Xian-Sheng Hua

research

∙ 09/21/2023

Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting

This paper studies the problem of traffic flow forecasting, which aims t...

0 Yusheng Zhao, et al. ∙

research

∙ 08/18/2023

Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition

We tackle the data scarcity challenge in few-shot point cloud recognitio...

0 Xuanyu Yi, et al. ∙

research

∙ 07/28/2023

Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification

Finding abnormal lymph nodes in radiological images is highly important ...

0 Ke Yan, et al. ∙

research

∙ 07/17/2023

Random Boxes Are Open-world Object Detectors

We show that classifiers trained with random region proposals achieve st...

0 Yanghao Wang, et al. ∙

research

∙ 06/08/2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification

Although graph neural networks (GNNs) have achieved impressive achieveme...

0 Nan Yin, et al. ∙

research

∙ 05/19/2023

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction

In this paper, we investigate the challenge of spatio-temporal video pre...

0 Hao Wu, et al. ∙

research

∙ 05/06/2023

Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation

Existing knowledge distillation works for semantic segmentation mainly f...

0 Deyi Ji, et al. ∙

research

∙ 01/19/2023

FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network

Few-shot semantic segmentation is the task of learning to locate each pi...

0 Huafeng Liu, et al. ∙

research

∙ 08/06/2022

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization

Out-Of-Distribution generalization (OOD) is all about learning invarianc...

0 Jiaxin Qi, et al. ∙

research

∙ 07/27/2022

Identifying Hard Noise in Long-Tailed Sample Distribution

Conventional de-noising methods rely on the assumption that all samples ...

0 Xuanyu Yi, et al. ∙

research

∙ 07/27/2022

Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition

Transformer-based methods have recently achieved great advancement on 2D...

0 Wangmeng Xiang, et al. ∙

research

∙ 07/19/2022

Rethinking IoU-based Optimization for Single-stage 3D Object Detection

Since Intersection-over-Union (IoU) based optimization maintains the con...

0 Hualian Sheng, et al. ∙

research

∙ 07/06/2022

Towards Counterfactual Image Manipulation via CLIP

Leveraging StyleGAN's expressivity and its disentangled latent codes, ex...

0 Yingchen Yu, et al. ∙

research

∙ 06/29/2022

On Non-Random Missing Labels in Semi-Supervised Learning

Semi-Supervised Learning (SSL) is fundamentally a missing label problem,...

0 Xinting Hu, et al. ∙

research

∙ 04/15/2022

Dense Learning based Semi-Supervised Object Detection

Semi-supervised object detection (SSOD) aims to facilitate the training ...

0 Binghui Chen, et al. ∙

research

∙ 04/14/2022

Spatial Likelihood Voting with Self-Knowledge Distillation for Weakly Supervised Object Detection

Weakly supervised object detection (WSOD), which is an effective way to ...

0 Ze Chen, et al. ∙

research

∙ 04/02/2022

Homography Loss for Monocular 3D Object Detection

Monocular 3D object detection is an essential task in autonomous driving...

5 Jiaqi Gu, et al. ∙

research

∙ 04/01/2022

Dynamic Supervisor for Cross-dataset Object Detection

The application of cross-dataset training in object detection tasks is c...

0 Ze Chen, et al. ∙

research

∙ 03/14/2022

Disentangled Representation Learning for Text-Video Retrieval

Cross-modality interaction is a critical component in Text-Video Retriev...

0 Qiang Wang, et al. ∙

research

∙ 03/02/2022

Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation

Extracting class activation maps (CAM) is arguably the most standard ste...

0 Zhaozheng Chen, et al. ∙

research

∙ 12/29/2021

Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification

We address the overlooked unbiasedness in existing long-tailed classific...

0 Beier Zhu, et al. ∙

research

∙ 11/19/2021

Meta Clustering Learning for Large-scale Unsupervised Person Re-identification

Unsupervised Person Re-identification (U-ReID) with pseudo labeling rece...

0 Xin Jin, et al. ∙

research

∙ 10/28/2021

SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae

Spinal degeneration plagues many elders, office workers, and even the yo...

0 Jiabo He, et al. ∙

research

∙ 10/26/2021

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

Bounding box (bbox) regression is a fundamental task in computer vision....

0 Jiabo He, et al. ∙

research

∙ 10/11/2021

Density-Based Clustering with Kernel Diffusion

Finding a suitable density function is essential for density-based clust...

