research
∙
09/16/2023
Intelligent machines work in unstructured environments by differential neural computing
Expecting intelligent machines to efficiently work in real world require...
share
research
∙
08/16/2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly
This paper focuses on addressing the practical yet challenging problem o...
research
∙
08/14/2023
FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow
Multiple object tracking (MOT) has been successfully investigated in com...
research
∙
08/07/2023
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
Zero-shot skeleton-based action recognition aims to recognize actions of...
research
∙
06/02/2023
OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection
Multi-view 3D object detection is becoming popular in autonomous driving...
research
∙
06/01/2023
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image
Understanding and modeling the 3D scene from a single image is a practic...
research
∙
05/27/2023
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
Vision-language models have achieved tremendous progress far beyond what...
research
∙
04/07/2023
V3Det: Vast Vocabulary Visual Detection Dataset
Recent advances in detecting arbitrary objects in the real world are tra...
research
∙
03/22/2023
Dense Distinct Query for End-to-End Object Detection
One-to-one label assignment in object detection has successfully obviate...
research
∙
03/11/2023
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation
Referring image segmentation segments an image from a language expressio...
research
∙
03/05/2023
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT
Federated learning (FL) enables multiple clients to train models collabo...
research
∙
02/17/2023
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
Self-supervised learning has demonstrated remarkable capability in repre...
research
∙
01/31/2023
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
Real-world data contains a vast amount of multimodal information, among ...
research
∙
01/18/2023
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Recent advances in modeling 3D objects mostly rely on synthetic datasets...
research
∙
01/18/2023
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Semi-Supervised Semantic Segmentation aims at training the segmentation ...
research
∙
01/17/2023
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement
Retinal fundus images have been applied for the diagnosis and screening ...
research
∙
10/12/2022
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition
Graph convolution networks (GCN) have been widely used in skeleton-based...
research
∙
09/22/2022
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning
When learning from sensitive data, care must be taken to ensure that tra...
research
∙
08/26/2022
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Neural surface reconstruction aims to reconstruct accurate 3D surfaces b...
research
∙
08/23/2022
Towards Natural Language-Based Visualization Authoring
A key challenge to visualization authoring is the process of getting fam...
research
∙
07/01/2022
An Understanding-Oriented Robust Machine Reading Comprehension Model
Although existing machine reading comprehension models are making rapid ...
research
∙
06/02/2022
What Are Expected Queries in End-to-End Object Detection?
End-to-end object detection is rapidly progressed after the emergence of...
research
∙
05/19/2022
PYSKL: Towards Good Practices for Skeleton Action Recognition
We present PYSKL: an open-source toolbox for skeleton-based action recog...
research
∙
05/06/2022
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection
Learning from a few training samples is a desirable ability of an object...
research
∙
12/04/2021
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
Referring image segmentation is a fundamental vision-language task that ...
research
∙
11/23/2021
Few-Shot Object Detection via Association and DIscrimination
Object detection has achieved substantial progress in the last decade. H...
research
∙
09/12/2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
Federated Learning has shown great potentials for the distributed data u...
research
∙
09/09/2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
Federated Semi-Supervised Learning (FedSSL) has gained rising attention ...
research
∙
09/09/2021
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Most recent semantic segmentation methods adopt a U-Net framework with a...
research
∙
07/30/2021
Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce
E-commerce sites strive to provide users the most timely relevant inform...
research
∙
01/23/2021
An In-depth Review of Privacy Concerns Raised by the COVID-19 Pandemic
COVID-19 has hugely changed our lives, work, and interactions with peopl...
research
∙
12/07/2020
CARAFE++: Unified Content-Aware ReAssembly of FEatures
Feature reassembly, i.e. feature downsampling and upsampling, is a key o...
research
∙
09/29/2020
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text
The competition of extracting COVID-19 events from Twitter is to develop...
research
∙
09/28/2020
Texture Memory-Augmented Deep Patch-Based Image Inpainting
Patch-based methods and deep networks have been employed to tackle image...
research
∙
09/19/2020
Active Learning for Product Type Ontology Enhancement in E-commerce
Entity-based semantic search has been widely adopted in modern search en...
research
∙
08/23/2020
Seesaw Loss for Long-Tailed Instance Segmentation
This report presents the approach used in the submission of the LVIS Cha...
research
∙
05/18/2020
MMFashion: An Open-Source Toolbox for Visual Fashion Analysis
We present MMFashion, a comprehensive, flexible and user-friendly open-s...
research
∙
02/22/2020
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC
Promising federated learning coupled with Mobile Edge Computing (MEC) is...
research
∙
12/09/2019
Side-Aware Boundary Localization for More Precise Object Detection
Current object detection frameworks mainly rely on bounding box regressi...
research
∙
06/18/2019
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks
Obtaining the state of the art performance of deep learning models impos...
research
∙
06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
research
∙
05/06/2019
CARAFE: Content-Aware ReAssembly of FEatures
Feature upsampling is a key operation in a number of modern convolutiona...
research
∙
03/27/2019
Hierarchical Attention Generative Adversarial Networks for Cross-domain Sentiment Classification
Cross-domain sentiment classification (CDSC) is an importance task in do...
research
∙
01/22/2019
Hybrid Task Cascade for Instance Segmentation
Cascade is a classic yet powerful architecture that has boosted performa...
research
∙
01/10/2019
Region Proposal by Guided Anchoring
Region anchors are the cornerstone of modern object detection techniques...
research
∙
04/16/2018