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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...
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07/13/2023
Free-Form Composition Networks for Egocentric Action Recognition
Egocentric action recognition is gaining significant attention in the fi...
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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...
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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...
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05/04/2023
Noise-Resistant Multimodal Transformer for Emotion Recognition
Multimodal emotion recognition identifies human emotions from various da...
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03/02/2023
Token Contrast for Weakly-Supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation (WSSS) using image-level labels ...
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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...
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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...
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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...
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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...
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11/24/2022
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation
Self-supervised facial representation has recently attracted increasing ...
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10/27/2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack
We present Twin Answer Sentences Attack (TASA), an adversarial attack me...
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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...
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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...
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07/25/2022
Improving Adversarial Robustness via Mutual Information Estimation
Deep neural networks (DNNs) are found to be vulnerable to adversarial no...
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07/24/2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Anomaly detection aims at identifying deviant samples from the normal da...
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07/24/2022
Learning Graph Neural Networks for Image Style Transfer
State-of-the-art parametric and non-parametric style transfer approaches...
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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 ...
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06/15/2022
CLNode: Curriculum Learning for Node Classification
Node classification is a fundamental graph-based task that aims to predi...
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05/18/2022
Pluralistic Image Completion with Probabilistic Mixture-of-Experts
Pluralistic image completion focuses on generating both visually realist...
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05/03/2022
HL-Net: Heterophily Learning Network for Scene Graph Generation
Scene graph generation (SGG) aims to detect objects and predict their pa...
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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...
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04/04/2022
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning
Attention mechanisms have been very popular in deep neural networks, whe...
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03/22/2022
Exploring High-Order Structure for Robust Graph Structure Learning
Recent studies show that Graph Neural Networks (GNNs) are vulnerable to ...
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03/10/2022
Contrastive Boundary Learning for Point Cloud Segmentation
Point cloud segmentation is fundamental in understanding 3D environments...
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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...
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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...
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02/22/2022
A Review of Affective Generation Models
Affective computing is an emerging interdisciplinary field where computa...
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02/15/2022
Hyper-relationship Learning Network for Scene Graph Generation
Generating informative scene graphs from images requires integrating and...
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01/18/2022
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation
Scene Graph Generation (SGG) aims to build a structured representation o...
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12/22/2021
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks
Over-smoothing is a challenging problem, which degrades the performance ...
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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...
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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...
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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....
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05/05/2019
