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07/21/2023
Tuning Pre-trained Model via Moment Probing
Recently, efficient fine-tuning of large-scale pre-trained models has at...
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03/17/2023
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
Predicting attention regions of interest is an important yet challenging...
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02/09/2023
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
In recent years, there has been an increased popularity in image and spe...
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02/02/2023
MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion
Infrared and visible image fusion can compensate for the incompleteness ...
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12/13/2022
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
Image-based head swapping task aims to stitch a source head to another s...
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11/07/2022
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech
Speech representation learning has improved both speech understanding an...
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08/29/2022
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
Multi-view learning has progressed rapidly in recent years. Although man...
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03/19/2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Semantic segmentation with limited annotations, such as weakly supervise...
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03/10/2022
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation
Due to the lack of expertise for medical image annotation, the investiga...
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08/31/2021
Unsupervised Open-Domain Question Answering
Open-domain Question Answering (ODQA) has achieved significant results i...
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07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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05/06/2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
To promote the developments of object detection, tracking and counting a...
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01/05/2021
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
Semantic parsing has long been a fundamental problem in natural language...
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08/16/2020
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning
Although significant progress achieved, multi-label classification is st...
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03/29/2020
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation
Unsupervised domain adaptation is critical in various computer vision ta...
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03/18/2020
Rethinking Object Detection in Retail Stores
The convention standard for object detection uses a bounding box to repr...
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03/16/2020
Multi-Drone based Single Object Tracking with Agent Sharing Network
Drone equipped with cameras can dynamically track the target in the air ...
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01/26/2020
Dual Multi-head Co-attention for Multi-choice Reading Comprehension
Multi-choice Machine Reading Comprehension (MRC) requires model to decid...
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01/16/2020
Vision Meets Drones: Past, Present and Future
Drones, or general UAVs, equipped with cameras have been fast deployed w...
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12/04/2019
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
This paper proposes a space-time multi-scale attention network (STANet) ...
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10/08/2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Channel attention has recently demonstrated to offer great potential in ...
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08/06/2019
Multi-view Deep Subspace Clustering Networks
Multi-view subspace clustering aims to discover the inherent structure b...
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01/26/2019
Progressive Image Deraining Networks: A Better and Simpler Baseline
Along with the deraining performance improvement of deep networks, their...
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10/03/2018
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
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08/10/2018
Lingke: A Fine-grained Multi-turn Chatbot for Customer Service
Traditional chatbots usually need a mass of human dialogue data, especia...
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08/07/2018
Effective Character-augmented Word Embedding for Machine Reading Comprehension
Machine reading comprehension is a task to model relationship between pa...
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06/24/2018
Modeling Multi-turn Conversation with Deep Utterance Aggregation
Multi-turn conversation understanding is a major challenge for building ...
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04/20/2018
Vision Meets Drones: A Challenge
In this paper we present a large-scale visual object detection and track...
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04/17/2018
On Improving Deep Reinforcement Learning for POMDPs
Deep Reinforcement Learning (RL) recently emerged as one of the most com...
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08/30/2013
