Search Results for author: Tao Mei

Found 192 papers, 67 papers with code

Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition

no code implementations ECCV 2020 Xiaobo Wang, Tianyu Fu, Shengcai Liao, Shuo Wang, Zhen Lei, Tao Mei

Knowledge distillation is an effective tool to compress large pre-trained Convolutional Neural Networks (CNNs) or their ensembles into models applicable to mobile and embedded devices.

Face Recognition Knowledge Distillation +1

Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution

no code implementations25 Mar 2024 Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei

Technically, SATeCo freezes all the parameters of the pre-trained UNet and VAE, and only optimizes two deliberately-designed spatial feature adaptation (SFA) and temporal feature alignment (TFA) modules, in the decoder of UNet and VAE.

Decoder Denoising +4

VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation

no code implementations25 Mar 2024 Yang Chen, Yingwei Pan, Haibo Yang, Ting Yao, Tao Mei

In this work, we introduce a novel Visual Prompt-guided text-to-3D diffusion model (VP3D) that explicitly unleashes the visual appearance knowledge in 2D visual prompt to boost text-to-3D generation.

3D Generation Text to 3D +1

SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer

no code implementations25 Mar 2024 Rui Zhu, Yingwei Pan, Yehao Li, Ting Yao, Zhenglong Sun, Tao Mei, Chang Wen Chen

Despite this progress, mask strategy still suffers from two inherent limitations: (a) training-inference discrepancy and (b) fuzzy relations between mask reconstruction & generative diffusion process, resulting in sub-optimal training of DiT.

Decoder Image Generation

TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models

no code implementations25 Mar 2024 Zhongwei Zhang, Fuchen Long, Yingwei Pan, Zhaofan Qiu, Ting Yao, Yang Cao, Tao Mei

Next, TRIP executes a residual-like dual-path scheme for noise prediction: 1) a shortcut path that directly takes image noise prior as the reference noise of each frame to amplify the alignment between the first frame and subsequent frames; 2) a residual path that employs 3D-UNet over noised video and static image latent codes to enable inter-frame relational reasoning, thereby easing the learning of the residual noise for each frame.

Image to Video Generation Relational Reasoning +1

HIRI-ViT: Scaling Vision Transformer with High Resolution Inputs

no code implementations18 Mar 2024 Ting Yao, Yehao Li, Yingwei Pan, Tao Mei

Instead, we present a new hybrid backbone with HIgh-Resolution Inputs (namely HIRI-ViT), that upgrades prevalent four-stage ViT to five-stage ViT tailored for high-resolution inputs.

VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM

no code implementations2 Jan 2024 Fuchen Long, Zhaofan Qiu, Ting Yao, Tao Mei

The diffusion model incorporates the reference images as the condition and alignment to strengthen the content consistency of multi-scene videos.

Descriptive Video Generation

3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion Models

1 code implementation9 Nov 2023 Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Tao Mei

In this work, we propose a new 3DStyle-Diffusion model that triggers fine-grained stylization of 3D meshes with additional controllable appearance and geometric guidance from 2D Diffusion models.

Image Generation

Control3D: Towards Controllable Text-to-3D Generation

no code implementations9 Nov 2023 Yang Chen, Yingwei Pan, Yehao Li, Ting Yao, Tao Mei

In particular, a 2D conditioned diffusion model (ControlNet) is remoulded to guide the learning of 3D scene parameterized as NeRF, encouraging each view of 3D scene aligned with the given text prompt and hand-drawn sketch.

3D Generation Text to 3D

ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors

no code implementations9 Nov 2023 Jingwen Chen, Yingwei Pan, Ting Yao, Tao Mei

To achieve this, we present a new diffusion model (ControlStyle) via upgrading a pre-trained text-to-image model with a trainable modulation network enabling more conditions of text prompts and style images.

Style Transfer Text-to-Image Generation

Bidirectional Knowledge Reconfiguration for Lightweight Point Cloud Analysis

no code implementations8 Oct 2023 Peipei Li, Xing Cui, Yibo Hu, Man Zhang, Ting Yao, Tao Mei

Directly employing small models may result in a significant drop in performance since it is difficult for a small model to adequately capture local structure and global shape information simultaneously, which are essential clues for point cloud analysis.

Semantic Segmentation

Selective Volume Mixup for Video Action Recognition

no code implementations18 Sep 2023 Yi Tan, Zhaofan Qiu, Yanbin Hao, Ting Yao, Xiangnan He, Tao Mei

In this paper, we propose a novel video augmentation strategy named Selective Volume Mixup (SV-Mix) to improve the generalization ability of deep models with limited training videos.

Action Recognition Image Augmentation +1

Learning and Evaluating Human Preferences for Conversational Head Generation

no code implementations20 Jul 2023 Mohan Zhou, Yalong Bai, Wei zhang, Ting Yao, Tiejun Zhao, Tao Mei

In this paper, we propose a novel learning-based evaluation metric named Preference Score (PS) for fitting human preference according to the quantitative evaluations across different dimensions.

Deep Equilibrium Multimodal Fusion

no code implementations29 Jun 2023 Jinhong Ni, Yalong Bai, Wei zhang, Ting Yao, Tao Mei

Multimodal fusion integrates the complementary information present in multiple modalities and has gained much attention recently.

Visual Question Answering (VQA)

Visual-Aware Text-to-Speech

no code implementations21 Jun 2023 Mohan Zhou, Yalong Bai, Wei zhang, Ting Yao, Tiejun Zhao, Tao Mei

Dynamically synthesizing talking speech that actively responds to a listening head is critical during the face-to-face interaction.

Speech Synthesis

TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments

3 code implementations CVPR 2023 Yu Sun, Qian Bao, Wu Liu, Tao Mei, Michael J. Black

Although the estimation of 3D human pose and shape (HPS) is rapidly progressing, current methods still cannot reliably estimate moving humans in global coordinates, which is critical for many applications.

3D Human Pose Estimation regression

Modality-Agnostic Debiasing for Single Domain Generalization

no code implementations CVPR 2023 Sanqing Qu, Yingwei Pan, Guang Chen, Ting Yao, Changjun Jiang, Tao Mei

We validate the superiority of our MAD in a variety of single-DG scenarios with different modalities, including recognition on 1D texts, 2D images, 3D point clouds, and semantic segmentation on 2D images.

