apr 2022 Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu

In this work, we attempt to fill this gap by automatically addressing the noise problem from both label and data perspectives in a probabilistic manner.

Face Anti-Spoofing

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

1 code implementation25 Apr 2022 Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen Change Loy, Wayne Wu, Ziwei Liu

In addition, a model zoo and human editing applications are demonstrated to facilitate future research in the community.

Image Generation

Few-shot Forgery Detection via Guided Adversarial Interpolation

no code implementations12 Apr 2022 Haonan Qiu, Siyu Chen, Bei Gan, Kun Wang, Huafeng Shi, Jing Shao, Ziwei Liu

Realistic visual media synthesis is becoming a critical societal issue with the surge of face manipulation models; new forgery approaches emerge at an unprecedented pace.

Full-Spectrum Out-of-Distribution Detection

1 code implementation11 Apr 2022 Jingkang Yang, Kaiyang Zhou, Ziwei Liu

In this paper, we take into account both shift types and introduce full-spectrum OOD (FS-OOD) detection, a more realistic problem setting that considers both detecting semantic shift and being tolerant to covariate shift; and designs three benchmarks.

OOD Detection Out-of-Distribution Detection

Unsupervised Image-to-Image Translation with Generative Prior

1 code implementation7 Apr 2022 Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy

In this work, we present a novel framework, Generative Prior-guided UNsupervised Image-to-image Translation (GP-UNIT), to improve the overall quality and applicability of the translation algorithm.

Translation Unsupervised Image-To-Image Translation

Balanced MSE for Imbalanced Visual Regression

1 code implementation30 Mar 2022 Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Ziwei Liu

Data imbalance exists ubiquitously in real-world visual regressions, e. g., age estimation and pose estimation, hurting the model's generalizability and fairness.

Age Estimation Fairness +2

SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance

no code implementations25 Mar 2022 Xinchi Zhou, Dongzhan Zhou, Wanli Ouyang, Hang Zhou, Ziwei Liu, Di Hu

Recent years have witnessed the success of deep learning on the visual sound separation task.

Versatile Multi-Modal Pre-Training for Human-Centric Perception

1 code implementation25 Mar 2022 Fangzhou Hong, Liang Pan, Zhongang Cai, Ziwei Liu

To tackle the challenges, we design the novel Dense Intra-sample Contrastive Learning and Sparse Structure-aware Contrastive Learning targets by hierarchically learning a modal-invariant latent space featured with continuous and ordinal feature distribution and structure-aware semantic consistency.

Contrastive Learning Human Parsing +1

Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory

1 code implementation24 Mar 2022 Li SiYao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, Ziwei Liu

With the learned choreographic memory, dance generation is realized on the quantized units that meet high choreography standards, such that the generated dancing sequences are confined within the spatial constraints.

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

1 code implementation24 Mar 2022 Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy

Recent studies on StyleGAN show high performance on artistic portrait generation by transfer learning with limited data.

Style Transfer Transfer Learning

X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation

no code implementations16 Mar 2022 Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Wang Kun, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao

2) Squeeze Stage: X-Learner condenses the model to a reasonable size and learns the universal and generalizable representation for various tasks transferring.

Object Detection Representation Learning +1

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

1 code implementation14 Mar 2022 Fangzhou Hong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu

In this work, we address the task of LiDAR-based panoptic segmentation, which aims to parse both objects and scenes in a unified manner.

Autonomous Driving Panoptic Segmentation

BiBERT: Accurate Fully Binarized BERT

1 code implementation ICLR 2022 Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu

The large pre-trained BERT has achieved remarkable performance on Natural Language Processing (NLP) tasks but is also computation and memory expensive.


Conditional Prompt Learning for Vision-Language Models

1 code implementation10 Mar 2022 Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu

With the rise of powerful pre-trained vision-language models like CLIP, it becomes essential to investigate ways to adapt these models to downstream datasets.

Domain Generalization

TCTrack: Temporal Contexts for Aerial Tracking

1 code implementation3 Mar 2022 Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu

Temporal contexts among consecutive frames are far from being fully utilized in existing visual trackers.

Visual Sound Localization in the Wild by Cross-Modal Interference Erasing

1 code implementation13 Feb 2022 Xian Liu, Rui Qian, Hang Zhou, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou

Specifically, we observe that the previous practice of learning only a single audio representation is insufficient due to the additive nature of audio signals.

