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09/09/2023
Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video
Synthesizing realistic videos according to a given speech is still an op...
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09/06/2023
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction
Positive-Unlabeled (PU) Learning is a challenge presented by binary clas...
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07/26/2023
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation
We consider the problem of sequential recommendation, where the current ...
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07/07/2023
NOFA: NeRF-based One-shot Facial Avatar Reconstruction
3D facial avatar reconstruction has been a significant research topic in...
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05/08/2023
Improving Cross-Task Generalization with Step-by-Step Instructions
Instruction tuning has been shown to be able to improve cross-task gener...
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05/06/2023
Multi-object Video Generation from Single Frame Layouts
In this paper, we study video synthesis with emphasis on simplifying the...
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10/07/2022
Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification
Cloth changing person re-identification(Re-ID) can work under more compl...
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09/20/2022
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition
Recent works on multi-modal emotion recognition move towards end-to-end ...
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08/23/2022
A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation
Most existing deep-learning-based single image dynamic scene blind deblu...
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06/28/2022
MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations
Multimodal fine-grained sentiment analysis has recently attracted increa...
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03/23/2022
UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
Finding relevant moments and highlights in videos according to natural l...
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03/01/2022
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors
Multimodal sentiment analysis has attracted increasing attention and lot...
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02/04/2022
Model Averaging for Generalized Linear Models in Fragmentary Data Prediction
Fragmentary data is becoming more and more popular in many areas which b...
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12/20/2021
a novel attention-based network for fast salient object detection
In the current salient object detection network, the most popular method...
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11/24/2021
ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval
The huge domain gap between sketches and photos and the highly abstract ...
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11/14/2021
Auxiliary Loss Adaption for Image Inpainting
Auxiliary losses commonly used in image inpainting lead to better recons...
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11/03/2021
Origami-inspired soft twisting actuator
Soft actuators have shown great advantages in compliance and morphology ...
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10/16/2021
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation
An embodied task such as embodied question answering (EmbodiedQA), requi...
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08/30/2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
Visual recognition is currently one of the most important and active res...
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07/27/2021
Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework
Localizing individuals in crowds is more in accordance with the practica...
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07/27/2021
Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting
Recently, the problem of inaccurate learning targets in crowd counting d...
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05/24/2021
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking
Recently, most siamese network based trackers locate targets via object ...
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09/14/2020
Energy-Efficient Trajectory Design for UAV-Enabled Communication Under Malicious Jamming
In this letter, we investigate a UAV-enabled communication system, where...
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08/17/2020
Video Region Annotation with Sparse Bounding Boxes
Video analysis has been moving towards more detailed interpretation (e.g...
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07/29/2020
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking
Existing Multiple-Object Tracking (MOT) methods either follow the tracki...
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07/07/2020
ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation
We aim to improve the performance of Multiple Object Tracking and Segmen...
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07/07/2020
ReMOTS: Refining Multi-Object Tracking and Segmentation
We aim to improve the performance of Multiple Object Tracking and Segmen...
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03/09/2020
When Person Re-identification Meets Changing Clothes
Person re-identification (Reid) is now an active research topic for AI-b...
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01/30/2020
Multiple Object Tracking by Flowing and Fusing
Most of Multiple Object Tracking (MOT) approaches compute individual tar...
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12/08/2019
Lossless Compression for 3DCNNs Based on Tensor Train Decomposition
Three dimensional convolutional neural networks (3DCNNs) have been appli...
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11/24/2019
Using panoramic videos for multi-person localization and tracking in a 3D panoramic coordinate
This work proposes a new human-related video processing task named 3D pa...
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10/31/2019
Generalizing Energy-based Generative ConvNets from Particle Evolution Perspective
Compared with Generative Adversarial Networks (GAN), the Energy-Based ge...
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07/23/2019
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
Although skeleton-based action recognition has achieved great success in...
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07/02/2019
Dynamic Face Video Segmentation via Reinforcement Learning
For real-time semantic video segmentation, most recent works utilise a d...
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05/28/2019
EncryptGAN: Image Steganography with Domain Transform
We propose an image steganographic algorithm called EncryptGAN, which di...
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05/24/2019
Beyond Intra-modality Discrepancy: A Comprehensive Survey of Heterogeneous Person Re-identification
An effective and efficient person re-identification (ReID) algorithm wil...
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05/16/2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
The aim of this work is learning to reshape the object in an input image...
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01/24/2019
Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation
Current approaches have made great progress on image-to-image translatio...
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12/04/2018
FRAME Revisited: An Interpretation View Based on Particle Evolution
FRAME (Filters, Random fields, And Maximum Entropy) is an energy-based d...
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09/29/2018
Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice
Active learning aims to reduce annotation cost by predicting which sampl...
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07/02/2018
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
Humans can naturally understand an image in depth with the aid of rich k...
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06/12/2018
Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning
Active learning (AL) aims to enable training high performance classifier...
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02/09/2018
Metric Learning via Maximizing the Lipschitz Margin Ratio
In this paper, we propose the Lipschitz margin ratio and a new metric le...
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12/11/2017
3D Hand Pose Estimation: From Current Achievements to Future Goals
In this paper, we strive to answer two questions: What is the current st...
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12/06/2017
Pose-Normalized Image Generation for Person Re-identification
Person Re-identification (re-id) faces two major challenges: the lack of...
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09/15/2017
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification
We investigate the scalable image classification problem with a large nu...
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03/06/2014