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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 ...
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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...
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05/10/2023
Visual Tuning
Fine-tuning visual models has been widely shown promising performance on...
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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...
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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...
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10/28/2022
OhMG: Zero-shot Open-vocabulary Human Motion Generation
Generating motion in line with text has attracted increasing attention n...
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10/03/2022
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
Since the release of various large-scale natural language processing (NL...
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08/22/2022
Prompt-Matched Semantic Segmentation
The objective of this work is to explore how to effectively and efficien...
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07/11/2022
Learned Video Compression via Heterogeneous Deformable Compensation Network
Learned video compression has recently emerged as an essential research ...
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06/13/2022
Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection
Recent high-performing Human-Object Interaction (HOI) detection techniqu...
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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...
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03/12/2022
Taking an Emotional Look at Video Paragraph Captioning
Translating visual data into natural language is essential for machines ...
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03/10/2022
Knowledge-enriched Attention Network with Group-wise Semantic for Visual Storytelling
As a technically challenging topic, visual storytelling aims at generati...
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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...
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08/06/2021
Improving Contrastive Learning by Visualizing Feature Transformation
Contrastive learning, which aims at minimizing the distance between posi...
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07/28/2021
NOMA Assisted Multi-MEC Offloading for IoVT Networks
Nowadays, Internet of Video Things (IoVT) grows rapidly in terms of quan...
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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...
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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...
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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...
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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...
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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...
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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...
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03/23/2019
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
The learning of Transformation-Equivariant Representations (TERs), which...
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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...
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12/17/2018
Receiver-driven Video Multicast over NOMA Systems in Heterogeneous Environments
Non-orthogonal multiple access (NOMA) has shown potential for scalable m...
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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...
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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...
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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...
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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...
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01/12/2017
Modularized Morphing of Neural Networks
In this work we study the problem of network morphism, an effective lear...
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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...
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03/05/2016
