Chang Wen Chen

research

∙ 07/12/2023

GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human

3D human pose estimation has been researched for decades with promising ...

0 Bruce X. B. Yu, et al. ∙

research

∙ 05/13/2023

Streaming 360-degree VR Video with Statistical QoS Provisioning in mmWave Networks from Delay and Rate Perspectives

Millimeter-wave(mmWave) technology has emerged as a promising enabler fo...

0 Yuang Chen, et al. ∙

research

∙ 05/10/2023

Visual Tuning

Fine-tuning visual models has been widely shown promising performance on...

0 Bruce X. B. Yu, et al. ∙

research

∙ 03/22/2023

End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling

Predicting the next location is a highly valuable and common need in man...

0 Yan Luo, et al. ∙

research

∙ 03/13/2023

Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images

Multi-instance learning (MIL) is an effective paradigm for whole-slide p...

0 Tiancheng Lin, et al. ∙

research

∙ 10/28/2022

OhMG: Zero-shot Open-vocabulary Human Motion Generation

Generating motion in line with text has attracted increasing attention n...

0 Junfan Lin, et al. ∙

research

∙ 10/03/2022

Towards a Unified View on Visual Parameter-Efficient Transfer Learning

Since the release of various large-scale natural language processing (NL...

0 Bruce X. B. Yu, et al. ∙

research

∙ 08/22/2022

Prompt-Matched Semantic Segmentation

The objective of this work is to explore how to effectively and efficien...

0 Lingbo Liu, et al. ∙

research

∙ 07/11/2022

Learned Video Compression via Heterogeneous Deformable Compensation Network

Learned video compression has recently emerged as an essential research ...

0 Huairui Wang, 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...

0 Yong Zhang, et al. ∙

research

∙ 03/23/2022

UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection

Finding relevant moments and highlights in videos according to natural l...

0 Ye Liu, et al. ∙

research

∙ 03/12/2022

Taking an Emotional Look at Video Paragraph Captioning

Translating visual data into natural language is essential for machines ...

0 Qinyu Li, et al. ∙

research

∙ 03/10/2022

Knowledge-enriched Attention Network with Group-wise Semantic for Visual Storytelling

As a technically challenging topic, visual storytelling aims at generati...

0 Tengpeng Li, et al. ∙

research

∙ 11/22/2021

CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images

The task of instance segmentation in remote sensing images, aiming at pe...

23 Ye Liu, et al. ∙

research

∙ 08/06/2021

Improving Contrastive Learning by Visualizing Feature Transformation

Contrastive learning, which aims at minimizing the distance between posi...

0 Rui Zhu, et al. ∙

research

∙ 07/28/2021

NOMA Assisted Multi-MEC Offloading for IoVT Networks

Nowadays, Internet of Video Things (IoVT) grows rapidly in terms of quan...

0 Fengqian Guo, et al. ∙

research

∙ 07/27/2021

QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems

In multi-cell non-orthogonal multiple access (NOMA) systems, designing a...

0 Fengqian Guo, et al. ∙

research

∙ 01/20/2021

Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations

The task of classifying mammograms is very challenging because the lesio...

0 Tao Wei, et al. ∙

research

∙ 08/16/2020

Association and Caching in Relay-Assisted mmWave Networks: From A Stochastic Geometry Perspective

Limited backhaul bandwidth and blockage effects are two main factors lim...

0 Zhuojia Gu, et al. ∙

research

∙ 08/14/2020

ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection

We consider the problem of Human-Object Interaction (HOI) Detection, whi...

0 Ye Liu, et al. ∙

research

∙ 07/13/2020

Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos

Many semantic events in team sport activities e.g. basketball often invo...

6 Lifang Wu, et al. ∙

research

∙ 06/06/2019

From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation

Many important classification problems, such as object classification, s...

3 Yu Liu, et al. ∙

research

∙ 03/23/2019

AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations

The learning of Transformation-Equivariant Representations (TERs), which...

0 Guo-Jun Qi, et al. ∙

research

∙ 03/16/2019

Ontology Based Global and Collective Motion Patterns for Event Classification in Basketball Videos

In multi-person videos, especially team sport videos, a semantic event i...

28 Lifang Wu, et al. ∙

research

∙ 12/17/2018

Receiver-driven Video Multicast over NOMA Systems in Heterogeneous Environments

Non-orthogonal multiple access (NOMA) has shown potential for scalable m...

0 Xiaoda Jiang, et al. ∙

research

∙ 02/18/2018

DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)

Unsupervised image translation, which aims in translating two independen...

0 Shuang Ma, et al. ∙

research

∙ 01/19/2018

Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images

Modeling statistical regularities is the problem of representing the pix...

0 Jing Zhang, et al. ∙

research

∙ 01/16/2018

Enabling Quality-Driven Scalable Video Transmission over Multi-User NOMA System

Recently, non-orthogonal multiple access (NOMA) has been proposed to ach...

0 Xiaoda Jiang, et al. ∙

research

∙ 04/02/2017

A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment

Deep convolutional neural networks (CNN) have recently been shown to gen...

0 Shuang Ma, et al. ∙

research

∙ 01/12/2017

Modularized Morphing of Neural Networks

In this work we study the problem of network morphism, an effective lear...

0 Tao Wei, et al. ∙

research

∙ 06/02/2016

Storytelling of Photo Stream with Bidirectional Multi-thread Recurrent Neural Network

Visual storytelling aims to generate human-level narrative language (i.e...

0 Yu Liu, et al. ∙

research

∙ 03/05/2016

Network Morphism

We present in this paper a systematic study on how to morph a well-train...

0 Tao Wei, et al. ∙

Chang Wen Chen

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