Garment4D: Garment Reconstruction from Point Cloud Sequences

1 code implementation NeurIPS 2021 Fangzhou Hong, Liang Pan, Zhongang Cai, Ziwei Liu

The main challenges are two-fold: 1) effective 3D feature learning for fine details, and 2) capture of garment dynamics caused by the interaction between garments and the human body, especially for loose garments like skirts.

Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion

1 code implementation NeurIPS 2021 Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin

We adopt DCD to evaluate the point cloud completion task, where experimental results show that DCD pays attention to both the overall structure and local geometric details and provides a more reliable evaluation even when CD and EMD contradict each other.

Point Cloud Completion

Robust Partial-to-Partial Point Cloud Registration in a Full Range

1 code implementation30 Nov 2021 Liang Pan, Zhongang Cai, Ziwei Liu

\textbf{3)} Based on a synergy of hierarchical graph networks and graphical modeling, we propose the {H}ierarchical {G}raphical {M}odeling (\textbf{HGM}) architecture to encode robust descriptors consisting of i) a unary term learned from {\textit{RI}} features; and ii) multiple smoothness terms encoded from neighboring point relations at different scales through our TPT modules.

Graph Matching Point Cloud Registration

Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion

1 code implementation24 Nov 2021 Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin

We adopt DCD to evaluate the point cloud completion task, where experimental results show that DCD pays attention to both the overall structure and local geometric details and provides a more reliable evaluation even when CD and EMD contradict each other.

Point Cloud Completion

Few-Shot Object Detection via Association and DIscrimination

1 code implementation NeurIPS 2021 Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin

1) In the association step, in contrast to implicitly leveraging multiple base classes, we construct a compact novel class feature space via explicitly imitating a specific base class feature space.

Few-Shot Object Detection Semantic Similarity +1

Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept

no code implementations23 Nov 2021 Qiang Nie, Ziwei Liu, Yunhui Liu

Inspired by this, we propose a new framework that leverages the labeled 3D human poses to learn a 3D concept of the human body to reduce the ambiguity.

3D Pose Estimation Domain Adaptation

Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements

no code implementations1 Nov 2021 Yu Rong, Jingbo Wang, Ziwei Liu, Chen Change Loy

In this paper, we make the first attempt to reconstruct 3D interacting hands from monocular single RGB images.

3D Reconstruction

Generalized Out-of-Distribution Detection: A Survey

2 code implementations21 Oct 2021 Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu

In this survey, we first present a generic framework called generalized OOD detection, which encompasses the five aforementioned problems, i. e., AD, ND, OSR, OOD detection, and OD.

Anomaly Detection Autonomous Driving +4

Playing for 3D Human Recovery

no code implementations14 Oct 2021 Zhongang Cai, Mingyuan Zhang, Jiawei Ren, Chen Wei, Daxuan Ren, Jiatong Li, Zhengyu Lin, Haiyu Zhao, Shuai Yi, Lei Yang, Chen Change Loy, Ziwei Liu

Image- and video-based 3D human recovery (i. e. pose and shape estimation) have achieved substantial progress.

TAda! Temporally-Adaptive Convolutions for Video Understanding

2 code implementations ICLR 2022 Ziyuan Huang, Shiwei Zhang, Liang Pan, Zhiwu Qing, Mingqian Tang, Ziwei Liu, Marcelo H. Ang Jr

This work presents Temporally-Adaptive Convolutions (TAdaConv) for video understanding, which shows that adaptive weight calibration along the temporal dimension is an efficient way to facilitate modelling complex temporal dynamics in videos.

Ranked #31 on Action Recognition on Something-Something V2 (using extra training data)

Action Classification Action Recognition +2

A Comprehensive Overhaul of Distilling Unconditional GANs

no code implementations29 Sep 2021 Guodong Xu, Yuenan Hou, Ziwei Liu, Chen Change Loy

To further enhance the semantic consistency between the teacher and student model, we present another latent-direction-based distillation loss that preserves the semantic relations in latent space.

Knowledge Distillation

Bayesian Imbalanced Regression Debiasing

no code implementations29 Sep 2021 Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Ziwei Liu

Compared to imbalanced and long-tailed classification, imbalanced regression has its unique challenges as the regression label space can be continuous, boundless, and high-dimensional.

Age Estimation imbalanced classification +1

Talk-to-Edit: Fine-Grained Facial Editing via Dialog

1 code implementation ICCV 2021 Yuming Jiang, Ziqi Huang, Xingang Pan, Chen Change Loy, Ziwei Liu

In this work, we propose Talk-to-Edit, an interactive facial editing framework that performs fine-grained attribute manipulation through dialog between the user and the system.

