b'Tao Mei'

research

∙ 06/27/2022

Video2StyleGAN: Encoding Video in Latent Space for Manipulation

Many recent works have been proposed for face image editing by leveragin...

Jiyang Yu, et al. ∙

research

∙ 06/21/2022

Bi-Calibration Networks for Weakly-Supervised Video Representation Learning

The leverage of large volumes of web videos paired with the searched que...

Fuchen Long, et al. ∙

research

∙ 06/14/2022

Stand-Alone Inter-Frame Attention in Video Models

Motion, as the uniqueness of a video, has been critical to the developme...

Fuchen Long, et al. ∙

research

∙ 06/14/2022

Comprehending and Ordering Semantics for Image Captioning

Comprehending the rich semantics in an image and ordering them in lingui...

Yehao Li, et al. ∙

research

∙ 06/13/2022

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

Convolutional Neural Networks (CNNs) have been regarded as the go-to mod...

Zhaofan Qiu, et al. ∙

research

∙ 06/13/2022

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

Recent high-performing Human-Object Interaction (HOI) detection techniqu...

Yong Zhang, et al. ∙

research

∙ 06/13/2022

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

This paper presents an overview and comparative analysis of our systems ...

Yingwei Pan, et al. ∙

research

∙ 06/02/2022

Structured Two-stream Attention Network for Video Question Answering

To date, visual question answering (VQA) (i.e., image QA and video QA) i...

Lianli Gao, et al. ∙

research

∙ 04/06/2022

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

Existing studies for gait recognition are dominated by 2D representation...

Jinkai Zheng, et al. ∙

research

∙ 04/02/2022

A-ACT: Action Anticipation through Cycle Transformations

While action anticipation has garnered a lot of research interest recent...

Akash Gupta, et al. ∙

research

∙ 03/11/2022

Visualizing and Understanding Patch Interactions in Vision Transformer

Vision Transformer (ViT) has become a leading tool in various computer v...

Jie Ma, et al. ∙

research

∙ 03/09/2022

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

Action recognition from videos, i.e., classifying a video into one of th...

Xiaodong Chen, et al. ∙

research

∙ 03/04/2022

Freeform Body Motion Generation from Speech

People naturally conduct spontaneous body motions to enhance their speec...

Jing Xu, et al. ∙

research

∙ 01/18/2022

Cross-modal Contrastive Distillation for Instructional Activity Anticipation

In this study, we aim to predict the plausible future action steps given...

Zhengyuan Yang, et al. ∙

research

∙ 01/11/2022

Motion-Focused Contrastive Learning of Video Representations

Motion, as the most distinct phenomenon in a video to involve the change...

Rui Li, et al. ∙

research

∙ 01/11/2022

Representing Videos as Discriminative Sub-graphs for Action Recognition

Human actions are typically of combinatorial structures or patterns, i.e...

Dong Li, et al. ∙

research

∙ 01/11/2022

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

Vision-language pre-training has been an emerging and fast-developing re...

Yehao Li, et al. ∙

research

∙ 01/11/2022

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

Live video broadcasting normally requires a multitude of skills and expe...

Yingwei Pan, et al. ∙

research

∙ 01/11/2022

Boosting Video Representation Learning with Multi-Faceted Integration

Video content is multifaceted, consisting of objects, scenes, interactio...

Zhaofan Qiu, et al. ∙

research

∙ 01/11/2022

Condensing a Sequence to One Informative Frame for Video Recognition

Video is complex due to large variations in motion and rich content in f...

Zhaofan Qiu, et al. ∙

research

∙ 01/11/2022

Optimization Planning for 3D ConvNets

It is not trivial to optimally learn a 3D Convolutional Neural Networks ...

Zhaofan Qiu, et al. ∙

research

∙ 12/27/2021

Responsive Listening Head Generation: A Benchmark Dataset and Baseline

Responsive listening during face-to-face conversations is a critical ele...

Mohan Zhou, et al. ∙

research

∙ 12/15/2021

Putting People in their Place: Monocular Regression of 3D People in Depth

Given an image with multiple people, our goal is to directly regress the...

Yu Sun, et al. ∙

research

∙ 12/15/2021

Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration

Our work reveals a structured shortcoming of the existing mainstream sel...

