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09/18/2023
CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation
Audio-visual video segmentation (AVVS) aims to generate pixel-level maps...
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07/30/2023
Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation
Video-based scene graph generation (VidSGG) is an approach that aims to ...
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07/27/2023
Improved Neural Radiance Fields Using Pseudo-depth and Fusion
Since the advent of Neural Radiance Fields, novel view synthesis has rec...
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05/24/2023
Mitigating Biased Activation in Weakly-supervised Object Localization via Counterfactual Learning
In this paper, we focus on an under-explored issue of biased activation ...
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03/23/2023
Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label Learning
Current video-based scene graph generation (VidSGG) methods have been fo...
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01/03/2023
Further Improving Weakly-supervised Object Localization via Causal Knowledge Distillation
Weakly-supervised object localization aims to indicate the category as w...
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08/13/2022
DS-MVSNet: Unsupervised Multi-view Stereo via Depth Synthesis
In recent years, supervised or unsupervised learning-based MVS methods a...
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08/04/2022
Multi-scale Sampling and Aggregation Network For High Dynamic Range Imaging
High dynamic range (HDR) imaging is a fundamental problem in image proce...
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08/03/2022
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation
Recently, increasing efforts have been focused on Weakly Supervised Scen...
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08/02/2022
Unified Normalization for Accelerating and Stabilizing Transformers
Solid results from Transformers have made them prevailing architectures ...
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07/27/2022
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation
Nearly all existing scene graph generation (SGG) models have overlooked ...
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07/22/2022
Rethinking the Reference-based Distinctive Image Captioning
Distinctive Image Captioning (DIC) – generating distinctive captions tha...
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07/20/2022
Explicit Image Caption Editing
Given an image and a reference caption, the image caption editing task a...
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07/18/2022
Rethinking Data Augmentation for Robust Visual Question Answering
Data Augmentation (DA) – generating extra training samples beyond origin...
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07/06/2022
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging
Reconstructing ghosting-free high dynamic range (HDR) images of dynamic ...
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05/31/2022
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis
Structured sentiment analysis, which aims to extract the complex semanti...
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04/25/2022
Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives
Reasoning about causal and temporal event relations in videos is a new d...
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04/16/2022
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation
A thriving trend for domain adaptive segmentation endeavors to generate ...
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03/22/2022
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts
Limited by the computational efficiency and accuracy, generating complex...
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02/25/2022
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning
The expensive annotation cost is notoriously known as a main constraint ...
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12/29/2021
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation
Depth estimation is a crucial step for 3D reconstruction with panorama i...
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12/08/2021
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs
Today's VidSGG models are all proposal-based methods, i.e., they first g...
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12/02/2021
Consensus Graph Representation Learning for Better Grounded Image Captioning
The contemporary visual captioning models frequently hallucinate objects...
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12/02/2021
Relational Graph Learning for Grounded Video Description Generation
Grounded video description (GVD) encourages captioning models to attend ...
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11/09/2021
Unified Group Fairness on Federated Learning
Federated learning (FL) has emerged as an important machine learning par...
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10/03/2021
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Today's VQA models still tend to capture superficial linguistic correlat...
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09/22/2021
Natural Language Video Localization with Learnable Moment Proposals
Given an untrimmed video and a natural language query, Natural Language ...
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08/19/2021
Video Relation Detection via Tracklet based Visual Transformer
Video Visual Relation Detection (VidVRD), has received significant atten...
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08/19/2021
Progressive and Selective Fusion Network for High Dynamic Range Imaging
This paper considers the problem of generating an HDR image of a scene f...
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06/01/2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Centralized Training with Decentralized Execution (CTDE) has been a popu...
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05/26/2021
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey
Weakly-Supervised Object Detection (WSOD) and Localization (WSOL), i.e.,...
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05/12/2021
VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching
The prevailing framework for matching multimodal inputs is based on a tw...
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04/21/2021
Improving Weakly-supervised Object Localization via Causal Intervention
The recent emerged weakly supervised object localization (WSOL) methods ...
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04/15/2021
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent
By leveraging deep learning based technologies, the data-driven based ap...
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03/22/2021
Human-like Controllable Image Captioning with Verb-specific Semantic Roles
Controllable Image Captioning (CIC) – generating image descriptions foll...
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03/15/2021
Boundary Proposal Network for Two-Stage Natural Language Video Localization
We aim to address the problem of Natural Language Video Localization (NL...
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12/18/2020
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
With the successful application of deep learning models in many real-wor...
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10/21/2020
GFL: A Decentralized Federated Learning Framework Based On Blockchain
Due to people's emerging concern about data privacy, federated learning(...
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10/18/2020
Federated Unsupervised Representation Learning
To leverage enormous unlabeled data on distributed edge devices, we form...
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09/03/2020
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding
The prevailing framework for solving referring expression grounding is b...
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08/11/2020
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
Visual Storytelling (VIST) is a task to tell a narrative story about a c...
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07/29/2020
Accurate 2D soft segmentation of medical image via SoftGAN network
Accurate 2D lung nodules segmentation from medical Computed Tomography (...
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07/09/2020
Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing
Multi-task learning is an effective learning strategy for deep-learning-...
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05/26/2020
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation
Fashion outfit recommendation has attracted increasing attentions from o...
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03/14/2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Despite Visual Question Answering (VQA) has realized impressive progress...
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03/03/2020
Evaluation Framework For Large-scale Federated Learning
Federated learning is proposed as a machine learning setting to enable d...
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07/01/2019
Weak Supervision Enhanced Generative Network for Question Generation
Automatic question generation according to an answer within the given pa...
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04/22/2019
Galaxy Learning – A Position Paper
The recent rapid development of artificial intelligence (AI, mainly driv...
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12/06/2018
Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Scene graphs -- objects as nodes and visual relationships as edges -- de...
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10/24/2018
