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08/24/2023
Mind vs. Mouth: On Measuring Re-judge Inconsistency of Social Bias in Large Language Models
Recent researches indicate that Pre-trained Large Language Models (LLMs)...
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08/12/2023
Learn Single-horizon Disease Evolution for Predictive Generation of Post-therapeutic Neovascular Age-related Macular Degeneration
Most of the existing disease prediction methods in the field of medical ...
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06/21/2023
Distributed Random Reshuffling Methods with Improved Convergence
This paper proposes two distributed random reshuffling methods, namely G...
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05/19/2023
Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona
The personalized dialogue explores the consistent relationship between d...
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01/30/2023
Distributed Stochastic Optimization under a General Variance Condition
Distributed stochastic optimization has drawn great attention recently d...
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01/14/2023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
In this paper, we consider solving the distributed optimization problem ...
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01/12/2023
Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation
Towards human-like dialogue systems, current emotional dialogue approach...
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12/20/2022
360^∘ Stereo Image Composition with Depth Adaption
360^∘ images and videos have become an economic and popular way to provi...
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12/17/2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
Physical interactions can often help reveal information that is not read...
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11/05/2022
Aligning Recommendation and Conversation via Dual Imitation
Human conversations of recommendation naturally involve the shift of int...
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10/19/2022
Identifying the Impact of User Reviews on App Updates: An Exploratory Study on App Release Notes
Release planning for mobile apps has recently become an area of active r...
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07/27/2022
Deep 360^∘ Optical Flow Estimation Based on Multi-Projection Fusion
Optical flow computation is essential in the early stages of the video p...
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05/07/2022
Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation
You can have your cake and eat it too. Microvessel segmentation in optic...
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02/02/2022
Accurate calibration of multi-perspective cameras from a generalization of the hand-eye constraint
Multi-perspective cameras are quickly gaining importance in many applica...
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12/31/2021
Distributed Random Reshuffling over Networks
In this paper, we consider the distributed optimization problem where n ...
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10/16/2021
Fast Projection onto the Capped Simplex withApplications to Sparse Regression in Bioinformatics
We consider the problem of projecting a vector onto the so-called k-capp...
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07/19/2021
Know Thyself: Transferable Visuomotor Control Through Robot-Awareness
Training visuomotor robot controllers from scratch on a new robot typica...
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07/14/2021
Dynamic Event Camera Calibration
Camera calibration is an important prerequisite towards the solution of ...
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06/03/2021
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals
Importance: An artificial intelligence (AI)-based model to predict COVID...
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05/11/2021
Improving the Transient Times for Distributed Stochastic Gradient Methods
We consider the distributed optimization problem where n agents each pos...
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04/01/2021
Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation
Despite rapid progress in scene segmentation in recent years, 3D segment...
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03/25/2021
Compressed Gradient Tracking Methods for Decentralized Optimization with Linear Convergence
Communication compression techniques are of growing interests for solvin...
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08/09/2020
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters
One of the central goals of precision health is the understanding and in...
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07/15/2020
Learning to Parse Wireframes in Images of Man-Made Environments
In this paper, we propose a learning-based approach to the task of autom...
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03/04/2020
Towards Fair Cross-Domain Adaptation via Generative Learning
Domain Adaptation (DA) targets at adapting a model trained over the well...
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07/23/2019
Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
In an effort to increase the capabilities of SLAM systems and produce ob...
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05/09/2019
PPGNet: Learning Point-Pair Graph for Line Segment Detection
In this paper, we present a novel framework to detect line segments in m...
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07/08/2014
