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08/15/2023
ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition
Visual chart recognition systems are gaining increasing attention due to...
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07/22/2023
Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach
A generative model for high-fidelity point clouds is of great importance...
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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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06/02/2023
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Although remarkable advancements have been made recently in point cloud ...
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04/27/2023
Compositional 3D Human-Object Neural Animation
Human-object interactions (HOIs) are crucial for human-centric scene und...
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02/19/2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning
Pseudo Labeling is a technique used to improve the performance of semi-s...
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02/10/2023
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
With recent success of deep learning in 2D visual recognition, deep lear...
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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
Responsible Active Learning via Human-in-the-loop Peer Study
Active learning has been proposed to reduce data annotation efforts by o...
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11/24/2022
Knowledge-Aware Federated Active Learning with Non-IID Data
Federated learning enables multiple decentralized clients to learn colla...
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08/01/2022
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
The challenge of fine-grained visual recognition often lies in discoveri...
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07/14/2022
Deep Dictionary Learning with An Intra-class Constraint
In recent years, deep dictionary learning (DDL)has attracted a great amo...
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07/06/2022
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation
Point cloud semantic segmentation from projected views, such as range-vi...
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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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03/27/2022
Discovering Human-Object Interaction Concepts via Self-Compositional Learning
A comprehensive understanding of human-object interaction (HOI) requires...
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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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03/05/2022
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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03/03/2022
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
Despite the success of deep neural networks, there are still many challe...
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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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08/18/2021
SynFace: Face Recognition with Synthetic Data
With the recent success of deep neural networks, remarkable progress has...
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06/20/2021
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
A table arranging data in rows and columns is a very effective data stru...
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04/07/2021
Affordance Transfer Learning for Human-Object Interaction Detection
Reasoning the human-object interactions (HOI) is essential for deeper sc...
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03/15/2021
Detecting Human-Object Interaction via Fabricated Compositional Learning
Human-Object Interaction (HOI) detection, inferring the relationships be...
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09/01/2020
Heatmap Regression via Randomized Rounding
Heatmap regression has become the mainstream methodology for deep learni...
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06/09/2020
Knowledge Distillation: A Survey
In recent years, deep neural networks have been very successful in the f...
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11/13/2019
Unsupervised Domain Adaptation on Reading Comprehension
Reading comprehension (RC) has been studied in a variety of datasets wit...
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11/11/2019
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution
How to build an effective large-scale traffic state prediction system is...
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05/09/2018
