b'Junliang Xing'

research

∙ 08/16/2023

High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark

The extraction of lakes from remote sensing images is a complex challeng...

0 Ben Chen, et al. ∙

research

∙ 08/11/2023

Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space

Creating realistic 3D facial animation is crucial for various applicatio...

0 Haoyu Wang, et al. ∙

research

∙ 08/11/2023

Semantics2Hands: Transferring Hand Motion Semantics between Avatars

Human hands, the primary means of non-verbal communication, convey intri...

0 Zijie Ye, et al. ∙

research

∙ 08/10/2023

Speech-Driven 3D Face Animation with Composite and Regional Facial Movements

Speech-driven 3D face animation poses significant challenges due to the ...

0 Haozhe Wu, et al. ∙

research

∙ 08/08/2023

DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images

Optical satellite images are a critical data source; however, cloud cove...

0 Xuechao Zou, et al. ∙

research

∙ 08/04/2023

SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation

Recent score-based diffusion models (SBDMs) show promising results in un...

0 Shikun Sun, et al. ∙

research

∙ 06/10/2023

Shuffled Autoregression For Motion Interpolation

This work aims to provide a deep-learning solution for the motion interp...

0 Shuo Huang, et al. ∙

research

∙ 04/22/2023

Single-stage Multi-human Parsing via Point Sets and Center-based Offsets

This work studies the multi-human parsing problem. Existing methods, eit...

0 Jiaming Chu, et al. ∙

research

∙ 03/29/2023

PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery

Satellite imagery analysis plays a vital role in remote sensing, but the...

0 Xuechao Zou, et al. ∙

research

∙ 03/17/2023

MMFace4D: A Large-Scale Multi-Modal 4D Face Dataset for Audio-Driven 3D Face Animation

Audio-Driven Face Animation is an eagerly anticipated technique for appl...

0 Haozhe Wu, et al. ∙

research

∙ 10/14/2022

MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition

Multimodal sensors (e.g., visual, non-visual, and wearable) provide comp...

0 Ziqi Gao, et al. ∙

research

∙ 11/07/2021

Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

Skeleton data is of low dimension. However, there is a trend of using ve...

0 Pengfei Zhang, et al. ∙

research

∙ 09/08/2021

RefineCap: Concept-Aware Refinement for Image Captioning

Automatically translating images to texts involves image scene understan...

0 Yekun Chai, et al. ∙

research

∙ 02/18/2021

L2E: Learning to Exploit Your Opponent

Opponent modeling is essential to exploit sub-optimal opponents in strat...

0 Zhe Wu, et al. ∙

research

∙ 01/21/2021

Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking

Unmanned Aerial Vehicle (UAV) offers lots of applications in both commer...

8 Nan Jiang, et al. ∙

research

∙ 12/11/2020

OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research

Owning to the unremitting efforts by a few institutes, significant progr...

0 Kai Li, et al. ∙

research

∙ 11/12/2020

DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio

Vehicle Re-identification (ReID) is an important yet challenging problem...

0 Jiangtao Kong, et al. ∙

research

∙ 12/11/2019

RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation

Object detection and instance segmentation are two fundamental computer ...

21 Shaoru Wang, et al. ∙

research

∙ 09/24/2019

Relational Learning for Joint Head and Human Detection

Head and human detection have been rapidly improved with the development...

5 Cheng Chi, et al. ∙

research

∙ 09/15/2019

PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes

Pedestrian detection in crowded scenes is a challenging problem, because...

10 Cheng Chi, et al. ∙

research

∙ 05/26/2019

Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation

Recent deep learning based face recognition methods have achieved great ...

0 Hanyang Kong, et al. ∙

research

∙ 05/25/2019

Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification

Person re-identification (Re-ID) across multiple datasets is a challengi...

0 Yangru Huang, et al. ∙

research

∙ 02/13/2019

Multi-Prototype Networks for Unconstrained Set-based Face Recognition

In this paper, we study the challenging unconstrained set-based face rec...

0 Jian Zhao, et al. ∙

research

∙ 12/31/2018

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

Siamese network based trackers formulate tracking as convolutional featu...

4 Bo Li, et al. ∙

research

∙ 12/05/2018

Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration

Many reality tasks such as robot coordination can be naturally modelled ...

0 Peixi Peng, et al. ∙

research

∙ 11/19/2018

Representation based and Attention augmented Meta learning

Deep learning based computer vision fails to work when labeled images ar...

0 Yunxiao Qin, et al. ∙

research

∙ 09/11/2018

Temporal-Spatial Mapping for Action Recognition

Deep learning models have enjoyed great success for image related comput...

0 Xiaolin Song, et al. ∙

research

∙ 09/07/2018

Selective Refinement Network for High Performance Face Detection

High performance face detection remains a very challenging problem, espe...

0 Cheng Chi, et al. ∙

research

∙ 09/02/2018

Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

Despite the remarkable progress in face recognition related technologies...

0 Jian Zhao, et al. ∙

research

∙ 04/20/2018

View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

Skeleton-based human action recognition has recently attracted increasin...

0 Pengfei Zhang, et al. ∙

research

∙ 09/25/2017

Pose-driven Deep Convolutional Model for Person Re-identification

Feature extraction and matching are two crucial components in person Re-...

0 Chi Su, et al. ∙

research

∙ 09/21/2017

Human Pose Estimation using Global and Local Normalization

In this paper, we address the problem of estimating the positions of hum...

0 Ke Sun, et al. ∙

research

∙ 05/21/2017

Generative Partition Networks for Multi-Person Pose Estimation

This paper proposes a new Generative Partition Network (GPN) to address ...

0 Xuecheng Nie, et al. ∙

research

∙ 03/24/2017

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

Skeleton-based human action recognition has recently attracted increasin...

0 Pengfei Zhang, et al. ∙

research

∙ 11/18/2016

An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data

Human action recognition is an important task in computer vision. Extrac...

0 Sijie Song, et al. ∙

research

∙ 04/19/2016

Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks

Human action recognition from well-segmented 3D skeleton data has been i...

0 Yanghao Li, et al. ∙

research

∙ 03/24/2016

Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks

Skeleton based action recognition distinguishes human actions using the ...

0 Wentao Zhu, et al. ∙

research

∙ 09/26/2014

Multiple Object Tracking: A Literature Review

Multiple Object Tracking (MOT) is an important computer vision problem w...

0 Wenhan Luo, et al. ∙

Junliang Xing

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