Data Augmentation Domain Generalization +1

HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces

no code implementations CVPR 2023 Ting Yao, Yehao Li, Yingwei Pan, Tao Mei

Next, as every two neighbor edges compose a surface, we obtain the edge-level representation of each anchor edge via surface-to-edge aggregation over all neighbor surfaces.

3D Object Classification Semantic Segmentation

PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering

1 code implementation CVPR 2023 Fuchen Long, Ting Yao, Zhaofan Qiu, Lusong Li, Tao Mei

Feature invariance under different data transformations, i. e., transformation invariance, can be regarded as a type of self-supervision for representation learning.

Clustering Deep Clustering +4

Learning Neural Implicit Surfaces with Object-Aware Radiance Fields

no code implementations ICCV 2023 Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei

Then, we build the geometric correspondence between 2D planes and 3D meshes by rasterization, and project the estimated object regions into 3D explicit object surfaces by aggregating the object information across multiple views.

3D Object Reconstruction Object

ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion

no code implementations ICCV 2023 Qi Cai, Yingwei Pan, Ting Yao, Chong-Wah Ngo, Tao Mei

Recent progress on multi-modal 3D object detection has featured BEV (Bird-Eye-View) based fusion, which effectively unifies both LiDAR point clouds and camera images in a shared BEV space.

3D Object Detection Depth Estimation +2

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

5 code implementations AAAI 2021 Yachao Zhang, Zonghao Li, Yuan Xie, Yanyun Qu, Cuihua Li, Tao Mei

Firstly, we construct a pretext task, \textit{i. e.,} point cloud colorization, with a self-supervised learning to transfer the learned prior knowledge from a large amount of unlabeled point cloud to a weakly supervised network.

Colorization Pseudo Label +3

Semantic-Conditional Diffusion Networks for Image Captioning

1 code implementation CVPR 2023 Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Jianlin Feng, Hongyang Chao, Tao Mei

The rich semantics are further regarded as semantic prior to trigger the learning of Diffusion Transformer, which produces the output sentence in a diffusion process.

Cross-Modal Retrieval Decoder +4

SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement

1 code implementation15 Nov 2022 Zhaofan Qiu, Yehao Li, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei

In this paper, we propose a novel deep architecture tailored for 3D point cloud applications, named as SPE-Net.

3D Cascade RCNN: High Quality Object Detection in Point Clouds

1 code implementation15 Nov 2022 Qi Cai, Yingwei Pan, Ting Yao, Tao Mei

Recent progress on 2D object detection has featured Cascade RCNN, which capitalizes on a sequence of cascade detectors to progressively improve proposal quality, towards high-quality object detection.

3D Object Detection Object +2

Explaining Cross-Domain Recognition with Interpretable Deep Classifier

no code implementations15 Nov 2022 Yiheng Zhang, Ting Yao, Zhaofan Qiu, Tao Mei

In this paper, we ask the question: how much each sample in source domain contributes to the network's prediction on the samples from target domain.

Unsupervised Domain Adaptation

Dynamic Temporal Filtering in Video Models

1 code implementation15 Nov 2022 Fuchen Long, Zhaofan Qiu, Yingwei Pan, Ting Yao, Chong-Wah Ngo, Tao Mei

The pre-determined kernel size severely limits the temporal receptive fields and the fixed weights treat each spatial location across frames equally, resulting in sub-optimal solution for long-range temporal modeling in natural scenes.

Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization

1 code implementation26 Sep 2022 Jingyang Lin, Yu Wang, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei

Existing works attempt to solve the problem by explicitly imposing uncertainty on classifiers when OOD inputs are exposed to the classifier during training.

Outlier Detection Out-of-Distribution Detection +1

Generalized One-shot Domain Adaptation of Generative Adversarial Networks

2 code implementations8 Sep 2022 ZiCheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei

While previous works mainly focus on style transfer, we propose a novel and concise framework to address the \textit{generalized one-shot adaptation} task for both style and entity transfer, in which a reference image and its binary entity mask are provided.

Domain Adaptation Generative Adversarial Network +1

WOC: A Handy Webcam-based 3D Online Chatroom

no code implementations2 Sep 2022 Chuanhang Yan, Yu Sun, Qian Bao, Jinhui Pang, Wu Liu, Tao Mei

We develop WOC, a webcam-based 3D virtual online chatroom for multi-person interaction, which captures the 3D motion of users and drives their individual 3D virtual avatars in real-time.

MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition

no code implementations1 Sep 2022 Xiaodong Chen, Wu Liu, Xinchen Liu, Yongdong Zhang, Jungong Han, Tao Mei

In DestFormer, the spatial and temporal dimensions of the 4D point cloud videos are decoupled to achieve efficient self-attention for learning both long-term and short-term features.

Action Recognition

Lightweight and Progressively-Scalable Networks for Semantic Segmentation

1 code implementation27 Jul 2022 Yiheng Zhang, Ting Yao, Zhaofan Qiu, Tao Mei

In this paper, we thoroughly analyze the design of convolutional blocks (the type of convolutions and the number of channels in convolutions), and the ways of interactions across multiple scales, all from lightweight standpoint for semantic segmentation.

Segmentation Semantic Segmentation

Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning

2 code implementations11 Jul 2022 Ting Yao, Yingwei Pan, Yehao Li, Chong-Wah Ngo, Tao Mei

Motivated by the wavelet theory, we construct a new Wavelet Vision Transformer (\textbf{Wave-ViT}) that formulates the invertible down-sampling with wavelet transforms and self-attention learning in a unified way.

Image Classification Instance Segmentation +4

Dual Vision Transformer

1 code implementation11 Jul 2022 Ting Yao, Yehao Li, Yingwei Pan, Yu Wang, Xiao-Ping Zhang, Tao Mei

Dual-ViT is henceforth able to reduce the computational complexity without compromising much accuracy.

