Jianqiang Huang

research

∙ 09/01/2023

ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction

Spatiotemporal prediction aims to generate future sequences by paradigms...

0 Wenxuan Zhang, 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

∙ 11/20/2022

Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation

Extracting class activation maps (CAM) is a key step for weakly-supervis...

0 Jianqiang Huang, et al. ∙

research

∙ 07/25/2022

On Mitigating Hard Clusters for Face Clustering

Face clustering is a promising way to scale up face recognition systems ...

0 Yingjie Chen, 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

∙ 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

Online Convolutional Re-parameterization

Structural re-parameterization has drawn increasing attention in various...

0 Mu Hu, 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

∙ 01/18/2022

Continual Learning for CTR Prediction: A Hybrid Approach

Click-through rate(CTR) prediction is a core task in cost-per-click(CPC)...

0 Ke Hu, et al. ∙

research

∙ 12/31/2021

Deconfounded Visual Grounding

We focus on the confounding bias between language and location in the vi...

1 Jianqiang Huang, et al. ∙

research

∙ 11/25/2021

AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020

Graph Neural Networks (GNNs) have become increasingly popular and achiev...

0 Jin Xu, 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

Self-Supervised Learning Disentangled Group Representation as Feature

A good visual representation is an inference map from observations (imag...

0 Tan Wang, 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

∙ 10/05/2021

Networked Time Series Prediction with Incomplete Data

A networked time series (NETS) is a family of time series on a given gra...

0 Yichen Zhu, et al. ∙

research

∙ 09/16/2021

Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis

We propose a novel and flexible roof modeling approach that can be used ...

0 Jing Ren, et al. ∙

research

∙ 09/09/2021

AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data

Temporal relational data, perhaps the most commonly used data type in in...

0 Zhipeng Luo, 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

∙ 07/01/2021

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework

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

0 Zhen Huang, et al. ∙

research

∙ 06/10/2021

Deep Position-wise Interaction Network for CTR Prediction

Click-through rate (CTR) prediction plays an important role in online ad...

0 Jianqiang 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

∙ 04/29/2021

Discriminative-Generative Dual Memory Video Anomaly Detection

Recently, people tried to use a few anomalies for video anomaly detectio...

2 Xin Guo, 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

∙ 03/24/2021

The Blessings of Unlabeled Background in Untrimmed Videos

Weakly-supervised Temporal Action Localization (WTAL) aims to detect the...

0 Yuan Liu, 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

∙ 01/18/2021

DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing

With the magnitude of graph-structured data continually increasing, grap...

0 Jiping Yu, 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

∙ 11/19/2020

DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation

Binary grid mask representation is broadly used in instance segmentation...

0 Xing Shen, 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

Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect

As the class size grows, maintaining a balanced dataset across many clas...

0 Kaihua Tang, 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

∙ 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

∙ 04/08/2020

Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach

Coupled with the rise of Deep Learning, the wealth of data and enhanced ...

0 Wei Yang Bryan Lim, et al. ∙

research

∙ 04/03/2020

Gradient Centralization: A New Optimization Technique for Deep Neural Networks

Optimization techniques are of great importance to effectively and effic...

0 Hongwei Yong, et al. ∙

research

∙ 02/27/2020

Visual Commonsense R-CNN

We present a novel unsupervised feature representation learning method, ...

26 Tan Wang, et al. ∙

research

∙ 02/27/2020

Unbiased Scene Graph Generation from Biased Training

Today's scene graph generation (SGG) task is still far from practical, m...

0 Kaihua Tang, et al. ∙

research

∙ 02/12/2020

Towards Precise Intra-camera Supervised Person Re-identification

Intra-camera supervision (ICS) for person re-identification (Re-ID) assu...

0 Menglin Wang, et al. ∙

research

∙ 11/24/2019

Two Causal Principles for Improving Visual Dialog

This paper is a winner report from team MReaL-BDAI for Visual Dialog Cha...

10 Jiaxin Qi, et al. ∙

research

∙ 11/21/2019

Quantization Networks

Although deep neural networks are highly effective, their high computati...

0 Jiwei Yang, et al. ∙

research

∙ 08/07/2019

Progressive Transfer Learning for Person Re-identification

Model fine-tuning is a widely used transfer learning approach in person ...

0 Zhengxu Yu, et al. ∙

research

∙ 07/12/2019

Neural News Recommendation with Attentive Multi-View Learning

Personalized news recommendation is very important for online news platf...

0 Chuhan Wu, et al. ∙

Jianqiang Huang

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