Facial Editing Fine-Grained Facial Editing

Learning to Prompt for Vision-Language Models

1 code implementation2 Sep 2021 Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu

Large pre-trained vision-language models like CLIP have shown great potential in learning representations that are transferable across a wide range of downstream tasks.

Domain Generalization Representation Learning

Semantically Coherent Out-of-Distribution Detection

2 code implementations ICCV 2021 Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu

The proposed UDG can not only enrich the semantic knowledge of the model by exploiting unlabeled data in an unsupervised manner, but also distinguish ID/OOD samples to enhance ID classification and OOD detection tasks simultaneously.

OOD Detection Out-of-Distribution Detection

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration

no code implementations ICCV 2021 Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li

Confidence calibration is of great importance to the reliability of decisions made by machine learning systems.

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency

1 code implementation ICCV 2021 Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu

In addition, existing 3D domain adaptive detection methods often assume prior access to the target domain annotations, which is rarely feasible in the real world.

3D Object Detection Autonomous Driving

Unsupervised Object-Level Representation Learning from Scene Images

1 code implementation NeurIPS 2021 Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy

Extensive experiments on COCO show that ORL significantly improves the performance of self-supervised learning on scene images, even surpassing supervised ImageNet pre-training on several downstream tasks.

Representation Learning Self-Supervised Learning +1

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts

1 code implementation14 Jun 2021 Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu

By comprehensively investigating these GE-ViTs and comparing with their corresponding CNN models, we observe: 1) For the enhanced model, larger ViTs still benefit more for the OOD generalization.

Out-of-Distribution Generalization Self-Supervised Learning

Robust Reference-based Super-Resolution via C2-Matching

1 code implementation CVPR 2021 Yuming Jiang, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Ziwei Liu

However, performing local transfer is difficult because of two gaps between input and reference images: the transformation gap (e. g. scale and rotation) and the resolution gap (e. g. HR and LR).

Reference-based Super-Resolution

Semi-Supervised Domain Generalization with Stochastic StyleMatch

2 code implementations1 Jun 2021 Kaiyang Zhou, Chen Change Loy, Ziwei Liu

We find that the DG methods, which by design are unable to handle unlabeled data, perform poorly with limited labels in SSDG; the SSL methods, especially FixMatch, obtain much better results but are still far away from the basic vanilla model trained using full labels.

Domain Generalization

Iterative Human and Automated Identification of Wildlife Images

1 code implementation5 May 2021 Zhongqi Miao, Ziwei Liu, Kaitlyn M. Gaynor, Meredith S. Palmer, Stella X. Yu, Wayne M. Getz

Camera trapping is increasingly used to monitor wildlife, but this technology typically requires extensive data annotation.

Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

1 code implementation CVPR 2021 Hang Zhou, Yasheng Sun, Wayne Wu, Chen Change Loy, Xiaogang Wang, Ziwei Liu

While speech content information can be defined by learning the intrinsic synchronization between audio-visual modalities, we identify that a pose code will be complementarily learned in a modulated convolution-based reconstruction framework.

Talking Face Generation

Variational Relational Point Completion Network

1 code implementation CVPR 2021 Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu

In particular, we propose a dual-path architecture to enable principled probabilistic modeling across partial and complete clouds.

Point Cloud Completion

Visually Informed Binaural Audio Generation without Binaural Audios

no code implementations CVPR 2021 Xudong Xu, Hang Zhou, Ziwei Liu, Bo Dai, Xiaogang Wang, Dahua Lin

Moreover, combined with binaural recordings, our method is able to further boost the performance of binaural audio generation under supervised settings.

Audio Generation

Deep Animation Video Interpolation in the Wild

1 code implementation CVPR 2021 Li SiYao, Shiyu Zhao, Weijiang Yu, Wenxiu Sun, Dimitris N. Metaxas, Chen Change Loy, Ziwei Liu

In the animation industry, cartoon videos are usually produced at low frame rate since hand drawing of such frames is costly and time-consuming.

Frame Optical Flow Estimation +1

Adversarial Robustness under Long-Tailed Distribution

1 code implementation CVPR 2021 Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin

We then perform a systematic study on existing long-tailed recognition methods in conjunction with the adversarial training framework.