Video2StyleGAN: Encoding Video in Latent Space for Manipulation

no code implementations27 Jun 2022 Jiyang Yu, Jingen Liu, Jing Huang, Wei zhang, Tao Mei

To this end, we propose a novel network to encode face videos into the latent space of StyleGAN for semantic face video manipulation.

Bi-Calibration Networks for Weakly-Supervised Video Representation Learning

1 code implementation21 Jun 2022 Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei

The video-to-text/video-to-query projections over text prototypes/query vocabulary then start the text-to-query or query-to-text calibration to estimate the amendment to query or text.

Representation Learning

Comprehending and Ordering Semantics for Image Captioning

1 code implementation CVPR 2022 Yehao Li, Yingwei Pan, Ting Yao, Tao Mei

In this paper, we propose a new recipe of Transformer-style structure, namely Comprehending and Ordering Semantics Networks (COS-Net), that novelly unifies an enriched semantic comprehending and a learnable semantic ordering processes into a single architecture.

Cross-Modal Retrieval Image Captioning +2

Stand-Alone Inter-Frame Attention in Video Models

1 code implementation CVPR 2022 Fuchen Long, Zhaofan Qiu, Yingwei Pan, Ting Yao, Jiebo Luo, Tao Mei

In this paper, we present a new recipe of inter-frame attention block, namely Stand-alone Inter-Frame Attention (SIFA), that novelly delves into the deformation across frames to estimate local self-attention on each spatial location.

Action Classification Action Recognition +1

MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing

no code implementations CVPR 2022 Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Tao Mei

By deriving the novel grouped time mixing (GTM) operations, we equip the basic token-mixing MLP with the ability of temporal modeling.

3D Architecture Action Classification +2

Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation

1 code implementation13 Jun 2022 Yingwei Pan, Yehao Li, Yiheng Zhang, Qi Cai, Fuchen Long, Zhaofan Qiu, Ting Yao, Tao Mei

This paper presents an overview and comparative analysis of our systems designed for the following two tracks in SAPIEN ManiSkill Challenge 2021: No Interaction Track: The No Interaction track targets for learning policies from pre-collected demonstration trajectories.

Imitation Learning

Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection

1 code implementation CVPR 2022 Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang-Wen Chen

Such design decomposes the process of HOI set prediction into two subsequent phases, i. e., an interaction proposal generation is first performed, and then followed by transforming the non-parametric interaction proposals into HOI predictions via a structure-aware Transformer.

Human-Object Interaction Detection Object

Structured Two-stream Attention Network for Video Question Answering

no code implementations2 Jun 2022 Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen

To date, visual question answering (VQA) (i. e., image QA and video QA) is still a holy grail in vision and language understanding, especially for video QA.

Question Answering Video Question Answering +2

Gait Recognition in the Wild with Dense 3D Representations and A Benchmark

1 code implementation CVPR 2022 Jinkai Zheng, Xinchen Liu, Wu Liu, Lingxiao He, Chenggang Yan, Tao Mei

Based on Gait3D, we comprehensively compare our method with existing gait recognition approaches, which reflects the superior performance of our framework and the potential of 3D representations for gait recognition in the wild.

Gait Recognition in the Wild

A-ACT: Action Anticipation through Cycle Transformations

no code implementations2 Apr 2022 Akash Gupta, Jingen Liu, Liefeng Bo, Amit K. Roy-Chowdhury, Tao Mei

To incorporate this ability in intelligent systems a question worth pondering upon is how exactly do we anticipate?

Action Anticipation

Visualizing and Understanding Patch Interactions in Vision Transformer

no code implementations11 Mar 2022 Jie Ma, Yalong Bai, Bineng Zhong, Wei zhang, Ting Yao, Tao Mei

Vision Transformer (ViT) has become a leading tool in various computer vision tasks, owing to its unique self-attention mechanism that learns visual representations explicitly through cross-patch information interactions.

Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework

no code implementations9 Mar 2022 Xiaodong Chen, Xinchen Liu, Wu Liu, Kun Liu, Dong Wu, Yongdong Zhang, Tao Mei

Therefore, researchers start to focus on a new task, Part-level Action Parsing (PAP), which aims to not only predict the video-level action but also recognize the frame-level fine-grained actions or interactions of body parts for each person in the video.

Action Parsing Action Recognition

Freeform Body Motion Generation from Speech

1 code implementation4 Mar 2022 Jing Xu, Wei zhang, Yalong Bai, Qibin Sun, Tao Mei

Motivated by studies in linguistics, we decompose the co-speech motion into two complementary parts: pose modes and rhythmic dynamics.

Cross-modal Contrastive Distillation for Instructional Activity Anticipation

no code implementations18 Jan 2022 Zhengyuan Yang, Jingen Liu, Jing Huang, Xiaodong He, Tao Mei, Chenliang Xu, Jiebo Luo

In this study, we aim to predict the plausible future action steps given an observation of the past and study the task of instructional activity anticipation.

Knowledge Distillation

Optimization Planning for 3D ConvNets

1 code implementation11 Jan 2022 Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Tao Mei

In this paper, we decompose the path into a series of training "states" and specify the hyper-parameters, e. g., learning rate and the length of input clips, in each state.

Video Recognition

Condensing a Sequence to One Informative Frame for Video Recognition

no code implementations ICCV 2021 Zhaofan Qiu, Ting Yao, Yan Shu, Chong-Wah Ngo, Tao Mei

This paper studies a two-step alternative that first condenses the video sequence to an informative "frame" and then exploits off-the-shelf image recognition system on the synthetic frame.

Motion Estimation valid +1

Representing Videos as Discriminative Sub-graphs for Action Recognition

no code implementations CVPR 2021 Dong Li, Zhaofan Qiu, Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei

For each action category, we execute online clustering to decompose the graph into sub-graphs on each scale through learning Gaussian Mixture Layer and select the discriminative sub-graphs as action prototypes for recognition.

Action Recognition Graph Learning +1

Motion-Focused Contrastive Learning of Video Representations

1 code implementation ICCV 2021 Rui Li, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei

To this end, we compose a duet of exploiting the motion for data augmentation and feature learning in the regime of contrastive learning.

