b'Yibing Zhan'

research

∙ 09/07/2023

Chasing Consistency in Text-to-3D Generation from a Single Image

Text-to-3D generation from a single-view image is a popular but challeng...

0 Yichen Ouyang, et al. ∙

research

∙ 07/13/2023

Free-Form Composition Networks for Egocentric Action Recognition

Egocentric action recognition is gaining significant attention in the fi...

0 Haoran Wang, et al. ∙

research

∙ 06/22/2023

On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling

A pooling operation is essential for effective graph-level representatio...

0 Chuang Liu, et al. ∙

research

∙ 06/01/2023

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking

Zero-shot transfer learning for Dialogue State Tracking (DST) helps to h...

0 Qingyue Wang, et al. ∙

research

∙ 05/04/2023

Noise-Resistant Multimodal Transformer for Emotion Recognition

Multimodal emotion recognition identifies human emotions from various da...

0 Yuanyuan Liu, et al. ∙

research

∙ 03/02/2023

Token Contrast for Weakly-Supervised Semantic Segmentation

Weakly-Supervised Semantic Segmentation (WSSS) using image-level labels ...

0 Lixiang Ru, et al. ∙

research

∙ 02/18/2023

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE

This technical report briefly describes our JDExplore d-team's submissio...

15 Qihuang Zhong, et al. ∙

research

∙ 02/15/2023

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes

Cross-view multi-object tracking aims to link objects between frames and...

0 Shenghao Hao, et al. ∙

research

∙ 12/20/2022

Original or Translated? On the Use of Parallel Data for Translation Quality Estimation

Machine Translation Quality Estimation (QE) is the task of evaluating tr...

0 Baopu Qiu, et al. ∙

research

∙ 12/04/2022

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE

This technical report briefly describes our JDExplore d-team's Vega v2 s...

0 Qihuang Zhong, et al. ∙

research

∙ 11/24/2022

Pose-disentangled Contrastive Learning for Self-supervised Facial Representation

Self-supervised facial representation has recently attracted increasing ...

0 Yuanyuan Liu, et al. ∙

research

∙ 10/27/2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack

We present Twin Answer Sentences Attack (TASA), an adversarial attack me...

0 Yu Cao, et al. ∙

research

∙ 09/20/2022

Vega-MT: The JD Explore Academy Translation System for WMT22

We describe the JD Explore Academy's submission of the WMT 2022 shared g...

2 Changtong Zan, et al. ∙

research

∙ 09/07/2022

Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition

Few-shot visual recognition refers to recognize novel visual concepts fr...

3 Mengya Han, et al. ∙

research

∙ 07/25/2022

Improving Adversarial Robustness via Mutual Information Estimation

Deep neural networks (DNNs) are found to be vulnerable to adversarial no...

0 Dawei Zhou, et al. ∙

research

∙ 07/24/2022

Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection

Anomaly detection aims at identifying deviant samples from the normal da...

14 Gaoang Wang, et al. ∙

research

∙ 07/24/2022

Learning Graph Neural Networks for Image Style Transfer

State-of-the-art parametric and non-parametric style transfer approaches...

0 Yongcheng Jing, et al. ∙

research

∙ 07/18/2022

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks

Graph Neural Networks (GNNs) tend to suffer from high computation costs ...

4 Chuang Liu, et al. ∙

research

∙ 06/15/2022

CLNode: Curriculum Learning for Node Classification

Node classification is a fundamental graph-based task that aims to predi...

0 Xiaowen Wei, et al. ∙

research

∙ 05/18/2022

Pluralistic Image Completion with Probabilistic Mixture-of-Experts

Pluralistic image completion focuses on generating both visually realist...

4 Xiaobo Xia, et al. ∙

research

∙ 05/03/2022

HL-Net: Heterophily Learning Network for Scene Graph Generation

Scene graph generation (SGG) aims to detect objects and predict their pa...

0 Xin Lin, et al. ∙

research

∙ 04/15/2022

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

Graph neural networks have emerged as a leading architecture for many gr...

0 Chuang Liu, et al. ∙

research

∙ 04/04/2022

BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning

Attention mechanisms have been very popular in deep neural networks, whe...

0 Zhi Hou, et al. ∙

research

∙ 03/22/2022

Exploring High-Order Structure for Robust Graph Structure Learning

Recent studies show that Graph Neural Networks (GNNs) are vulnerable to ...

0 Guangqian Yang, et al. ∙

research

∙ 03/10/2022

Contrastive Boundary Learning for Point Cloud Segmentation

Point cloud segmentation is fundamental in understanding 3D environments...

12 Liyao Tang, et al. ∙

research

∙ 03/08/2022

Where Does the Performance Improvement Come From? – A Reproducibility Concern about Image-Text Retrieval

This paper seeks to provide the information retrieval community with som...

0 Jun Rao, et al. ∙

research

∙ 03/05/2022

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

Weakly-supervised semantic segmentation (WSSS) with image-level labels i...

0 Lixiang Ru, et al. ∙

research

∙ 02/22/2022

A Review of Affective Generation Models

Affective computing is an emerging interdisciplinary field where computa...

0 Guangtao Nie, et al. ∙

research

∙ 02/15/2022

Hyper-relationship Learning Network for Scene Graph Generation

Generating informative scene graphs from images requires integrating and...

4 Yibing Zhan, et al. ∙

research

∙ 01/18/2022

Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation

Scene Graph Generation (SGG) aims to build a structured representation o...

4 Chao Chen, et al. ∙

research

∙ 12/22/2021

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks

Over-smoothing is a challenging problem, which degrades the performance ...

0 Weigang Lu, et al. ∙

research

∙ 09/17/2021

Expression Snippet Transformer for Robust Video-based Facial Expression Recognition

The recent success of Transformer has provided a new direction to variou...

35 Yuanyuan Liu, et al. ∙

research

∙ 06/25/2021

Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval

Cross-modal retrieval aims to enable flexible retrieval experience by co...

0 Xueying Chen, et al. ∙

research

∙ 12/25/2020

Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing

Unsupervised cross-modal hashing (UCMH) has become a hot topic recently....

0 Jun Yu, et al. ∙

research

∙ 05/05/2019

On Exploring Undetermined Relationships for Visual Relationship Detection

In visual relationship detection, human-notated relationships can be reg...

0 Yibing Zhan, et al. ∙

Yibing Zhan

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