Adversarial Robustness

Incorporating Convolution Designs into Visual Transformers

2 code implementations ICCV 2021 Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu

Motivated by the success of Transformers in natural language processing (NLP) tasks, there emerge some attempts (e. g., ViT and DeiT) to apply Transformers to the vision domain.

 Ranked #1 on Image Classification on Oxford-IIIT Pets (using extra training data)

Image Classification

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

1 code implementation CVPR 2021 Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu

To counter this emerging threat, we construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification, including two-way (real / fake), three-way (real / fake with identity-replaced forgery approaches / fake with identity-remained forgery approaches), and n-way (real and 15 respective forgery approaches) classification.

Classification General Classification

Domain Generalization: A Survey

2 code implementations3 Mar 2021 Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy

Generalization to out-of-distribution (OOD) data is a capability natural to humans yet challenging for machines to reproduce.

Action Recognition Data Augmentation +7

Differentiable Dynamic Wirings for Neural Networks

no code implementations ICCV 2021 Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu

A standard practice of deploying deep neural networks is to apply the same architecture to all the input instances.

Object Detection

Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory

no code implementations29 Dec 2020 Yu Rong, Ziwei Liu, Chen Change Loy

The reason is that most of the current models perform regression based on a single human prototype, which is similar to common poses while far from the rare poses.

3D Human Reconstruction

ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on

1 code implementation18 Dec 2020 Gaurav Kuppa, Andrew Jong, Vera Liu, Ziwei Liu, Teng-Sheng Moh

We build a series of scientific experiments to isolate effective design choices in video synthesis for virtual clothing try-on.

Neural Rendering Virtual Try-on

Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup

1 code implementation17 Dec 2020 Guodong Xu, Ziwei Liu, Chen Change Loy

Our goal is to achieve a performance comparable to conventional knowledge distillation with a lower computation cost during training.

Informativeness Knowledge Distillation +2

CARAFE++: Unified Content-Aware ReAssembly of FEatures

no code implementations7 Dec 2020 Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

Feature reassembly, i. e. feature downsampling and upsampling, is a key operation in a number of modern convolutional network architectures, e. g., residual networks and feature pyramids.

Image Inpainting Instance Segmentation +2

Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs

1 code implementation ICLR 2021 Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, Ping Luo

Through our investigation, we found that such a pre-trained GAN indeed contains rich 3D knowledge and thus can be used to recover 3D shape from a single 2D image in an unsupervised manner.

3D Shape Reconstruction

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

2 code implementations ICLR 2021 Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu

We take a dynamic view of the training data and provide a principled model bias and variance analysis as the training data fluctuates: Existing long-tail classifiers invariably increase the model variance and the head-tail model bias gap remains large, due to more and larger confusion with hard negatives for the tail.

Image Classification imbalanced classification +1

Person-in-Context Synthesiswith Compositional Structural Space

no code implementations28 Aug 2020 Weidong Yin, Ziwei Liu, Leonid Sigal

To handle the stark difference in input structures, we proposed two separate neural branches to attentively composite the respective (context/person) inputs into shared ``compositional structural space'', which encodes shape, location and appearance information for both context and person structures in a disentangled manner.

Delving into Inter-Image Invariance for Unsupervised Visual Representations

1 code implementation26 Aug 2020 Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy

In this work, we present a rigorous and comprehensive study on inter-image invariance learning from three main constituting components: pseudo-label maintenance, sampling strategy, and decision boundary design.

Contrastive Learning Representation Learning

Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination

2 code implementations CVPR 2021 Xudong Wang, Ziwei Liu, Stella X. Yu

Unsupervised feature learning has made great strides with contrastive learning based on instance discrimination and invariant mapping, as benchmarked on curated class-balanced datasets.

Contrastive Learning Semi-Supervised Image Classification +2

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

1 code implementation ECCV 2020 Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin

We present a new loss function called Distribution-Balanced Loss for the multi-label recognition problems that exhibit long-tailed class distributions.

General Classification Multi-Label Classification

Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement

1 code implementation ECCV 2020 Qiang Nie, Ziwei Liu, Yun-hui Liu

Learning a good 3D human pose representation is important for human pose related tasks, e. g. human 3D pose estimation and action recognition.

3D Pose Estimation Action Recognition +2

Unsupervised Landmark Learning from Unpaired Data

1 code implementation29 Jun 2020 Yinghao Xu, Ceyuan Yang, Ziwei Liu, Bo Dai, Bolei Zhou

Recent attempts for unsupervised landmark learning leverage synthesized image pairs that are similar in appearance but different in poses.

