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07/19/2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Modeling customer shopping intentions is a crucial task for e-commerce, ...
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03/28/2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
Predicting missing facts in a knowledge graph (KG) is crucial as modern ...
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08/19/2021
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
We study the problem of query attribute value extraction, which aims to ...
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07/01/2021
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
In this paper, we propose an Omni-perception Pre-Trainer (OPT) for cross...
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05/06/2021
Graph-based Multilingual Product Retrieval in E-commerce Search
Nowadays, with many e-commerce platforms conducting global business, e-c...
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03/22/2021
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
Existing methods for skeleton-based action recognition mainly focus on i...
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01/24/2021
Fast Sequence Generation with Multi-Agent Reinforcement Learning
Autoregressive sequence Generation models have achieved state-of-the-art...
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07/07/2020
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition
Dynamic skeletal data, represented as the 2D/3D coordinates of human joi...
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05/10/2020
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
Most image captioning models are autoregressive, i.e. they generate each...
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04/07/2020
SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition
In this paper, a new perspective is presented for skeleton-based action ...
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03/19/2020
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
Self-attention (SA) network has shown profound value in image captioning...
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12/15/2019
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
Graph convolutional networks (GCNs), which generalize CNNs to more gener...
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11/28/2019
Action Recognition via Pose-Based Graph Convolutional Networks with Intermediate Dense Supervision
Pose-based action recognition has drawn considerable attention recently....
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11/05/2019
Adaptive Context Network for Scene Parsing
Recent works attempt to improve scene parsing performance by exploring d...
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10/17/2019
Multi-View Features and Hybrid Reward Strategies for Vatex Video Captioning Challenge 2019
This document describes our solution for the VATEX Captioning Challenge ...
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08/06/2019
Aligning Linguistic Words and Visual Semantic Units for Image Captioning
Image captioning attempts to generate a sentence composed of several lin...
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06/25/2019
Learning Features with Differentiable Closed-Form Solver for Tracking
We present a novel and easy-to-implement training framework for visual t...
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12/18/2018
Recurrent Calibration Network for Irregular Text Recognition
Scene text recognition has received increased attention in the research ...
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09/09/2018
Dual Attention Network for Scene Segmentation
In this paper, we address the scene segmentation task by capturing rich ...
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05/20/2018
Adaptive Spectral Graph Convolutional Networks for Skeleton-Based Action Recognition
Traditional deep methods for skeleton-based action recognition usually s...
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02/03/2018
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks
Deep neural networks have evolved remarkably over the past few years and...
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02/03/2018
A Survey on Acceleration of Deep Convolutional Neural Networks
Deep Neural Networks have achieved remarkable progress during the past f...
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09/13/2017
Reading Scene Text with Attention Convolutional Sequence Modeling
Reading text in the wild is a challenging task in the field of computer ...
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08/09/2017