Contrastive Learning Data Augmentation +2

Smart Director: An Event-Driven Directing System for Live Broadcasting

no code implementations11 Jan 2022 Yingwei Pan, Yue Chen, Qian Bao, Ning Zhang, Ting Yao, Jingen Liu, Tao Mei

To our best knowledge, our system is the first end-to-end automated directing system for multi-camera sports broadcasting, completely driven by the semantic understanding of sports events.

Event Detection Highlight Detection

Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training

no code implementations11 Jan 2022 Yehao Li, Jiahao Fan, Yingwei Pan, Ting Yao, Weiyao Lin, Tao Mei

Vision-language pre-training has been an emerging and fast-developing research topic, which transfers multi-modal knowledge from rich-resource pre-training task to limited-resource downstream tasks.

Decoder Image Captioning +4

Responsive Listening Head Generation: A Benchmark Dataset and Baseline

no code implementations27 Dec 2021 Mohan Zhou, Yalong Bai, Wei zhang, Ting Yao, Tiejun Zhao, Tao Mei

Automatically synthesizing listening behavior that actively responds to a talking head, is critical to applications such as digital human, virtual agents and social robots.

Talking Head Generation Translation

A Style and Semantic Memory Mechanism for Domain Generalization

no code implementations ICCV 2021 Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei

Correspondingly, we also propose a novel "jury" mechanism, which is particularly effective in learning useful semantic feature commonalities among domains.

Domain Generalization

CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising

no code implementations14 Dec 2021 Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei

BERT-type structure has led to the revolution of vision-language pre-training and the achievement of state-of-the-art results on numerous vision-language downstream tasks.

Cross-Modal Retrieval Decoder +7

Transferrable Contrastive Learning for Visual Domain Adaptation

no code implementations14 Dec 2021 Yang Chen, Yingwei Pan, Yu Wang, Ting Yao, Xinmei Tian, Tao Mei

From this point, we present a particular paradigm of self-supervised learning tailored for domain adaptation, i. e., Transferrable Contrastive Learning (TCL), which links the SSL and the desired cross-domain transferability congruently.

Contrastive Learning Domain Adaptation +2

Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning

1 code implementation1 Dec 2021 Hangtong Wu, Dan Zen, Yibo Hu, Hailin Shi, Tao Mei

Such noisy samples are hard to predict precise depth values, thus may obstruct the widely-used depth supervised optimization.

Disentanglement Face Anti-Spoofing +1

Directional Self-supervised Learning for Heavy Image Augmentations

no code implementations CVPR 2022 Yalong Bai, Yifan Yang, Wei zhang, Tao Mei

Specifically, we adapt heavy augmentation policies after the views lightly augmented by standard augmentations, to generate harder view (HV).

Representation Learning Self-Supervised Learning

ViDA-MAN: Visual Dialog with Digital Humans

no code implementations26 Oct 2021 Tong Shen, Jiawei Zuo, Fan Shi, Jin Zhang, Liqin Jiang, Meng Chen, Zhengchen Zhang, Wei zhang, Xiaodong He, Tao Mei

We demonstrate ViDA-MAN, a digital-human agent for multi-modal interaction, which offers realtime audio-visual responses to instant speech inquiries.

speech-recognition Speech Recognition +2

A Baseline Framework for Part-level Action Parsing and Action Recognition

no code implementations7 Oct 2021 Xiaodong Chen, Xinchen Liu, Kun Liu, Wu Liu, Tao Mei

This technical report introduces our 2nd place solution to Kinetics-TPS Track on Part-level Action Parsing in ICCV DeeperAction Workshop 2021.

Action Parsing Action Recognition +1

CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation

1 code implementation30 Sep 2021 Xiao Wang, Jingen Liu, Tao Mei, Jiebo Luo

Unlike the mainstream clustering-based methods, our framework exploits a transformer-based feature reconstruction scheme to detect event boundary by reconstruction errors.

Boundary Detection Event Segmentation +1

Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis

no code implementations5 Sep 2021 Tong Sha, Wei zhang, Tong Shen, Zhoujun Li, Tao Mei

Deep person generation has attracted extensive research attention due to its wide applications in virtual agents, video conferencing, online shopping and art/movie production.

Data Augmentation Talking Head Generation

Memory-Augmented Non-Local Attention for Video Super-Resolution

1 code implementation CVPR 2022 Jiyang Yu, Jingen Liu, Liefeng Bo, Tao Mei

Those methods achieve limited performance as they suffer from the challenge in spatial frame alignment and the lack of useful information from similar LR neighbor frames.

Analog Video Restoration Video Super-Resolution

X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics

2 code implementations18 Aug 2021 Yehao Li, Yingwei Pan, Jingwen Chen, Ting Yao, Tao Mei

Nevertheless, there has not been an open-source codebase in support of training and deploying numerous neural network models for cross-modal analytics in a unified and modular fashion.

Cross-Modal Retrieval Decoder +6

Semi-Supervised Domain Generalizable Person Re-Identification

3 code implementations11 Aug 2021 Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei

Instead, we aim to explore multiple labeled datasets to learn generalized domain-invariant representations for person re-id, which is expected universally effective for each new-coming re-id scenario.

Ranked #16 on Person Re-Identification on Market-1501 (using extra training data)

Generalizable Person Re-identification Knowledge Distillation +1

A Low Rank Promoting Prior for Unsupervised Contrastive Learning

no code implementations5 Aug 2021 Yu Wang, Jingyang Lin, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei

In this paper, we construct a novel probabilistic graphical model that effectively incorporates the low rank promoting prior into the framework of contrastive learning, referred to as LORAC.

Contrastive Learning Image Classification +5

Augmentation Pathways Network for Visual Recognition

1 code implementation26 Jul 2021 Yalong Bai, Mohan Zhou, Wei zhang, BoWen Zhou, Tao Mei

Experimental results on ImageNet demonstrate the compatibility and effectiveness on a much wider range of augmentations, while consuming fewer parameters and lower computational costs at inference time.

Data Augmentation

Contextual Transformer Networks for Visual Recognition

7 code implementations26 Jul 2021 Yehao Li, Ting Yao, Yingwei Pan, Tao Mei

Such design fully capitalizes on the contextual information among input keys to guide the learning of dynamic attention matrix and thus strengthens the capacity of visual representation.