Knowledge Distillation Meets Self-Supervision

2 code implementations ECCV 2020 Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy

Knowledge distillation, which involves extracting the "dark knowledge" from a teacher network to guide the learning of a student network, has emerged as an important technique for model compression and transfer learning.

Contrastive Learning Knowledge Distillation +2

MMFashion: An Open-Source Toolbox for Visual Fashion Analysis

3 code implementations18 May 2020 Xin Liu, Jiancheng Li, Jiaqi Wang, Ziwei Liu

This toolbox supports a wide spectrum of fashion analysis tasks, including Fashion Attribute Prediction, Fashion Recognition and Retrieval, Fashion Landmark Detection, Fashion Parsing and Segmentation and Fashion Compatibility and Recommendation.

Self-Supervised Scene De-occlusion

1 code implementation CVPR 2020 Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy

This is achieved via Partial Completion Network (PCNet)-mask (M) and -content (C), that learn to recover fractions of object masks and contents, respectively, in a self-supervised manner.

Image Manipulation Scene Understanding

Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images

1 code implementation CVPR 2020 Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang

Though face rotation has achieved rapid progress in recent years, the lack of high-quality paired training data remains a great hurdle for existing methods.

3D FACE MODELING Data Augmentation +1

Learning Diverse Fashion Collocation by Neural Graph Filtering

no code implementations11 Mar 2020 Xin Liu, Yongbin Sun, Ziwei Liu, Dahua Lin

To facilitate a comprehensive study on diverse fashion collocation, we reorganize Amazon Fashion dataset with carefully designed evaluation protocols.

Recommendation Systems

Learning to Synthesize Fashion Textures

no code implementations18 Nov 2019 Wu Shi, Tak-Wai Hui, Ziwei Liu, Dahua Lin, Chen Change Loy

Another important observation is that fashion textures are multi-modal.

Vision-Infused Deep Audio Inpainting

no code implementations ICCV 2019 Hang Zhou, Ziwei Liu, Xudong Xu, Ping Luo, Xiaogang Wang

Extensive experiments demonstrate that our framework is capable of inpainting realistic and varying audio segments with or without visual contexts.

Audio inpainting Image Inpainting

Open Compound Domain Adaptation

no code implementations CVPR 2020 Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong

A typical domain adaptation approach is to adapt models trained on the annotated data in a source domain (e. g., sunny weather) for achieving high performance on the test data in a target domain (e. g., rainy weather).

Domain Adaptation Facial Expression Recognition +1

Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild

1 code implementation ICCV 2019 Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy

Specifically, we focus on the challenging task of in-the-wild 3D human recovery from single images when paired 3D annotations are not fully available.

One-shot Face Reenactment

1 code implementation5 Aug 2019 Yunxuan Zhang, Siwei Zhang, Yue He, Cheng Li, Chen Change Loy, Ziwei Liu

However, in real-world scenario end-users often only have one target face at hand, rendering existing methods inapplicable.

Face Reconstruction Face Reenactment

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

6 code implementations CVPR 2020 Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo

To overcome these drawbacks, we propose a novel framework termed MaskGAN, enabling diverse and interactive face manipulation.

Image Manipulation

CARAFE: Content-Aware ReAssembly of FEatures

2 code implementations ICCV 2019 Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

CARAFE introduces little computational overhead and can be readily integrated into modern network architectures.

Instance Segmentation Object Detection +1

Large-Scale Long-Tailed Recognition in an Open World

1 code implementation CVPR 2019 Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu

We define Open Long-Tailed Recognition (OLTR) as learning from such naturally distributed data and optimizing the classification accuracy over a balanced test set which include head, tail, and open classes.

Classification Few-Shot Learning +4

Self-Supervised Learning via Conditional Motion Propagation

no code implementations CVPR 2019 Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy

Instead of explicitly modeling the motion probabilities, we design the pretext task as a conditional motion propagation problem.

Human Parsing Instance Segmentation +2

Hybrid Task Cascade for Instance Segmentation

5 code implementations CVPR 2019 Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

In exploring a more effective approach, we find that the key to a successful instance segmentation cascade is to fully leverage the reciprocal relationship between detection and segmentation.

Instance Segmentation Object Detection +1

Instance-level Facial Attributes Transfer with Geometry-Aware Flow

no code implementations30 Nov 2018 Weidong Yin, Ziwei Liu, Chen Change Loy

Geometry-aware flow is able to warp the source face attribute into the target face context and generate a warp-and-blend result.

Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition

1 code implementation ECCV 2018 Xiaohang Zhan, Ziwei Liu, Junjie Yan, Dahua Lin, Chen Change Loy

Face recognition has witnessed great progress in recent years, mainly attributed to the high-capacity model designed and the abundant labeled data collected.

Face Recognition

Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

1 code implementation20 Jul 2018 Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang

Talking face generation aims to synthesize a sequence of face images that correspond to a clip of speech.

Lip Reading Talking Face Generation +1

DPatch: An Adversarial Patch Attack on Object Detectors

1 code implementation5 Jun 2018 Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Hai Li, Yiran Chen

Successful realization of DPatch also illustrates the intrinsic vulnerability of the modern detector architectures to such patch-based adversarial attacks.

Im2Avatar: Colorful 3D Reconstruction from a Single Image

1 code implementation17 Apr 2018 Yongbin Sun, Ziwei Liu, Yue Wang, Sanjay E. Sarma

In this work, we study a new problem, that is, simultaneously recovering 3D shape and surface color from a single image, namely "colorful 3D reconstruction".

3D Reconstruction

Adaptive Affinity Fields for Semantic Segmentation

1 code implementation ECCV 2018 Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu

Semantic segmentation has made much progress with increasingly powerful pixel-wise classifiers and incorporating structural priors via Conditional Random Fields (CRF) or Generative Adversarial Networks (GAN).

Semantic Segmentation

Dynamic Graph CNN for Learning on Point Clouds

14 code implementations24 Jan 2018 Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon

Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition devices.

3D Part Segmentation 3D Point Cloud Classification

Mix-and-Match Tuning for Self-Supervised Semantic Segmentation

no code implementations2 Dec 2017 Xiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy

The key of this new form of learning is to design a proxy task (e. g. image colorization), from which a discriminative loss can be formulated on unlabeled data.

Colorization Semantic Segmentation

Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

2 code implementations7 Aug 2017 Sijie Yan, Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang

This work addresses unconstrained fashion landmark detection, where clothing bounding boxes are not provided in both training and test.

Video Object Segmentation with Re-identification

3 code implementations1 Aug 2017 Xiaoxiao Li, Yuankai Qi, Zhe Wang, Kai Chen, Ziwei Liu, Jianping Shi, Ping Luo, Xiaoou Tang, Chen Change Loy

Specifically, our Video Object Segmentation with Re-identification (VS-ReID) model includes a mask propagation module and a ReID module.

Semantic Segmentation Video Object Segmentation +2

Video Frame Synthesis using Deep Voxel Flow

3 code implementations ICCV 2017 Ziwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, Aseem Agarwala

We combine the advantages of these two methods by training a deep network that learns to synthesize video frames by flowing pixel values from existing ones, which we call deep voxel flow.

Frame Optical Flow Estimation

Semantic Facial Expression Editing using Autoencoded Flow

no code implementations30 Nov 2016 Raymond Yeh, Ziwei Liu, Dan B. Goldman, Aseem Agarwala

High-level manipulation of facial expressions in images --- such as changing a smile to a neutral expression --- is challenging because facial expression changes are highly non-linear, and vary depending on the appearance of the face.

Fashion Landmark Detection in the Wild

4 code implementations10 Aug 2016 Ziwei Liu, Sijie Yan, Ping Luo, Xiaogang Wang, Xiaoou Tang

Fashion landmark is also compared to clothing bounding boxes and human joints in two applications, fashion attribute prediction and clothes retrieval, showing that fashion landmark is a more discriminative representation to understand fashion images.

Pose Estimation

DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations

no code implementations CVPR 2016 Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang

To demonstrate the advantages of DeepFashion, we propose a new deep model, namely FashionNet, which learns clothing features by jointly predicting clothing attributes and landmarks.

Semantic Image Segmentation via Deep Parsing Network

no code implementations ICCV 2015 Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen Change Loy, Xiaoou Tang

This paper addresses semantic image segmentation by incorporating rich information into Markov Random Field (MRF), including high-order relations and mixture of label contexts.

Semantic Segmentation

Deep Learning Face Attributes in the Wild

1 code implementation ICCV 2015 Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang

LNet is pre-trained by massive general object categories for face localization, while ANet is pre-trained by massive face identities for attribute prediction.

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