0 Chao Zheng, et al. ∙

research

∙ 08/23/2021

Improving 3D Object Detection with Channel-wise Transformer

Though 3D object detection from point clouds has achieved rapid progress...

3 Hualian Sheng, et al. ∙

research

∙ 07/28/2021

Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth

Current geometry-based monocular 3D object detection models can efficien...

5 Chenhang He, et al. ∙

research

∙ 07/23/2021

Transporting Causal Mechanisms for Unsupervised Domain Adaptation

Existing Unsupervised Domain Adaptation (UDA) literature adopts the cova...

0 Zhongqi Yue, et al. ∙

research

∙ 07/01/2021

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework

Knowledge Distillation (KD) is a popular technique to transfer knowledge...

0 Zhen Huang, et al. ∙

research

∙ 05/25/2021

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation

With the increasing scale and diversification of interaction behaviors i...

0 Xiao Luo, et al. ∙

research

∙ 04/03/2021

Graph Contrastive Clustering

Recently, some contrastive learning methods have been proposed to simult...

0 Huasong Zhong, et al. ∙

research

∙ 04/02/2021

Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation

Despite their success for semantic segmentation, convolutional neural ne...

0 Zilong Huang, et al. ∙

research

∙ 03/29/2021

Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization

Cloth-Changing person re-identification (CC-ReID) aims at matching the s...

0 Xin Jin, et al. ∙

research

∙ 03/16/2021

Dense Interaction Learning for Video-based Person Re-identification

Video-based person re-identification (re-ID) aims at matching the same p...

0 Tianyu He, et al. ∙

research

∙ 03/02/2021

Distilling Causal Effect of Data in Class-Incremental Learning

We propose a causal framework to explain the catastrophic forgetting in ...

1 Xinting Hu, et al. ∙

research

∙ 03/01/2021

Counterfactual Zero-Shot and Open-Set Visual Recognition

We present a novel counterfactual framework for both Zero-Shot Learning ...

0 Zhongqi Yue, et al. ∙

research

∙ 12/19/2020

Camera-aware Proxies for Unsupervised Person Re-Identification

This paper tackles the purely unsupervised person re-identification (Re-...

0 Menglin Wang, et al. ∙

research

∙ 12/08/2020

Learning to Generate Content-Aware Dynamic Detectors

Model efficiency is crucial for object detection. Mostprevious works rel...

0 Junyi Feng, et al. ∙

research

∙ 11/26/2020

Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition

Skeleton-based human action recognition has attracted much attention wit...

0 Zhen Huang, et al. ∙

research

∙ 10/18/2020

FGAGT: Flow-Guided Adaptive Graph Tracking

Multi-object tracking (MOT) has always been a very important research di...

0 Chaobing Shan, et al. ∙

research

∙ 10/15/2020

CIMON: Towards High-quality Hash Codes

Recently, hashing is widely-used in approximate nearest neighbor search ...

0 Xiao Luo, et al. ∙

research

∙ 09/28/2020

Interventional Few-Shot Learning

We uncover an ever-overlooked deficiency in the prevailing Few-Shot Lear...

0 Zhongqi Yue, et al. ∙

research

∙ 09/02/2020

PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation

Today, scene graph generation(SGG) task is largely limited in realistic ...

0 Shaotian Yan, et al. ∙

research

∙ 08/14/2020

Apparel-invariant Feature Learning for Apparel-changed Person Re-identification

With the rise of deep learning methods, person Re-Identification (ReID) ...

0 Zhengxu Yu, et al. ∙

research

∙ 08/07/2020

Deep Robust Clustering by Contrastive Learning

Recently, many unsupervised deep learning methods have been proposed to ...

0 Huasong Zhong, et al. ∙

research

∙ 08/06/2020

Salvage Reusable Samples from Noisy Data for Robust Learning

Due to the existence of label noise in web images and the high memorizat...

4 Zeren Sun, et al. ∙

research

∙ 07/30/2020

Stable Learning via Causality-based Feature Rectification

How to learn a stable model under agnostic distribution shift between tr...

0 Zhengxu Yu, et al. ∙

research

∙ 07/13/2020

Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles

Due to the advanced capabilities of the Internet of Vehicles (IoV) compo...

0 Jer Shyuan Ng, et al. ∙

research

∙ 06/23/2020

SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection

Based on the framework of multiple instance learning (MIL), tremendous w...

0 Ze Chen, et al. ∙

research

∙ 05/02/2020

PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks

Despite significant progress of applying deep learning methods to the fi...

25 Benyi Hu, et al. ∙

Xian-Sheng Hua

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