Image Classification Instance Segmentation +3

FasterPose: A Faster Simple Baseline for Human Pose Estimation

no code implementations7 Jul 2021 Hanbin Dai, Hailin Shi, Wu Liu, Linfang Wang, Yinglu Liu, Tao Mei

By the experimental analysis, we find that the HR representation leads to a sharp increase of computational cost, while the accuracy improvement remains marginal compared with the low-resolution (LR) representation.

Pose Estimation

Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning

no code implementations10 May 2021 Hailin Shi, Dan Zeng, Yichun Tai, Hang Du, Yibo Hu, ZiCheng Zhang, Tao Mei

However, unlike the existing public face datasets, in many real-world scenarios of face recognition, the depth of training dataset is shallow, which means only two face images are available for each ID.

Face Recognition

Boosting Semi-Supervised Face Recognition with Noise Robustness

1 code implementation10 May 2021 Yuchi Liu, Hailin Shi, Hang Du, Rui Zhu, Jun Wang, Liang Zheng, Tao Mei

This paper presents an effective solution to semi-supervised face recognition that is robust to the label noise aroused by the auto-labelling.

Face Recognition

Action Unit Memory Network for Weakly Supervised Temporal Action Localization

no code implementations CVPR 2021 Wang Luo, Tianzhu Zhang, Wenfei Yang, Jingen Liu, Tao Mei, Feng Wu, Yongdong Zhang

In this paper, we present an Action Unit Memory Network (AUMN) for weakly supervised temporal action localization, which can mitigate the above two challenges by learning an action unit memory bank.

Weakly Supervised Action Localization Weakly-supervised Temporal Action Localization +1

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

no code implementations23 Apr 2021 Wu Liu, Qian Bao, Yu Sun, Tao Mei

We believe this survey will provide the readers with a deep and insightful understanding of monocular human pose estimation.

3D Human Pose Estimation

Towards NIR-VIS Masked Face Recognition

no code implementations14 Apr 2021 Hang Du, Hailin Shi, Yinglu Liu, Dan Zeng, Tao Mei

In this paper, we aim to address the challenge of NIR-VIS masked face recognition from the perspectives of training data and training method.

3D Face Reconstruction Face Recognition +1

Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition

1 code implementation CVPR 2021 Jiahui She, Yibo Hu, Hailin Shi, Jun Wang, Qiu Shen, Tao Mei

Due to the subjective annotation and the inherent interclass similarity of facial expressions, one of key challenges in Facial Expression Recognition (FER) is the annotation ambiguity.

Facial Expression Recognition Facial Expression Recognition (FER)

Exploiting Relationship for Complex-scene Image Generation

no code implementations1 Apr 2021 Tianyu Hua, Hongdong Zheng, Yalong Bai, Wei zhang, Xiao-Ping Zhang, Tao Mei

Our method tends to synthesize plausible layouts and objects, respecting the interplay of multiple objects in an image.

Image Generation Scene Generation

Group-aware Label Transfer for Domain Adaptive Person Re-identification

1 code implementation CVPR 2021 Kecheng Zheng, Wu Liu, Lingxiao He, Tao Mei, Jiebo Luo, Zheng-Jun Zha

In this paper, we propose a Group-aware Label Transfer (GLT) algorithm, which enables the online interaction and mutual promotion of pseudo-label prediction and representation learning.

Attribute Clustering +5

TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition

1 code implementation9 Feb 2021 Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, XiaoPing Zhang, Tao Mei

Despite significant improvement in gait recognition with deep learning, existing studies still neglect a more practical but challenging scenario -- unsupervised cross-domain gait recognition which aims to learn a model on a labeled dataset then adapts it to an unlabeled dataset.

Gait Recognition

Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network

1 code implementation27 Jan 2021 Yehao Li, Yingwei Pan, Ting Yao, Jingwen Chen, Tao Mei

Despite having impressive vision-language (VL) pretraining with BERT-based encoder for VL understanding, the pretraining of a universal encoder-decoder for both VL understanding and generation remains challenging.

Decoder

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification

1 code implementation ICCV 2021 Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He

Visible-Infrared person re-identification (VI-ReID) aims to match cross-modality pedestrian images, breaking through the limitation of single-modality person ReID in dark environment.

Neural Architecture Search Person Re-Identification

FaceX-Zoo: A PyTorch Toolbox for Face Recognition

2 code implementations12 Jan 2021 Jun Wang, Yinglu Liu, Yibo Hu, Hailin Shi, Tao Mei

For example, the production of face representation network desires a modular training scheme to consider the proper choice from various candidates of state-of-the-art backbone and training supervision subject to the real-world face recognition demand; for performance analysis and comparison, the standard and automatic evaluation with a bunch of models on multiple benchmarks will be a desired tool as well; besides, a public groundwork is welcomed for deploying the face recognition in the shape of holistic pipeline.

Face Recognition

Synthetic Training for Monocular Human Mesh Recovery

no code implementations27 Oct 2020 Yu Sun, Qian Bao, Wu Liu, Wenpeng Gao, Yili Fu, Chuang Gan, Tao Mei

To solve this problem, we design a multi-branch framework to disentangle the regression of different body properties, enabling us to separate each component's training in a synthetic training manner using unpaired data available.

Computational Efficiency Human Mesh Recovery

Hierarchical Gumbel Attention Network for Text-based Person Search

no code implementations10 Oct 2020 Kecheng Zheng, Wu Liu, Jiawei Liu, Zheng-Jun Zha, Tao Mei

This hard selection strategy is able to fuse the strong-relevant multi-modality features for alleviating the problem of matching redundancy.

Image Retrieval Image-to-Text Retrieval +6

Joint Contrastive Learning with Infinite Possibilities

1 code implementation NeurIPS 2020 Qi Cai, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei

This paper explores useful modifications of the recent development in contrastive learning via novel probabilistic modeling.

Contrastive Learning

Learning to Localize Actions from Moments

1 code implementation ECCV 2020 Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei

In this paper, we introduce a new design of transfer learning type to learn action localization for a large set of action categories, but only on action moments from the categories of interest and temporal annotations of untrimmed videos from a small set of action classes.

