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09/05/2023
Hierarchical Masked 3D Diffusion Model for Video Outpainting
Video outpainting aims to adequately complete missing areas at the edges...
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08/25/2023
Federated Linear Bandit Learning via Over-the-Air Computation
In this paper, we investigate federated contextual linear bandit learnin...
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08/09/2023
TextPainter: Multimodal Text Image Generation withVisual-harmony and Text-comprehension for Poster Design
Text design is one of the most critical procedures in poster design, as ...
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07/31/2023
Visual Captioning at Will: Describing Images and Videos Guided by a Few Stylized Sentences
Stylized visual captioning aims to generate image or video descriptions ...
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06/08/2023
Bayesian Optimization of Expensive Nested Grey-Box Functions
We consider the problem of optimizing a grey-box objective function, i.e...
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06/06/2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Click-Through Rate (CTR) prediction serves as a fundamental component in...
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06/06/2023
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
Cascading architecture has been widely adopted in large-scale advertisin...
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05/22/2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Conversion rate (CVR) prediction is one of the core components in online...
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05/15/2023
Edit As You Wish: Video Description Editing with Multi-grained Commands
Automatically narrating a video with natural language can assist people ...
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04/12/2023
Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints
This paper studies the problem of online performance optimization of con...
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12/06/2022
Video Object of Interest Segmentation
In this work, we present a new computer vision task named video object o...
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11/21/2022
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints
In this paper, the CONFIG algorithm, a simple and provably efficient con...
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10/04/2022
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control
With the recent advances in mobile energy storage technologies, electric...
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09/29/2022
Motion and Appearance Adaptation for Cross-Domain Motion Transfer
Motion transfer aims to transfer the motion of a driving video to a sour...
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09/28/2022
Motion Transformer for Unsupervised Image Animation
Image animation aims to animate a source image by using motion learned f...
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09/20/2022
Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization
Efficient global optimization is a widely used method for optimizing exp...
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09/02/2022
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation
Layout generation is a novel task in computer vision, which combines the...
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08/12/2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
Despite the development of ranking optimization techniques, the pointwis...
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05/07/2022
Attract me to Buy: Advertisement Copywriting Generation with Multimodal Multi-structured Information
Recently, online shopping has gradually become a common way of shopping ...
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05/06/2022
Dual-Level Decoupled Transformer for Video Captioning
Video captioning aims to understand the spatio-temporal semantic concept...
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04/27/2022
CapOnImage: Context-driven Dense-Captioning on Image
Existing image captioning systems are dedicated to generating narrative ...
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04/27/2022
Self-Supervised Text Erasing with Controllable Image Synthesis
Recent efforts on scene text erasing have shown promising results. Howev...
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04/25/2022
Estimation of Reliable Proposal Quality for Temporal Action Detection
Temporal action detection (TAD) aims to locate and recognize the actions...
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04/11/2022
Structure-Aware Motion Transfer with Deformable Anchor Model
Given a source image and a driving video depicting the same object type,...
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04/10/2022
Learning Pixel-Level Distinctions for Video Highlight Detection
The goal of video highlight detection is to select the most attractive s...
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03/29/2022
Over-the-Air Federated Learning via Second-Order Optimization
Federated learning (FL) is a promising learning paradigm that can tackle...
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01/24/2022
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
Federated learning (FL), as an emerging edge artificial intelligence par...
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12/19/2021
Move As You Like: Image Animation in E-Commerce Scenario
Creative image animations are attractive in e-commerce applications, whe...
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10/18/2021
Boosting Image Outpainting with Semantic Layout Prediction
The objective of image outpainting is to extend image current border and...
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05/25/2021
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising
Advertising expenditures have become the major source of revenue for e-c...
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05/11/2021
Over-the-Air Computation via Reconfigurable Intelligent Surface
Over-the-air computation (AirComp) is a disruptive technique for fast wi...
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04/19/2021
Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach
Let a labeled dataset be given with scattered samples and consider the h...
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11/09/2020
Learning the Best Pooling Strategy for Visual Semantic Embedding
Visual Semantic Embedding (VSE) is a dominant approach for vision-langua...
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06/02/2020
ALADIN-α – An open-source MATLAB toolbox for distributed non-convex optimization
This paper introduces an open-source software for distributed and decent...
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03/27/2020
Controllable Person Image Synthesis with Attribute-Decomposed GAN
This paper introduces the Attribute-Decomposed GAN, a novel generative m...
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02/17/2020
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
Automatic map extraction is of great importance to urban computing and l...
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12/10/2019
SOLO: Segmenting Objects by Locations
We present a new, embarrassingly simple approach to instance segmentatio...
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09/17/2019
Task-Aware Monocular Depth Estimation for 3D Object Detection
Monocular depth estimation enables 3D perception from a single 2D image,...
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09/05/2019
Effective Domain Knowledge Transfer with Soft Fine-tuning
Convolutional neural networks require numerous data for training. Consid...
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04/11/2019
Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
We propose the Unified Visual-Semantic Embeddings (Unified VSE) for lear...
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04/11/2019
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations
We propose Unified Visual-Semantic Embeddings (UniVSE) for learning a jo...
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04/08/2019
FoveaBox: Beyond Anchor-based Object Detector
We present FoveaBox, an accurate, flexible and completely anchor-free fr...
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03/27/2019
Decomposition of non-convex optimization via bi-level distributed ALADIN
Decentralized optimization algorithms are important in different context...
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01/19/2019
Consistent Optimization for Single-Shot Object Detection
We present consistent optimization for single stage object detection. Pr...
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07/30/2018
Acquisition of Localization Confidence for Accurate Object Detection
Modern CNN-based object detectors rely on bounding box regression and no...
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07/26/2018
Unified Perceptual Parsing for Scene Understanding
Humans recognize the visual world at multiple levels: we effortlessly ca...
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06/27/2018
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
We study the problem of grounding distributional representations of text...
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02/23/2018
Distributed Optimal Power Flow using ALADIN
The present paper applies the recently proposed Augmented Lagrangian Alt...
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11/21/2017
Repulsion Loss: Detecting Pedestrians in a Crowd
Detecting individual pedestrians in a crowd remains a challenging proble...
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11/20/2017