Yu Wang, et al. ∙

research

∙ 12/14/2021

A Style and Semantic Memory Mechanism for Domain Generalization

Mainstream state-of-the-art domain generalization algorithms tend to pri...

Yang Chen, et al. ∙

research

∙ 12/14/2021

Transferrable Contrastive Learning for Visual Domain Adaptation

Self-supervised learning (SSL) has recently become the favorite among fe...

Yang Chen, et al. ∙

research

∙ 12/14/2021

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

BERT-type structure has led to the revolution of vision-language pre-tra...

Jianjie Luo, et al. ∙

research

∙ 12/01/2021

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

Face anti-spoofing (FAS) plays a vital role in preventing face recogniti...

Hangtong Wu, et al. ∙

research

∙ 10/26/2021

Directional Self-supervised Learning for Risky Image Augmentations

Only a few cherry-picked robust augmentation policies are beneficial to ...

Yalong Bai, et al. ∙

research

∙ 10/26/2021

ViDA-MAN: Visual Dialog with Digital Humans

We demonstrate ViDA-MAN, a digital-human agent for multi-modal interacti...

Tong Shen, et al. ∙

research

∙ 10/07/2021

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

This technical report introduces our 2nd place solution to Kinetics-TPS ...

Xiaodong Chen, et al. ∙

research

∙ 09/30/2021

CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation

Some cognitive research has discovered that humans accomplish event segm...

Xiao Wang, et al. ∙

research

∙ 09/05/2021

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

Deep person generation has attracted extensive research attention due to...

Tong Sha, et al. ∙

research

∙ 08/25/2021

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

In this paper, we propose a novel video super-resolution method that aim...

Jiyang Yu, et al. ∙

research

∙ 08/18/2021

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

With the rise and development of deep learning over the past decade, the...

Yehao Li, et al. ∙

research

∙ 08/11/2021

Semi-Supervised Domain Generalizable Person Re-Identification

Existing person re-identification (re-id) methods are stuck when deploye...

Lingxiao He, et al. ∙

research

∙ 08/05/2021

A Low Rank Promoting Prior for Unsupervised Contrastive Learning

Unsupervised learning is just at a tipping point where it could really t...

Yu Wang, et al. ∙

research

∙ 07/26/2021

Contextual Transformer Networks for Visual Recognition

Transformer with self-attention has led to the revolutionizing of natura...

Yehao Li, et al. ∙

research

∙ 07/26/2021

Augmentation Pathways Network for Visual Recognition

Data augmentation is practically helpful for visual recognition, especia...

Yalong Bai, et al. ∙

research

∙ 07/07/2021

FasterPose: A Faster Simple Baseline for Human Pose Estimation

The performance of human pose estimation depends on the spatial accuracy...

Hanbin Dai, et al. ∙

research

∙ 05/10/2021

Boosting Semi-Supervised Face Recognition with Noise Robustness

Although deep face recognition benefits significantly from large-scale t...

Yuchi Liu, et al. ∙

research

∙ 05/10/2021

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

With the recent development of deep convolutional neural networks and la...

Hailin Shi, et al. ∙

research

∙ 04/23/2021

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

Estimation of the human pose from a monocular camera has been an emergin...

Wu Liu, et al. ∙

research

∙ 04/14/2021

Towards NIR-VIS Masked Face Recognition

Near-infrared to visible (NIR-VIS) face recognition is the most common c...

Hang Du, et al. ∙

research

∙ 04/01/2021

Exploiting Relationship for Complex-scene Image Generation

The significant progress on Generative Adversarial Networks (GANs) has f...

Tianyu Hua, et al. ∙

research

∙ 04/01/2021

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

Due to the subjective annotation and the inherent interclass similarity ...

Jiahui She, et al. ∙

research

∙ 03/23/2021

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

Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims ...

Kecheng Zheng, et al. ∙

research

∙ 03/02/2021

AttriMeter: An Attribute-guided Metric Interpreter for Person Re-Identification

Person Re-identification (ReID) has achieved significant improvement due...

Xiaodong Chen, et al. ∙

research

∙ 02/09/2021

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

Gait, i.e., the movement pattern of human limbs during locomotion, is a ...

Jinkai Zheng, et al. ∙

research

∙ 01/27/2021

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

Despite having impressive vision-language (VL) pretraining with BERT-bas...

Yehao Li, et al. ∙

Tao Mei

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