Action Localization Transfer Learning

Monocular, One-stage, Regression of Multiple 3D People

2 code implementations ICCV 2021 Yu Sun, Qian Bao, Wu Liu, Yili Fu, Michael J. Black, Tao Mei

Through a body-center-guided sampling process, the body mesh parameters of all people in the image are easily extracted from the Mesh Parameter map.

 Ranked #1 on 3D Multi-Person Mesh Recovery on Relative Human (using extra training data)

3D Depth Estimation 3D Multi-Person Mesh Recovery +2

Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification

no code implementations19 Aug 2020 Boqiang Xu, Lingxiao He, Xingyu Liao, Wu Liu, Zhenan Sun, Tao Mei

Given the input person image, the ensemble method would focus on the head-shoulder feature by assigning a larger weight if the individual insides the image is in black clothing.

Person Re-Identification

SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning

3 code implementations3 Aug 2020 Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei

In this paper, we compose a trilogy of exploring the basic and generic supervision in the sequence from spatial, spatiotemporal and sequential perspectives.

Action Recognition Contrastive Learning +3

Pre-training for Video Captioning Challenge 2020 Summary

no code implementations27 Jul 2020 Yingwei Pan, Jun Xu, Yehao Li, Ting Yao, Tao Mei

The Pre-training for Video Captioning Challenge 2020 Summary: results and challenge participants' technical reports.

Video Captioning

Edge-aware Graph Representation Learning and Reasoning for Face Parsing

1 code implementation ECCV 2020 Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei

Specifically, we encode a facial image onto a global graph representation where a collection of pixels ("regions") with similar features are projected to each vertex.

Face Parsing Graph Representation Learning

NPCFace: Negative-Positive Collaborative Training for Large-scale Face Recognition

no code implementations20 Jul 2020 Dan Zeng, Hailin Shi, Hang Du, Jun Wang, Zhen Lei, Tao Mei

However, the correlation between hard positive and hard negative is overlooked, and so is the relation between the margins in positive and negative logits.

Face Recognition

Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

1 code implementation ECCV 2020 Haoran Wang, Tong Shen, Wei zhang, Ling-Yu Duan, Tao Mei

To fully exploit the supervision in the source domain, we propose a fine-grained adversarial learning strategy for class-level feature alignment while preserving the internal structure of semantics across domains.

Domain Adaptation Semantic Segmentation +1

Semi-Siamese Training for Shallow Face Learning

4 code implementations ECCV 2020 Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei

Extensive experiments on various benchmarks of face recognition show the proposed method significantly improves the training, not only in shallow face learning, but also for conventional deep face data.

Face Recognition

Loss Function Search for Face Recognition

1 code implementation ICML 2020 Xiaobo Wang, Shuo Wang, Cheng Chi, Shifeng Zhang, Tao Mei

In face recognition, designing margin-based (e. g., angular, additive, additive angular margins) softmax loss functions plays an important role in learning discriminative features.

AutoML Face Recognition

Single Shot Video Object Detector

1 code implementation7 Jul 2020 Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, Tao Mei

Single shot detectors that are potentially faster and simpler than two-stage detectors tend to be more applicable to object detection in videos.

Object object-detection +2

Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training

no code implementations5 Jul 2020 Yingwei Pan, Yehao Li, Jianjie Luo, Jun Xu, Ting Yao, Tao Mei

In this work, we present Auto-captions on GIF, which is a new large-scale pre-training dataset for generic video understanding.

Decoder Question Answering +4

Learning a Unified Sample Weighting Network for Object Detection

1 code implementation CVPR 2020 Qi Cai, Yingwei Pan, Yu Wang, Jingen Liu, Ting Yao, Tao Mei

To this end, we devise a general loss function to cover most region-based object detectors with various sampling strategies, and then based on it we propose a unified sample weighting network to predict a sample's task weights.

General Classification Object +3

Transferring and Regularizing Prediction for Semantic Segmentation

no code implementations CVPR 2020 Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei

In the view of extremely expensive expert labeling, recent research has shown that the models trained on photo-realistic synthetic data (e. g., computer games) with computer-generated annotations can be adapted to real images.

Domain Adaptation Segmentation +1

Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation

no code implementations CVPR 2020 Yingwei Pan, Ting Yao, Yehao Li, Chong-Wah Ngo, Tao Mei

A clustering branch is capitalized on to ensure that the learnt representation preserves such underlying structure by matching the estimated assignment distribution over clusters to the inherent cluster distribution for each target sample.

Clustering Unsupervised Domain Adaptation

Learning the Compositional Visual Coherence for Complementary Recommendations

no code implementations8 Jun 2020 Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei

Towards this end, in this paper, we propose a novel Content Attentive Neural Network (CANN) to model the comprehensive compositional coherence on both global contents and semantic contents.

FastReID: A Pytorch Toolbox for General Instance Re-identification

4 code implementations4 Jun 2020 Lingxiao He, Xingyu Liao, Wu Liu, Xinchen Liu, Peng Cheng, Tao Mei

General Instance Re-identification is a very important task in the computer vision, which can be widely used in many practical applications, such as person/vehicle re-identification, face recognition, wildlife protection, commodity tracing, and snapshop, etc.. To meet the increasing application demand for general instance re-identification, we present FastReID as a widely used software system in JD AI Research.

Face Recognition Image Retrieval +2

Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks

no code implementations13 May 2020 Ning Zhang, Jingen Liu, Ke Wang, Dan Zeng, Tao Mei

Inspired by the human "visual tracking" capability which leverages motion cues to distinguish the target from the background, we propose a Two-Stream Residual Convolutional Network (TS-RCN) for visual tracking, which successfully exploits both appearance and motion features for model update.

Visual Object Tracking Visual Tracking +1

VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification

3 code implementations14 Apr 2020 Zhedong Zheng, Tao Ruan, Yunchao Wei, Yi Yang, Tao Mei

This stage relaxes the full alignment between the training and testing domains, as it is agnostic to the target vehicle domain.

