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Surfactant-dependent contact line dynamics and droplet adhesion on textured substrates: derivations and computations
We study the adhesion of a droplet with insoluble surfactant laid on its...
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Exploiting Learnable Joint Groups for Hand Pose Estimation
In this paper, we propose to estimate 3D hand pose by recovering the 3D ...
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Generative Learning With Euler Particle Transport
We propose an Euler particle transport (EPT) approach for generative lea...
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Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data
Protective behavior exhibited by people with chronic pain (CP) during ph...
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Transition path theory for Langevin dynamics on manifold: optimal control and data-driven solver
We present a data-driven point of view for the rare events, which repres...
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Partial FC: Training 10 Million Identities on a Single Machine
Face recognition has been an active and vital topic among computer visio...
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Infinite-Dimensional Fisher Markets and Tractable Fair Division
Linear Fisher markets are a fundamental economic model with applications...
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WeChat Neural Machine Translation Systems for WMT20
We participate in the WMT 2020 shared news translation task on Chinese t...
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Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining
As a spontaneous expression of emotion on face, micro-expression is rece...
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CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling
Point set is arguably the most direct approximation of an object or scen...
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A New Combinatorial Property of Geometric Unique Sink Orientations
A unique sink orientation (USO) is an orientation of the hypercube graph...
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PP-YOLO: An Effective and Efficient Implementation of Object Detector
Object detection is one of the most important areas in computer vision, ...
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Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement
Recently, most of the state-of-the-art human pose estimation methods are...
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First-order methods for large-scale market equilibrium computation
Market equilibrium is a solution concept with many applications such as ...
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Data-driven Efficient Solvers and Predictions of Conformational Transitions for Langevin Dynamics on Manifold in High Dimensions
We work on dynamic problems with collected data {x_i} that distributed o...
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Inbetweening auto-animation via Fokker-Planck dynamics and thresholding
We propose an equilibrium-driven deformation algorithm (EDDA) to simulat...
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Projection method for droplet dynamics on groove-textured surface with merging and splitting
We study the full dynamics of droplets placed on an inclined groove-text...
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Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
An outbreak of a novel coronavirus disease (i.e., COVID-19) has been rec...
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MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
We propose to incorporate neural architecture search (NAS) into general-...
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Stochastic Flows and Geometric Optimization on the Orthogonal Group
We present a new class of stochastic, geometrically-driven optimization ...
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Self-Supervised Light Field Reconstruction Using Shearlet Transform and Cycle Consistency
The image-based rendering approach using Shearlet Transform (ST) is one ...
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DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction
The Image-Based Rendering (IBR) approach using Shearlet Transform (ST) i...
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Application of Deep Q-Network in Portfolio Management
Machine Learning algorithms and Neural Networks are widely applied to ma...
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Learning Implicit Generative Models with Theoretical Guarantees
We propose a unified framework for implicit generative modeling (UnifiGe...
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Gradient flow formulation and second order numerical method for motion by mean curvature and contact line dynamics on rough surface
We study the dynamics of a droplet placing on an inclined rough surface,...
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Automated Testing for Deep Learning Systems with Differential Behavior Criteria
In this work, we conducted a study on building an automated testing syst...
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Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations
Proteins are the major building blocks of life, and actuators of almost ...
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Impact-Aware Online Motion Planning for Fully-Actuated Bipedal Robot Walking
Planning and control of legged robots is a difficult problem due to hybr...
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Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction
In socially assistive robotics, an important research area is the develo...
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Intra-Ensemble in Neural Networks
Improving model performance is always the key problem in machine learnin...
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Wasserstein-Wasserstein Auto-Encoders
To address the challenges in learning deep generative models (e.g.,the b...
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Social Behavior Learning with Realistic Reward Shaping
Deep reinforcement learning has been widely applied in the field of robo...
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Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance
This report demonstrates our solution for the Open Images 2018 Challenge...
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High-dimensional functional time series forecasting: An application to age-specific mortality rates
We address the problem of forecasting high-dimensional functional time s...
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Unity: A General Platform for Intelligent Agents
Recent advances in Deep Reinforcement Learning and Robotics have been dr...
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Energy Efficient and Fair Resource Allocation for LTE-Unlicensed Uplink Networks: A Two-sided Matching Approach with Partial Information
LTE-Unlicensed (LTE-U) has recently attracted worldwide interest to meet...
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NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction
State-of-the-art Convolutional Neural Network (CNN) benefits a lot from ...
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Multi-Glimpse LSTM with Color-Depth Feature Fusion for Human Detection
With the development of depth cameras such as Kinect and Intel Realsense...
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Spoken English Intelligibility Remediation with PocketSphinx Alignment and Feature Extraction Improves Substantially over the State of the Art
Automatic speech recognition is used to assess spoken English learner pr...
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Convex Geometry of the Generalized Matrix-Fractional Function
Generalized matrix-fractional (GMF) functions are a class of matrix supp...
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Symmetric Non-Rigid Structure from Motion for Category-Specific Object Structure Estimation
Many objects, especially these made by humans, are symmetric, e.g. cars ...
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Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
This paper addresses the problem of face recognition when there is only ...
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Deep Gate Recurrent Neural Network
This paper introduces two recurrent neural network structures called Sim...
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