Representation Learning Vehicle Re-Identification

A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing

no code implementations Proceedings of the AAAI Conference on Artificial Intelligence 2020 Yinglu Liu, Hailin Shi, Hao Shen, Yue Si, Xiaobo Wang, Tao Mei

The dataset is publicly accessible to the community for boosting the advance of face parsing. 1 Second, a simple yet effective Boundary-Attention Semantic Segmentation (BASS) method is proposed for face parsing, which contains a three-branch network with elaborately developed loss functions to fully exploit the boundary information.

Face Parsing Image Generation +1

X-Linear Attention Networks for Image Captioning

2 code implementations CVPR 2020 Yingwei Pan, Ting Yao, Yehao Li, Tao Mei

Recent progress on fine-grained visual recognition and visual question answering has featured Bilinear Pooling, which effectively models the 2$^{nd}$ order interactions across multi-modal inputs.

Decoder Fine-Grained Visual Recognition +4

Look-into-Object: Self-supervised Structure Modeling for Object Recognition

2 code implementations CVPR 2020 Mohan Zhou, Yalong Bai, Wei zhang, Tiejun Zhao, Tao Mei

Specifically, we first propose an object-extent learning module for localizing the object according to the visual patterns shared among the instances in the same category.

Fine-Grained Image Classification Image Recognition +7

Long Short-Term Relation Networks for Video Action Detection

no code implementations31 Mar 2020 Dong Li, Ting Yao, Zhaofan Qiu, Houqiang Li, Tao Mei

It has been well recognized that modeling human-object or object-object relations would be helpful for detection task.

Action Detection Object +2

Adaptive Semantic-Visual Tree for Hierarchical Embeddings

no code implementations8 Mar 2020 Shuo Yang, Wei Yu, Ying Zheng, Hongxun Yao, Tao Mei

To solve this new problem, we propose a hierarchical adaptive semantic-visual tree (ASVT) to depict the architecture of merchandise categories, which evaluates semantic similarities between different semantic levels and visual similarities within the same semantic class simultaneously.

Image Retrieval Retrieval

Vision and Language: from Visual Perception to Content Creation

no code implementations26 Dec 2019 Tao Mei, Wei zhang, Ting Yao

The real-world deployment or services of vision and language are elaborated as well.

Decoder Question Answering +4

Down to the Last Detail: Virtual Try-on with Detail Carving

1 code implementation13 Dec 2019 Jiahang Wang, Wei zhang, Weizhong Liu, Tao Mei

However, existing methods can hardly preserve the details in clothing texture and facial identity (face, hair) while fitting novel clothes and poses onto a person.

Virtual Try-on

Theme-Matters: Fashion Compatibility Learning via Theme Attention

no code implementations12 Dec 2019 Jui-Hsin Lai, Bo Wu, Xin Wang, Dan Zeng, Tao Mei, Jingen Liu

This model associates themes with the pairwise compatibility with attention, and thus compute the outfit-wise compatibility.

Fashion Compatibility Learning

Zooming into Face Forensics: A Pixel-level Analysis

no code implementations12 Dec 2019 Jia Li, Tong Shen, Wei zhang, Hui Ren, Dan Zeng, Tao Mei

The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society.

Classification General Classification +1

Mis-classified Vector Guided Softmax Loss for Face Recognition

no code implementations26 Nov 2019 Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, Tao Mei

Face recognition has witnessed significant progress due to the advances of deep convolutional neural networks (CNNs), the central task of which is how to improve the feature discrimination.

Face Recognition

Scheduled Differentiable Architecture Search for Visual Recognition

no code implementations23 Sep 2019 Zhaofan Qiu, Ting Yao, Yiheng Zhang, Yongdong Zhang, Tao Mei

Moreover, we enlarge the search space of SDAS particularly for video recognition by devising several unique operations to encode spatio-temporal dynamics and demonstrate the impact in affecting the architecture search of SDAS.

Video Recognition

Deep Metric Learning with Density Adaptivity

no code implementations9 Sep 2019 Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei

The problem of distance metric learning is mostly considered from the perspective of learning an embedding space, where the distances between pairs of examples are in correspondence with a similarity metric.

Metric Learning

Hierarchy Parsing for Image Captioning

no code implementations ICCV 2019 Ting Yao, Yingwei Pan, Yehao Li, Tao Mei

It is always well believed that parsing an image into constituent visual patterns would be helpful for understanding and representing an image.

Image Captioning

Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation

no code implementations2 Sep 2019 Hongdong Zheng, Yalong Bai, Wei zhang, Tao Mei

In our framework, a spatial constraint module is designed to fit reasonable scaling and spatial layout of object pairs with considering relationship between them.

Image Generation Object

Mocycle-GAN: Unpaired Video-to-Video Translation

no code implementations26 Aug 2019 Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei

Unsupervised image-to-image translation is the task of translating an image from one domain to another in the absence of any paired training examples and tends to be more applicable to practical applications.

Motion Estimation Translation +1

Relation Distillation Networks for Video Object Detection

2 code implementations ICCV 2019 Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, Tao Mei

In this paper, we introduce a new design to capture the interactions across the objects in spatio-temporal context.

Object object-detection +3

daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices

1 code implementation16 Aug 2019 Jianhao Zhang, Yingwei Pan, Ting Yao, He Zhao, Tao Mei

It is always well believed that Binary Neural Networks (BNNs) could drastically accelerate the inference efficiency by replacing the arithmetic operations in float-valued Deep Neural Networks (DNNs) with bit-wise operations.

Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation

no code implementations1 Aug 2019 Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei

A valid question is how to encapsulate such gists/topics that are worthy of mention from an image, and then describe the image from one topic to another but holistically with a coherent structure.

Descriptive Image Paragraph Captioning +2

Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation

1 code implementation29 Jul 2019 Tong Shen, Dong Gong, Wei zhang, Chunhua Shen, Tao Mei

To tackle the unsupervised domain adaptation problem, we explore the possibilities to generate high-quality labels as proxy labels to supervise the training on target data.

Semantic Segmentation Unsupervised Domain Adaptation

Hard-Aware Fashion Attribute Classification

no code implementations25 Jul 2019 Yun Ye, Yixin Li, Bo Wu, Wei zhang, Ling-Yu Duan, Tao Mei

For "hard" attributes with insufficient training data, Deact brings more stable synthetic samples for training and further improve the performance.

Attribute Classification +1

Learning Spatio-Temporal Representation with Local and Global Diffusion

no code implementations CVPR 2019 Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei

Diffusions effectively interact two aspects of information, i. e., localized and holistic, for more powerful way of representation learning.

Action Classification Action Detection +5

Group Re-Identification with Multi-grained Matching and Integration

no code implementations17 May 2019 Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei

The task of re-identifying groups of people underdifferent camera views is an important yet less-studied problem. Group re-identification (Re-ID) is a very challenging task sinceit is not only adversely affected by common issues in traditionalsingle object Re-ID problems such as viewpoint and human posevariations, but it also suffers from changes in group layout andgroup membership.

A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark

no code implementations13 May 2019 Yinglu Liu, Hailin Shi, Yue Si, Hao Shen, Xiaobo Wang, Tao Mei

Each image is provided with accurate annotation of a 11-category pixel-level label map along with coordinates of 106-point landmarks.

Face Alignment Face Detection +3

Predictive Ensemble Learning with Application to Scene Text Detection

no code implementations12 May 2019 Danlu Chen, Xu-Yao Zhang, Wei zhang, Yao Lu, Xiuli Li, Tao Mei

Taking scene text detection as the application, where no suitable ensemble learning strategy exists, PEL can significantly improve the performance, compared to either individual state-of-the-art models, or the fusion of multiple models by non-maximum suppression.

Classification Ensemble Learning +5

Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

1 code implementation3 May 2019 Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei

Moreover, the inherently recurrent dependency in RNN prevents parallelization within a sequence during training and therefore limits the computations.

Decoder Sentence +1

Pointing Novel Objects in Image Captioning

no code implementations CVPR 2019 Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei

Image captioning has received significant attention with remarkable improvements in recent advances.

Decoder Image Captioning +3

Transferrable Prototypical Networks for Unsupervised Domain Adaptation

no code implementations CVPR 2019 Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei

Specifically, we present Transferrable Prototypical Networks (TPN) for adaptation such that the prototypes for each class in source and target domains are close in the embedding space and the score distributions predicted by prototypes separately on source and target data are similar.

Pseudo Label Unsupervised Domain Adaptation

Unsupervised Person Image Generation with Semantic Parsing Transformation

1 code implementation CVPR 2019 Sijie Song, Wei zhang, Jiaying Liu, Tao Mei

Firstly, a semantic generative network is proposed to transform between semantic parsing maps, in order to simplify the non-rigid deformation learning.

Image Generation Image Manipulation +1

VrR-VG: Refocusing Visually-Relevant Relationships

no code implementations ICCV 2019 Yuanzhi Liang, Yalong Bai, Wei zhang, Xueming Qian, Li Zhu, Tao Mei

Relationships encode the interactions among individual instances, and play a critical role in deep visual scene understanding.

Image Captioning Question Answering +3

Improved Selective Refinement Network for Face Detection

no code implementations20 Jan 2019 Shifeng Zhang, Rui Zhu, Xiaobo Wang, Hailin Shi, Tianyu Fu, Shuo Wang, Tao Mei, Stan Z. Li

With the availability of face detection benchmark WIDER FACE dataset, much of the progresses have been made by various algorithms in recent years.

Data Augmentation Face Detection +1

Support Vector Guided Softmax Loss for Face Recognition

4 code implementations29 Dec 2018 Xiaobo Wang, Shuo Wang, Shifeng Zhang, Tianyu Fu, Hailin Shi, Tao Mei

Face recognition has witnessed significant progresses due to the advances of deep convolutional neural networks (CNNs), the central challenge of which, is feature discrimination.

Face Recognition

ScratchDet: Training Single-Shot Object Detectors from Scratch

1 code implementation CVPR 2019 Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei

Taking this advantage, we are able to explore various types of networks for object detection, without suffering from the poor convergence.

General Classification Object +2

KTAN: Knowledge Transfer Adversarial Network

no code implementations18 Oct 2018 Peiye Liu, Wu Liu, Huadong Ma, Tao Mei, Mingoo Seok

To transfer the knowledge of intermediate representations, we set high-level teacher feature maps as a target, toward which the student feature maps are trained.

Image Classification Knowledge Distillation +3

Exploring Visual Relationship for Image Captioning

no code implementations ECCV 2018 Ting Yao, Yingwei Pan, Yehao Li, Tao Mei

Technically, we build graphs over the detected objects in an image based on their spatial and semantic connections.

Decoder Image Captioning +1

Recurrent Tubelet Proposal and Recognition Networks for Action Detection

no code implementations ECCV 2018 Dong Li, Zhaofan Qiu, Qi Dai, Ting Yao, Tao Mei

The RTP initializes action proposals of the start frame through a Region Proposal Network and then estimates the movements of proposals in next frame in a recurrent manner.

Action Detection Region Proposal

Deep Attention Neural Tensor Network for Visual Question Answering

no code implementations ECCV 2018 Yalong Bai, Jianlong Fu, Tiejun Zhao, Tao Mei

First, we model one of the pairwise interaction (e. g., image and question) by bilinear features, which is further encoded with the third dimension (e. g., answer) to be a triplet by bilinear tensor product.

Deep Attention Question Answering +1

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors

no code implementations3 Aug 2018 Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen

In this paper, we propose a novel Behavior-Intensive Neural Network (BINN) for next-item recommendation by incorporating both users' historical stable preferences and present consumption motivations.

Session-Based Recommendations

DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks

no code implementations CVPR 2018 Shuang Ma, Jianlong Fu, Chang Wen Chen, Tao Mei

Specifically, we jointly learn a deep attention encoder, and the instance-level correspondences could be consequently discovered through attending on the learned instances.

Data Augmentation Deep Attention +2

Subspace Clustering by Block Diagonal Representation

no code implementations23 May 2018 Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan

Second, we observe that many existing methods approximate the block diagonal representation matrix by using different structure priors, e. g., sparsity and low-rankness, which are indirect.

Clustering

Fully Convolutional Adaptation Networks for Semantic Segmentation

no code implementations CVPR 2018 Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei

The recent advances in deep neural networks have convincingly demonstrated high capability in learning vision models on large datasets.

Domain Adaptation